Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-10T10:17:09.558Z Has data issue: false hasContentIssue false

Stabilization in a chemotaxis system modelling T-cell dynamics with simultaneous production and consumption of signals

Published online by Cambridge University Press:  18 September 2024

Youshan Tao*
Affiliation:
School of Mathematical Sciences, CMA-Shanghai, Shanghai Jiao Tong University, Shanghai, P.R. China
Michael Winkler
Affiliation:
Institut für Mathematik, Universität Paderborn, Paderborn, Germany
*
Corresponding author: Youshan Tao; Email: taoys@sjtu.edu.cn
Rights & Permissions [Opens in a new window]

Abstract

In a smoothly bounded domain $\Omega \subset \mathbb{R}^n$, $n\ge 1$, this manuscript considers the homogeneous Neumann boundary problem for the chemotaxis system

\begin{eqnarray*} \left \{ \begin{array}{l} u_t = \Delta u - \nabla \cdot (u\nabla v), \\[5pt] v_t = \Delta v + u - \alpha uv, \end{array} \right . \end{eqnarray*}
with parameter $\alpha \gt 0$ and with coincident production and uptake of attractants, as recently emphasized by Dallaston et al. as relevant for the understanding of T-cell dynamics.

It is shown that there exists $\delta _\star =\delta _\star (n)\gt 0$ such that for any given $\alpha \ge \frac{1}{\delta _\star }$ and for any suitably regular initial data satisfying $v(\cdot, 0)\le \delta _\star$, this problem admits a unique classical solution that stabilizes to the constant equilibrium $(\frac{1}{|\Omega |}\int _\Omega u(\cdot, 0), \, \frac{1}{\alpha })$ in the large time limit.

Type
Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press

1. Introduction

The classical Keller-Segel chemotaxis model ([Reference Keller and Segel13]),

(1.1) \begin{equation} \left \{ \begin{array}{l} u_t = \Delta u - \nabla \cdot (u\nabla v), \\[5pt] v_t = \Delta v + u - \beta v, \end{array} \right . \end{equation}

was originally proposed for the description of slime mould aggregation as a typical process in which cells move upward gradients of a chemoattractant secreted by themselves; in such contexts, $u$ and $v$ denote the respective population densities and signal concentrations. Due to the presence of the chemotactic cross-diffusion term $-\nabla \cdot (u \nabla v)$ , this system exhibits a striking feature of destabilization, as analytically captured by results concerning the occurrence of exploding solutions in two- and higher-dimensional settings ([Reference Herrero and Velázquez6, Reference Winkler26]). Although partially understood less comprehensively from a mathematical point of view, numerous variants of the prototypical chemotaxis-production system (1.1) arise in various biological application contexts ([Reference Hillen and Painter7, Reference Painter17]).

In cases in which, in contrast to the above type of situations, taxis-type movement is directed by a signal which is absorbed upon contact, modelling rather relies on chemotaxis-consumption models such as

(1.2) \begin{equation} \left \{ \begin{array}{l} u_t = \Delta u - \nabla \cdot (u\nabla v), \\[5pt] v_t = \Delta v -u v; \end{array} \right . \end{equation}

typical examples include the motion of Escherichia coli or of Bacillus subtilis towards sources of nutrient and oxygen ([Reference Dombrowski, Cisneros, Chatkaew, Goldstein and Kessler3, Reference Keller and Segel14, Reference Tuval, Cisneros, Dombrowski, Wolgemuth, Kessler and Goldstein24]). Moreover, such nutrient taxis mechanisms actually play a key role in predator-prey interactions in which predators adjust their migration towards areas of higher prey density ([Reference Jin and Wang11, Reference Kareiva and Odell12, Reference Tello and Wrzosek23, Reference Wu, Shi and Wu28). In comparison to the chemotaxis-production system (1.1), the dissipative property of the signal consumption mechanism in the nutrient taxis system (1.2) prevents blow-up to some extent. Indeed, this is reflected in results on global existence of classical solutions in two-dimensional boundary value problems ([Reference Tao and Winkler20]); in three-dimensional analogues, after all, some global weak solutions with properties of eventual smoothness and stabilization could be constructed ([Reference Tao and Winkler20]). Here, it might be worth further mentioning that when the diffusion $\Delta u$ in (1.2) is replaced by any slightly enhanced diffusion $\nabla \cdot (D(u)\nabla u)$ with $D$ satisfying $D(u)\to + \infty$ as $u\to \infty$ , the corresponding no-flux initial boundary problem admits globally bounded solutions also in such three-dimensional settings ([Reference Jin10, Reference Winkler27]).

