Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-26T04:21:41.545Z Has data issue: false hasContentIssue false

On the Sobolev stability threshold for shear flows near Couette in 2D MHD equations

Published online by Cambridge University Press:  12 February 2024

Ting Chen
Affiliation:
School of Mathematics and Statistics, Central China Normal University, Wuhan, 430079, P. R. China (1255193542@qq.com)
Ruizhao Zi
Affiliation:
School of Mathematics and Statistics, and Key Laboratory of Nonlinear Analysis & Applications (Ministry of Education), Central China Normal University, Wuhan, 430079, P. R. China (rzz@ccnu.edu.cn)
Rights & Permissions [Opens in a new window]

Abstract

In this work, we study the Sobolev stability of shear flows near Couette in the 2D incompressible magnetohydrodynamics (MHD) equations with background magnetic field $(\alpha,0 )^\top$ on $\mathbb {T}\times \mathbb {R}$. More precisely, for sufficiently large $\alpha$, we show that when the initial datum of the shear flow satisfies $\left \| U(y)-y\right \|_{H^{N+6}}\ll 1$, with $N>1$, and the initial perturbations ${u}_{\mathrm {in}}$ and ${b}_{\mathrm {in}}$ satisfy $\left \| ( {u}_{\mathrm {in}},{b}_{\mathrm {in}}) \right \| _{H^{N+1}}=\epsilon \ll \nu ^{\frac 56+\tilde \delta }$ for any fixed $\tilde \delta >0$, then the solution of the 2D MHD equations remains $\nu ^{-(\frac {1}{3}+\frac {\tilde \delta }{2})}\epsilon$-close to $( e^{\nu t \partial _{yy}}U(y),0)^\top$ for all $t>0$.

Type
Research Article
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of The Royal Society of Edinburgh

1. Introduction

1.1 Problem statement and background

Consider the 2D incompressible MHD equations on $\mathbb {T}\times \mathbb {R}$:

(1.1)\begin{equation} \begin{cases} \partial_t\tilde{u}+\tilde{u}\cdot\nabla\tilde{u}-\tilde{b}\cdot\nabla\tilde{b}=\nu\Delta\tilde{u}-\nabla\tilde{p},\\ \partial_t\tilde{b}+\tilde{u}\cdot\nabla\tilde{b}-\tilde{b}\cdot\nabla\tilde{u}=\mu\Delta\tilde{b},\\ \mathrm{div}\tilde{u}=\mathrm{div}\tilde{b}=0. \end{cases} \end{equation}

Here $\mathbb {T}$ is the periodized interval $[0,1]$, $\tilde u=\tilde u(t, x, y): [0,\infty )\times \mathbb {T}\times \mathbb {R} \to \mathbb {R}^2$ denotes the velocity, $\tilde b=\tilde b(t,x,y): [0,\infty )\times \mathbb {T}\times \mathbb {R} \to \mathbb {R}^2$ denotes magnetic field, $\tilde p=\tilde p(t, x, y): [0,\infty )\times \mathbb {T}\times \mathbb {R} \to \mathbb {R}$ denotes pressure, $\nu$ denotes the inverse Reynolds number, and $\mu$ denotes the inverse magnetic Reynolds number. For a derivation of (1.1) and a general overview of MHD equations we refer the reader to [Reference Davidson17, Reference Lifschitz30].

Note that the shear profile $u_s=( e^{\nu t \partial _{yy}}U(y),0) ^\top$ is a solution of (1.1) in any uniform magnetic field $b_s=(\alpha,0 )^\top$, where $U(y)$ is a given smooth function, and $\alpha$ is a constant in $\mathbb {R}$. A natural question is to study the long time stability of the equilibrium state $(u_s, b_s)$. To this end, let us introduce the perturbations ${u}$ and ${b}$ by $\tilde {u}={u}+u_s$ and $\tilde {b}={b}+b_s$. Then $({u},{b})$ solves

(1.2)\begin{equation} \left\{ \begin{array}{ll} \partial_t {u}+\bar{U}\partial_x{u}+\begin{pmatrix}\bar{U}'{u}^2\\ 0\end{pmatrix}-\alpha \partial_x{b}-\nu\Delta {u}={-} {u} \cdot \nabla {u}+ {b} \cdot \nabla {b}-\nabla\tilde{p},\\ \partial_t {b}+\bar{U}\partial_x {b}-\begin{pmatrix}\bar{U}'{b}^2\\ 0\end{pmatrix}-\alpha \partial_x{u}-\mu\Delta {b}={-}{u} \cdot \nabla {b}+ {b} \cdot \nabla {u},\\ \nabla \cdot {u}= \nabla \cdot {b}=0,\\ {u}(0)={u}_{\mathrm{in}}, \quad {b}(0)={b}_{\mathrm{in}}, \end{array} \right. \end{equation}

where we have used the notations ${u}=( {u}_1,{u}_2)^\top,~{b}=( {b}_1,{b}_2)^\top$ and $\bar {U}=e^{\nu t \partial _{yy}}U(y)$. The corresponding perturbed vorticity and current density take the form of

\[ \omega=\partial_x {u}^2-\partial_y {u}^1,\quad j=\partial_x {b}^2-\partial_y {b}^1. \]

Let $\psi$ and $\phi$ be the steam functions such that

\[ {u}=(-\partial_y {\psi},\partial_x {\psi})^{\top}=\nabla^{\bot}{\psi},\quad {b}=(-\partial_y {\phi},\partial_x {\phi})^{\top}=\nabla^{\bot}{\phi}. \]

Then we infer from (1.2) that the system of $( \omega,j)$ is of the following form

(1.3)\begin{equation} \left\{ \begin{array}{ll} \partial_t \omega+\bar{U}\partial_x \omega-\alpha \partial_x j-\bar{U}''\partial_x{\psi}-\nu\Delta \omega={-}( {u} \cdot \nabla) \omega+( {b} \cdot \nabla) j,\\ \partial_t j+\bar{U}\partial_x j-\alpha \partial_x \omega+ \bar{U}''\partial_{x}{\phi}+2\bar{U}'\partial_{xy}{\phi}-\mu\Delta j={-}({u} \cdot \nabla )j+({b} \cdot \nabla) \omega \\ \quad \quad\quad\quad \quad\quad\quad \quad\quad\quad \quad\quad+ 2\partial_{xy} {\psi}(2\partial_{xx} {\phi} - j )-2\partial_{xy} {\phi}(2\partial_{xx}{\psi} - \omega ),\\ {u}=\nabla^\bot {\psi},\quad {b}=\nabla^\bot{\phi},\\ \Delta{\psi}=\omega,\quad \Delta{\phi}=j. \end{array} \right. \end{equation}

The mathematical theory of the stability of shear flows gained quite some attention in the last decade. The nonlinear stability of the 2D Couette flow on $\mathbb {T}\times \mathbb {R}$ in the Euler equation was first obtained by Bedrossian and Masmoudi in [Reference Bedrossian and Masmoudi6] when the initial perturbation is smoother than the Gevrey space of class 2. In particular, the inviscid damping, an important hydrodynamic phenomenon manifests itself as the algebraic decay of the velocity for the inviscid fluids, was rigorously justified at the nonlinear level in [Reference Bedrossian and Masmoudi6]. A generalization of the results in [Reference Bedrossian and Masmoudi6] to the finite channel $\mathbb {T}\times [0,1]$ for initial perturbation with compact support was given by Ionescu and Jia in [Reference Ionescu and Jia22]. The nonlinear inviscid damping for a class of monotone shear flows was proved in [Reference Ionescu and Jia23] and [Reference Masmoudi and Zhao33], independently. The stability results for the 2D Couette flow in inhomogeneous fluids can be found in [Reference Chen, Wei, Zhang and Zhang16, Reference Zhao51]. The instability result for the 2D Couette flow on $\mathbb {T}\times \mathbb {R}$ was shown by Deng and Masmoudi in [Reference Deng and Masmoudi18] when the initial perturbation is less smooth than the Gevrey space of class 2. For more general shear flows, the stability/instability results are more difficult to achieve due to the presence of nonlocal term. We refer to [Reference Chen, Wei and Zhang15, Reference Jia25, Reference Jia26, Reference Wei, Zhang and Zhao45, Reference Zillinger52] for the linear inviscid damping results for general monotone shear flows, and to [Reference Ionescu, Iyer and Jia24, Reference Wei, Zhang and Zhao46, Reference Wei, Zhang and Zhao47] for the linear stability results for non-monotone shear flows.

If the viscosity is taken into consideration, consider the toy model

\[ \partial_tg+y\partial_xg=\nu \Delta g, \quad (t,x,y)\in [0,\infty)\times\mathbb{T}\times\mathbb{R} \]

it is not difficult to show that the non-zero mode $g_{\neq }$ undergo enhanced dissipation, namely for some $c>0$ there holds

(1.4)\begin{equation} \|g_{\ne}(t)\|_{L^2}\lesssim e^{{-}c\nu^\frac {1}{3}t}\|g(0)\|_{L^2}. \end{equation}

The inviscid damping mentioned above and the enhanced dissipation demonstrated in (1.4) are two main stability mechanisms which are closely related to the stability threshold problem. That is, how small should initial perturbations be in terms of the viscous coefficient to ensure nonlinear stability? Since the early experiments of Reynolds [Reference Reynolds36], the the linear stability or instability of shear flows at high Reynolds number has been a classical problem in applied fluid mechanics [Reference Case10, Reference Kelvin27, Reference Orr35, Reference Schmid and Henningson39, Reference Yaglom48]. Significant progress has been made by Bedrossian, Germain and Masmoudi in [Reference Bedrossian, Germain and Masmoudi3Reference Bedrossian, Germain and Masmoudi5] for the nonlinear stability of the Couette flow on $\mathbb {T}\times \mathbb {R}\times \mathbb {T}$ by using the time dependent Fourier multiplier method. Then Wei and Zhang [Reference Wei and Zhang44] proved the nonlinear stability of the Couette flow on $\mathbb {T}\times \mathbb {R}\times \mathbb {T}$ as long as the initial perturbation satisfying $\|u_{\mathrm {in}}\|_{H^2}\ll \mathrm {Re}^{-1}$ with $\mathrm {Re}$ the Reynolds number. For the 2D the domain $\mathbb {T}\times \mathbb {R}$, a series of results can be found in [Reference Bedrossian, Masmoudi and Vicol7, Reference Bedrossian, Vicol and Wang8, Reference Masmoudi and Zhao34]. Recently, Li, Masmoudi and the first author of this paper [Reference Li, Masmoudi and Zhao29] studied the relationship between the size and the regularity of the initial perturbation that ensures the nonlinear asymptotic stability. For the periodic finite channels, a delicate resolvent estimate method was developed in [Reference Chen, Li, Wei and Zhang12, Reference Chen, Wei and Zhang14]. In particular, Chen, Wei and Zhang showed that the size of the initial perturbation in [Reference Wei and Zhang44] still ensures the stability of the Couette flow in the presence of physical boundary in [Reference Chen, Wei and Zhang14].

In the presence of magnetic field, the behaviours of the shear flows become more complicated. On the one hand, it is classically known that a strong background magnetic field can have a stability effect on a conducting fluid, see [Reference Chandrasekhar11, Reference Shivamoggi and Debnath40, Reference Velikhov42], for instance. On the other hand, the magnetic field may destabilize the system [Reference Chen and Morrison13] even with shear flows (including Couette flow) that are asymptotically stable. Tataronis and Grossmam [Reference Tataronis and Grossmann41] predicted that the decaying of the vertical components of velocity and magnetic field due to the phase mixing. Ren and Zhao [Reference Ren and Zhao38] gave a rigorous mathematical proof under the assumption that the magnetic field is positive and strictly monotone. In [Reference Hirota, Tatsuno and Yoshida20], Hirota, Tatsuno and Yoshida investigated the linearized behaviour of the ideal MHD equation around Couette flow $(k_fy, 0)$ and linear magnetic field $(k_my,0)$. They predicted that if $|k_f|<|k_m|$, then the magnetic island appears in the final state, namely the linear asymptotic stability fails, and if $|k_m|<|k_f|$, then linear damping holds and the magnetic island will be destructed. Recently, the generation of magnetic island was rigorously proved by Zhai, Zhang and Zhao in [Reference Zhai, Zhang and Zhao49], and the rigorously mathematical proof for the destruction of magnetic fields was given by Ren, Wei and Zhang in [Reference Ren, Wei and Zhang37]. We refer to [Reference Knobel and Zillinger28, Reference Liu, Masmoudi, Zhai and Zhao32] for more recent results for the linear stability results on shear flows in magnetic field. For the nonlinear stability result on this direction, Liss [Reference Liss31] proved that for strong and suitably oriented background fields $\alpha (\sigma,0,1)^\top$, the Couette flow $(y, 0,0)^\top$ is asymptotically stable provided the initial perturbations $u_{\mathrm {in}}$ and $b_{\mathrm {in}}$ satisfy

(1.5)\begin{equation} \|u_{\mathrm{in}}\|_{H^N}+\|b_{\mathrm{in}}\|_{H^N}\ll \nu=\mu,\end{equation}

with $N$ sufficiently large.

In this paper, under the same condition $\nu =\mu$ in [Reference Liss31], we study the nonlinear stability of the time dependent shear flow $u_s=( \bar {U}(t,y),0)$ in a uniform magnetic field $b_s=(\alpha,0)^\top$ on $\mathbb {T}\times \mathbb {R}$. More precisely, for $0<\nu =\mu \ll 1$, given an initial norm $X_i$ and a final norm $X_f$, our goal in this paper is determine a constant $\gamma =\gamma (X_i, X_f)\ge 0$ as small as possible, such that if the initial perturbations $\bar {u}_{\mathrm {in}}$ and $\bar {b}_{\mathrm {in}}$ satisfy

(1.6)\begin{equation} \left\|({u}_{\mathrm{in}}, {b}_{\mathrm{in}} )\right\|_{X_i} \le c_0 \nu^{\gamma}, \end{equation}

for $c_0$ sufficiently small (independent of $\nu$), then the solution of (1.1) is global in time and converges back to $( u_s,b_s )$ as $t \to \infty$ in the sense that

(1.7)\begin{equation} \left\| ({u},{b})\right\|_{L^\infty X_f} \lesssim c_0,\quad \lim_{t \to \infty}\left\| ({u}(t),{b}(t))\right\|_{X_f}=0. \end{equation}

1.2 The main result

Our main result is stated as follows.

Theorem 1.1 Let $N>1,$ $\mu =\nu \in (0,1]$. There exist two sufficiently large constants $\alpha _0>0$ and $C \ge 1$ independent of $\nu,$ such that for all $|\alpha |\ge \alpha _0,$ if the shear flow $U=U(y)$ satisfies

(1.8)\begin{equation} \left\| U(y)-y\right\|_{H^{N+6}(\mathbb{R})}=\delta \le C^{{-}1}, \end{equation}

with $\delta$ independent of $\nu$, and the initial perturbation obeys

(1.9)\begin{equation} \left\| \left( \omega_{\mathrm{in}},j_{\mathrm{in}}\right) \right\| _{H^N}+\left\| \left( {u}_{\mathrm{in}},{b}_{\mathrm{in}}\right) \right\| _{H^N}=\epsilon \le C^{{-}1} \nu^{\frac 56+\tilde\delta}, \end{equation}

for any fixed $\tilde \delta >0$, then the global in time solution $(\omega,j)$ to (1.3) obeys

(1.10)\begin{equation} \left\| (\omega,j)\circ (x+t\bar{U}(t,y),y)\right\|_{L^\infty (0,\infty;H^N(\mathbb{T}\times\mathbb{R}))} \le C\epsilon \nu^{-(\frac {1}{3}+\frac{\tilde\delta}{2})}, \end{equation}

and the enhanced dissipation estimate

(1.11)\begin{equation} \left\| (\omega_{\ne},j_{\ne})\circ (x+t\bar{U}(t,y),y)\right\| _{L^2 (0,\infty;H^N(\mathbb{T}\times\mathbb{R}))}\le C \epsilon \nu^{-\frac {1}{2}-\frac{\tilde\delta}{2}}. \end{equation}

Remark 1.2 The bounds (1.10) and (1.11) follow from (4.3), (4.5) in theorem 4.1 and lemma A.1 immediately. So the rest part of this paper aims to prove theorem 4.1.

Remark 1.3 It is not difficult to obtain the explicit enhanced dissipation decay $e^{-c\nu ^\frac {1}{3}t}$ for $(\omega _{\ne }, j_{\ne })$ like (1.4). In fact, we just need to change the multiplier $\tilde K$ (see (4.2)) slightly. Let ${\bf e}_{\ne }$ be a multiplier defined by

\[ \widehat{{\bf e}_{\ne}f}(k,\eta)=e^{{\bf 1}_{k\ne0}c\nu^\frac {1}{3}t}\hat{f}(k,\eta). \]

Set

\[ \mathsf{M}={\bf e}_{\ne}\tilde K. \]

Replacing the multiplier $\tilde K$ in (4.10) by $\mathsf {M}$, the proof of proposition 4.3 is still valid. In particular, one can use (3.21) to absorb the bad term $c\nu ^\frac {1}{3}\left \|\mathsf {M}Z^{\pm }_{\ne }\right \|_{L^2}^2$ arising from the time evolution of ${\bf e}_{\ne }$ for sufficiently small $c$ (see § 2.3 for the definition of $Z^{\pm }$). We refer to [Reference Zhang and Zi50] for more details of the use of the multiplier ${\bf e}_{\ne }$ to get the explicit enhanced dissipation decay $e^{-c\nu ^\frac {1}{3}t}$.

Remark 1.4 At first glance, it looks as if the loss $\nu ^{-\frac {1}{2}}$ on the right hand side of (1.11) might come from the diffusion $-\nu \Delta (\omega,j)$. As a matter of fact, roughly speaking, due to the linear growth $\langle t \rangle$ caused by the stretch $2\bar {U}'\partial _{xy}\phi$ (together with the oscillation stemming from the strong background magnetic field $(\alpha,0)^{\top }$) and the enhanced dissipation $e^{-c\nu ^\frac {1}{3}t}$ as mentioned in remark 1.3, $(\omega _{\ne }, j_{\ne })$ behaves like $\langle t\rangle e^{-c\nu ^\frac {1}{3}t}$. Clearly, $\left \|\langle t\rangle e^{-c\nu ^\frac {1}{3}t}\right \|_{L^2_t}\approx \nu ^{-\frac {1}{2}}$. This explains the loss $\nu ^{-\frac {1}{2}}$ on the right hand side of (1.11).

Remark 1.5 Compared with the Couette flow case $\bar {U}(t,y)=U(y)=y$, the extra exponent $\tilde \delta$ in (1.9) is derived from the linear stretch term $2\bar {U}'\partial _{xy}\phi$ in (1.3), which is absent in the 2D Navier–Stokes equations around shear flows near Couette (see [Reference Bedrossian, Vicol and Wang8]). It is open whether one can remove the extra exponent $\tilde \delta$ in (1.9).

Remark 1.6 The constant $C$ in theorem 1.1 depends on $\frac {1}{|\alpha |}$. As a matter of fact, if $\alpha =0$, the oscillations $-\alpha \partial _xj$ and $-\alpha \partial _x\omega$ disappear in (1.3). As a result, instead of the linear growth $\langle t\rangle$ in the case $|\alpha |\ge \alpha _0$, for $\alpha =0$ the linear stretch term $2\bar {U}'\partial _{xy}\phi$ in (1.3) will lead to $\langle t\rangle ^2$ growth even for $\bar {U}(t,y)=U(y)=y$, which costs more smallness of the initial perturbations in terms of some power of $\nu$ to ensure the stability.

1.3 Notations

  1. (1) Throughout this paper, we use the standard notation

    \[ \left\langle x\right\rangle =\sqrt{1+x^2} \]
    we write $\left \langle \nabla \right \rangle ^s$ for the operator with symbol
    \[ \left\langle \nabla\right\rangle^s=\left( 1+k^2+\eta^2\right) ^{\frac{s}{2}}. \]
  2. (2) We use the notation $f\lesssim g$ to mean that there exist some constant $C>0$ such that $f\le Cg$. This constant $C$ may depend on $N$ and $\alpha$, but not on $\nu$.

  3. (3) For a function $f(x,y)$, We denote the projection of $f$ onto the zero frequencies in $x$ by

    \[ f_0(y)=\int_{\mathbb{T}}f(x,y){\rm d}x. \]
    Then we write
    \[ f_\ne(x,y)=f(x,y)-f_0(y) \]
    for the projection onto the nonzero frequencies in $x$.
  4. (4) The Fourier transform of function $f$ is denoted by

    \[ \mathcal{F}(f)=\hat{f}(k,\eta)=\frac{1}{2\pi}\int_{\mathbb{T}\times \mathbb{R}}e^{{-}i(kx+\eta y)}f(x,y){\rm d}x{\rm d}y. \]
    The Fourier multiplier with symbol $m(t,k,\eta )$ is given by
    \[ mf=\mathcal{F}^{{-}1}\left( m(t,k,\eta) \mathcal{F} f\right) . \]
  5. (5) For any $a \in \mathbb {R}$, we use the shorthand notation

    (1.12)\begin{equation} O_a^t=e^{a \partial_x t} \end{equation}
    to denote the multiplier with symbol $e^{iakt}$. We then write $\partial _t O_a^t$ to denote the Fourier multiplier with symbol $iake^{iakt}$.
  6. (6) For $s\ge 0$, we define the Sobolev space $H^s$ by using the norm

    \[ \left\| f\right\|_{H^s} := \left\| \left\langle \nabla\right\rangle^s f \right\|_{L^2}. \]
    The notation $L^pL^q=L^p_tL^q_{x,y}$ is used for the Banach space $L^p([0,T];L^q(\Omega ))$ with norm
    \[ \left\| f(t,x)\right\|_{L^pL^q}=\big\| \|f(t,\cdot)\|_{L^q} \big\|_{L^p}. \]
  7. (7) For two real functions $f$ and $g$ , we write the associated inner product as

    \[ \left\langle f,g \right\rangle=\int_{\mathbb{T}\times\mathbb{R}} f g {\rm d}x {\rm d}y, \]
    and denote
    \[ \langle f,g \rangle _{H^s}= \left\langle \langle\nabla\rangle^sf, \langle\nabla\rangle^sg \right\rangle. \]

2. Reformulations and key ideas of the proof

2.1 Elsässer variables under the restriction $\mu =\nu$

Since we focus on the case $\nu =\mu$ in this paper, the symmetry of the system (1.3) enables us to reformulate it by using the Elsässer variables

\[ w^\pm{=}\omega\mp j. \]

Then $w^{\pm }$ solves

\begin{align*} & \partial_tw^\pm+\bar{U}\partial_xw^\pm{\pm}\alpha\partial_xw^{{\pm}}-\nu\Delta w^\pm\mp2\bar{U}'\partial_{xy}{\Delta^{{-}1}(w^{-}-w^+)}-\bar{U}''\partial_x{\Delta^{{-}1}w^{{\mp}}}\nonumber\\ & \quad= - \nabla^\bot\Delta^{{-}1}w^{{\mp}}\cdot\nabla w^{{\pm}}+\partial_{xy}\Delta^{{-}1}w^{{\mp}}(2\partial_{xx}\Delta^{{-}1}w^{{\pm}}-w^{{\pm}})\nonumber\\ & \qquad-\partial_{xy}\Delta^{{-}1}w^{{\pm}}(2\partial_{xx}\Delta^{{-}1}w^{{\mp}}-w^{{\mp}}). \end{align*}

Such kind of variables have played important roles in the study of large time behaviours of solutions to MHD equations in the absence of shear flows [Reference Bardos, Sulem and Sulem2, Reference Cai and Lei9, Reference He, Xu, Li and Yu19, Reference Wei and Zhang43], and the nonlinear stability result [Reference Liss31] where the three dimensional Couette flow $(y,0,0)^{\top }$ is taken into consideration as mentioned in § 1.

Similar to the 3D case, the background magnetic field $(\alpha, 0)^\top$ introduces oscillations (see the $-\alpha \partial _xw^\pm$ terms in (2.1)) that may stabilize the system. Following [Reference Liss31], we define the profiles

\[ z^{{\pm}}=O^t_{{\pm}\alpha}w^\pm \]

to hide the oscillations in the new unknowns $z^{\pm }$, where $O^t_{\pm \alpha }$ is defined in (1.12). Then $z^{\pm }$ solves

(2.1)\begin{equation} \begin{aligned} & \partial_tz^\pm+\bar{U}\partial_xz^\pm - \nu\Delta z^\pm+\bar{U}'\partial_{xy}\Delta^{{-}1}\left(z^\pm - O^t_{\pm2\alpha}z^\mp\right)-\bar{U}''\partial_x\Delta^{{-}1}O^t_{\pm2\alpha}z^{{\mp}}\\ & \quad={-}\nabla^\bot\Delta^{{-}1}O^t_{\pm2\alpha}z^{{\mp}}\cdot\nabla z^{{\pm}}+\partial_{xy}\Delta^{{-}1}O^t_{\pm2\alpha}z^{{\mp}}(2\partial_{xx}\Delta^{{-}1}z^{{\pm}}-z^{{\pm}})\\ & \qquad-\partial_{xy}\Delta^{{-}1}z^{{\pm}}(2\partial_{xx}\Delta^{{-}1}O^t_{\pm2\alpha}z^{{\mp}}-O^t_{\pm2\alpha}z^{{\mp}}). \end{aligned} \end{equation}

2.2 Change of coordinates

In this paper we use the coordinate transform introduced by Bedrossian, Vicol and Wang in [Reference Bedrossian, Vicol and Wang8] to unwind the decaying background shear flow $\bar {U}(t,y)$ in (2.1):

(2.2)\begin{equation} \left\{ \begin{array}{@{}ll} X=x-t\bar{U}(t,y)\\ Y=\bar{U}(t,y). \end{array} \right. \end{equation}

Denote the spatial derivatives of the shear flow in the new coordinates as follows

(2.3)\begin{equation} \begin{cases} a(t,Y(t,y)) & =\partial_y\bar{U}(t,y),\\ b(t,Y(t,y)) & =\partial_{y}^2\bar{U}(t,y),\\ c(t,Y(t,y)) & =\partial_y^3\bar{U}(t,y),\\ d(t,Y(t,y)) & =\partial_y^4\bar{U}(t,y). \end{cases} \end{equation}

Note that by the chain rule, we have

(2.4)\begin{equation} b=a\partial_Y a. \end{equation}

For any function $\tilde {h}$ in the $(x,y)$ coordinates, the corresponding function $h$ in the $(X,Y)$ coordinates is given by

\[ h(t,X,Y)=\tilde{h}(t,x,y). \]

Then $\nabla \tilde h$ and $\Delta \tilde h$ can be rewritten in the new coordinate system (2.2) in terms of $h$ as follows (the notations $\nabla _t$ and $\Delta _t$ are introduced naturally):

(2.5)\begin{equation} \nabla\tilde{h}(t,x,y)=(\partial_{x}\tilde{h}, \partial_{y}\tilde{h})=(\partial_{X}h, a(\partial_{Y}-t\partial_{X})h)=(\partial_{X}^t h, \partial_{Y}^t h)=\nabla _t h, \end{equation}

and

(2.6)\begin{equation} \begin{aligned} \Delta \tilde{h}(t,x,y) & =(\partial_{XX}+a^2\partial_{YY}^L+b\partial_{Y}^L)h=\Delta_t h\\ & =\Delta_L h +\left((a^2-1)\partial_{YY}^L+b\partial_{Y}^L\right)h\\ & =\tilde{\Delta}_t h + b\partial_{Y}^L h, \end{aligned} \end{equation}

where we have used the notations

\[ \partial_Y^L=\partial_Y-t\partial_X,\quad \partial_{YY}^L=(\partial_Y-t\partial_X)^2, \]

and the modified Laplace operator is given by

(2.7)\begin{equation} \tilde{\Delta}_t = \Delta_L +(a^2-1)\partial_{YY}^L,\quad \mathrm{with}\quad \Delta_L=\partial_{XX}+\partial_{YY}^L. \end{equation}

Finally, using the fact $\partial _t \bar {U} =\nu \partial _y^2\bar {U}$ and the definitions of $a$ and $b$, we have

(2.8)\begin{equation} \partial_t{\tilde{h}}=\partial_t h +\partial_X h(-\bar{U}-t\partial_t \bar{U})+\partial_Y h \partial_t \bar{U} =\partial_t h-Y\partial_X h +\nu b\partial_Y^Lh.\end{equation}

In particular,

\[ \partial_t\partial_y\bar{U}=\partial_ta+\nu b\partial_Ya,\quad\mathrm{and}\quad \partial_t\partial_y^2\bar{U}=\partial_tb+\nu b\partial_Yb, \]

which, together with the fact $\partial _t\bar {U}=\nu \partial _y^2\bar {U}$ imply that

(2.9)\begin{equation} \partial_ta=\nu c-\nu b\partial_Ya,\quad\mathrm{and}\quad \partial_tb=\nu d-\nu b\partial_Yb. \end{equation}

2.3 Definition of $\Delta _t^{-1}$ and system (2.1) under new coordinates

In this subsection, we first give the definition of the inverse of $\Delta _t$ in the spirit of Antonelli, Dolce, and Marcati [Reference Antonelli, Dolce and Marcati1]. For the sake of completeness, we sketch the definitions below.

To begin with, assume that $a^2-1=(a^2-1)(t, Y)$ and $b=b(t, Y)$ are given functions in $L^\infty (\mathbb {R}^+; H^1(\mathbb {R}))$, then the fact that $\Delta _L^{-1}$ is well defined for $k\ne 0$ enables us to define an operator on $L^2(\mathbb {T}\times \mathbb {R})$:

(2.10)\begin{equation} \tilde \Lambda=\left((a^2-1)\partial_{YY}^L+b\partial^L_Y\right)(-\Delta_L)^{{-}1}, \end{equation}

with

(2.11)\begin{equation} \|\tilde \Lambda\|_{L^2\rightarrow L^2}\le C_* \left(\|a^2-1\|_{L^\infty H^1}+\|b\|_{L^\infty H^1}\right), \end{equation}

for some constant $C_*\ge 1$, see proposition 4.1 in [Reference Antonelli, Dolce and Marcati1] for more details.

Definition 2.1 Assume that $(\|a^2-1\|_{L^\infty H^1}+\|b\|_{L^\infty H^1})\le \delta$ such that $C_*\delta <1$, then for $k\ne 0$, let us define

(2.12)\begin{equation} \Delta_t^{{-}1}:=\Delta_L^{{-}1}\Lambda, \quad\mathrm{i. e.}\quad \Lambda\Delta_t=\Delta_L, \end{equation}

where

\[ \Lambda:=(I-\tilde \Lambda)^{{-}1}=\sum_{n=0}^\infty\tilde \Lambda^n. \]

Remark 2.2 For the operator $\Lambda$, we also have the following useful identity

(2.13)\begin{equation} \Lambda=I+\tilde \Lambda \Lambda. \end{equation}

Now we are in a position to rewrite (2.1) under the coordinates defined by (2.2). To this end, let us denote

\begin{align*} & Z^\pm(t,X,Y)=z^\pm(t, x,y),\\ & U^1_0(t, Y)=u^1_0(t,y),\\ & B^1_0(t, Y)=b^1_0(t,y). \end{align*}

Note that

(2.14)\begin{equation} \partial_{XY}^L\Delta_t^{{-}1}=\partial_{XY}^L\Delta_L^{{-}1}\Delta_L\Delta_t^{{-}1}=S\Lambda, \quad\mathrm{with}\quad S=\partial^L_{XY}\Delta_L^{{-}1}, \end{equation}

and

\[ \nabla^\bot\Delta^{{-}1}O^t_{\pm2\alpha}z^{{\mp}}_0\cdot\nabla z^{{\pm}}={-}\partial_y\partial_{yy}^{{-}1}z^\mp_0\partial_xz^\pm{=}{-}\partial_y\partial_{yy}^{{-}1}w^\mp_0\partial_xz^\pm{=}\left(u^1_0\pm b^1_0\right)\partial_xz^\pm_\ne. \]

Then it follows from (2.1) that the equations of $Z^\pm$ take the form of

(2.15)\begin{equation} \partial_tZ^\pm - \nu\tilde{\Delta}_t Z^\pm+a^2S\Lambda\left(Z^\pm - O^t_{\pm2\alpha}Z^\mp\right)-b\partial_X\Delta^{{-}1}_tO^t_{\pm2\alpha}Z^{{\mp}}=\mathrm{NL}^\pm, \end{equation}

or

(2.16)\begin{equation} \partial_tZ^\pm - \nu{\Delta}_L Z^\pm+S\Lambda\left(Z^\pm - O^t_{\pm2\alpha}Z^\mp\right)=\mathrm{LP}^\pm+\mathrm{NL}^\pm, \end{equation}

where

(2.17)\begin{equation} \mathrm{NL}^{{\pm}}:=\mathrm{NLT}^{{\pm}}+\mathrm{NLS1}^{{\pm}}+\mathrm{NLS2}^{{\pm}}, \end{equation}

with

\begin{align*} \mathrm{NLT}^{{\pm}}& ={-}\left(U^1_0\pm B^1_0\right)\partial_X Z^{{\pm}}_\ne-\nabla^\bot_t\Delta^{{-}1}_tO^t_{\pm2\alpha}Z^{{\mp}}_\ne\cdot\nabla_t Z^{{\pm}},\\ \mathrm{NLS1}^{{\pm}}& =aS\Lambda O^t_{\pm2\alpha}Z^{{\mp}}_\ne(2\partial_{XX}\Delta^{{-}1}_tZ^{{\pm}}_\ne-Z^{{\pm}}),\\ \mathrm{NLS2}^{{\pm}}& ={-}aS\Lambda Z^{{\pm}}_\ne(2\partial_{XX}\Delta^{{-}1}_tO^t_{\pm2\alpha}Z^{{\mp}}_\ne-O^t_{\pm2\alpha}Z^{{\mp}}), \end{align*}

and

(2.18)\begin{align} \mathrm{LP}^{{\pm}}:={-}(a^2-1)S\Lambda\left(Z^\pm - O^t_{\pm2\alpha}Z^\mp\right)+b\partial_X\Delta^{{-}1}_tO^t_{\pm2\alpha}Z^{{\mp}}+\nu(a^2-1)\partial_{YY}^LZ^\pm. \end{align}

Here ‘$\mathrm {NLT}$’, ‘$\mathrm {NLS}$’ and ‘$\mathrm {LP}$’ stand for ‘nonlinear transport’, ‘nonlinear stretch’ and ‘linear perturbation’, respectively.

2.4 Toy model and key ideas

Compared with the Navier–Stokes equations around 2D shear flows near Couette [Reference Bedrossian, Vicol and Wang8], and the MHD equations around 3D Couette flows [Reference Liss31], we will encounter new difficulties for the MHD equations around 2D shear flows near Couette. In order to track the difficulties precisely, let us consider the toy model

(2.19)\begin{equation} \partial_tf^\pm+S\Lambda f^\pm - \nu\Delta_Lf^\pm = 0, \end{equation}

or equivalently in Fourier variables

(2.20)\begin{equation} \partial_t\widehat{f^\pm}+\frac{k(\eta-kt)}{k^2+(\eta-kt)^2}\widehat{\Lambda f^\pm}-\nu\left(k^2+(\eta-kt)^2\right)\widehat{f^\pm}=0. \end{equation}

It is worth pointing out that if the shear flow is the Couette flow, i.e., $\bar {U}(t,y)=U(y)=y$, the operator $\Lambda$ in (2.20) will not appear. This scenario is reminiscent of the toy model introduced by Bedrossian, Germain and Masmoudi in [Reference Bedrossian, Germain and Masmoudi3] for the 3D Navier–Stokes equations near Couette:

\begin{align*} & \partial_t\hat{g}(t,k,\eta,l)+\frac{2k(\eta-kt)}{k^2+(\eta-kt)^2+l^2}\hat{g}(t, k,\eta,l)\\& \quad -\nu\left(k^2+(\eta-kt)^2+l^2\right)\hat{g}(t,k,\eta,l)=0. \end{align*}

To balance the interaction between $\frac {2k(\eta -kt)}{k^2+(\eta -kt)^2+l^2}\hat {g}$ and $-\nu (k^2+(\eta -kt)^2+l^2)\hat {g}$, the authors in [Reference Bedrossian, Germain and Masmoudi3] constructed a multiplier $m(t,k, \eta,l)$ satisfying

\[ \frac{\partial_tm}{m}=\frac{2k(\eta-kt)}{k^2+(\eta-kt)^2+l^2}\quad \mathrm{for} \quad t\in \left[\frac{\eta}{k}, \frac{\eta}{k}+1000\nu^{-\frac {1}{3}}\right]. \]

More precisely, the two dimensional analogue of the multiplier $m(t,k, \eta,l)$ is given as follows:

  1. (1) if $k = 0: m(t,0,\eta ) = 1$;

  2. (2) if $k \ne 0, \frac {\eta }{k} < -1000\nu ^{-\frac {1}{3}}: m(t,k,\eta ) = 1$;

  3. (3) if $k \ne 0, -1000\nu ^{-\frac {1}{3}} < \frac {\eta }{k} < 0$:

    • $m(t,k,\eta ) = \frac {k^2+\eta ^2}{k^2+(\eta -kt)^2}$ if $0 < t < \frac {\eta }{k}+1000\nu ^{-\frac {1}{3}}$,

    • $m(t,k,\eta ) = \frac {k^2+\eta ^2}{k^2+(1000k\nu ^{-\frac {1}{3}})^2}$ if $t > \frac {\eta }{k}+1000\nu ^{-\frac {1}{3}}$;

  4. (4) if $k \ne 0, \frac {\eta }{k} > 0$:

    • $m(t,k,\eta ) = 1$ if $t < \frac {\eta }{k}$,

    • $m(t,k,\eta ) = \frac {k^2}{k^2+(\eta -kt)^2}$ if $\frac {\eta }{k} < t < \frac {\eta }{k} + 1000\nu ^{-\frac {1}{3}}$,

    • $m(t,k,\eta ) =\frac {k^2}{k^2+(1000k\nu ^{-\frac {1}{3}})^2}$ if $t > \frac {\eta }{k} + 1000\nu ^{-\frac {1}{3}}$.

Notice, in particular, that

(2.21)\begin{equation} \nu^{\frac{2}{3}}\lesssim m(t, k, \eta)\leq 1, \end{equation}

and

(2.22)\begin{equation} m(t, k, \eta)\gtrsim \frac{k^2}{k^2+(\eta-kt)^2}. \end{equation}

In our case, for the Couette flow, it suffices to use $m^{\frac {1}{2}}(t,k,\eta )$ instead of $m(t,k,\eta )$ to suppress the potential growth caused by the linear stretch term $\frac {k(\eta -kt)}{k^2+(\eta -kt)^2}\widehat {f^{\pm }}$. Nevertheless, for general shear flows the presence of the operator $\Lambda$ may amplify the linear stretch effect since the norm of $\Lambda$ may be larger than 1 even though the shear flow $\bar {U}$ is close to Couette. Roughly speaking, one can regard the linear stretch term in (2.20) as $(1+O(\tilde \delta ))\frac {k(\eta -kt)}{k^2+(\eta -kt)^2}\widehat {f^{\pm }}$ with $\tilde \delta >0$. Then it is natural to modify the multiplier $m^{\frac {1}{2}}(t,k,\eta )$ so as to suppress the extra growth resulting from the operator $\Lambda$. To this end, our strategy is to replace $m^{\frac {1}{2}}(t,k,\eta )$ with $\tilde {m}^{\frac {1}{2}}(t,k,\eta )$, where $\tilde m(t,k,\eta )$ is defined by

(2.23)\begin{equation} \tilde m(t, k, \eta)=m^{1+\frac {3}{2}\tilde\delta}(t, k,\eta), \end{equation}

with arbitrary $\tilde \delta >0$. Note that

(2.24)\begin{equation} \frac{\partial_t\tilde m(t, k,\eta)}{\tilde m(t, k,\eta)}=\left(1+\frac 32\tilde\delta\right)\frac{\partial_tm(t, k,\eta)}{m(t, k,\eta)}. \end{equation}

Then (2.21) and (2.22) reduce to

(2.25)\begin{equation} \nu^{\frac{2}{3}+\tilde\delta}\lesssim \tilde m(t, k, \eta)\leq 1, \end{equation}

and

(2.26)\begin{equation} \tilde m(t, k, \eta)\gtrsim \left(\frac{k^2}{k^2+(\eta-kt)^2}\right)^{1+\frac 32\tilde\delta}. \end{equation}

For $(t,k,\eta )\in [0,\infty )\times \mathbb {Z}\backslash \{0\}\times \mathbb {R}$, let us define the following three disjoint sets

\begin{align*} D_{dam}& =\left\{ (t,k,\eta): t<\frac{\eta}{k}\right\},\\ D_{dis}& =\left\{ (t,k,\eta): \frac{\eta}{k}<{-}1000\nu^{-\frac {1}{3}}\right\}\cup\left\{{-}1000\nu^{-\frac {1}{3}}<\frac{\eta}{k}, t\ge\frac{\eta}{k}+1000\nu^{-\frac {1}{3}}\right\},\\ D_{mul}& =\left\{(t,k,\eta): -1000\nu^{-\frac {1}{3}}<\frac{\eta}{k}\le0, t<\frac{\eta}{k}+1000\nu^{-\frac {1}{3}}\right\}\\& \quad \cup\left\{(t,k,\eta): \frac{\eta}{k}>0, \frac{\eta}{k}\le t<\frac{\eta}{k}+1000\nu^{-\frac {1}{3}}\right\}. \end{align*}

Then the effects of the linear stretch are summarized as follows:

  1. (1) if $(t, k, \eta )\in D_{dam}$, then $k(\eta -kt)\ge 0$, and thus the linear stretch term behaves as a damping.

  2. (2) if $(t, k, \eta )\in D_{dis}$, we have

    \[ \left|t-\frac{\eta}{k}\right|\ge1000\nu^{-\frac {1}{3}}, \]
    and thus
    (2.27)\begin{equation} \frac{|k(\eta-kt)|}{k^2+(\eta-kt)^2}\le \frac{1}{1000^3} \nu\left(k^2+(\eta-kt)^2\right), \end{equation}
    which means that the linear stretch is dominated by the dissipation.
  3. (3) by the definition of $\tilde m$, there holds

    (2.28)\begin{equation} \frac{|k(\eta-kt)|}{k^2+(\eta-kt)^2}{\bf 1}_{D_{mul}}(t, k,\eta)=\frac{1}{1+\frac 32\tilde\delta}\frac{-\partial_t(\tilde m^{1/2})(t, k,\eta)}{\tilde m^{1/2}(t, k, \eta)}, \end{equation}
    that is to say, the effect of the linear stretch is balanced by the evolution of ${\tilde m}^\frac {1}{2}$ on $D_{mul}$.

Remark 2.3 Clearly, the following decomposition of unity holds

\begin{align*} 1={\bf 1}_{D_{dam}}(t, k,\eta)+{\bf 1}_{D_{dis}}(t, k,\eta)+{\bf 1}_{D_{mul}}(t, k,\eta), \quad \mathrm{for \ \ all} \\ (t,k,\eta)\in[0,\infty)\times\mathbb{Z}\backslash\{0\}\times\mathbb{R}. \end{align*}

Then it follows from (2.27) and (2.28) that

(2.29)\begin{align} & \frac{|k(\eta-kt)|}{k^2+(\eta-kt)^2}\\ & \quad=\frac{k(\eta-kt)}{k^2+(\eta-kt)^2}{\bf 1}_{D_{dam}}(t, k,\eta)+\frac{|k(\eta-kt)|}{k^2+(\eta-kt)^2}{\bf 1}_{D_{dis}}(t, k,\eta)\nonumber\\ & \qquad-\frac {1}{2}\frac{1}{1+\frac 32\tilde\delta}\frac{\dot {\tilde m}(t, k,\eta)}{\tilde m(t, k,\eta)}\nonumber\\ & \quad\le\frac{k(\eta-kt)}{k^2+(\eta-kt)^2}{\bf 1}_{D_{dam}}(t, k,\eta)+\frac{1}{1000^3} \nu\left(k^2+(\eta-kt)^2\right)\nonumber\\ & \qquad-\frac{1}{1+\frac 32\tilde\delta}\frac{\partial_t (\tilde m^{1/2})(t, k,\eta)}{\tilde m^{1/2}(t, k, \eta)}. \nonumber \end{align}

The treatment of the general shear flow $(\bar {U},0)^\top$ is much more complicated than that of the Couette flow $(y,0)^\top$. In fact, for the case $\bar {U}(t,y)=U(y)=y$, once the multiplier $m(t,k,\eta )$ is well defined as above, then it is straightforward to deal with the linear stretch term, see (3.24). In particular, the damping effect stemming from the linear stretch term when $(t,k,\eta )\in D_{dam}$ can be ignored. However, for the case that $U(y)$ is close to $y$, the appearance of the operator $\Lambda$ makes the damping effect of the linear stretch $\frac {k(\eta -kt)}{k^2+(\eta -kt)^2}\widehat {\Lambda f^\pm }$ unclear even though $(t,k,\eta )\in D_{dam}$. Our strategy is to isolate the damping effect by using (2.13):

(2.30)\begin{align} {\bf 1}_{D_{dam}}\frac{k(\eta-kt)}{k^2+(\eta-kt)^2}\widehat{\Lambda f^\pm}={\bf 1}_{D_{dam}}\frac{k(\eta-kt)}{k^2+(\eta-kt)^2}\widehat{ f^\pm}+{\bf 1}_{D_{dam}}\frac{k(\eta-kt)}{k^2+(\eta-kt)^2}\widehat{\tilde{\Lambda}\Lambda f^\pm}. \end{align}

The first term on the right hand side of (2.30) is the main part, and the second term is the perturbation. Some delicate commutator estimates will be performed to treat the perturbation. As a result, lots of errors appear. To close the estimates, the damping effect captured by the main part of the linear stretch in (2.30), together with the dissipation and other good terms, will be used to absorb the errors. See Step I of § 4.1 for more details.

In addition, the presence of the operator $\Lambda$ leads us to estimate the composition $B\circ \Lambda$ for some multiplier $B$ involved in this paper. The continuity of $B\circ \Lambda$ depends on the commutator estimates of $B$. That's why we give a collection of commutator estimates in Appendix B. In particular, some extra terms appear in the commutator estimate of $\sqrt {-\frac {\partial _t(\tilde m^\frac {1}{2})}{\tilde m^\frac {1}{2}}}\tilde K$, see lemma B.4. This motivates us to establish a composition inequality for the multipliers whose commutator estimates have extra errors with better commutator estimates, see lemma C.1 for the details.