A chemotaxis model with synchronous production and consumption of signals. The immune system protects us from the development of inflammatory diseases, and its establishment and maintenance rely heavily on T-cells which are responsible for recognizing and destroying pathogens that have been infected by viruses. The movement of T-cells within inflamed tissues is driven and controlled by the distribution of chemotactic signalling agents that are chemokines secreted by effector T-cells ([Reference Dallaston, Birtles, Araujo and Jenner2, Reference Fowell and Kim4, Reference Griffith5]). However, unlike the signal mechanisms in (1.1) or (1.2), the effector T-cells do not only produce the chemokine but also absorb this attractant ([Reference Dallaston, Birtles, Araujo and Jenner2]). In order to capture some essential features of a chemotaxis system with concurrent production and consumption of signals, by neglecting the regulatory T-cell population, we shall here focus on a minimal model for T-cell dynamics recently developed by Dallaston et al. in [Reference Dallaston, Birtles, Araujo and Jenner2], and we shall subsequently consider the no-flux initial boundary problem

(1.3) \begin{equation} \left \{ \begin{array}{l@{\quad}l} u_t = \Delta u - \nabla \cdot (u\nabla v), \qquad & x\in \Omega, \ t\gt 0, \\[1mm] v_t = \Delta v + u - \alpha uv, \qquad & x\in \Omega, \ t\gt 0, \\[1mm] \dfrac{\partial u}{\partial \nu }=\dfrac{\partial v}{\partial \nu }=0, \qquad & x\in \partial \Omega, \ t\gt 0, \\[1.8mm] u(x,0)=u_0(x), \quad v(x,0)=v_0(x), \qquad & x\in \Omega, \end{array} \right . \end{equation}

where $\alpha \gt 0$ is a given parameter.

To underline associated challenges, let us recall that essential parts of the literature both on (1.1) and on (1.2) have relied on favourable global structures of both these simple systems ([Reference Nagai, Senba and Yoshida16, Reference Tao and Winkler20, Reference Winkler26]): Sufficiently regular trajectories of the chemotaxis-production system (1.1) are subject to the energy identity

(1.4) \begin{equation} \frac{d}{dt} \bigg \{ \frac{1}{2} \int _\Omega |\nabla v|^2 + \frac{1}{2} \int _\Omega v^2 - \int _\Omega uv + \int _\Omega u\ln u \bigg \} + \int _\Omega v_t^2 + \int _\Omega \Big | \frac{\nabla u}{\sqrt{u}} -\sqrt{u}\nabla v\Big |^2 =0, \end{equation}

while smooth solutions of (1.2) in convex domains $\Omega$ satisfy the inequality

(1.5) \begin{equation} \frac{d}{dt}\bigg \{ 2\int _\Omega |\nabla \sqrt{v}|^2 + \int _\Omega u\ln u \bigg \} + \int _\Omega \frac{|\nabla u|^2}{u} +\int _\Omega v|D^2\ln v|^2 +\frac{1}{2}\int _\Omega u\frac{|\nabla v|^2}{v}\le 0 \end{equation}

throughout evolution. In the simultaneous presence of both production and consumption of signal such as in (1.3), however, none of these structural features appear to persist in any generalized nor weakened form.

Main results. In order to nevertheless describe some dynamical features of (1.3) in comparison to those observed for (1.1) and (1.2), in the present manuscript, we shall build an analysis of (1.3) on tracing the evolution of functionals of the form

\begin{eqnarray*} \int _\Omega u^p \varphi (v), \end{eqnarray*}

with the weight functions

\begin{eqnarray*} \varphi (s)\;:\!=\;(\delta -s)^{-\kappa }-As, \qquad s\in [0, \delta _0], \end{eqnarray*}

depending on $p\gt 1$ through appropriate choices of the parameters $\kappa =\kappa (p)\gt 0, \delta =\delta (p)\gt 0, A=A(p)\gt 0$ and $\delta _0=\delta _0(p)\in (0, \delta )$ (see Lemma 2.4 below for details). In domains of arbitrary dimension and for initial data which are suitably small with respect to their second component, through accordingly obtained a priori estimates we shall thereby discover that regardless of the size in the corresponding first component and hence in stark contrast to (1.1), blow-up can entirely be ruled out and that solutions asymptotically behave in an essentially diffusion-dominated manner:

Theorem 1.1. Let $n\ge 1$ . Then there exists $\delta _\star =\delta _\star (n)\gt 0$ with the property that whenever $\Omega \subset \mathbb{R}^n$ is a bounded domain with smooth boundary, given an arbitrary $\alpha \ge \frac{1}{\delta _\star }$ and any initial data $(u_0,v_0)$ which are such that

(1.6) \begin{equation} \left \{ \begin{array}{l} u_0\in C^0(\overline{\Omega }) \mbox{ is nonnegative with } u_0\not \equiv 0 \qquad \mbox{and} \\[1mm] v_0 \in W^{1,\infty }(\Omega ) \mbox{ is nonnegative,} \end{array} \right . \end{equation}

and such that

(1.7) \begin{equation} v_0(x) \le \delta _\star \qquad \mbox{for all } x\in \Omega, \end{equation}

one can find a uniquely determined pair of nonnegative functions

(1.8) \begin{equation} \left \{ \begin{array}{l} u\in C^0(\overline{\Omega }\times [0,\infty )) \cap C^{2,1}(\overline{\Omega }\times (0,\infty )) \qquad \mbox{and} \\[1mm] v \in \bigcap _{q\gt n} C^0([0,\infty );\; W^{1,q}(\Omega )) \cap C^{2,1}(\overline{\Omega }\times (0,\infty )) \end{array} \right . \end{equation}

such that $(u,v)$ solves ( 1.3 ) in the classical sense. Moreover,

(1.9) \begin{equation} u(\cdot,t) \to \frac{1}{|\Omega |} \int _\Omega u_0 \qquad \mbox{in } L^\infty (\Omega ) \end{equation}

and

(1.10) \begin{equation} v(\cdot,t) \to \frac{1}{\alpha } \qquad \mbox{in } L^\infty (\Omega ) \end{equation}

as $t\to \infty$ .

In order to further underline the strongly smoothing effect of the absorptive action induced by the choice $\alpha \gt 0$ in (1.3), let us state the following simple consequence of known results for the planar version of (1.2) on solutions to (1.3) for which the initial signal concentration is, unlike the situation covered by Theorem 1.1, conveniently large throughout the domain:

Proposition 1.2. Let $\Omega \subset \mathbb{R}^2$ be a bounded domain with smooth boundary, let $\alpha \gt 0$ , and assume that ( 1.6 ) holds with

(1.11) \begin{equation} v_0(x)\gt \frac{1}{\alpha } \qquad \mbox{for all } x\in \overline{\Omega }. \end{equation}

Then ( 1.3 ) admits a unique global classical solution within the class of functions specified in ( 1.8 ), and furthermore, this solution satisfies ( 1.9 ) and ( 1.10 ).

As a simple consequence of this result, we can finally make sure that for some suitably chosen initial data, the behaviour in (1.3) for appropriately large $\alpha \gt 0$ drastically differs from that seen for $\alpha =0$ :

Corollary 1.3. Let $R\gt 0$ and $\Omega =B_R(0)\subset \mathbb{R}^2$ . Then there exist radially symmetric functions $u_0$ and $v_0$ which satisfy ( 1.6 ) and which are such that for $\alpha =0$ , the problem ( 1.3 ) admits a solution blowing up in finite time, while for sufficiently large $\alpha \gt 0$ , a global classical solution fulfilling ( 1.9 ) and ( 1.10 ) can be found. More precisely, for these data, there exist $T_{max}\in (0,\infty )$ ,