On the other hand, it is worth pointing out that the above toy model (2.19) ignored the oscillation terms $O^t_{\pm 2\alpha }S\Lambda f^{\mp }$, which should be taken into consideration as well in the energy estimates. In order to take advantage of the oscillator $O^t_\alpha$, noting that

(2.31)\begin{equation} \widehat{O^t_\alpha}=\frac{1}{i\alpha k}\partial_t\widehat{O^t_\alpha}\quad \mathrm{for}\quad k\ne0, \end{equation}

integrating by parts with respect to the time variable will be exploited as that in [Reference Liss31]. In this way, we will inevitably encounter the time derivative of the operator $\Lambda$. To achieve this, using again (2.13), we obtain an important relation

(2.32)\begin{equation} \partial_t\Lambda=\Lambda\partial_t\tilde \Lambda\Lambda, \end{equation}

where $\partial _t\tilde \Lambda$ is derived from (2.10)

(2.33)\begin{align} \partial_t\tilde \Lambda\,{=}\left[2(a^2\,{-}\,1)S+b\partial_X\Delta^{{-}1}_{L}+2\tilde \Lambda S\right]\,{+}\,\left(2a\partial_ta\partial_{YY}^L\,{+}\,\partial_tb\partial^L_Y\right)(-\Delta_L)^{{-}1}=:\tilde \Lambda_t^1+\tilde\Lambda_t^2. \end{align}

See the estimates of $\mathrm {OLS}_5$ in Step II of § 4.1 for more details.

Finally, we would like to remark that, unlike [Reference Antonelli, Dolce and Marcati1], the coefficients $a$ and $b$ hidden in the definition of $\Delta _t^{-1}$ are time dependent (see (2.10) and (2.12)), and $\partial _ta$ and $\partial _tb$ are involved when performing integrating by parts in time (see (2.33)). Accordingly, recalling (2.3) and (2.9), we find that some higher derivatives of $\bar {U}$ are actually involved. This partially explains the extra regularities required in (1.8).

3. Stability of the Couette flow

For comparison, we discuss in this section the case that the shear flow is the Couette flow. In fact, under the condition $\bar {U}(t,y)=U(y)=y$, the change of coordinates (2.2) reduces to

(3.1)\begin{equation} X=x-ty,\quad Y=y. \end{equation}

Without causing confusion, we continue to use the unknowns and notations introduced in § 2. Then it is easy to see that the system (2.15) now reads

(3.2)\begin{align} & \partial_t Z^{{\pm}}-\nu\Delta_L Z^{{\pm}}+S\left( Z^{{\pm}}-O^t_{\pm2\alpha} Z^{{\mp}}\right)\nonumber\\ & \quad={-}\nabla^\bot_L\Delta^{{-}1}_LO^t_{\pm2\alpha} Z^{{\mp}}\cdot\nabla_L Z^{{\pm}}+SO^t_{\pm2\alpha} Z^{{\mp}}(2\partial_{XX}\Delta^{{-}1}_L Z^{{\pm}}- Z^{{\pm}})\nonumber\\ & \qquad-S Z^{{\pm}}(2\partial_{XX}\Delta^{{-}1}_LO^t_{\pm2\alpha} Z^{{\mp}}-O^t_{\pm2\alpha} Z^{{\mp}}). \end{align}

The purpose of this section is to establish the following theorem.

Theorem 3.1 Let $\mu =\nu \in (0,1], N>1$. There exist a universal constant $\alpha _0>0$, and a positive constant $\delta$ depending only on $N$ and $\alpha$, such that if $|\alpha |\ge \alpha _0$ and

(3.3)\begin{equation} \|(\omega_{\mathrm{in}},j_{\mathrm{in}})\|_{H^N}+\|(u_{\mathrm{in}}, b_{\mathrm{in}})\|_{H^{N}}=\epsilon\le\delta\nu^{\frac 56}, \end{equation}

then the following estimates hold

(3.4)\begin{align} & \| Z^\pm \|_{L^\infty H^N}+\nu^\frac {1}{2} \| \nabla_L Z^\pm\|_{L^2H^N}\lesssim \epsilon \nu^{-\frac {1}{3}}, \end{align}
(3.5)\begin{align} & \| (u_0^1\mp b_0^1)\|_{L^\infty H^N}+\nu^{\frac {1}{2}}\| \partial_y(u_0^1\mp b_0^1)\|_{L^2H^N}\lesssim \epsilon. \end{align}

and

(3.6)\begin{equation} \| Z_{\ne}^\pm\|_{L^2H^N}\lesssim \epsilon \nu^{-\frac {1}{2}}. \end{equation}

Theorem 3.1 will be proved by using the Fourier multiplier method. In other words, the norms involved in the proof are defined based on special, time-dependent Fourier multipliers. Apart from the multiplier $m(t, k,\eta )$ defined in § 2, we also need two extra multipliers that are modified from the ones introduced in the study of the stability of the three dimensional Couette flow in [Reference Bedrossian, Germain and Masmoudi3]. More precisely, define

(3.7)\begin{align} -\frac{\dot{\mathit{M}}_1}{\mathit{M}_1}& =\frac{k^2}{{k}^2+|\eta-kt|^2}\quad \mathrm{and}\quad \mathit{M}_1(0, k, \eta)=1; \end{align}
(3.8)\begin{align} -\frac{\dot{\mathit{M}}_2}{\mathit{M_2}} & = \frac{\nu^{\frac{1}{3}}}{\left( \nu^{\frac{1}{3}}\left|t-\frac{\eta}{k}\right| \right)^2+1 }\quad \mathrm{and}\quad \mathit{M}_2(0, k, \eta)=1. \end{align}

The multiplier $M_1$ is used to capture the inviscid damping effect in terms of the $L^2$ time integrability, and $M_2$ is designed to show the enhanced dissipation effect. Clearly, $M_1$ and $M_2$ can be given explicitly, and then one deduces that

(3.9)\begin{equation} M_i\approx1, \quad\mathrm{for}\quad i=1, 2. \end{equation}

For more properties of multiplier $M_1$ and $M_2$, one can refer to lemma 4.1 of [Reference Bedrossian, Vicol and Wang8].

Let us denote

(3.10)\begin{equation} M:=M_1M_2,\quad K := \left\langle \nabla\right\rangle ^Nm^{1/2}M. \end{equation}

Then from (2.21) and (3.9), we find that for any $f=f(X,Y)\in H^N$,

(3.11)\begin{equation} \nu^\frac {1}{3}\|f\|_{H^N}\lesssim\|m^\frac {1}{2}f\|_{H^N}\approx\|Kf\|_{L^2}\lesssim\|f\|_{H^N}. \end{equation}

In addition, we need to estimate the interactions between the non-zero modes in the treatment of the nonlinear terms, so the following lemma is introduced.

Lemma 3.2 Let $N>1$. Then for all $f\in L^2H^N$ and $g$ such that $\nabla _Lg\in L^2H^N$, there holds

(3.12)\begin{align} & \|\nabla^\bot_L\Delta^{{-}1}_Lf_{{\neq}}\cdot \nabla_Lg_{{\neq}}\|_{L^1H^N}\nonumber\\& \quad \le C \left(\|Kf_{{\neq}}\|_{L^2L^2}+\nu^{-\frac {1}{3}}\left\|\sqrt{-\frac{\dot{M}}{M}}Kf_{{\neq}}\right\|_{L^2L^2}\right)\|\nabla_LKg_{{\neq}}\|_{L^2L^2}. \end{align}

Proof. We first write

\[ \nabla^\bot_L\Delta^{{-}1}_Lf_{{\neq}}\cdot \nabla_Lg_{{\neq}}={-}\partial_Y^L\Delta_L^{{-}1}f_{{\neq}}\partial_Xg_{{\neq}}+\partial_X\Delta_L^{{-}1}f_{{\neq}}\partial_Y^Lg_{{\neq}}. \]

Thanks to (2.22), there hold

(3.13)\begin{equation} |k|\lesssim\sqrt{k^2+(\eta-kt)^2}m^{1/2},\quad\mathrm{i.e.}\quad |\partial_X|\lesssim |\nabla_L|m^{1/2}, \end{equation}

and

(3.14)\begin{equation} |\partial_Y^L\Delta^{{-}1}_L|\le\frac{|\eta-kt|}{k^2+(\eta-kt)^2}\le\frac{1}{\sqrt{k^2+(\eta-kt)^2}}\lesssim m^{1/2}, \quad k\neq0. \end{equation}

Combining these two estimates with (3.11) yields

(3.15)\begin{align} & \|\partial_Y^L\Delta_L^{{-}1}f_{{\neq}}\partial_Xg_{{\neq}}\|_{L^1H^N}\nonumber\\& \quad \lesssim\|m^{1/2}f_{{\neq}}\|_{L^2H^N}\|\nabla_Lm^{1/2}g_{{\neq}}\|_{L^2H^N} \approx \|Kf_{{\neq}}\|_{L^2L^2}\|\nabla_LKg_{{\neq}}\|_{L^2L^2}. \end{align}

To estimate $\partial _X\Delta _L^{-1}f_\neq \partial _Y^Lg_\neq$, in view of (2.21), (2.22) and the definition of $M$, we arrive at

(3.16)\begin{equation} |\partial_X\Delta^{{-}1}_L|\le\frac{|k|}{k^2+(\eta-kt)^2}\le\min\left\{-\frac{\dot M_1}{M_1}, \sqrt{-\frac{\dot M_1}{M_1}}, \sqrt{-\frac{\dot{M}}{M}}m^{1/2}\right\}, \end{equation}

and

(3.17)\begin{equation} |\partial_Y^L|\lesssim\nu^{{-}1/3}m^{1/2}|\nabla_L|. \end{equation}

Accordingly,

(3.18)\begin{align} \|\partial_X\Delta_L^{{-}1}f_{{\neq}}\partial_Y^Lg_{{\neq}}\|_{L^1H^N}& \lesssim\nu^{-\frac {1}{3}}\left\|\sqrt{-\frac{\dot{M}}{M}}m^{1/2}f_{{\neq}}\right\|_{L^2H^N}\|m^{1/2}\nabla_Lg_{{\neq}}\|_{L^2H^N}\nonumber\\ & \approx\nu^{-\frac {1}{3}}\left\|\sqrt{-\frac{\dot{M}}{M}}Kf_{{\neq}}\right\|_{L^2L^2}\|\nabla_LKg_{{\neq}}\|_{L^2L^2}. \end{align}

It follows from (3.15) and (3.18) that (3.12) holds. This completes the proof of lemma 3.2.

3.1 Proof of theorem 3.1

To prove theorem 3.1, it suffices to establish the following a priori estimates:

(3.19)\begin{equation} \|KZ^\pm\|_{L^\infty L^2}+\nu^\frac {1}{2}\|\nabla_LKZ^\pm\|_{L^2L^2}+\left\|\sqrt{-\frac{\dot{M}}{M}}KZ^\pm\right\|_{L^2L^2}\le8\epsilon, \end{equation}

and

(3.20)\begin{equation} \left\|u^1_0\mp b^1_0\right\|_{L^\infty H^N}+\nu^\frac {1}{2}\left\|\partial_y(u^1_0\mp b^1_0)\right\|_{L^2H^N}\le8\epsilon. \end{equation}

Indeed, (3.4) is a direct consequence of (3.11) and (3.19), and (3.5) is nothing but (3.20). To prove (3.6), by the definition of $M_2$, we have

(3.21)\begin{equation} 1\lesssim \nu^{-\frac 16}\left( \sqrt{-\frac{\dot{M_2}}{M_2}(t,k,\eta)}+\nu^{\frac {1}{2}}\left| k,\eta-kt\right| \right). \end{equation}

It follows that

(3.22)\begin{equation} \|KZ_{\ne} \|_{L^2L^2}\lesssim \nu^{-\frac 16}\left( \nu^{\frac {1}{2}}\left\| \nabla_L KZ_{\ne}\right\|_{L^2L^2}+\left\|\sqrt{-\frac{\dot{M}}{M}}KZ_{{\neq}} \right\|_{L^2L^2} \right). \end{equation}

Thus, (3.6) follows from (3.11), (3.19) and (3.22) immediately.

Next we will prove (3.19) and (3.20) by using the standard continuity method. First of all, the local well-posedness of the 2D MHD equations in $H^N$ ensures that there exists a $T_0>0$, such that

\[ \|KZ^\pm\|_{L^\infty(0,T_0;L^2)}+\nu^\frac {1}{2}\|\nabla_LKZ^\pm\|_{L^2(0,T_0;L^2)}+\left\|\sqrt{-\frac{\dot{M}}{M}}KZ^\pm\right\|_{L^2(0,T_0;L^2)}\leq2\epsilon, \]

and

\[ \left\|u^1_0\mp b^1_0\right\|_{L^\infty (0,T_0;H^N)}+\nu^\frac {1}{2}\left\|\partial_y(u^1_0\mp b^1_0)\right\|_{L^2(0,T_0;H^N)}\leq2\epsilon. \]

Then define $T^* \le \infty$ to be the maximum of all time $T$ such that (3.19) and (3.20) hold on $[0,T]$. By the continuity, $T^* > T_0$.

We are left to prove that the constant 8 on the right of (3.19) and (3.20) can be replaced by 4, which implies that $T^* = \infty$. In fact, we have the following propositon.

Proposition 3.3 Let $\mu =\nu \in (0,1], N>1$. Assume that (3.19) and (3.20) hold on $[0, T^*]$. There exist a universal constant $\alpha _0>0$ and a positive constant $\delta$ depending only on $N$ and $\alpha$, such that if $|\alpha |\ge \alpha _0$ and (3.3) holds, then the same estimates in (3.19) and (3.20) hold with the occurrences of 8 on the right-hand side replaced by 4.

The proof of proposition 3.3 will be achieved in the following two subsections.

3.2 Improvement of (3.19)

Recalling the definition of the multiplier $K$ in (3.10), from (3.2), we derive the following energy identity:

(3.23)\begin{align} & \frac{1}{2}\|KZ^+(t)\|^2_{L^2}+\nu\|\nabla_LKZ^+\|^2_{L^2L^2}\nonumber\\ & \qquad+\left\|\sqrt{-\frac{\dot{M}}{M}}KZ^+\right\|^2_{L^2L^2}+\left\|\sqrt{-\frac{\partial_t(m^{1/2})}{m^{1/2}}}KZ^+\right\|^2_{L^2L^2}\nonumber\\ & \quad=\frac {1}{2}\|KZ^+(0)\|^2_{L^2}-\int_0^t\left\langle SKZ^+, KZ^+\right\rangle {\rm d}t'+\int_0^t\left\langle SO^t_{2\alpha}KZ^-, KZ^+\right\rangle {\rm d}t'\nonumber\\ & \qquad+\int_0^t\left\langle KZ^+, K\left(\partial_tZ^+\right)_\mathcal{NL}\right\rangle {\rm d}t'\nonumber\\ & \quad=\frac {1}{2}\|KZ^+(0)\|^2_{L^2}+\mathrm{LS}+\mathrm{OLS}+\mathcal{NL}. \end{align}

By the definition of $m$, we have

(3.24)\begin{equation} \mathrm{LS}\le\left\|\sqrt{-\frac{\partial_t(m^{1/2})}{m^{1/2}}}KZ^+\right\|^2_{L^2L^2}+\frac{\nu}{2}\|\nabla_LKZ^+\|^2_{L^2L^2}. \end{equation}

Thanks to the fact (2.31), one can estimate $\mathrm {OLS}$ by integrating by parts in time:

(3.25)\begin{equation} \mathrm{OLS}=\sum_{i=1}^5\mathrm{OLS}_i, \end{equation}

where

\begin{align*} \mathrm{OLS}_1& =\frac{1}{2\alpha}\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_\neq(t), KZ^+(t)\right\rangle, \nonumber\\ \mathrm{OLS}_2& ={-}\frac{1}{2\alpha}\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_\neq(0), KZ^+(0)\right\rangle, \nonumber\\ \mathrm{OLS}_3& ={-}\frac{1}{2\alpha}\int_0^t\left\langle \left(S\frac{2\dot{K}}{K}+\dot{S}\right)\partial_X^{{-}1}O^t_{2\alpha}KZ^-_\neq, KZ^+\right\rangle {\rm d}t',\nonumber\\ \mathrm{OLS}_4& ={-}\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_\neq, K\partial_tZ^+\right\rangle {\rm d}t',\nonumber\\ \mathrm{OLS}_5& ={-}\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}K\partial_tZ^-_\neq, KZ^+\right\rangle {\rm d}t'. \end{align*}

Clearly,

(3.26)\begin{align} \mathrm{OLS}_1+\mathrm{OLS}_2\le\frac{1}{2|\alpha|}\left(\|KZ^-_{{\neq}}(t)\|_{L^2}\|KZ^+_{{\neq}}(t)\|_{L^2}+\|KZ^-_{{\neq}}(0)\|_{L^2}\|KZ^+_{{\neq}}(0)\|_{L^2}\right). \end{align}

To bound $\mathrm {OLS}_3$, in Fourier variables, we find that

(3.27)\begin{equation} \frac{\dot{K}}{K}=\frac{\partial_t(m^{1/2})}{m^{1/2}}+\frac{\dot{M}}{M}=\frac {1}{2}\frac{\dot{m}}{m}+\frac{\dot{M}}{M}. \end{equation}

On the support of $\dot {m}$, there holds

(3.28)\begin{equation} \frac{\dot{m}}{m}=\frac{2k(\eta-kt)}{k^2+(\eta-kt)^2}=2S(t, k, \eta). \end{equation}

Thus,

(3.29)\begin{equation} \left|\frac{\partial_t(m^{1/2})}{m^{1/2}}\right|+|S|\le\frac{|k(\eta-kt)|}{k^2+(\eta-kt)^2}\le\min\left\{\frac {1}{2}, \sqrt{-\frac{\dot{M}_1}{M_1}}\right\}. \end{equation}

Moreover,

(3.30)\begin{equation} |\dot{S}|\le\frac{k^2}{k^2+(\eta-kt)^2}={-}\frac{\dot{M}_1}{M_1}\le-\frac{\dot{M}}{M}. \end{equation}

It follows that

(3.31)\begin{equation} \mathrm{OLS}_3\le\frac{2}{\left|\alpha\right|}\left\|\sqrt{-\frac{\dot{M}}{M}}KZ^-_{{\neq}}\right\|_{L^2L^2}\left\|\sqrt{-\frac{\dot{M}}{M}}KZ^+\right\|_{L^2L^2}. \end{equation}

As for $\mathrm {OLS}_4$, in view of (3.2), we have

(3.32)\begin{equation} \mathrm{OLS}_4=\sum_{i=1}^4\mathrm{OLS}_4^{(i)}, \end{equation}

with

\begin{align*} \mathrm{OLS}_4^{(1)}& ={-}\frac{\nu}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_{{\neq}}, K\Delta_L Z^+\right\rangle {\rm d}t',\\ \mathrm{OLS}_4^{(2)}& =\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_{{\neq}}, KSZ^+\right\rangle {\rm d}t',\\ \mathrm{OLS}_4^{(3)}& ={-}\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_{{\neq}}, KO^t_{2\alpha}Z^{-}_{{\neq}}\right\rangle {\rm d}t',\\ \mathrm{OLS}_4^{(4)}& ={-}\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_{{\neq}}, K\left(\partial_tZ^+\right)_{\mathcal{NL}}\right\rangle {\rm d}t'. \end{align*}

Integrating by parts, and using the fact $|S|\le \frac {1}{2}$, we have

\begin{align*} \mathrm{OLS}_4^{(1)}& =\frac{\nu}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}\nabla_LKZ^-_{{\neq}}, \nabla_L KZ^+\right\rangle {\rm d}t'\nonumber\\ & \le\frac{\nu}{4\left|\alpha\right|}\|\nabla_LKZ^-_{{\neq}}\|_{L^2L^2}\|\nabla_LKZ^+_{{\neq}}\|_{L^2L^2}. \end{align*}

Thanks to the fact $|S|\le \sqrt {-\frac {\dot {M}_1}{M_1}}$, one deduces that

\[ \mathrm{OLS}_4^{(2)}\le\frac{1}{2\left|\alpha\right|}\left\|\sqrt{-\frac{\dot{M}}{M}}KZ_{\ne}^+\right\|_{L^2L^2}\left\|\sqrt{-\frac{\dot{M}}{M}}KZ_{\ne}^-\right\|_{L^2L^2}. \]

Owing to the periodicity in $X$ variable, we find that

(3.33)\begin{equation} \mathrm{OLS}_4^{(3)}={-}\frac{1}{4\alpha}\int_0^t\int_{\mathbb{T}\times\mathbb{R}} \partial_X\left(S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_\neq\right)^2 dXdYdt'=0.\end{equation}

To bound $\mathrm {OLS}_4^{(4)}$, by (3.2), we get

(3.34)\begin{align} \mathrm{OLS}_4^{(4)}& =\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_{{\neq}}, K\left(\nabla^\bot_L\Delta^{{-}1}_{L}O^t_{2\alpha}Z^-{\cdot}\nabla_LZ^+\right)\right\rangle {\rm d}t'\nonumber\\ & \quad-\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_{{\neq}}, K\left(SO^t_{2\alpha}Z^{-}(2\partial_{XX}\Delta^{{-}1}_LZ^+{-}Z^+)\right)\right\rangle {\rm d}t'\nonumber\\ & \quad+\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_{{\neq}}, K\left(SZ^+(2\partial_{XX}\Delta^{{-}1}_LO^t_{2\alpha}Z^{-}-O^t_{2\alpha}Z^{-})\right)\right\rangle {\rm d}t'\nonumber\\ & =\mathcal{NLT}+\mathcal{NLS}1+\mathcal{NLS}2, \end{align}

with

\begin{align*} \mathcal{NLT}& =\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_\neq, K\left(\nabla^\bot_L\Delta^{{-}1}_{L}O^t_{2\alpha}Z^-_\neq{\cdot}\nabla_LZ^+_\neq\right)\right\rangle {\rm d}t'\nonumber\\ & \quad+\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_\neq, K\left(\nabla^\bot_L\Delta^{{-}1}_{L}O^t_{2\alpha}Z^-_0\cdot\nabla_LZ^+_\neq\right)\right\rangle {\rm d}t'\nonumber\\ & \quad+\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_\neq, K\left(\nabla^\bot_L\Delta^{{-}1}_{L}O^t_{2\alpha}Z^-_\neq{\cdot}\nabla_LZ^+_0\right)\right\rangle {\rm d}t'\nonumber\\ & \quad=\mathcal{NLT}(\ne,\ne)+\mathcal{NLT}(0,\ne)+\mathcal{NLT}(\ne,0). \end{align*}

By using lemma 3.2, we are led to

(3.35)\begin{align} & \mathcal{NLT}(\ne,\ne)\nonumber\\ & \lesssim\frac{1}{\left|\alpha\right|}\|KZ^-_{{\neq}}\|_{L^\infty L^2}\|\nabla^\bot_L\Delta^{{-}1}_{L}O^t_{2\alpha}Z^-_{{\neq}}\cdot\nabla_LZ^+_{{\neq}}\|_{L^1H^N}\nonumber\\ & \lesssim\frac{1}{\left|\alpha\right|}\|KZ^-_{{\neq}}\|_{L^\infty L^2}\left(\|KZ^-_{{\neq}}\|_{L^2L^2}+\nu^{-\frac {1}{3}}\left\|\sqrt{-\frac{\dot{M}}{M}}KZ^-_{{\neq}}\right\|_{L^2L^2}\right)\|\nabla_LKZ^+_{{\neq}}\|_{L^2L^2}\nonumber\\ & \lesssim\nu^{-\frac 56}\epsilon^3. \end{align}

In view of (3.16), one deduces that

(3.36)\begin{align} \mathcal{NLT}(\ne,0)& =\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_{{\neq}}, K\left(\partial_X\Delta^{{-}1}_{L}O^t_{2\alpha}Z^-_{{\neq}}\partial_YZ^+_0\right)\right\rangle {\rm d}t'\nonumber\\ & \lesssim\frac{1}{\left|\alpha\right|}\|KZ^-_{{\neq}}\|_{L^\infty L^2}\left\|\sqrt{-\frac{\dot{M}}{M}}KZ^-_{{\neq}}\right\|_{L^2L^2}\|\partial_YZ^+_0\|_{L^2H^N}\nonumber\\ & \lesssim\nu^{-\frac {1}{2}}\epsilon^3. \end{align}

Recalling that $z^{\pm }=O^t_{\pm \alpha }w^{\pm }$, we then have $z^\pm _0=w^\pm _0=\omega _0\mp j_0$. Consequently,

\[ \partial_yz^\pm_0=\partial_y\omega_0\mp\partial_yj_0={-}\left(\partial_{yy}u^1_0\mp\partial_{yy}b^1_0\right), \]

and hence

(3.37)\begin{equation} \partial_y\partial_{yy}^{{-}1}z^\pm_0={-}\left(u^1_0\mp b^1_0\right). \end{equation}

Using (3.13), we arrive at

(3.38)\begin{align} \mathcal{NLT}(0,\ne)& ={-}\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}KZ^-_{{\neq}}, K\left(\partial_Y\partial_{YY}^{{-}1}O^t_{2\alpha}Z^-_0\partial_XZ^+_{{\neq}}\right)\right\rangle {\rm d}t'\nonumber\\ & \lesssim\frac{1}{\left|\alpha\right|}\|KZ^-_{{\neq}}\|_{L^2L^2}\|\partial_Y\partial_{YY}^{{-}1}Z^-_0\|_{L^\infty H^N}\|\partial_XZ^+_{{\neq}}\|_{L^2H^N}\nonumber\\ & \lesssim\frac{1}{\left|\alpha\right|}\|KZ^-_{{\neq}}\|_{L^2L^2}\|u^1_0+b^1_0\|_{L^\infty H^N}\|\nabla_LKZ^+_{{\neq}}\|_{L^2L^2}\nonumber\\ & \lesssim\nu^{-\frac 23}\epsilon^3. \end{align}

$\mathcal {NLS}1$ and $\mathcal {NLS}2$ can be treated in the same way, we only estimate $\mathcal {NLS}2$ now. To this end, we infer from (2.22) that

(3.39)\begin{equation} |S|\le\frac{|k(\eta-kt)|}{k^2+(\eta-kt)^2}\le\frac{|k|}{\sqrt{k^2+(\eta-kt)^2}}\lesssim m^{1/2}. \end{equation}

This, together with (2.21) and the obvious fact $|\partial _{XX}\Delta _L^{-1}|\le 1$, implies that

(3.40)\begin{align} \mathcal{NLS}2& \lesssim\frac{1}{\left|\alpha\right|}\|KZ^-_{{\neq}}\|_{L^\infty L^2}\|SZ^+(2\partial_{XX}\Delta^{{-}1}_LO^t_{2\alpha}Z^{-}-O^t_{2\alpha}Z^{-})\|_{L^1H^N}\nonumber\\ & \lesssim\frac{1}{\left|\alpha\right|}\|KZ^-_{{\neq}}\|_{L^2 L^2}\|m^{1/2}Z^+\|_{L^2H^N}\left(\nu^{-\frac {1}{3}}\|m^{1/2}Z^-\|_{L^\infty H^N}\right)\nonumber\\ & \lesssim\nu^{-\frac 23}\epsilon^3. \end{align}

Note that $\mathrm {OLS}_5$ can be treated in the same manner as $\mathrm {OLS}_4$, and $\mathcal {NL}$ in (3.23) can be treated in the same way as $\mathrm {OLS}_4^{(4)}$. On the other hand, one can obtain an energy identity for $KZ^-$ similar to (3.23), and estimate the corresponding right hand side terms analogously. Putting the energy estimates for $KZ^+$ and $KZ^-$ together, we find that for sufficiently large $|\alpha |$, $\mathrm {LS}$, $\mathrm {OLS}_1$, $\mathrm {OLS}_3$, $\mathrm {OLS}_4^{(1)}$, $\mathrm {OLS}_4^{(2)}$ can be obsorbed by the left hand. In conclusion, there exist a universal constant $\alpha _0>0$, and a positive constant $C$ depending only on $N$ and $\alpha$, such that if $\left |\alpha \right | > \alpha _0$, we have

(3.41)\begin{align} \|KZ^\pm(t)\|^2_{L^2}\,{+}\,\nu\|\nabla_LKZ^\pm\|^2_{L^2L^2}\,{+}\,\left\|\sqrt{-\frac{\dot{M}}{M}}KZ^\pm\right\|^2_{L^2L^2}\le2\|KZ^\pm(0)\|^2_{L^2}+C\nu^{-\frac 56}\epsilon^3, \end{align}

which suffices to improve (3.19) as long as $\epsilon \ll \nu ^\frac 56$.

3.3 Improvement of (3.20)

Since $u^2_0=b^2_0=0$, we derive from (1.2) for $\bar {U}(t,y)=U(y)=y$ that $(u^1_0, b^1_0)$ solves

\[ \begin{cases} \partial_tu^1_0-\nu\partial_{yy}u^1_0={-}\left(u\cdot\nabla u^1-b\cdot\nabla b^1\right)_0,\\ \partial_tb^1_0-\nu\partial_{yy}b^1_0={-}\left(u\cdot\nabla b^1-b\cdot\nabla u^1\right)_0. \end{cases} \]

Accordingly, in the coordinate system (3.1), we have

(3.42)\begin{equation} \partial_t\left(U^1_0\mp B^1_0\right)-\nu\partial_{YY}\left(U^1_0\mp B^1_0\right)={-}\left((U_\neq{\pm} B_\neq)\cdot\nabla_L (U^1_\neq{\mp} B^1_\neq)\right)_0. \end{equation}

Then

(3.43)\begin{align} & \frac {1}{2}\left\|(U^1_0\mp B^1_0)(t)\right\|_{H^N}^2+\nu\|\partial_Y(U^1_0\mp B^1_0)\|^2_{L^2H^N}\nonumber\\ & \quad =\frac {1}{2}\left\|(U^1_0\mp B^1_0)(0)\right\|_{H^N}^2\nonumber\\& \qquad -\int_0^t\left\langle U^1_0\mp B^1_0, \left((U_\neq{\pm} B_\neq)\cdot\nabla_L (U^1_\neq{\mp} B^1_\neq)\right)_0\right\rangle_{H^N}{\rm d}t'. \end{align}

Thanks to the divergence free condition, we have

(3.44)\begin{align} & -\int_0^t\left\langle U^1_0\mp B^1_0, \left((U_\neq{\pm} B_\neq)\cdot\nabla_L (U^1_\neq{\mp} B^1_\neq)\right)_0\right\rangle_{H^N}{\rm d}t'\nonumber\\ & \quad=\int_0^t\left\langle \partial_Y(U^1_0\mp B^1_0), \left((U_\neq^2\pm B_\neq^2) (U^1_\neq{\mp} B^1_\neq)\right)_0\right\rangle_{H^N}{\rm d}t'\nonumber\\ & \quad\lesssim\left\|\partial_Y(U^1_0\mp B^1_0)\right\|_{L^2H^N}\left\|U_\neq^2\pm B_\neq^2\right\|_{L^2H^N}\left\|U^1_\neq{\mp} B^1_\neq\right\|_{L^\infty H^N}. \end{align}

Note that

\[ u_\neq^2\pm b_\neq^2=\partial_x\Delta^{{-}1}(\omega\pm j)=\partial_x\Delta^{{-}1}w^\mp{=}\partial_x\Delta^{{-}1}O^t_\alpha z^\mp, \]

and

\[ u^1_\neq{\mp} b^1_\neq{=}{-}\partial_y\Delta^{{-}1}(\omega_\ne\mp j_\ne)={-}\partial_y\Delta^{{-}1}w^\pm_\ne={-}\partial_y\Delta^{{-}1}O ^t_{-\alpha}z^\pm_\ne. \]

Then in view of (3.14) and (3.16), we find that

(3.45)\begin{equation} \left\|U_\neq^2\pm B_\neq^2\right\|_{L^2H^N}= \left\|\partial_X\Delta_L^{{-}1}O^t_\alpha Z^\mp \right\|_{L^2H^N}\lesssim\left\|\sqrt{-\frac{\dot{M}}{M}}KZ^\mp\right\|_{L^2L^2}, \end{equation}

and

(3.46)\begin{equation} \|U^1_\neq{\mp} B^1_\neq\|_{L^\infty H^N}= \left\|\partial_Y^L\Delta^{{-}1}_LO^t_{-\alpha}Z^\pm_\ne\right\|_{L^\infty H^N}\lesssim\left\|KZ^\pm_\ne\right\|_{L^\infty L^2}. \end{equation}

Substituting (3.44)(3.46) into (3.43), noting that the coordinate system (3.1) is the same as the original system in $y$ variable, and using the hypotheses (3.19) and (3.20), we are led to

(3.47)\begin{align} & \frac {1}{2}\left\|(u^1_0\mp b^1_0)(t)\right\|_{H^N}^2+\nu\left\|\partial_y(u^1_0\mp b^1_0)\right\|^2_{L^2H^N}\nonumber\\ & \quad\le\frac {1}{2}\left\|(u^1_0\mp b^1_0)(0)\right\|_{H^N}^2+C\left\|\partial_y(u^1_0\mp b^1_0)\right\|_{L^2H^N}\left\|\sqrt{-\frac{\dot{M}}{M}}KZ^-_{{\neq}}\right\|_{L^2L^2}\left\|KZ^+_{{\neq}}\right\|_{L^\infty L^2}\nonumber\\ & \quad\le\frac {1}{2}\|(u^1_0\mp b^1_0)(0)\|_{H^N}^2+C\nu^{-\frac {1}{2}}\epsilon^3, \end{align}

which is sufficient to improve (3.20) provided $\epsilon \ll \nu ^{\frac {1}{2}}$. Combining (3.41) with (3.47), we complete the proof of proposition 3.3 and hence of theorem 3.1.

4. Stability of the shear flow close to Couette

In this section, we study the stability of the shear flow $(\bar {U}(t,y),0)^\top =(e^{\nu t \partial {yy}}U(y),0)^\top$, with $U(y)$ satisfying

(4.1)\begin{equation} \|U(y)-y\|_{ H^{N+6}}\le\delta. \end{equation}

The multiplier that will be used in this section is given by

(4.2)\begin{equation} \tilde K := \left\langle \nabla\right\rangle ^N \tilde m^{1/2}M, \end{equation}

where $\tilde m$ and $M$ are given in (2.23) and (3.10), respectively. To simplify the presentation, let us denote

\[ |S|_d=:\left|\partial_{XY}^{L}\Delta_L^{{-}1}\right|_d=\left|\partial_{XY}^{L}\Delta_L^{{-}1}\right|{\bf 1}_{D_{dam}}, \text{ with symbol } \frac{|k(\eta-kt)|}{k^2+(\eta-kt)^2}{\bf 1}_{D_{dam}}(t, k, \eta). \]

The aim of this section is to establish the following theorem.

Theorem 4.1 Let $N>1$. Assume that the shear flow $( U(y),0)$ satisfies (4.1), and $\|(\omega _{\mathrm {in}},j_{\mathrm {in}})\|_{H^N}+\|({u}_{\mathrm {in}}, {b}_{\mathrm {in}})\|_{H^N}=\epsilon \le \delta \nu ^{\frac 56+\tilde \delta }$. Then there exist two positive constants $\alpha _0$ and $\delta _0$ independent of $\nu$, such that for all $|\alpha |\ge \alpha _0$ and $\delta \le \delta _0$, the solution to (1.2) and the profile $Z^\pm$ satisfy the global in time estimates

(4.3)\begin{align} & \left\| Z^\pm\right\| _{L^\infty H^N}+\nu^{\frac {1}{2}}\left\|\nabla_LZ^\pm \right\| _{L^2H^N}\lesssim \nu^{-(\frac {1}{3}+\frac{\tilde\delta}{2})}\epsilon, \end{align}
(4.4)\begin{align} & \left\|{U}^1_0\mp {B}^1_0\right\|_{L^\infty H^N}+\nu^\frac {1}{2}\left\|\partial_y ({U}^1_0\mp {B}^1_0)\right\|_{L^2H^N}\lesssim \epsilon, \end{align}

and

(4.5)\begin{equation} \left\| Z^\pm_{{\neq}}\right\| _{L^2H^N}\lesssim \nu^{-\frac {1}{2}-\frac{\tilde\delta}{2}}\epsilon. \end{equation}

Similar to lemma 3.2, we give the following lemma to treat the non-zero frequency interactions of the nonlinear term.

Lemma 4.2 Let $N>1$. Assume that (4.1) holds with $\delta$ sufficiently small. Then for all $f\in L^2H^N$ and $g$ such that $\nabla _Lg\in L^2H^N$, there holds

\begin{align*} & \|\nabla^\bot_t\Delta^{{-}1}_tf_{{\neq}}\cdot \nabla_tg_{{\neq}}\|_{L^1H^N}\nonumber\\ & \quad \le \frac{C\nu^{-\tilde\delta}}{1-C\delta}\left(\|\tilde Kf_{{\neq}}\|_{L^2L^2}+\nu^{-\frac {1}{3}}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde Kf_{{\neq}}\right\|_{L^2L^2}\right)\left\|\nabla_L\tilde K g_{{\neq}}\right\|_{L^2L^2}. \end{align*}

Proof. In view of (2.25) and (2.26), there hold

(4.6)\begin{align} & |k|\lesssim\nu^{-\tilde\delta/2}\sqrt{k^2+(\eta-kt)^2}\tilde m^{1/2},\quad\mathrm{i.e.}\quad |\partial_X|\lesssim \nu^{-\tilde\delta/2}|\nabla_L|\tilde m^{1/2}, \end{align}
(4.7)\begin{align} & |\partial_Y^L\Delta^{{-}1}_L|\le\frac{|\eta-kt|}{k^2+(\eta-kt)^2}\le\frac{1}{\sqrt{k^2+(\eta-kt)^2}}\lesssim \nu^{-\tilde\delta/2}\tilde m^{1/2}, \quad\mathrm{for}\quad k\neq0, \end{align}
(4.8)\begin{align} & |\partial_X\Delta^{{-}1}_L|\le\frac{|k|}{k^2+(\eta-kt)^2}\le\nu^{-\tilde\delta/2}\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde m^{1/2}, \end{align}

and

(4.9)\begin{equation} |\partial_Y^L|\lesssim\nu^{-(\frac {1}{3}+\frac{\tilde\delta}{2})}\tilde m^{1/2}|\nabla_L|.\end{equation}

Note that the condition (4.1) ensures that (A.3) holds. This, together with the commutator estimates (B.1), (B.9), enables us to use lemma C.1 and the fact

\[ \nabla^\bot_t\Delta^{{-}1}_tf_{{\neq}}\cdot \nabla_tg_{{\neq}}={-}a\partial_Y^L\Delta_L^{{-}1}\Lambda f_{{\neq}}\partial_Xg_{{\neq}}+a\partial_X\Delta_L^{{-}1}\Lambda f_{{\neq}}\partial_Y^Lg_{{\neq}}, \]

to obtain

\begin{align*} & \|\nabla^\bot_t\Delta^{{-}1}_tf_{{\neq}}\cdot \nabla_tg_{{\neq}}\|_{L^1H^N}\nonumber\\ & \quad\le\|a\partial_Y^L\Delta_L^{{-}1}\Lambda f_{{\neq}}\partial_Xg_{{\neq}}\|_{L^1H^N}+\|a\partial_X\Delta_L^{{-}1}\Lambda f_{{\neq}}\partial_Y^Lg_{{\neq}}\|_{L^1H^N}\nonumber\\ & \quad\le C\nu^{-\tilde\delta}\left(1\,{+}\,\|a\,{-}\,1\|_{L^\infty H^N}\right)\left(\!\|\tilde m^{1/2}\Lambda f_{{\neq}}\|_{L^2H^N}\,{+}\,\nu^{-\frac {1}{3}}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde m^{1/2}\Lambda f_{{\neq}}\right\|_{L^2H^N}\right)\nonumber\\ & \qquad\times\|\nabla_L\tilde m^{1/2}g_{{\neq}}\|_{L^2H^N}\nonumber\\ & \quad\le \frac{C\nu^{-\tilde\delta}}{1-C\delta}\left(\|\tilde m^{1/2}f_{{\neq}}\|_{L^2H^N}+\nu^{-\frac {1}{3}}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde m^{1/2}f_{{\neq}}\right\|_{L^2H^N}\right)\|\nabla_L\tilde m^{1/2}g_{{\neq}}\|_{L^2H^N}. \end{align*}

Then (4.2) follows immediately.

4.1 Proof of theorem 4.1

The proof of theorem 4.1 is similar to that of theorem 3.1. By the definition of $M_2$, (3.22) still holds with $K$ replaced by $\tilde K$, it suffices to establish the following a priori estimates:

(4.10)\begin{equation} \|\tilde KZ^\pm\|_{L^\infty L^2}+\nu^\frac {1}{2}\|\nabla_L \tilde KZ^\pm\|_{L^2L^2}+\left\|\sqrt{-\frac{\dot{M}}{M}}\tilde KZ^\pm\right\|_{L^2L^2}\le8\epsilon, \end{equation}

and

(4.11)\begin{equation} \left\|{U}^1_0\mp {B}^1_0\right\|_{L^\infty H^N}+\nu^\frac {1}{2}\left\|\partial_y({U}^1_0\mp {B}^1_0)\right\|_{L^2H^N}\le8\epsilon. \end{equation}

Let us define $T^*$ to be the end point of the largest interval $[0,T]$ such that (4.10) and (4.11) hold for all $0\leq t\leq T$. We are left to establish the following proposition.

Proposition 4.3 Assume that the conditions in theorem 4.1 hold, and that (4.10) and (4.11) hold on $[0, T^*]$. Then there exist two positive constants $\alpha _0$ and $\delta _0$ independent of $\nu$, such that for all $|\alpha |\ge \alpha _0$ and $\delta \le \delta _0$, the same estimates in (4.10) and (4.11) hold with the occurrences of 8 on the right-hand side replaced by 4.

Proof. We first improve (4.10). Similar to (3.23), from (2.16) and the definition of $\tilde K$ in (4.2), we have the following energy identity:

(4.12)\begin{align} & \frac {1}{2}\|\tilde KZ^+(t)\|^2_{L^2}+\nu\|\nabla_L\tilde KZ^+\|^2_{L^2L^2}+\left\|\sqrt{-\frac{\dot{M}}{M}}\tilde KZ^+\right\|^2_{L^2L^2}\nonumber\\ & \qquad+\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+\right\|^2_{L^2L^2}\nonumber\\ & \quad=\frac {1}{2}\|\tilde KZ^+(0)\|^2_{L^2}-\int_0^t\left\langle \tilde KS\Lambda Z^+, \tilde KZ^+\right\rangle {\rm d}t'+\int_0^t\left\langle \tilde KO^t_{2\alpha}S\Lambda Z^-, \tilde KZ^+\right\rangle {\rm d}t'\nonumber\\ & \qquad+\int_0^t \left\langle \tilde KZ^+, \tilde K\mathrm{LP}^+\right\rangle {\rm d}t'+\int_0^t\left\langle \tilde KZ^+, \tilde K\mathrm{NL}^+\right\rangle {\rm d}t'\nonumber\\ & \quad=\frac {1}{2}\|\tilde KZ^+(0)\|^2_{L^2}+\mathrm{LS}+\mathrm{OLS}+\mathcal{LP}+\mathcal{NL}. \end{align}

The improvement of (4.10) will be achieved by the following four steps.

Step I: estimates of $\mathrm {LS}$. We first split $\mathrm {LS}$ into two parts:

(4.13)\begin{align} \mathrm{LS}& ={-}\frac{1}{4\pi^2}\sum_{k\neq0}\iint\tilde K(k,\eta) \frac{k(\eta-kt)}{k^2+(\eta-kt)^2}\left({\bf 1}_{D_{dam}}(t, k,\eta)+{\bf 1}_{D_{dam}^c}(t, k,\eta)\right)\nonumber\\ & \quad\times\widehat{\Lambda Z^+_{{\neq}}}(k, \eta) \tilde K(k,\eta)\bar{\hat{Z}}^+_{{\neq}}(k,\eta) d\eta {\rm d}t\nonumber\\ & =\mathrm{LS}^{dam}+\mathrm{LS}^{*}. \end{align}

Thanks to (2.13), one can split $\mathrm {LS}^{dam}$ into two parts

\begin{align*} \mathrm{LS}^{dam}& ={-}\left\| \sqrt{\left|S\right|_d}\tilde K Z_{{\neq}}^+\right\|^2_{L^2L^2}\nonumber\\ & \quad-\frac{1}{4\pi^2}\sum_{k\neq0}\iint \tilde K(k,\eta) \frac{|k(\eta-kt)|}{k^2+(\eta-kt)^2}{\bf 1}_{D_{dam}}\nonumber\\ & \quad\times \widehat{\tilde \Lambda \Lambda Z_{{\neq}}^+}(k, \eta)\tilde K(k,\eta)\bar{\hat{Z}}^+_{{\neq}}(k,\eta) d\eta {\rm d}t\nonumber\\ & =:\mathrm{LS}^{dam}_1+\mathrm{LS}_{2}^{dam}. \end{align*}

By the definition of $\tilde \Lambda$ in (2.10), there holds

\begin{align*} & \left|\widehat{\tilde\Lambda\Lambda Z_{{\neq}}^+}\right|(k,\eta)\nonumber\\ & \quad\le\int_\xi\left(|\widehat{a^2-1}|(\eta-\xi)\frac{(\xi-kt)^2}{k^2+(\xi-kt)^2}+|\hat{b}|(\eta-\xi)\frac{|\xi-kt|}{k^2+(\xi-kt)^2}\right)|\widehat{\Lambda Z_{{\neq}}^+}|(k,\xi)d\xi\nonumber\\ & \quad\le\int_\xi\left(|\widehat{a^2-1}|(\eta-\xi)+|\hat{b}|(\eta-\xi)\right)|\widehat{\Lambda Z_{{\neq}}^+}|(k,\xi)d\xi. \end{align*}

Combining this with (B.8), (B.11), and (A.3) yields

(4.14)\begin{align} & \mathrm{LS}_{2}^{dam}\nonumber\\ & \quad\le C\sum_{k\ne0}\iiint\langle\eta-\xi\rangle^{N+(1+\frac {3}{2}\tilde\delta)+\frac {3}{2}}\left(|\widehat{a^2-1}|(\eta-\xi)+|\hat{b}|(\eta-\xi)\right)|\widehat{\tilde K\Lambda Z^+_{{\neq}}}|(k,\xi)\nonumber\\ & \qquad\times\left(\sqrt{\frac{|k(\xi-kt)|}{k^2+(\xi-kt)^2}}+\sqrt{\frac{|k|}{k^2+(\xi-kt)^2}}\right)\nonumber\\ & \qquad\times \sqrt{\frac{k(\eta-kt)}{k^2+(\eta-kt)^2}}{\bf 1}_{D_{dam}}|\widehat{\tilde KZ^+_{{\neq}}}|(k,\eta)d\xi d\eta {\rm d}t\nonumber\\ & \quad\le C\delta\left(\left\|\sqrt{\left|S\right|_d}\tilde K \Lambda Z^+_{{\neq}}\right\|_{L^2L^2}+\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde K \Lambda Z^+_{{\neq}}\right\|_{L^2L^2}\right)\left\|\sqrt{\left|S\right|_d}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}. \end{align}

Using (B.8), (B.9), (B.11), lemma C.1 and (2.29), we find that

(4.15)\begin{align} & \left\|\sqrt{\left|S\right|}\tilde K \Lambda Z^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \quad\le\frac{1}{1-C\delta}\left\|\sqrt{\left|S\right|}\tilde K Z^+_{{\neq}}\right\|_{L^2L^2}+\frac{C\delta}{1-C\delta}\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde K \Lambda Z^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \quad\le\frac{1}{1-C\delta}\left(\left\|\sqrt{\left|S\right|_d}\tilde K Z^+_{{\neq}}\right\|_{L^2L^2}+\sqrt{\frac{1}{1000^3}}\nu^\frac {1}{2}\left\|\nabla_L\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\right.\nonumber\\ & \qquad\left.+\frac{1}{\sqrt{1+\frac {3}{2}\tilde\delta}}\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\right)+\frac{C\delta}{(1-C\delta)^2}\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde K Z^+_{{\neq}}\right\|_{L^2L^2}, \end{align}

where $|S|$ denotes the multiplier with symbol $\frac {|k(\eta -kt)|}{k^2+(\eta -kt)^2}$. Substituting this into (4.14), and using (B.8), (B.9) and lemma C.1 again to bound the second term on the right hand side of (4.14), one deduces that

(4.16)\begin{align} \mathrm{LS}_{2}^{dam} & \le C\delta\Bigg\{\frac{1}{1-C\delta}\Bigg(\left\|\sqrt{\left|S\right|_d}\tilde K Z^+_{{\neq}}\right\|_{L^2L^2}+\sqrt{\frac{1}{1000^3}}\nu^\frac {1}{2}\left\|\nabla_L\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \quad+\frac{1}{\sqrt{1+\frac {3}{2}\tilde\delta}}\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\Bigg)+\frac{C\delta}{(1-C\delta)^2}\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde K Z^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \quad+\frac{1}{1-C\delta}\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde K Z^+_{{\neq}}\right\|_{L^2L^2}\Bigg\}\left\|\sqrt{\left|S\right|_d}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \le \left(\frac{2C\delta}{1-C\delta}+\frac{C\delta}{2(1-C\delta)^2}\right)\left\|\sqrt{\left|S\right|_d}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}^2\nonumber\\ & \quad+\frac{C\delta}{2(1-C\delta)}\left(\vphantom{\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+_{{\neq}}\right\|^2_{L^2L^2}}\frac{1}{1000^3}\nu\left\|\nabla_L\tilde KZ^+_{{\neq}}\right\|^2_{L^2L^2}\right.\nonumber\\ & \left.\quad +\,\frac{1}{{1+\frac {3}{2}\tilde\delta}}\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+_{{\neq}}\right\|^2_{L^2L^2}\right)\nonumber\\ & \quad+\frac{C\delta}{2(1-C\delta)^2}\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|^2_{L^2L^2}. \end{align}

Next we turn to bound $\mathrm {LS}^*$. From (2.27) and (2.28), we infer that

(4.17)\begin{align} \mathrm{LS}^*& \le\frac{1}{4\pi^2}\sum_{k\neq0}\iint \tilde K(k,\eta) \frac{|k(\eta-kt)|}{k^2+(\eta-kt)^2}{\bf 1}_{D_{dam}^c}|\widehat{\Lambda Z^+_{{\neq}}}|(k, \eta)\tilde K(k,\eta)|\hat{Z}^+_{{\neq}}|(k,\eta) d\eta {\rm d}t\nonumber\\ & \le \frac{\nu}{1000^3}\sum_{k\neq0}\iint \tilde K(k,\eta) \left(k^2+(\eta-kt)^2\right)|\widehat{\Lambda Z^+_{{\neq}}}|(k, \eta)\tilde K(k,\eta)|\hat{Z}^+_{{\neq}}|(k,\eta) d\eta {\rm d}t\nonumber\\ & \quad+\frac{1}{1\,{+}\,\frac {3}{2}\tilde\delta}\sum_{k\neq0}\iint\tilde K(k,\eta) \frac{-\partial_t(\tilde m^{1/2})(t, k, \eta)}{\tilde m^{1/2}(t, k, \eta)}|\widehat{\Lambda Z^+_{{\neq}}}|(k, \eta) \tilde K(k,\eta)|\hat{Z}^+_{{\neq}}|(k,\eta) d\eta {\rm d}t\nonumber\\ & \le\frac{\nu}{1000^3}\|\nabla_L\tilde K\Lambda Z^+_{{\neq}}\|_{L^2L^2}\|\nabla_L\tilde KZ^+_{{\neq}}\|_{L^2L^2}\nonumber\\ & \quad+\frac{1}{1+\frac {3}{2}\tilde\delta}\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde K\Lambda Z^+_{{\neq}}\right\|_{L^2L^2}\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}. \end{align}

By virtue of (B.8) and lemma C.1, we have

(4.18)\begin{equation} \|\nabla_L\tilde K\Lambda Z^+_{{\neq}}\|_{L^2L^2}\le\frac{1}{1-C\delta}\|\nabla_L\tilde KZ^+_{{\neq}}\|_{L^2L^2}. \end{equation}

Now we are left to bound $\left \|\sqrt {-\frac {\partial _t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde K\Lambda Z^+_{\neq }\right \|_{L^2L^2}$. In fact, thanks to (B.8), (B.10), and lemma C.1, we are led to

(4.19)\begin{align} & \left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde K\Lambda Z^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \quad\leq\frac{1}{1-{C}\delta}\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}+\sqrt{\frac{1+\frac {3}{2}\tilde\delta}{1000^3}}\frac{C\delta}{(1-{C}\delta)^2}\nu^\frac {1}{2}\left\|\nabla_L\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \quad+\frac{C\delta\sqrt{1+\frac {3}{2}\tilde\delta}}{(1-{C}\delta)^2}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}+\frac{C\delta\sqrt{1+\frac {3}{2}\tilde\delta}}{1-{C}\delta}\left\|\sqrt{\left|S\right|}\tilde K\Lambda Z^+_{{\neq}}\right\|_{L^2L^2}, \end{align}

where we have used (4.18) to bound $\|\nabla _L\tilde K\Lambda Z^+_{\neq }\|_{L^2L^2}$, and used (B.8), (B.9) and lemma C.1 to bound $\left \|\sqrt {-\frac {\dot {M}_1}{M_1}}\tilde K\Lambda Z^+_{\neq }\right \|_{L^2L^2}$, respectively. It follows from (4.15) and (4.19) that

(4.20)\begin{align} & \left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde K\Lambda Z^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \quad\le \frac{1}{(1-C\delta)^2}\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \qquad+\sqrt{\frac{1+\frac {3}{2}\tilde\delta}{1000^3}}\frac{2{C}\delta}{(1-{C}\delta)^2}\nu^\frac {1}{2}\left\|\nabla_L\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \qquad+\frac{C\delta\sqrt{1+\frac {3}{2}\tilde\delta}}{(1-{C}\delta)^2}\left\|\sqrt{\left|S\right|_d}\tilde K Z^+_{{\neq}}\right\|_{L^2L^2}+\frac{C\delta\sqrt{1+\frac {3}{2}\tilde\delta}}{(1-{C}\delta)^3}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}. \end{align}

Substituting (4.18) and (4.20) into (4.17), and using Cauchy–Schwarz inequality, we arrive at

\begin{align*} \mathrm{LS}^* & \le\frac{1}{1\,{-}\,C\delta}\frac{1}{1000^3}\nu\|\nabla_L\tilde KZ^+_{{\neq}}\|^2_{L^2L^2}+\frac{1}{1+\frac {3}{2}\tilde\delta}\frac{1}{(1\,{-}\,{C}\delta)^2}\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+_{{\neq}}\right\|^2_{L^2L^2}\nonumber\\ & \quad+\frac{1}{1\,{+}\,\frac {3}{2}\tilde\delta}\frac{{C}\delta}{(1\,{-}\,{C}\delta)^2}\left({\frac{1+\frac {3}{2}\tilde\delta}{1000^3}}\nu\left\|\nabla_L\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}^2+\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+_{{\neq}}\right\|^2_{L^2L^2}\right)\nonumber\\ & \quad+\frac {1}{2}\frac{1}{1+\frac {3}{2}\tilde\delta}\frac{{C}\delta}{(1-{C}\delta)^2}\left(\vphantom{\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}^2}\left(1+\frac {3}{2}\tilde\delta\right)\left\|\sqrt{\left|S\right|_d}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}^2\right.\nonumber\\ & \left.\quad+\,\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}^2\right)\nonumber\\ & \quad+\frac {1}{2}\frac{1}{1+\frac {3}{2}\tilde\delta}\frac{{C}\delta}{(1-{C}\delta)^3}\left(\left(1+\frac {3}{2}\tilde\delta\right)\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}^2\right.\nonumber\\ & \left.\quad+\,\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}^2\vphantom{\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}^2}\right)\nonumber\\ & =\frac{C_\delta}{1+\frac {3}{2}\tilde\delta}\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^+_{{\neq}}\right\|^2_{L^2L^2}+\frac{1}{(1-{C}\delta)^2}\frac{1}{1000^3}\nu\|\nabla_L\tilde KZ^+_{{\neq}}\|^2_{L^2L^2}\nonumber\\ & \quad+\frac{{C}\delta}{2(1-{C}\delta)^2}\left\|\sqrt{\left|S\right|_d}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}^2+\frac{{C}\delta}{2(1-{C}\delta)^3}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}^2, \end{align*}

where

(4.21)\begin{equation} C_\delta:=\frac{1}{(1-{C}\delta)^2}+\frac{3{C}\delta}{2(1-{C}\delta)^2}+\frac{{C}\delta}{2(1-{C}\delta)^3},\end{equation}

which is increasing in $\delta \in (0, \frac {1}{3C}]$, and $C_\delta \rightarrow 1$ as $\delta \rightarrow 0+$.

Step II: estimates of $\mathrm {OLS}$. Similar to (3.25), we write

(4.22)\begin{equation} \mathrm{OLS}=\sum_{i=1}^5\mathrm{OLS}_i, \end{equation}

where

\begin{align*} \mathrm{OLS}_1 & =\frac{1}{2\alpha}\left\langle \tilde K\partial_X^{{-}1}O^t_{2\alpha}S\Lambda Z^-_{{\neq}}(t), \tilde KZ^+(t)\right\rangle, \nonumber\\ \mathrm{OLS}_2& ={-}\frac{1}{2\alpha}\left\langle \tilde K\partial_X^{{-}1}O^t_{2\alpha}S\Lambda Z^-_{{\neq}}(0), \tilde KZ^+(0)\right\rangle, \nonumber\\ \mathrm{OLS}_3& ={-}\frac{1}{2\alpha}\int_0^t\left\langle \partial_X^{{-}1}O^t_{2\alpha}\left(S\frac{2\dot{\tilde K}}{\tilde K}+\dot{S}\right)\tilde K\Lambda Z^-_{{\neq}}, \tilde KZ^+\right\rangle {\rm d}t',\nonumber\\ \mathrm{OLS}_4& ={-}\frac{1}{2\alpha}\int_0^t\left\langle \tilde KS\partial_X^{{-}1}O^t_{2\alpha}\Lambda Z^-_{{\neq}}, \tilde K\partial_tZ^+\right\rangle {\rm d}t',\nonumber\\ \mathrm{OLS}_5& ={-}\frac{1}{2\alpha}\int_0^t\left\langle \tilde KS\partial_X^{{-}1}O^t_{2\alpha}\partial_t(\Lambda Z^-_{{\neq}}), \tilde KZ^+\right\rangle {\rm d}t'. \end{align*}

We postpone the treatment of the nonlinear terms in $\mathrm {OLS}_4$ and $\mathrm {OLS}_5$ to Step IV, and focus on the linear terms here. The estimates for $\mathrm {OLS}_1$ and $\mathrm {OLS}_2$ are the same as (3.26), and thus omitted. To estimate $\mathrm {OLS}_3$, similar to (3.27)(3.29), we have

\begin{align*} \frac{\dot{\tilde K}}{\tilde K}& =\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}+\frac{\dot{M}}{M}=\frac {1}{2}\frac{\dot{\tilde m}}{\tilde m}+\frac{\dot{M}}{M}, -\frac{\dot{\tilde m}}{\tilde m}\\& =(1+\frac {3}{2}\tilde\delta)\frac{2k(\eta-kt)}{k^2+(\eta-kt)^2}{\bf 1}_{D_{mul}}(t,k,\eta)=2(1+\frac {3}{2}\tilde\delta)S(t, k, \eta){\bf 1}_{D_{mul}}(t,k,\eta), \end{align*}

and

\[ \left|\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}\right|\le(1+\frac {3}{2}\tilde\delta) |S|\le\frac{(1+\frac {3}{2}\tilde\delta)|k(\eta-kt)|}{k^2+(\eta-kt)^2}\le(1+\frac {3}{2}\tilde\delta)\min\left\{\frac {1}{2}, \sqrt{-\frac{\dot{M}_1}{M_1}}\right\}. \]

Combining these calculations with (3.30), and using (B.8), (B.9) and lemma C.1, we are led to

(4.23)\begin{align} \mathrm{OLS}_3& \le\frac{C}{|\alpha|}\left\|\sqrt{-\frac{\dot{M}}{M}}\tilde K\Lambda Z^-_{{\neq}}\right\|_{L^2L^2}\left\|\sqrt{-\frac{\dot{M}}{M}}\tilde KZ^+\right\|_{L^2L^2}\nonumber\\ & \le\frac{C}{|\alpha|}\frac{1}{1-C\delta}\left\|\sqrt{-\frac{\dot{M}}{M}}\tilde KZ^-_{{\neq}}\right\|_{L^2L^2}\left\|\sqrt{-\frac{\dot{M}}{M}}\tilde KZ^+\right\|_{L^2L^2}. \end{align}

To bound $\mathrm {OLS}_4$, by (2.16), we have

(4.24)\begin{equation} \mathrm{OLS}_4=\sum_{i=1}^5\mathrm{OLS}_4^{(i)},\end{equation}

where

\begin{align*} \mathrm{OLS}_4^{(1)}& ={-}\frac{\nu}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}\tilde K\Lambda Z^-_{{\neq}}, \tilde K\Delta_L Z^+\right\rangle {\rm d}t',\\ \mathrm{OLS}_4^{(2)}& =\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}\tilde K\Lambda Z^-_{{\neq}}, \tilde KS\Lambda Z^+\right\rangle {\rm d}t',\\ \mathrm{OLS}_4^{(3)}& ={-}\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}\tilde K\Lambda Z^-_{{\neq}}, \tilde KO^t_{2\alpha}Z^{-}_{{\neq}}\right\rangle {\rm d}t',\\ \mathrm{OLS}_4^{(4)}& ={-}\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}\tilde K\Lambda Z^-_{{\neq}}, \tilde K\mathrm{LP}^+\right\rangle {\rm d}t',\\ \mathrm{OLS}_4^{(5)}& ={-}\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}\tilde K\Lambda Z^-_{{\neq}}, \tilde K\mathrm{NL}^+\right\rangle {\rm d}t'. \end{align*}

Integrating by parts, using the fact $|S|\le \frac{1}{2}$ and (4.18), we have

(4.25)\begin{align} \mathrm{OLS}_4^{(1)}& =\frac{\nu}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}\nabla_L\tilde K\Lambda Z^-_{{\neq}}, \nabla_L \tilde KZ^+\right\rangle {\rm d}t'\nonumber\\ & \le \frac{\nu}{4|\alpha|}\|\nabla_L\tilde K\Lambda Z^-_{{\neq}}\|_{L^2L^2}\|\nabla_L\tilde KZ^+_{{\neq}}\|_{L^2L^2}\nonumber\\ & \le\frac{\nu}{4|\alpha|(1-C\delta)}\|\nabla_L\tilde KZ^-_{{\neq}}\|_{L^2L^2}\|\nabla_L\tilde KZ^+_{{\neq}}\|_{L^2L^2}. \end{align}

Thanks to the fact $|S|\le \sqrt {-\frac {\dot {M}_1}{M_1}}$, one deduces that

(4.26)\begin{align} \mathrm{OLS}_4^{(2)}& \le\frac{1}{2|\alpha|}\left\|\sqrt{-\frac{\dot{M}}{M}}\tilde K\Lambda Z^+\right\|_{L^2L^2}\left\|\sqrt{-\frac{\dot{M}}{M}}\tilde K\Lambda Z^-\right\|_{L^2L^2}\nonumber\\ & \le \frac{1}{|\alpha|(1-C\delta)^2}\left\|\sqrt{-\frac{\dot{M}}{M}}\tilde KZ^+\right\|_{L^2L^2}\left\|\sqrt{-\frac{\dot{M}}{M}}\tilde KZ^-\right\|_{L^2L^2}. \end{align}

Owing to the periodicity in $X$ variable, we find that

(4.27)\begin{equation} \mathrm{OLS}_4^{(3)}=\frac{1}{4\alpha}\int_0^t\int_{\mathbb{T}\times\mathbb{R}} \partial_X\left(S\partial_X^{{-}1}O^t_{2\alpha}\tilde K\Lambda Z^-_{{\neq}}\right)^2 dXdYdt'=0.\end{equation}

By (2.18), we deduce that

(4.28)\begin{equation} \mathrm{OLS}_4^{(4)}=\sum_{i=1}^3\mathrm{OLS}_{4}^{(4,i)},\end{equation}

with

\begin{align*} \mathrm{OLS}_4^{(4,1)}& =\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}\tilde K\Lambda Z^-_{{\neq}}, \tilde K\left((a^2-1)S\Lambda \left(Z^+_{{\neq}}-O^t_{2\alpha}Z^-_{{\neq}}\right)\right)\right\rangle {\rm d}t',\nonumber\\ \mathrm{OLS}_4^{(4,2)}& ={-}\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}\tilde K\Lambda Z^-_{{\neq}}, \tilde K\left(b\partial_X\Delta^{{-}1}_tO^t_{2\alpha}Z^{-}_{{\neq}}\right)\right\rangle {\rm d}t',\nonumber\\ \mathrm{OLS}_4^{(4,3)}& ={-}\frac{\nu}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}\tilde K\Lambda Z^-_{{\neq}}, \tilde K\left((a^2-1)\partial_{YY}^LZ^+_{{\neq}}\right)\right\rangle {\rm d}t'. \end{align*}

Using $|S|\le \sqrt {-\frac {\dot {M}_1}{M_1}}$, (A.3) and lemma C.1, we have

(4.29)\begin{align} \mathrm{OLS}_{4}^{(4,1)}& \le\frac{1}{2|\alpha|}\left\|\tilde KS\Lambda Z^-_{{\neq}}\right\|_{L^2L^2}\left\|\tilde K\left((a^2-1)S\Lambda \left(Z^+_{{\neq}}-O^t_{2\alpha}Z^-_{{\neq}}\right)\right)\right\|_{L^2L^2}\nonumber\\ & \le\frac{C\delta}{|\alpha|}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde K\Lambda Z^-_{{\neq}}\right\|_{L^2L^2}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde K\Lambda \left(Z^+_{{\neq}}-O^t_{2\alpha}Z^-_{{\neq}}\right)\right\|_{L^2L^2}\nonumber\\ & \le\frac{C\delta}{|\alpha|(1-C\delta)^2}\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde KZ^-_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \quad\times\left(\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}+\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde KZ^-_{{\neq}}\right\|_{L^2L^2}\right). \end{align}

Noting that

\[ \partial_X\Delta_t^{{-}1}=\partial_X\Delta_L^{{-}1}\Lambda, \]

and

(4.30)\begin{align} \left|\mathcal{F}\left(b\partial_X\Delta^{{-}1}_tO^t_{2\alpha}Z^{-}_{{\neq}}\right)\right|(t,k, \eta)& \le \int_\xi|\hat{b}|(\eta-\xi)\frac{|k|}{k^2+(\xi-kt)^2}|\widehat{\Lambda {O^t_{2\alpha}}Z^-_{{\neq}}}|(k,\xi)d\xi\nonumber\\ & \le\left(|\hat{b}|*\left(\sqrt{-\frac{\dot{M}_1}{M_1}}|\widehat{\Lambda {O^t_{2\alpha}}Z^-_{{\neq}}}|\right)\right)(t,k, \eta), \end{align}

then we have

(4.31)\begin{align} \mathrm{OLS}_{4}^{(4,2)}& \le\frac{C\delta}{|\alpha|}\left\|\tilde KS\Lambda Z^-_{{\neq}}\right\|_{L^2L^2}\left\|\tilde K\sqrt{-\frac{\dot{M}_1}{M_1}}\Lambda {O^t_{2\alpha}}Z^-_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \le\frac{C\delta}{|\alpha|(1-C\delta)^2}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde KZ^-_{{\neq}}\right\|_{L^2L^2}^2. \end{align}

Integrating by parts and using (2.4), we find that

(4.32)\begin{align} \mathrm{OLS}_{4}^{(4,3)}& =\frac{\nu}{\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}\tilde K\Lambda Z^-_{{\neq}}, \tilde K\left(b\partial_{Y}^LZ^+_{{\neq}}\right)\right\rangle {\rm d}t'\nonumber\\ & \quad+\frac{\nu}{2\alpha}\int_0^t\left\langle \partial_Y^LS\partial_X^{{-}1}O^t_{2\alpha}\tilde K\Lambda Z^-_{{\neq}}, \tilde K\left((a^2-1)\partial_{Y}^LZ^+_{{\neq}}\right)\right\rangle {\rm d}t'\nonumber\\ & \le\frac{C\delta\nu}{|\alpha|(1-C\delta)}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde KZ^-_{{\neq}}\right\|_{L^2L^2}\left\|\partial_Y^L\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \quad+\frac{C\delta\nu}{4|\alpha|}\left\|\partial_Y^L\tilde K\Lambda Z^-_{{\neq}}\right\|_{L^2L^2}\left\|\partial_Y^L\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \le\frac{C\delta\nu}{|\alpha|(1-C\delta)}\left\|\nabla_L\tilde KZ^-_{{\neq}}\right\|_{L^2L^2}\left\|\nabla_L\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}, \end{align}

where we have used (A.3), (A.8) to bound $\left \|\tilde K(b\partial _Y^L)\right \|_{L^2L^2}$ and $\left \|\tilde K((a^2-1)\partial _Y^L)\right \|_{L^2L^2}$. The estimates of $\mathrm {OLS}_{4}^{(5)}$ will be postponed in Step IV.

Now we rewrite $\mathrm {OLS}_5$ as follows:

\begin{align*} \mathrm{OLS}_5& ={-}\frac{1}{2\alpha}\int_0^t\left\langle \tilde KS\partial_X^{{-}1}O^t_{2\alpha}\Lambda \partial_tZ^-_{{\neq}}, \tilde KZ^+_{{\neq}}\right\rangle {\rm d}t'\nonumber\\ & \quad-\frac{1}{2\alpha}\int_0^t\left\langle \tilde KS\partial_X^{{-}1}O^t_{2\alpha}\partial_t\Lambda Z^-_{{\neq}}, \tilde KZ^+_{{\neq}}\right\rangle {\rm d}t'\nonumber\\ & =\mathrm{OLS}_{5,1}+\mathrm{OLS}_{5,2}. \end{align*}

To estimate $\mathrm {OLS}_{5,1}$, instead of using (2.16), up to the nonlinear terms and some linear errors, we write $\partial _tZ^{-}$ in terms of $\nu \Delta _tZ^-$ by virtue of (2.6) and (2.15)

\[ \partial_tZ^- = \nu{\Delta}_t Z^-{-}\nu b\partial_Y^LZ^-{-}a^2S\Lambda \left(Z^-_{{\neq}}-O^t_{{-}2\alpha}Z^+_{{\neq}}\right)+b\partial_X\Delta^{{-}1}_tO^t_{{-}2\alpha}Z^+_{{\neq}}+\mathrm{NL}^-. \]

Then thanks to the relation (2.12), we have

\begin{align*} \Lambda \partial_tZ^-_{{\neq}}& =\nu{\Delta}_L Z^-_{{\neq}}-\nu \Lambda \left(b\partial_Y^LZ^-_{{\neq}}\right) -\Lambda\left(a^2S\Lambda\left(Z^-_{{\neq}}-O^t_{{-}2\alpha}Z^+_{{\neq}}\right)\right)\nonumber\\ & \quad+\Lambda\left(b\partial_X\Delta^{{-}1}_tO^t_{{-}2\alpha}Z^+_{{\neq}}\right)+\Lambda\mathrm{NL}^-_{{\neq}}. \end{align*}

Thus,

(4.33)\begin{equation} \mathrm{OLS}_{5,1}=\sum_{i=1}^5\mathrm{OLS}_{5,1}^{(i)},\end{equation}

where

\begin{align*} \mathrm{OLS}_{5,1}^{(1)}& ={-}\frac{\nu}{2\alpha}\int_0^t\left\langle \tilde K\partial_X^{{-}1}O^t_{2\alpha}\Delta_LZ^-_{{\neq}}, \tilde KSZ^+_{{\neq}}\right\rangle {\rm d}t',\\ \mathrm{OLS}_{5,1}^{(2)}& =\frac{\nu}{2\alpha}\int_0^t\left\langle \tilde K\partial_X^{{-}1}O^t_{2\alpha}\Lambda\left(b\partial_Y^LZ^-_{{\neq}}\right), \tilde KSZ^+_{{\neq}}\right\rangle {\rm d}t',\\ \mathrm{OLS}_{5,1}^{(3)}& =\frac{1}{2\alpha}\int_0^t\left\langle \tilde K\partial_X^{{-}1}O^t_{2\alpha}\Lambda\left(a^2S\Lambda\left(Z^-_{{\neq}}-O^t_{{-}2\alpha}Z^+_{{\neq}}\right)\right), \tilde KSZ^+_{{\neq}}\right\rangle {\rm d}t',\\ \mathrm{OLS}_{5,1}^{(4)}& ={-}\frac{1}{2\alpha}\int_0^t\left\langle \tilde K\partial_X^{{-}1}O^t_{2\alpha}\Lambda\left(b\partial_X\Delta^{{-}1}_tO^t_{{-}2\alpha}Z^+_{{\neq}}\right), \tilde KSZ^+_{{\neq}}\right\rangle {\rm d}t',\\ \mathrm{OLS}_{5,1}^{(5)}& ={-}\frac{1}{2\alpha}\int_0^t\left\langle \tilde K\partial_X^{{-}1}O^t_{2\alpha}\Lambda\mathrm{NL}^-_{{\neq}}, \tilde KSZ^+_{{\neq}}\right\rangle {\rm d}t'. \end{align*}

Similar to (4.32), we obtain

(4.34)\begin{align} \left|\mathrm{OLS}_{5,1}^{(1)}\right|+\left|\mathrm{OLS}_{5,1}^{(2)}\right|\le\left(\frac{\nu}{4|\alpha|}+\frac{C\delta\nu}{|\alpha|(1-C\delta)}\right)\left\|\nabla_L\tilde KZ^-_{{\neq}}\right\|_{L^2L^2}\left\|\nabla_L\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}.\end{align}

Similar to (4.26) and (4.29), we arrive at

(4.35)\begin{align} \mathrm{OLS}_{5,1}^{(3)} & \le\frac{1}{2|\alpha|}\left(\left\|\tilde K\Lambda\left(S\Lambda\left(Z^-_{{\neq}}-O^t_{{-}2\alpha}Z^+_{{\neq}}\right)\right)\right\|_{L^2L^2}\right.\nonumber\\ & \quad\left.+\left\|\tilde K\Lambda\left((a^2-1)S\Lambda\left(Z^-_{{\neq}}-O^t_{{-}2\alpha}Z^+_{{\neq}}\right)\right)\right\|_{L^2L^2}\right)\|\tilde KSZ^+_{{\neq}}\|_{L^2L^2}\nonumber\\ & \le \left(\frac{1}{|\alpha|(1-C\delta)^2}+\frac{C\delta}{|\alpha|(1-C\delta)^2}\right)\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \quad\times\left(\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}+\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde KZ^-_{{\neq}}\right\|_{L^2L^2}\right). \end{align}

Clearly, $\mathrm {OLS}_{5,1}^{(4)}$ can be bounded in the same way as (4.31)

(4.36)\begin{equation} \left|\mathrm{OLS}_{5,1}^{(4)}\right|\le\frac{C\delta}{|\alpha|(1-C\delta)^2}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}^2.\end{equation}

The estimates of $\mathrm {OLS}_{5,1}^{(5)}$ will be postponed in Step IV.

To estimate $\mathrm {OLS}_{5,2}$, we split it into two parts according to (2.32) and (2.33):

\[ \mathrm{OLS}_{5,2}={-}\frac{1}{2\alpha}\int_0^t\left\langle \tilde K\partial_X^{{-}1}O^t_{2\alpha}\partial_t\Lambda Z^-_{{\neq}}, \tilde KSZ^+\right\rangle {\rm d}t'=\mathrm{OLS}_{5,2}^{(1)}+\mathrm{OLS}_{5,2}^{(2)}, \]

where

\begin{align*} \mathrm{OLS}_{5,2}^{(1)}& ={-}\frac{1}{2|\alpha|}\int_0^t\left\langle \tilde K\partial_X^{{-}1}O^t_{2\alpha}\Lambda\tilde \Lambda^1_t\Lambda Z^-_{{\neq}}, \tilde KSZ^+_{\ne}\right\rangle {\rm d}t',\\ \mathrm{OLS}_{5,2}^{(2)}& ={-}\frac{1}{2|\alpha|}\int_0^t\left\langle \tilde K\partial_X^{{-}1}O^t_{2\alpha}\Lambda\tilde \Lambda^2_t\Lambda Z^-_{{\neq}}, \tilde KSZ^+_{\ne}\right\rangle {\rm d}t'. \end{align*}

From (A.8) and (3.29), we obtain

\begin{align*} \mathrm{OLS}_{5,2}^{(1)}& \le\frac{1}{|\alpha|}\left\|\tilde K\Lambda\tilde \Lambda^1_t\Lambda Z^-_{{\neq}}\right\|_{L^2L^2}\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \le\frac{1}{|\alpha|}\frac{C\delta}{(1-C\delta)^2}\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde K Z^-_{{\neq}}\right\|_{L^2L^2}\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde K Z^+_{{\neq}}\right\|_{L^2L^2}. \end{align*}

The rest part $\mathrm {OLS}_{5,2}^{(2)}$ can be bounded as follows. Using the definition of $\tilde \Lambda ^2_t$ in (2.33), lemmas A.2 and C.1, we are led to

\begin{align*} & \left\|\tilde K\tilde\Lambda^2_t\Lambda Z^-_{{\neq}}\right\|_{L^2L^2}\\ & \quad\le{C}\left\|\left(\langle\cdot \rangle^{N+(1+\frac{3}{2}\tilde\delta)}\left(|\widehat{a\partial_ta}|+|\widehat{\partial_tb}|\right)\right)*|\widehat{\tilde K\Lambda Z^-_{{\neq}}}|\right\|_{L^2_tL^2_{k,\eta}}\nonumber\\ & \quad\le{C}\left\|\langle\cdot \rangle^{N+(1+\frac{3}{2}\tilde\delta)}\left(|\widehat{a\partial_ta}|+|\widehat{\partial_tb}|\right)\right\|_{L^2_tL^1_\eta}\|\tilde K\Lambda Z^-_{{\neq}}\|_{L^\infty L^2}\nonumber\\ & \quad\le\frac{C}{1-C\delta}\left(\left\|{a\partial_ta}\right\|_{L^2H^{N+(1+\frac{3}{2}\tilde\delta)+1}}+\left\|{\partial_tb}\right\|_{L^2H^{{N+(1+\frac{3}{2}\tilde\delta)+1}}}\right)\|\tilde KZ^-_{{\neq}}\|_{L^\infty L^2}\nonumber\\ & \quad \le\frac{C\delta\nu^{1/2}}{1-C\delta}\|\tilde KZ^-_{{\neq}}\|_{L^\infty L^2}. \end{align*}

Then it follows this and lemma C.1 that

(4.37)\begin{align} \mathrm{OLS}_{5,2}^{(2)}& \le\frac{1}{|\alpha|(1-C\delta)}\left\|\tilde K\tilde \Lambda^2_t\Lambda Z^-_{{\neq}}\right\|_{L^2L^2}\left\|\tilde KSZ^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \le\frac{C\delta\nu^{1/2}}{|\alpha|(1-C\delta)^2}\left\|\tilde KZ^-_{{\neq}}\right\|_{L^\infty L^2}\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}. \end{align}

Step III: estimates of $\mathcal {LP}$. By (2.18), we rewrite $\mathcal {LP}$ as

(4.38)\begin{equation} \mathcal{LP}=\int_0^t\left\langle \tilde KZ^+, \tilde K\mathrm{LP}^+\right\rangle {\rm d}t'=\mathcal{LP}_1+\mathcal{LP}_2+\mathcal{LP}_3,\end{equation}

where

\begin{align*} \mathcal{LP}_1& ={-}\int_0^t\left\langle \tilde KZ^+_{{\neq}},\tilde K\left((a^2-1)S\Lambda (Z^+_{{\neq}}-O^t_{2\alpha}Z^{-}_{\ne})\right)\right\rangle {\rm d}t',\\ \mathcal{LP}_2& =\int_0^t\left\langle \tilde KZ^+_{{\neq}},\tilde K\left(b\partial_X\Delta^{{-}1}_L\Lambda O^t_{2\alpha}Z^-_{{\neq}}\right)\right\rangle {\rm d}t',\\ \mathcal{LP}_3& =\nu\int_0^t\left\langle \tilde KZ^+,\tilde K\left((a^2-1)\partial^L_{YY}Z^+\right)\right\rangle {\rm d}t'. \end{align*}

To estimate $\mathcal {LP}_1$, let us denote $Z_\ne :=Z^+_\ne -O^t_{2\alpha }Z^{-}_{\ne }$, and rewrite $\mathcal {LP}_1$ as

\begin{align*} \mathcal{LP}_1& ={-}\frac{1}{4\pi^2}\sum_{k\neq0}\int_0^t\int_\eta\int_\xi \tilde K(k,\eta) \widehat{(a^2-1)}(\eta-\xi)\frac{k(\xi-kt)}{k^2+(\xi-kt)^2}\widehat{\Lambda Z_{{\neq}}}(k, \xi)\nonumber\\ & \quad\times \tilde K(k,\eta)\bar{\hat{Z}}^+_{{\neq}}(k,\eta)d\xi d\eta {\rm d}t'. \end{align*}

Swapping the positions of $\eta$ and $\xi$ in (A.11), then using the resulting inequality, (A.3), lemma C.1, and (4.15), we have

(4.39)\begin{align} \mathcal{LP}_1& \le C\sum_{k\ne0}\int_0^t\int_\eta\int_\xi\langle\eta-\xi\rangle^{N+(1+\frac{3}{2}\tilde\delta)+\frac{3}{2}}|\widehat{a^2-1}|(\eta-\xi)\nonumber\\ & \quad \times\sqrt{\frac{|k(\xi-kt)|}{k^2+(\xi-kt)^2}}|\widehat{\tilde K\Lambda Z_{{\neq}}}|(k,\xi)\nonumber\\ & \quad \times\left(\sqrt{\frac{|k(\eta-kt)|}{k^2+(\eta-kt)^2}}+\sqrt{\frac{|k|}{k^2+(\eta-kt)^2}}\right)|\widehat{\tilde {K}Z^+_{{\neq}}}|(k,\eta)d\xi d\eta {\rm d}t\nonumber\\ & \le C\delta\left\|\sqrt{\left|S\right|} \tilde K\Lambda Z_{{\neq}}\right\|_{L^2L^2}\left(\left\|\sqrt{\left|S\right|}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}+\left\|\sqrt{-\frac{\dot M_1}{M_1}} \tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\right)\nonumber\\ & \le \frac{C\delta}{1-C\delta}\left(\left\|\sqrt{\left|S\right|}\tilde KZ_{{\neq}}\right\|_{L^2L^2}+\frac{C\delta}{1-C\delta}\left\|\sqrt{-\frac{\dot M_1}{M_1}}\tilde K Z_{{\neq}}\right\|_{L^2L^2}\right)\nonumber\\ & \quad\times\left(\left\|\sqrt{\left|S\right|}\tilde K Z^+_{{\neq}}\right\|_{L^2L^2}+\left\|\sqrt{-\frac{\dot M_1}{M_1}} \tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\right)\nonumber\\ & \le \frac{C\delta}{1-C\delta}\Bigg(\left\|\sqrt{\left|S\right|_d}\tilde K Z^\pm_{{\neq}}\right\|^2_{L^2L^2}+{\frac{1}{1000^3}}\nu\left\|\nabla_L\tilde KZ^\pm_{{\neq}}\right\|^2_{L^2L^2}\nonumber\\ & \quad+\frac{1}{{1+\frac{3}{2}\tilde\delta}}\left\|\sqrt{-\frac{\partial_t(\tilde m^{1/2})}{\tilde m^{1/2}}}\tilde KZ^\pm_{{\neq}}\right\|^2_{L^2L^2}+\left\|\sqrt{-\frac{\dot M_1}{M_1}} \tilde KZ^\pm_{{\neq}}\right\|^2_{L^2L^2}\Bigg). \end{align}

Now we turn to estimate $\mathcal {LP}_2$. Compared with (4.31), we need an extra commutator estimate of $\sqrt {\left |\partial _X\Delta _L^{-1}\right |}$. Indeed, using (A.8), (A.9) and lemma C.1, one easily deduces that

(4.40)\begin{align} \mathcal{LP}_2& \le C\sum_{k\ne0}\int_0^t\int_\eta\int_\xi \tilde K(k,\eta)\left(|\hat{b}|(\eta-\xi)\frac{k^2}{k^2+(\xi-kt)^2}|\widehat{\Lambda Z^-_{{\neq}}}|(k,\xi)\right)\nonumber\\ & \quad \times |\widehat{\tilde KZ^+_{{\neq}}}|(k,\eta)d\xi d\eta {\rm d}t'\nonumber\\ & \le C\sum_{k\ne0}\int_0^t\int_\eta\int_\xi \langle\eta-\xi\rangle^{N+(1+\frac{3}{2}\tilde\delta)+1}|\hat{b}|(\eta-\xi)\frac{|k|}{\sqrt{k^2+(\xi-kt)^2}}|\widehat{\tilde K\Lambda Z^-_{{\neq}}}|(k,\xi)\nonumber\\ & \quad\times \frac{|k|}{\sqrt{k^2+(\eta-kt)^2}}|\widehat{\tilde KZ^+_{{\neq}}}|(k,\eta)d\xi d\eta {\rm d}t' \nonumber\\ & \le C\delta\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde K\Lambda Z^-_{{\neq}}\right\|_{L^2L^2}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}\nonumber\\ & \le\frac{C\delta}{1-C\delta}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde KZ^-_{{\neq}}\right\|_{L^2L^2}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde KZ^+_{{\neq}}\right\|_{L^2L^2}. \end{align}

To bound $\mathcal {LP}_3$, it is natural to divide it into two parts as follows

\begin{align*} \mathcal{LP}_3& =\nu\int_0^t\left\langle \tilde KZ^+_{{\neq}},\tilde K\left((a^2-1)\partial^L_{YY}Z^+_{{\neq}}\right)\right\rangle {\rm d}t'\\& \quad +\nu\int_0^t\left\langle \tilde KZ^+_0,\tilde K\left((a^2-1)\partial_{YY}Z^+_0\right)\right\rangle {\rm d}t'\nonumber\\ & =:\mathcal{LP}_{3,\ne}+\mathcal{LP}_{3,0}. \end{align*}

Similar to (4.32), we obtain

(4.41)\begin{equation} \mathcal{LP}_{3,\ne}\le C\delta\nu\|\nabla_L\tilde KZ^+_\ne\|^2_{L^2L^2}.\end{equation}

For $\mathcal {LP}_{3,0}$, integrating by parts and using (2.4) and (A.3) yields

(4.42)\begin{align} \mathcal{LP}_{3,0}& \le C\nu\|a^2-1\|_{L^\infty H^N}\|\partial_YZ^+_0\|_{L^2H^N}^2+C\nu\|b\|_{L^2H^N}\|Z^+_0\|_{L^\infty H^N}\|\partial_YZ^+_0\|_{L^2H^N}\nonumber\\ & \le C \delta \left( \nu\left\| \nabla_L \tilde K Z_0^+\right\|_{L^2L^2}^2+\left\|\tilde K Z_0^+ \right\|_{L^\infty L^2}^2 \right) . \end{align}

Step IV: nonlinear estimates. We first collect all the above nonlinear terms to be estimated:

(4.43)\begin{equation} \begin{aligned} \mathrm{OLS}_4^{(5)} & ={-}\frac{1}{2\alpha}\int_0^t\left\langle S\partial_X^{{-}1}O^t_{2\alpha}\tilde K\Lambda Z^-_{{\neq}},\tilde K\mathrm{NL}_{{\neq}}^+\right\rangle {\rm d}t',\\ \mathrm{OLS}_{5,1}^{(5)} & ={-}\frac{1}{2\alpha}\int_0^t\left\langle \tilde K\partial_X^{{-}1}O^t_{2\alpha}\Lambda\mathrm{NL}^-_{{\neq}}, \tilde KSZ^+_{{\neq}}\right\rangle {\rm d}t',\\ \mathcal{NL} & =\int_0^t\left\langle \tilde KZ^+, \tilde K\mathrm{NL}^+\right\rangle {\rm d}t'. \end{aligned} \end{equation}

Owing to lemma C.1 and the fact $|S|\le \frac{1}{2}$, we observe that the bounds of the three quantities are essentially the same. To avoid unnecessary repetition, we only sketch the treatment of $\mathcal {NL}$ by modifying the nonlinear estimates in the Couette case, see (3.35)–(3.40). In fact, recalling the definition of $\mathrm {NL}^\pm$ (2.17), we write

\[ \mathcal{NL}=\int_0^t\left\langle \tilde KZ^+, \tilde K\mathrm{NLT}^+\right\rangle {\rm d}t'+\int_0^t\left\langle \tilde KZ^+, \tilde K\mathrm{NLS}^+\right\rangle {\rm d}t'=\mathcal{NLT}+\mathcal{NLS}, \]

here we use the shorthand notation $\mathrm {NLS}^\pm :=\mathrm {NLS}1^\pm +\mathrm {NLS}2^\pm$. Noting that

\[ \left\langle \tilde KZ^+_0, \tilde K \left((U^1_0+B^1_0)\partial_XZ^+\right)\right\rangle=0, \]

by virtue of (4.6), (4.8), lemmas 4.2 and C.1, and the hypotheses (4.10) and (4.11), one deduces that

(4.44)\begin{align} \mathcal{NLT} & \le\|\tilde KZ^+_{{\neq}}\|_{L^2L^2}\|U^1_0+ B^1_0\|_{L^\infty H^N}\|\partial_XZ^+_{{\neq}}\|_{L^2H^N}\nonumber\\ & \quad+\|\tilde KZ^+\|_{L^\infty L^2}\|\nabla^\bot_t\Delta^{{-}1}_{t}O^t_{2\alpha}Z^-_{{\neq}}\cdot\nabla_tZ^+_{{\neq}}\|_{L^1H^N}\nonumber\\ & \quad+\|\tilde KZ^+\|_{L^\infty L^2}\left\|a\partial_X\Delta_L^{{-}1}\Lambda O^t_{2\alpha}Z^-_{{\neq}}\partial_YZ^+_0\right\|_{L^1H^N}\nonumber\\ & \le C\nu^{-\frac{\tilde\delta}{2}}\|\tilde KZ^+_{{\neq}}\|_{L^2L^2}\|U^1_0+B^1_0\|_{L^\infty H^N}\|\nabla_L\tilde KZ^+_{{\neq}}\|_{L^2L^2}\nonumber\\ & \quad+C\nu^{-\tilde\delta}\|\tilde KZ^+\|_{L^\infty L^2}\left(\|\tilde KZ^-_{{\neq}}\|_{L^2L^2}+\nu^{-\frac{1}{3}}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde KZ^-_{{\neq}}\right\|_{L^2L^2}\right)\nonumber\\ & \quad\times \|\nabla_L\tilde KZ^+_{{\neq}}\|_{L^2L^2}\nonumber\\ & \quad+C\nu^{-\frac{\tilde\delta}{2}}\|\tilde KZ^+\|_{L^\infty L^2}\left\|\sqrt{-\frac{\dot{M}_1}{M_1}}\tilde KZ^-_{{\neq}}\right\|_{L^2L^2}\|\partial_YZ^+_0\|_{L^2H^N}\nonumber\\ & \le C\nu^{-\frac{5}{6}-\tilde\delta}\epsilon^3. \end{align}

Similar to (3.40), using (2.21), (2.23), (3.39), (A.3), (A.1), and lemma C.1, we arrive at

(4.45)\begin{align} \mathcal{NLS}& \le C \|\tilde KZ^+\|_{L^\infty L^2}\left(\left\| aS\Lambda O^t_{2\alpha}Z^{-}_{{\neq}}(2\partial_{XX}\Delta^{{-}1}_L\Lambda Z^+_{{\neq}}-Z^+)\right\|_{L^1H^N}\right.\nonumber\\ & \quad\left.+\left\|aS\Lambda Z^+_{{\neq}}(2\partial_{XX}\Delta^{{-}1}_L\Lambda O^t_{2\alpha}Z^{-}_{{\neq}}-O^t_{2\alpha}Z^{-})\right\|_{L^1H^N}\right)\nonumber\\ & \le C\|\tilde KZ^+\|_{L^\infty L^2}\left(\nu^{-\frac{\tilde\delta}{2}}\|\tilde m^{1/2}Z^\mp_{{\neq}}\|_{L^2H^N}\right)\left(\nu^{-(\frac{1}{3}+\frac{\tilde\delta}{2})}\|\tilde m^{1/2}Z^\pm_\ne\|_{L^2H^N}\right)\nonumber\\ & \quad+C\|\tilde KZ^+_{{\neq}}\|_{L^2 L^2}\left(\nu^{-\frac{\tilde\delta}{2}}\|\tilde m^{1/2}Z^\mp_{{\neq}}\|_{L^2H^N}\right)\left(\nu^{-(\frac{1}{3}+\frac{\tilde\delta}{2})}\|\tilde m^{1/2}Z^\pm_0\|_{L^\infty H^N}\right)\nonumber\\ & \le C\nu^{-\frac{2}{3}-\tilde\delta}\epsilon^3. \end{align}

Now collecting the above estimates in Step I–IV, we conclude that there exist positive constant $\alpha _0$ (sufficiently large) and $\delta _0$ (sufficiently small) independent of $\nu$, such that if $|\alpha |\ge \alpha _0$ and $\delta \le \delta _0$, there holds

(4.46)\begin{align} & \|\tilde KZ^+(t)\|^2_{L^2}+\nu\|\nabla_L\tilde KZ^+\|^2_{L^2L^2}+\left\|\sqrt{-\frac{\dot{M}}{M}}\tilde KZ^+\right\|^2_{L^2L^2}\nonumber\\& \quad \le3\|\tilde KZ^+(0)\|^2_{L^2}+C\nu^{-\frac{5}{6}-\tilde\delta}\epsilon^3, \end{align}

where the constant $C$ depends only on $N$ and $\alpha$. It suffices to improve (4.10) as long as $\epsilon \ll \nu ^{\frac{5}{6}+\tilde \delta }$.

The improvement of (4.11) is similar to that of (3.20). Firstly, we write the equations of $U_0^1\mp B_0^1$:

\begin{align*} \partial_t\left(U^1_0\mp B^1_0\right)-\nu\partial_{YY}\left(U^1_0\mp B^1_0\right)& =\nu(a^2-1)\partial_{YY}\left(U^1_0\mp B^1_0\right)+\nu b\partial_Y\left(U^1_0\mp B^1_0\right)\\ & \quad-\left((U_\neq{\pm} B_\neq)\cdot\nabla_t (U^1_\neq{\mp} B^1_\neq)\right)_0. \end{align*}

Then we have the energy identity

(4.47)\begin{align} & \frac{1}{2}\left\|(U^1_0\mp B^1_0)(t)\right\|_{H^N}^2+\nu\|\partial_Y(U^1_0\mp B^1_0)\|^2_{L^2H^N}\nonumber\\ & \quad=\frac{1}{2}\left\|(U^1_0\mp B^1_0)(0)\right\|_{H^N}^2\nonumber\\ & \qquad-\int_0^t\left\langle U^1_0\mp B^1_0, \left((U_\neq{\pm} B_\neq)\cdot\nabla_L (U^1_\neq{\mp} B^1_\neq)\right)_0\right\rangle_{H^N}{\rm d}t'\nonumber\\ & \qquad+\nu\int_0^t\left\langle U^1_0\mp B^1_0, (a^2-1)\partial_{YY}\left(U^1_0\mp B^1_0\right) \right\rangle_{H^N} {\rm d}t'\nonumber\\ & \qquad+\nu\int_0^t\left\langle U^1_0\mp B^1_0, b\partial_Y\left(U^1_0\mp B^1_0\right) \right\rangle_{H^N} {\rm d}t'\nonumber\\ & \quad=\frac{1}{2}\left\|(U^1_0\mp B^1_0)(0)\right\|_{H^N}^2+\sum_{q=1}^3I_q. \end{align}

Using the divergence free condition $\nabla _t\cdot (U\pm B)=0$, we find that

\begin{align*} I_1& =\int_0^t\left\langle \partial_Y\left(U^1_0\mp B^1_0\right), a\left((U_{{\neq}}^2\pm B_{{\neq}}^2) (U^1_\neq{\mp} B^1_\neq)\right)_0\right\rangle_{H^N}{\rm d}t'\nonumber\\ & \quad+\int_0^t\left\langle U^1_0\mp B^1_0, \partial_Ya\left((U_{{\neq}}^2\pm B_{{\neq}}^2) (U^1_\neq{\mp} B^1_\neq)\right)_0\right\rangle_{H^N}{\rm d}t'. \end{align*}

Recalling (2.4), it is easy to rewrite $\partial _Ya$ as follows

\[ \partial_Ya=b+\left(\frac{1}{1-(1-a)}-1\right)b=b+b\sum_{n=1}^{+\infty}a^n. \]

Combining this with (A.3) yields $\nu ^{\frac{1}{2}}\|\partial _Ya\|_{L^2H^N}\lesssim \delta$. On the other hand, similar to (3.45) and (3.46), we have

\[ \left\|U_\neq^2\pm B_\neq^2\right\|_{L^2H^N}= \left\|\partial_X\Delta_L^{{-}1}\Lambda O^t_\alpha Z^\mp \right\|_{L^2H^N}\lesssim \nu^{-\frac{\tilde\delta}{2}}\left\|\sqrt{-\frac{\dot{M}}{M}}\tilde KZ^\mp\right\|_{L^2L^2}, \]

and

\[ \|U^1_\neq{\mp} B^1_\neq\|_{L^\infty H^N}= \left\|a\partial_Y^L\Delta^{{-}1}_L\Lambda O^t_{-\alpha}Z^\pm_\ne\right\|_{L^\infty H^N}\lesssim\nu^{-\frac{\tilde\delta}{2}}\left\|\tilde KZ^\pm_\ne\right\|_{L^\infty L^2}. \]

It follows that

(4.48)\begin{align} I_1& \lesssim\nu^{-\tilde\delta}\left(1+\|a-1\|_{L^\infty H^N}\right)\left\|\partial_Y(U_0^1\mp B^1_0) \right\|_{L^2H^N}\nonumber\\ & \quad\times \left\|\sqrt{-\frac{\dot{M}}{M}}\tilde KZ^\mp\right\|_{L^2L^2}\left\|\tilde KZ^\pm_\ne\right\|_{L^\infty L^2}\nonumber\\ & \quad+\nu^{-\tilde\delta}\|\partial_ta\|_{L^2H^N}\left\|U_0^1\mp B^1_0 \right\|_{L^\infty H^N}\left\|\sqrt{-\frac{\dot{M}}{M}}\tilde KZ^\mp\right\|_{L^2L^2}\left\|\tilde KZ^\pm_\ne\right\|_{L^\infty L^2}. \end{align}

Integrating by parts, and using (A.3), it is easy to see that

(4.49)\begin{align} I_2+I_3\lesssim \delta \nu\|\partial_Y(U_0^1\mp B^1_0)\|_{L^2H^N}^2+\delta \nu^\frac{1}{2}\|U_0^1\mp B^1_0\|_{L^\infty H^N}\|\partial_Y(U_0^1\mp B^1_0)\|_{L^2H^N}.\end{align}

Substituting (4.48) and (4.49) into (4.47), and using the hypotheses (4.10) and (4.11), we have

(4.50)\begin{align} \|({U}^1_0\mp{B}^1_0)(t)\|_{H^N}^2+\nu\|\partial_Y({U}^1_0\mp{B}^1_0)\|^2_{L^2H^N}\le 2\|({U}^1_0\mp{B}^1_0)(0)\|_{H^N}^2+C\nu^{-\frac{1}{2}-\tilde\delta}\epsilon^3,\end{align}

for some constant $C$ independent of $\nu$. Combining (4.46) and (4.50), one deduces proposition 4.3 under the hypotheses $\epsilon \ll \nu ^{\frac{5}{6}+\tilde \delta }$ and hence of theorem 4.1.

Appendix A. Estimates for the coefficients $a$ and $b$

To begin with, we give a lemma to discuss the relation between the new coordinate system (2.2) and the original $( x,y)$. Please refer to [Reference Inci, Kappeler and Topalov21] and [Reference Bedrossian, Vicol and Wang8] for the proof.

Lemma A.1 Let $s'\ge 2,s'\geq s \geq 0, f\in H^s(\mathbb {R}),$ and $g \in H^{s'}(\mathbb {R})$ be such that $\left \| g\right \|_{H^{s'}} \leq \delta.$ Then, there holds

(A.1)\begin{equation} C_{s,s'}(\delta)^{{-}1} \left\| f \circ \left( I+g\right) \right\| _{H^s}\le\left\| f\right\|_{H^s} \le C_{s,s'}(\delta) \left\| f \circ \left( I+g\right) \right\| _{H^s},\end{equation}

where the implicit constant obey $C_{s,s'}(\delta )\to 1$ as $\delta \to 0$.

From the properties of the heat equation and lemma A.1, we can deduce the energy estimates of the coefficients $a$ and $b$.

Lemma A.2 Let $s\ge 0$. Assume that $U(y)$ satisfies

(A.2)\begin{equation} \|U(y)-y\|_{H^{s+2}}\le\delta\le1, \end{equation}

then there holds

(A.3)\begin{equation} \|a-1\|_{L^\infty H^s}+\|b\|_{L^\infty H^s}+\nu^\frac{1}{2}\|b\|_{L^2H^s}\lesssim \delta, \end{equation}

and

(A.4)\begin{equation} \|\partial_ta\|_{L^2H^{s-1}}+\|\partial_t b\|_{L^2H^{s-1}}\lesssim \delta\nu^{1/2}. \end{equation}

Proof. Note that $\partial _y^l\bar {U}, l\ge 0$ solves

\[ \partial_t\partial_y^l\bar{U}-\nu\partial_y^{l+2}\bar{U}=0, \quad \partial_y^l\bar{U}|_{t=0}=\partial_y^l{U}. \]

Therefore, integrating by parts, we have

\[ \nu\|\partial_y^{2}\bar{U}\|^2_{L^2H^s}={-}\int_\mathbb{R}\langle\partial_y\rangle^s\partial_t\left(\partial_y\bar{U}-1\right)\langle\partial_y\rangle^s\left(\partial_y\bar{U}-1\right){\rm d}y={-}\frac{1}{2}\frac{{\rm d}}{{\rm d}t}\|\partial_y\bar{U}-1\|^2_{H^s}, \]

and

\[ \nu\|\partial_y^{l+2}\bar{U}\|^2_{L^2H^s}={-}\int_\mathbb{R}\langle\partial_y\rangle^s\partial_t\partial^{l+1}_y\bar{U}\langle\partial_y\rangle^s\partial_y^{l+1}\bar{U}{\rm d}y={-}\frac{1}{2}\frac{{\rm d}}{{\rm d}t}\|\partial_y^{l+1}\bar{U}\|^2_{H^s}, \ \ \ l\ge1. \]

Consequently,

\[ \frac{1}{2}\|\partial_y\bar{U}-1\|^2_{L^\infty H^s}+\nu\|\partial_y^{2}\bar{U}\|^2_{L^2H^s}\le \frac{1}{2}\|U'-1\|^2_{H^s}, \]

and

\[ \frac{1}{2}\|\partial_y^{l+1}\bar{U}\|^2_{L^\infty H^s}+\nu\|\partial_y^{l+2}\bar{U}\|^2_{L^2H^s}\le \frac{1}{2}\|\partial_y^{l+1}U\|^2_{H^s}, \quad l\ge1. \]

Combining these two estimates with (2.3), (2.9) and lemma A.1, we find that

\begin{align*} \|a-1\|_{L^\infty H^s}+\nu^\frac{1}{2}\|b\|_{L^2 H^s} & \lesssim \|\partial_y\bar{U}-1\|^2_{L^\infty H^s}+ \nu^{\frac{1}{2}}\|\partial_y^{2}\bar{U}\|_{L^2H^s} \lesssim \|U'-1\|_{H^s} \lesssim \delta,\\ \|b\|_{L^\infty H^s}& \lesssim \|\partial_y^2\bar{U}\|_{L^\infty H^s}\lesssim\|U''\|_{H^s}\lesssim\delta,\|\partial_ta\|_{L^2H^{s-1}}\\ & \le C \nu\left(\|c\|_{L^2H^{s-1}}+\|b\|_{L^2 H^{s-1}}\|\partial_Ya\|_{L^\infty H^{s-1}}\right)\\ & \le C\nu\left(\|c\|_{L^2H^{s-1}}+\|b\|_{L^2 H^{s-1}}\|a-1\|_{L^\infty H^{s}}\right)\\ & \le C\nu \left(\|\partial_y^3\bar{U}\|_{L^2H^{s-1}}+\|\partial_y^2\bar{U}\|_{L^2 H^{s-1}}\|\partial_y\bar{U}-1\|_{L^\infty H^{s}}\right)\\ & \le C\nu^{1/2}\left(\|{U}''\|_{H^{s-1}}+\|{U}'-1\|_{ H^{s-1}}\|{U}'-1\|_{ H^{s}}\right)\\ & \lesssim \delta \nu^{\frac{1}{2}}, \end{align*}

and

\begin{align*} \|\partial_tb\|_{L^2H^{s-1}}& \le C \nu\left(\|d\|_{L^2H^{s-1}}+\|b\|_{L^\infty H^{s-1}}\|\partial_Yb\|_{L^2 H^{s-1}}\right)\\ & \le C\nu\left(\|d\|_{L^2H^{s-1}}+\|b\|_{L^\infty H^{s-1}}\|b\|_{L^2 H^{s}}\right)\\ & \le C\nu \left(\|\partial_y^4\bar{U}\|_{L^2H^{s-1}}+\|\partial_y^2\bar{U}\|_{L^\infty H^{s-1}}\|\partial_y^2\bar{U}\|_{L^2 H^{s}}\right)\\ & \le C\nu^{1/2}\left(\|{U}'''\|_{H^{s-1}}+\|{U}''\|_{ H^{s-1}}\|{U}'-1\|_{ H^{s}}\right)\\ & \lesssim \delta \nu^{\frac{1}{2}}. \end{align*}

This completes the proof of lemma A.2.

Remark A.3 In this paper, we choose $s=N+4$. Then (A.2) reduces to (4.1).

Appendix B. Commutator estimates

To deal with the nonlinear terms, we need the following lemmas to exchange frequencies. The first one can be regarded as an analogue of Lemma A.1 in [Reference Bedrossian, Germain and Masmoudi3]. We give a proof below for the sake of completeness.

Lemma B.1 The multiplier $\tilde m$ satisfies

(B.1)\begin{equation} \tilde m(t,k, \eta)\lesssim \langle\eta-\xi\rangle^{2(1+\frac{3}{2}\tilde\delta)}\tilde m(t,k, \xi). \end{equation}

Proof. We only consider the case $k \ne 0.$

Case 1: $\frac {\eta }{k} < -1000\nu ^{-\frac {1}{3}}, \tilde m(t,k,\eta ) = 1$. It suffices to estimate $\tilde m^{-1}(t,k,\xi )$.

Case 1.1: $-1000\nu ^{-\frac {1}{3}} < \frac {\xi }{k} < 0$. Now we have

\[ \tilde m^{{-}1}(t,k,\xi) \le \left(\frac{1+\left(1000\nu^{-\frac{1}{3}}\right)^2}{1+\left(\frac{\xi}{k}\right)^2}\right)^{1+\frac{3}{2}\tilde{\delta}}\le\left(\frac{1+\left(\frac{\eta}{k}\right)^2}{1+\left(\frac{\xi}{k}\right)^2}\right)^{1+\frac{3}{2}\tilde{\delta}}\le\langle\eta-\xi\rangle^{2(1+\frac{3}{2}\tilde\delta)}. \]

Case 1.2: if $\frac {\xi }{k}>0, \frac {\xi }{k}< t < \frac {\xi }{k}+1000\nu ^{-\frac {1}{3}}$.

\begin{align*} \tilde m^{{-}1}(t,k,\xi)& =\left(\frac{k^2+(\xi-kt)^2}{k^2}\right)^{1+\frac{3}{2}\tilde{\delta}} =\left(1+\left( \frac{\xi}{k}-t\right)^2 \right)^{1+\frac{3}{2}\tilde{\delta}}\nonumber\\ & \le \left(1+ \left( \frac{\eta}{k}-\frac{\xi}{k}\right)^2 \right)^{1+\frac{3}{2}\tilde{\delta}} \le\langle\eta-\xi\rangle^{2(1+\frac{3}{2}\tilde\delta)}. \end{align*}

Case 1.3: if $\frac {\xi }{k}>0, t > \frac {\xi }{k}+1000\nu ^{-\frac {1}{3}}$.

\[ \tilde m^{{-}1}(t,k,\xi)=\left(1+\left( 1000\nu^{-\frac{1}{3}}\right) ^2\right)^{1+\frac{3}{2}\tilde{\delta}}\le \left(1+ \left( \frac{\eta}{k}-\frac{\xi}{k}\right)^2\right)^{1+\frac{3}{2}\tilde{\delta}} \le\langle\eta-\xi\rangle^{2(1+\frac{3}{2}\tilde\delta)}. \]

Case 2: $-1000\nu ^{-\frac {1}{3}} < \frac {\eta }{k} < 0$.

Case 2.1: $0< t<\frac {\eta }{k}+1000\nu ^{-\frac {1}{3}}$, and $\tilde m(t,k,\eta )=( \frac {k^2+\eta ^2}{k^2+(\eta -kt)^2}) ^{1+\frac{3}{2}\tilde \delta }$.

  • • Case 2.1.1: $-1000\nu ^{-\frac {1}{3}}<\frac {\xi }{k}<0$.

    (B.2)\begin{equation} \tilde m(t,k,\xi)\ge\left(\frac{k^2+\xi^2}{k^2+(\xi-kt)^2}\right)^{1+\frac{3}{2}\tilde{\delta}}, \quad \forall ~t\ge0. \end{equation}
    Therefore,
    \begin{align*} \frac{\tilde m(t, k,\eta)}{\tilde m(t, k, \xi)}& \le \left(\frac{1+\left(\frac{\eta}{k}\right)^2}{1+\left(\frac{\xi}{k}\right)^2}\cdot\frac{1+\left(\frac{\xi}{k}-t\right)^2}{1+\left(\frac{\eta}{k}-t\right)^2}\right)^{1+\frac{3}{2}\tilde\delta}\\ & \le \begin{cases} \left(\frac{1+\left(\frac{\xi}{k}-t\right)^2}{1+\left(\frac{\eta}{k}-t\right)^2}\right)^{1+\frac{3}{2}\tilde\delta}, \text{ if } \left|\frac{\eta}{k}\right|\le\left|\frac{\xi}{k}\right|\\ \left(\frac{1+\left(\frac{\eta}{k}\right)^2}{1+\left(\frac{\xi}{k}\right)^2}\right)^{1+\frac{3}{2}\tilde\delta}, \, \text{ if } \left|\frac{\eta}{k}\right|>\left|\frac{\xi}{k}\right| \end{cases}\\ & \lesssim\langle \eta-\xi\rangle^{2(1+\frac{3}{2}\tilde\delta)}. \end{align*}
  • • Case 2.1.2: $\frac {\xi }{k}>0, t> \frac {\xi }{k}$. In this case,

    (B.3)\begin{equation} \tilde m(t,k,\xi)\ge\left(\frac{k^2}{k^2+(\xi-kt)^2}\right)^{1+\frac{3}{2}\tilde{\delta}}. \end{equation}
    Therefore,
    \begin{align*} \frac{\tilde m(t, k,\eta)}{\tilde m(t, k, \xi)}\le \left(\left( 1+\left(\frac{\eta}{k} \right)^2 \right) \cdot \frac{1+\left(\frac{\xi}{k}-t \right)^2 }{1+\left(\frac{\eta}{k}-t \right)^2}\right)^ {1+\frac{3}{2}\tilde\delta} & \le \left(1+\left( \frac{\eta}{k}-\frac{\xi}{k}\right)^2 \right) ^ {1+\frac{3}{2}\tilde\delta}\nonumber\\ & \lesssim \langle \eta-\xi\rangle^{2(1+\frac{3}{2}\tilde\delta)}. \end{align*}
    where we have used $\frac {\eta }{k}<0<\frac {\xi }{k}< t$.

Case 2.2: $t>\frac {\eta }{k}+1000\nu ^{-\frac{1}{3}}$, and $\tilde m(t,k,\eta )=( \frac {k^2+\eta ^2}{k^2+(1000k\nu ^{-\frac{1}{3}})^2}) ^{1+\frac{3}{2}\tilde \delta }$.

  • • Case 2.2.1: $-1000\nu ^{-\frac{1}{3}}<\frac {\xi }{k}<0$. In this case,

    (B.4)\begin{equation} \tilde m(t,k,\xi)\ge\left(\frac{k^2+\xi^2}{k^2+(1000k\nu^{-\frac{1}{3}})^2}\right)^{1+\frac{3}{2}\tilde{\delta}}, \end{equation}
    Thus,
    \[ \frac{\tilde m(t, k,\eta)}{\tilde m(t,k,\xi)}\le\left(\frac{k^2+\eta^2}{k^2+\xi^2}\right)^{1+\frac{3}{2}\tilde{\delta}}\lesssim\langle\eta-\xi\rangle^{2(1+\frac{3}{2}\tilde\delta)}. \]
  • • Case 2.2.2: $\frac {\xi }{k}>0, t> \frac {\xi }{k}$. In this case,

    (B.5)\begin{equation} \tilde m(t,k,\xi)\ge\left(\frac{1}{1+(1000\nu^{-\frac{1}{3}})^2}\right)^{1+\frac{3}{2}\tilde{\delta}}, \end{equation}
    Thus,
    \[ \frac{\tilde m(t, k,\eta)}{\tilde m(t,k,\xi)}\le\left(1+\left( \frac{\eta}{k}\right)^2\right)^{1+\frac{3}{2}\tilde{\delta}}\le \left(1+\left( \frac{\eta}{k}-\frac{\xi}{k}\right) ^2\right)^{1+\frac{3}{2}\tilde{\delta}}\lesssim\langle\eta-\xi\rangle^{2(1+\frac{3}{2}\tilde\delta)}. \]

Case 3: $\frac {\eta }{k}> 0$.

Case 3.1: $\frac {\eta }{k}< t<\frac {\eta }{k}+1000\nu ^{-\frac {1}{3}}$, and $\tilde m(t,k,\eta )=( \frac {k^2}{k^2+(\eta -kt)^2}) ^{1+\frac{3}{2}\tilde \delta }$.

  • • Case 3.1.1: $-1000\nu ^{-\frac {1}{3}}<\frac {\xi }{k}<0.$ In this case, (B.2) holds. Therefore,

    \[ \frac{\tilde m(t, k,\eta)}{\tilde m(t,k,\xi)}\le\left( \frac{k^2}{k^2+\xi^2}\cdot \frac{k^2+(\xi-kt)^2}{k^2+(\eta-kt)^2}\right)^{1+\frac{3}{2}\tilde\delta} \lesssim\langle\eta-\xi\rangle^{2(1+\frac{3}{2}\tilde\delta)}. \]
  • • Case 3.1.2: $\frac {\xi }{k}>0$. Now (B.3) still holds. Thus,

    \[ \frac{\tilde m(t, k,\eta)}{\tilde m(t,k,\xi)}\le\left( \frac{k^2+(\xi-kt)^2}{k^2+(\eta-kt)^2}\right)^{1+\frac{3}{2}\tilde\delta} \lesssim\langle\eta-\xi\rangle^{2(1+\frac{3}{2}\tilde\delta)}. \]

Case 3.2: $t>\frac {\eta }{k}+1000\nu ^{-\frac{1}{3}},$ and $\tilde m(t,k,\eta )=( \frac {1}{1+(1000\nu ^{-\frac{1}{3}})^2}) ^{1+\frac{3}{2}\tilde \delta }$.

  • • Case 3.2.1:$-1000\nu ^{-\frac {1}{3}}<\frac {\xi }{k}<0$. Using (B.4), we have

    (B.6)\begin{equation} \frac{\tilde m(t, k,\eta)}{\tilde m(t,k,\xi)}\le1. \end{equation}
  • • Case 3.2.2: $\frac {\xi }{k}>0,$ In this case, In this case, (B.5) holds. Consequently, (B.6) holds as well.

The proof of lemma B.1 is completed.

Recalling the definition of $\tilde K$ in (4.2), using (B.1) and the following fact

(B.7)\begin{equation} |k,\eta-kt|\lesssim\langle \eta-\xi\rangle|k,\xi-kt|, \quad\mathrm{for}\quad k\ne0. \end{equation}

we get the following corollary immediately.

Corollary B.2 The multiplier $\tilde K$ satisfies

(B.8)\begin{equation} \tilde K(t, k, \eta)\lesssim \langle\eta-\xi\rangle^{N+(1+\frac{3}{2}\tilde \delta)}\tilde K(t, k, \xi). \end{equation}

In view of the definitions of $M_1$ and $M_2$ in (3.7) and (3.8), respectively, using (B.7) again, one easily derives the commutator estimates for $\sqrt {-\frac {\dot {M}_i}{M_i}}, i=1, 2$.

Lemma B.3 For $k \ne 0$ there hold

(B.9)\begin{equation} \sqrt{-\frac{\dot{M}_i(t, k, \eta)}{M_i(t,k,\eta)}}\lesssim \langle\eta-\xi\rangle\sqrt{-\frac{\dot{M}_i(t, k, \xi)}{M_i(t,k,\xi)}}, \quad\mathrm{for}\quad i=1,2, \end{equation}

Finally, the estimates of $\sqrt {-\frac {\partial _t(\tilde m^{1/2})}{\tilde m^{1/2}}}$ is given below.

Lemma B.4 For $k \ne 0$ there holds

(B.10)\begin{align} & \sqrt{-\frac{\partial_t(\tilde m^{1/2})(t, k, \eta)}{\tilde m^{1/2}(t,k,\eta)}}\tilde K(t, k,\eta)\nonumber\\ & \quad\lesssim\langle \eta-\xi\rangle^{N+(1+\frac{3}{2}\tilde\delta)+1}\left(\sqrt{-\frac{\partial_t(\tilde m^{1/2})(t, k, \xi)}{\tilde m^{1/2}(t,k,\xi)}}+\sqrt{\frac{1+\frac{3}{2}\tilde\delta}{1000^3}} \nu^\frac{1}{2}\left(k^2+(\xi-kt)^2\right)^\frac{1}{2}\right.\nonumber\\ & \quad\left.+\sqrt{1+\frac{3}{2}\tilde\delta}\sqrt{\frac{|k(\xi-kt)|}{k^2+(\xi-kt)^2}}{\bf 1}_{D_{dam}}\right)\tilde K(t, k,\xi)\nonumber\\ & \quad+\sqrt{1+\frac{3}{2}\tilde\delta}\langle \eta-\xi\rangle^{N+(1+\frac{3}{2}\tilde\delta)+\frac{3}{2}}\sqrt{-\frac{\dot{M}_1(t,k,\xi)}{M_1(t,k,\xi)}}\tilde K(t, k,\xi). \end{align}

Proof. Using (B.7), it is not difficult to verify that

(B.11)\begin{equation} \sqrt{\frac{|k(\eta-kt)|}{k^2+(\eta-kt)^2}}\lesssim\langle \eta-\xi\rangle^{\frac{3}{2}}\sqrt{\frac{|k|}{k^2+(\xi-kt)^2}}+\langle \eta-\xi\rangle\sqrt{\frac{|k(\xi-kt)|}{k^2+(\xi-kt)^2}}.\end{equation}

From the above inequality and (2.29) with $\eta$ replaced by $\xi$, we are let to

\begin{align*} & \sqrt{\frac{|k(\eta-kt)|}{k^2+(\eta-kt)^2}}\nonumber\\ & \quad\lesssim \langle \eta-\xi\rangle\Bigg(\sqrt{\frac{|k(\xi-kt)|}{k^2+(\xi-kt)^2}}{\bf 1}_{D_{dam}}+\sqrt{\frac{1}{1000^3}} \nu^\frac{1}{2}\left(k^2+(\xi-kt)^2\right)^\frac{1}{2}\nonumber\\ & \quad+\frac{1}{\sqrt{1+\frac{3}{2}\tilde\delta}}\sqrt{-\frac{\partial_t(\tilde m^{1/2})(t, k, \xi)}{\tilde m^{1/2}(t,k,\xi)}}\Bigg) +\langle \eta-\xi\rangle^\frac{3}{2}\sqrt{-\frac{\dot{M}_1(t,k,\xi)}{M_1(t,k,\xi)}}. \end{align*}

Combining this with (2.28) yields

(B.12)\begin{align} & \sqrt{-\frac{\partial_t(\tilde m^{1/2})(t, k, \eta)}{\tilde m^{1/2}(t,k,\eta)}}\nonumber\\ & \quad\lesssim \langle \eta-\xi\rangle\left(\sqrt{-\frac{\partial_t(\tilde m^{1/2})(t, k, \xi)}{\tilde m^{1/2}(t,k,\xi)}}+\sqrt{\frac{1+\frac{3}{2}\tilde\delta}{1000^3}} \nu^\frac{1}{2}\left(k^2+(\xi-kt)^2\right)^\frac{1}{2}\right.\nonumber\\ & \quad\left.+\sqrt{1+\frac{3}{2}\tilde\delta}\sqrt{\frac{|k(\xi-kt)|}{k^2+(\xi-kt)^2}}{\bf 1}_{D_{dam}}\right)+\sqrt{1+\frac{3}{2}\tilde\delta}\langle \eta-\xi\rangle^\frac{3}{2}\sqrt{-\frac{\dot{M}_1(t,k,\xi)}{M_1(t,k,\xi)}}. \end{align}

Then (B.10) is a consequence of (B.8) and (B.12). We complete the proof of lemma B.4.

Appendix C. Composition inequalities for the operator $\Lambda$ in $H^N$

Since $\Lambda$ is involved in the definition of $\Delta _t^{-1}$, recalling the relation (2.14), it is inevitable to deal with the composition $B_1\circ \Lambda$ for some multiplier $B_1$. Based on the commutator estimates of $B$, we establish the following composition inequality.

Lemma C.1 Let $l\in \mathbb {N}^+$, and $B_i, 1\le i\le l$ be Fourier multipliers, satisfying

(C.1)\begin{equation} |B_1(k,\eta)|\le \sum_{i=1}^lC_i \langle \eta-\xi\rangle^{\beta_i}|B_i(k,\xi)|, \end{equation}

for some constants $C_i>0$ and $\beta _i\ge 0, 1\le i\le l$. If $\|{a^2-1}\|_{L^\infty H^{N+\beta +1}}+\|{b}\|_{L^\infty H^{N+\beta +1}}\le \frac {\delta }{2}$ with $\beta =\max \left \{\beta _1,\cdots, \beta _l\right \}$, then we have

(C.2)\begin{equation} \|B_1 \Lambda f_{{\neq}}\|_{H^N}\le \frac{1}{1-C_1\delta} \|B_1 f_{{\neq}}\|_{H^N}+\frac{\delta}{1-C_1\delta}\sum_{i=2}^lC_i\|B_i\Lambda f_{{\neq}}\|_{H^N}. \end{equation}

Proof. We first write $\Delta _L$ in terms of $\Delta _t$

\[ \Delta_L=\Delta_t-(a^2-1)\partial_{YY}^L-b\partial_Y^L. \]

Then

(C.3)\begin{equation} \Lambda f_{{\neq}}=\Delta_L\Delta_t^{{-}1}f_{{\neq}}=f_{{\neq}}-(a^2-1)\partial^L_{YY}\Delta_t^{{-}1}f_{{\neq}}-b\partial_Y^L\Delta_t^{{-}1}f_{{\neq}}, \end{equation}

and thus

(C.4)\begin{align} & \|B_1 \Lambda f_{{\neq}}\|_{H^N}\nonumber\\ & \quad\le \|B_1f_{{\neq}}\|_{H^N}+\left\|B_1\left((a^2-1)\partial^L_{YY}\Delta_t^{{-}1}f_{{\neq}}\right)\right\|_{H^N}+\left\|B_1\left(b\partial_Y^L\Delta_t^{{-}1}f_{{\neq}}\right)\right\|_{H^N}. \end{align}

Thanks to (C.1), using Young's inequality for convolution, we find that

(C.5)\begin{align} & \left\|B_1\left((a^2-1)\partial^L_{YY}\Delta_t^{{-}1}f_{{\neq}}\right)\right\|_{H^N}\nonumber\\ & \quad=\left(\sum_{k\neq0}\int_\eta \left|\langle k,\eta\rangle^NB_1(k,\eta)\int_\xi(\widehat{a^2-1})(\eta-\xi)(\xi-kt)^2\widehat{\Delta_t^{{-}1}f_{{\neq}}}(k,\xi)d\xi\right|^2d\eta\right)^\frac{1}{2}\nonumber\\ & \quad\le \sum_{i=1}^lC_i\Bigg(\sum_{k\neq0}\int_\eta \Big(\int_\xi\langle\eta-\xi\rangle^{N+\beta}\widehat{|a^2-1|}(\eta-\xi)\nonumber\\ & \quad\quad\times\langle k,\xi\rangle^N|B_i(k,\xi)|\left(k^2+(\xi-kt)^2\right)\widehat{|\Delta_t^{{-}1}f_{{\neq}}|}(k,\xi)d\xi\Big)^2d\eta\Bigg)^\frac{1}{2}\nonumber\\ & \quad\le\sum_{i=1}^lC_i\|\langle\cdot\rangle^{N+\beta}\widehat{a^2-1}\|_{L^1_{\eta}}\|B_i\Lambda f_{{\neq}}\|_{H^N}, \end{align}

where we have used the fact $\Lambda =\Delta _L\Delta _t^{-1}$ in the last line above. Similarly, for $k\neq 0$, there holds

\[ |\xi-kt|\le|k(\xi-kt)|\le\frac{1}{2}\left(k^2+(\xi-kt)^2\right). \]

Thus, we have

(C.6)\begin{align} & \left\|B_1\left(b\partial_Y^L\Delta_t^{{-}1}f_{{\neq}}\right)\right\|_{H^N}\nonumber\\ & \quad=\left(\sum_{k\neq0}\int_\eta \left|\langle k,\eta\rangle^NB_1(k,\eta)\int_\xi\hat{b}(\eta-\xi)(\xi-kt)\widehat{\Delta_t^{{-}1}f_{{\neq}}}(k,\xi)d\xi\right|^2d\eta\right)^\frac{1}{2}\nonumber\\ & \quad\le\sum_{i=1}^lC_i\Bigg(\sum_{k\neq0}\int_\eta \Big(\int_\xi\langle\eta-\xi\rangle^{N+\beta}|\hat{b}|(\eta-\xi)\nonumber\\ & \qquad\times\langle k,\xi\rangle^N|B_i(k,\xi)|\left(k^2+(\xi-kt)^2\right)\widehat{|\Delta_t^{{-}1}f_{{\neq}}|}(k,\xi)d\xi\Big)^2d\eta\Bigg)^\frac{1}{2}\nonumber\\ & \quad\le\sum_{i=1}^lC_i\|\langle\cdot\rangle^{N+\beta}\hat{b}\|_{L^1_{\eta}}\|B_i\Lambda f_{{\neq}}\|_{H^N}. \end{align}

Substituting (C.5) and (C.6) into (C.4), and using the restriction on $a$ and $b$, we arrive at

\begin{align*} & \|B_1 \Lambda f_{{\neq}}\|_{H^N}\\ & \quad \le \|B_1f_{{\neq}}\|_{H^N}+\sum_{i=1}^lC_i\left(\|\langle\cdot\rangle^{N+\beta}\widehat{a^2-1}\|_{L^1_{\eta}}+\|\langle\cdot\rangle^{N+\beta}\hat{b}\|_{L^1_{\eta}}\right)\|B_i\Lambda f_{{\neq}}\|_{H^N}\nonumber\\ & \quad \le\|B_1f_{{\neq}}\|_{H^N}+\sqrt{\pi}\sum_{i=1}^lC_i\left(\|{a^2-1}\|_{L^\infty H^{N+\beta+1}}+\|{b}\|_{L^\infty H^{N+\beta+1}}\right)\|B_i\Lambda f_{{\neq}}\|_{H^N}\nonumber\\ & \quad \le\|B_1f_{{\neq}}\|_{H^N}+\sum_{i=1}^lC_i\delta\|B_i\Lambda f_{{\neq}}\|_{H^N}, \end{align*}

and hence (C.2) follows. This completes the proof of lemma C.1.

Corollary C.2 Let $B$ be Fourier multiplier satisfying

\[ |B(k,\eta)|\le C \langle \eta-\xi\rangle^{\beta}|B(k,\xi)|, \]

where $C$ and $\beta$ are two positive constants. If $\|{a^2-1}\|_{H^{N+\beta +2}}+\|{b}\|_{H^{N+\beta +2}}\le \frac {\delta }{2}$, then we have

(C.7)\begin{equation} \|B \tilde \Lambda f_{{\neq}}\|_{H^N}\le C\delta \|B f_{{\neq}}\|_{H^N}, \end{equation}

and

(C.8)\begin{equation} \|B \Lambda \tilde \Lambda^1_t\Lambda f_{{\neq}}\|_{H^N}\le\frac{C\delta}{(1-C\delta)^2}\left\|B\sqrt{-\frac{\dot M_1}{M_1}}f_{{\neq}}\right\|_{H^N}, \end{equation}

where $\tilde \Lambda$ and $\tilde \Lambda _t^1$ are given in (2.10) and (2.33), respectively.

Proof. Recalling the definition of $\tilde \Lambda$ in (2.10), following the proof of (C.5) and (C.6) with $\Delta _t^{-1}$ replaced by $(-\Delta _L)^{-1}$, we get (C.7) immediately. Now we turn to prove (C.8). In fact, using (2.33) and lemma C.1, we are led to

(C.9)\begin{align} \|B \Lambda\tilde\Lambda^1_t\Lambda f_{{\neq}}\|_{H^N}& \le \frac{1}{1-C\delta}\|B \tilde\Lambda^1_t\Lambda f_{{\neq}}\|_{H^N}\nonumber\\ & \le\frac{1}{1-C\delta}\Big(2\left\|B\left((a^2-1)S\Lambda f_{{\neq}}\right)\right\|_{H^N}\nonumber\\ & \quad+\left\|B\left(b\partial_X\Delta_L^{{-}1}\Lambda f_{{\neq}}\right)\right\|_{H^N}+2\left\|B\left(\tilde \Lambda S\Lambda f_{{\neq}}\right)\right\|_{H^N}\Big). \end{align}

In view of (3.16) and (3.29), similar to (C.5) and (C.6), and using the commutator estimate (B.9) and lemma C.1, we arrive at

\begin{align*} & \left\|B\left((a^2-1)S\Lambda f_{{\neq}}\right)\right\|_{H^N}+\left\|B\left(b\partial_X\Delta_L^{{-}1}\Lambda f_{{\neq}}\right)\right\|_{H^N}\nonumber\\ & \quad\le C\left\|\langle \eta-\xi\rangle^{N+\beta}\left(\widehat{(a^2-1)}+\hat{b}\right)\right\|_{L^1_\eta}\left\|B\sqrt{-\frac{\dot M_1}{M_1}}\Lambda f_{{\neq}}\right\|_{H^N}\nonumber\\ & \quad\le \frac{C\delta}{1-C\delta}\left\|B\sqrt{-\frac{\dot M_1}{M_1}}f_{{\neq}}\right\|_{H^N}. \end{align*}

Moreover, it follows from (C.7), (3.29), and lemma C.1 that

\[ \left\|B\left(\tilde \Lambda S\Lambda f_{{\neq}}\right)\right\|_{H^N}\le C\delta\left\|B \sqrt{-\frac{\dot M_1}{M_1}}\Lambda f_{{\neq}}\right\|_{H^N}\le\frac{C\delta}{1-C\delta}\left\|B\sqrt{-\frac{\dot M_1}{M_1}}f_{{\neq}}\right\|_{H^N}. \]

Substituting the above two inequalities into (C.9) yields (C.8). The proof is completed.

Acknowledgements

R. Zi is partially supported by NSF of China under Grants 12222105.

References

Antonelli, P., Dolce, M. and Marcati, P., Linear stability analysis for 2d shear flows near Couette in the isentropic compressible euler equations, preprint arXiv:2003.01694, (2020).Google Scholar
Bardos, C., Sulem, C. and Sulem, P.-L.. Longtime dynamics of a conductive fluid in the presence of a strong magnetic field. Trans. Am. Math. Soc. 305 (1988), 175191.Google Scholar
Bedrossian, J., Germain, P. and Masmoudi, N.. On the stability threshold for the 3D Couette flow in Sobolev regularity. Ann. Math. 185 (2017), 541608.Google Scholar
Bedrossian, J., Germain, P. and Masmoudi, N.. Dynamics near the subcritical transition of the 3D Couette flow I: Below threshold case. Mem. Amer. Math. Soc. 266 (2020), v+158.Google Scholar
Bedrossian, J., Germain, P. and Masmoudi, N.. Dynamics near the subcritical transition of the 3D Couette flow II: Above threshold case. Mem. Amer. Math. Soc. 279 (2022), 135.Google Scholar
Bedrossian, J. and Masmoudi, N.. Inviscid damping and the asymptotic stability of planar shear flows in the 2D Euler equations. Publ. Math. Inst. Hautes Études Sci. 122 (2015), 195300.CrossRefGoogle Scholar
Bedrossian, J., Masmoudi, N. and Vicol, V.. Enhanced dissipation and inviscid damping in the inviscid limit of the Navier–Stokes equations near the 2D Couette flow. Arch. Ration. Mech. Anal. 216 (2016), 10871159.Google Scholar
Bedrossian, J., Vicol, V. and Wang, F.. The Sobolev stability threshold for 2D shear flows near Couette. J. Nonlinear. Sci. 28 (2018), 20512075.CrossRefGoogle Scholar
Cai, Y. and Lei, Z.. Global well-posedness of the incompressible magnetohydrodynamics. Arch. Ration. Mech. Anal. 228 (2018), 969993.Google Scholar
Case, K. M.. Stability of inviscid plane Couette flow. Phys. Fluids 3 (1960), 143148.Google Scholar
Chandrasekhar, S.. The stability of viscous flow between rotating cylinders in the presence of a magnetic field. Proc. R. Soc. Lond. A Math. Phys. Eng. Sci. 216 (1953), 293309.Google Scholar
Chen, Q., Li, T., Wei, D. and Zhang, Z.. Transition threshold for the 2-D Couette flow in a finite channel. Arch. Ration. Mech. Anal. 238 (2020), 125183.CrossRefGoogle Scholar
Chen, X. and Morrison, P. J.. A sufficient condition for the ideal instability of shear flow with parallel magnetic field. Physics of Fluids B: Plasma Phys. 3 (1991), 863865.Google Scholar
Chen, Q., Wei, D. Y. and Zhang, Z., Transition threshold for the 3D Couette flow in a finite channel. arXiv:2006.00721 (2020).Google Scholar
Chen, Q., Wei, D. and Zhang, Z.. Linear inviscid damping and enhanced dissipation for monotone shear flows. Comm. Math. Phys. 400 (2023), 215276.Google Scholar
Chen, Q., Wei, D., Zhang, P. and Zhang, Z., Nonlinear inviscid damping for 2-D inhomogeneous incompressible Euler equations, arXiv:2303.14858 (2023).Google Scholar
Davidson, P. A., An Introduction to Magnetohydrodynamics, Cambridge Texts in Applied Mathematics (Cambridge University Press, Cambridge, 2001).Google Scholar
Deng, Y. and Masmoudi, N., Long-time instability of the couette flow in low gevrey spaces. Comm. Pure Appl. Math. 2023).Google Scholar
He, L., Xu, L., Li, and Yu, P.. On global dynamics of three dimensional magnetohydrodynamics: nonlinear stability of Alfvén waves. Ann. PDE 4 (2018), 105.Google Scholar
Hirota, M., Tatsuno, T. and Yoshida, Z.. Resonance between continuous spectra: secular behavior of Alfvén waves in a flowing plasma. Phys. Plasmas 12 (2005), 012107.CrossRefGoogle Scholar
Inci, H., Kappeler, T. and Topalov, P.. On the regularity of the composition of diffeomorphism. Mem. Amer. Math. Soc. 226 (2013), 164.Google Scholar
Ionescu, A. D. and Jia, H.. Inviscid damping near the Couette flow in a channel. Comm. Math. Phys. 374 (2020), 20152096.Google Scholar
Ionescu, A. D. and Jia, H., Nonlinear inviscid damping near monotonic shear flows. arXiv:2001.03087, 2020, to appear in Acta Math.Google Scholar
Ionescu, A. D., Iyer, S. and Jia, H., Linear inviscid damping and vorticity depletion for non-monotonic shear flows. arXiv:2301.00288 (2023).Google Scholar
Jia, H.. Linear inviscid damping in Gevrey spaces. Arch. Ration. Mech. Anal. 235 (2020), 13271355.Google Scholar
Jia, H.. Linear inviscid damping near monotone shear flows. SIAM J. Math. Anal. 52 (2020), 623652.Google Scholar
Kelvin, L.. Stability of fluid motion-rectilinear motion of viscous fluid between two parallel plates. Philos Mag. 24 (1887), 188.Google Scholar
Knobel, N. and Zillinger, C.. On echoes in magnetohydrodynamics with magnetic dissipation. arXiv:2301.06935 (2023).Google Scholar
Li, H., Masmoudi, N. and Zhao, W., Asymptotic stability of two-dimensional Couette flow in a viscous fluid, arXiv:2208.14898v1 (2022).Google Scholar
Lifschitz, A.. Magnetohydrodynamics and Spectral Theory (Kluwer Academic Publishers, Dordrecht, 1989).Google Scholar
Liss, K.. On the Sobolev stability threshold of 3D Couette flow in a uniform magnetic field. Commun. Math. Phys. 377 (2020), 859908.Google Scholar
Liu, H., Masmoudi, N., Zhai, C. and Zhao, W.. Linear damping and depletion in flowing plasma with strong sheared magnetic fields. J. Math. Pures Appl. 158 (2022), 141.Google Scholar
Masmoudi, N. and Zhao, W.. Nonlinear inviscid damping for a class of monotone shear flows in finite channel. arXiv preprint arXiv: 2001. 08564 (2020).Google Scholar
Masmoudi, N. and Zhao, W.. Stability threshold of the 2D Couette flow in Sobolev spaces. Ann. Inst. H. Poincaré C Anal. Non Linéaire 39 (2022), 245325.Google Scholar
Orr, W.. The stability or instability of steady motions of a perfect liquid and of a viscous liquid, Part I: a perfect liquid. Proc. R. Ir. Acad., A Math. Phys. Sci. 27 (1907), 968.Google Scholar
Reynolds, O.. An experimental investigation of the circumstances which determine whether the motion of water shall be direct or sinuous, and of the law of resistance in parallel channels. Proc. R. Soc. Lond. 35 (1883), 84.Google Scholar
Ren, S., Wei, D. and Zhang, Z.. Long time behavior of Alfvén waves in flowing plasma: the destruction of magnetic island. SIAM J. Math. Anal. 53 (2021), 55485579.Google Scholar
Ren, S. and Zhao, W.. Linear damping of Alfvén waves by phase mixing. SIAM J. Math. Anal. 49 (2017), 21012137.Google Scholar
Schmid, P. J. and Henningson, D. S.. Stability and Transition in Shear Flows, Vol. 142 (Berlin: Springer, 2001).Google Scholar
Shivamoggi, B. K. and Debnath, L.. Stability of magnetohydrodynamic stratified shear flows. Acta Mech. 68 (1987), 3342.Google Scholar
Tataronis, J. and Grossmann, W.. Decay of MHD wave by phase mixing I. The sheet-pinch in plane geometry. Z. Physik 261 (1973), 203216.Google Scholar
Velikhov, E. P.. Stability of an ideally conducting liquid flowing between rotating cylinders in a magnetic field, Zhur. Eksptl. i Teoret. Fiz. 36 (1959), 13981404. (Russian); translated as Soviet Physics JETP, 9(1959), 995–998.Google Scholar
Wei, D. and Zhang, Z.. Global well-posedness of the MHD equations in a homogeneous magnetic field. Anal. PDE 10 (2017), 13611406.Google Scholar
Wei, D. and Zhang, Z.. Transition threshold for the 3D Couette flow in Sobolev space. Comm. Pure Appl. Math. 74 (2021), 23982479.Google Scholar
Wei, D., Zhang, Z. and Zhao, W.. Linear inviscid damping for a class of monotone shear flow in Sobolev spaces. Comm. Pure Appl. Math. 71 (2018), 617687.Google Scholar
Wei, D., Zhang, Z. and Zhao, W.. Linear inviscid damping and vorticity depletion for shear flows. Ann. PDE 5 (2019), 101.Google Scholar
Wei, D., Zhang, Z. and Zhao, W.. Linear inviscid damping and enhanced dissipation for the Kolmogorov flow. Adv. Math. 362 (2020), 106963.Google Scholar
Yaglom, A. M.. Hydrodynamic Instability and Transition to Turbulence, Vol. 100 (Berlin: Springer, 2012).CrossRefGoogle Scholar
Zhai, C., Zhang, Z. and Zhao, W.. Long-time behavior of Alfvén waves in a flowing plasma: generation of the magnetic island. Arch. Ration. Mech. Anal. 242 (2021), 13171394.Google Scholar
Zhang, Z. and Zi, R.. Stability threshold of Couette flow for 2D Boussinesq equations in Sobolev spaces. J. Math. Pures Appl. 179 (2023), 123182.Google Scholar
Zhao, W.. Inviscid damping of monotone shear flows for 2D inhomogeneous Euler equation with non-constant density in a finite channel. arXiv:2304.09841 (2023).Google Scholar
Zillinger, C.. Linear inviscid damping for monotone shear flows. Trans. Amer. Math. Soc. 369 (2017), 87998855.Google Scholar