(1.12) \begin{equation} \left \{ \begin{array}{l} u^{(0)}\in C^0(\overline{\Omega }\times [0,T_{max})) \cap C^{2,1}(\overline{\Omega }\times (0,T_{max})) \qquad \mbox{and} \\[1mm] v^{(0)}\in \bigcap _{q\gt n} C^0([0,T_{max});\; W^{1,q}(\Omega )) \cap C^{2,1}(\overline{\Omega }\times (0,T_{max})) \end{array} \right . \end{equation}

as well as $\alpha _0\gt 0$ and

(1.13) \begin{equation} \left \{ \begin{array}{l} (u^{(\alpha )})_{\alpha \gt \alpha _0} \subset C^0(\overline{\Omega }\times [0,\infty )) \cap C^{2,1}(\overline{\Omega }\times (0,\infty )) \qquad \mbox{and} \\[1mm] (v^{(\alpha )})_{\alpha \gt \alpha _0} \subset \bigcap _{q\gt n} C^0([0,\infty );\;W^{1,q}(\Omega )) \cap C^{2,1}(\overline{\Omega }\times (0,\infty )) \end{array} \right . \end{equation}

such that $u^{(\alpha )}\ge 0$ and $v^{(\alpha )}\ge 0$ for all $\alpha \in \{0\} \cup (\alpha _0,\infty )$ , that $(u^{(0)},v^{(0)})$ solves ( 1.3 ) in $\Omega \times (0,T_{\max})$ for $\alpha =0$ , with

(1.14) \begin{equation} \limsup _{t\nearrow T_{\max}} \|u^{(0)}(\cdot,t)\|_{L^\infty (\Omega )}=\infty, \end{equation}

and that for each $\alpha \gt \alpha _0$ , the pair $(u^{(\alpha )}, v^{(\alpha )})$ is a global classical solution of ( 1.3 ) satisfying

(1.15) \begin{equation} u^{(\alpha )}(\cdot,t) \to \frac{1}{|\Omega |} \int _\Omega u_0 \quad \mbox{and} \quad v^{(\alpha )}(\cdot,t)\to \frac{1}{\alpha } \qquad \mbox{in } L^\infty (\Omega ) \end{equation}

as $t\to \infty$ .

2. Global existence

The following statement on local existence and extensibility can be obtained by straightforward adaptation of standard arguments, as detailed for a closely related setting in [Reference Horstmann and Winkler8].

Lemma 2.1. Let $\alpha \gt 0$ , and assume ( 1.6 ). Then there exist $T_{\max}\in (0,\infty ]$ and uniquely determined nonnegative functions

(2.1) \begin{equation} \left \{ \begin{array}{l} u\in C^0(\overline{\Omega }\times [0,T_{max})) \cap C^{2,1}(\overline{\Omega }\times (0,T_{max})) \qquad \mbox{and} \\[1mm] v \in \bigcap _{q\gt n} C^0([0,T_{max});\;W^{1,q}(\Omega )) \cap C^{2,1}(\overline{\Omega }\times (0,T_{max})) \end{array} \right . \end{equation}

such that ( 1.3 ) is satisfied in the classical sense in $\Omega \times (0,T_{max})$ , that

(2.2) \begin{equation} \int _\Omega u(\cdot,t) = \int _\Omega u_0 \qquad \mbox{for all } t\in (0,T_{max}), \end{equation}

and that

(2.3) \begin{eqnarray} & & \mbox{if}\;\, T_{max}\lt \infty, \qquad \text{ then } \nonumber \\[5pt] & & \limsup _{t\nearrow T_{max}} \Big \{ \|u(\cdot,t)\|_{L^\infty (\Omega )} + \|v(\cdot,t)\|_{W^{1,\infty }(\Omega )} \Big \} = \infty . \end{eqnarray}

A sharpening of the above extensibility criterion (2.3) has been achieved in [Reference Bellomo, Bellouquid, Tao and Winkler1, Lemma 3.2] in a problem framework actually more general than that of (1.3).

Lemma 2.2. If $\alpha \gt 0$ and ( 1.6 ) holds, and if for some $p\ge 1$ fulfilling $p\gt \frac{n}{2}$ , we have

\begin{eqnarray*} \sup _{t\in (0,T_{max})} \|u(\cdot,t)\|_{L^p(\Omega )} \lt \infty, \end{eqnarray*}

then $T_{max}=\infty$ , and there exists $C\gt 0$ such that

\begin{eqnarray*} \|u(\cdot,t)\|_{L^\infty (\Omega )} \le C \qquad \mbox{for all } t\gt 0. \end{eqnarray*}

Now the presence of the consumption term $-uv$ in the second equation from (1.3) implies a basic but important a priori information on $L^\infty$ bounds for $v$ .

Lemma 2.3. Let $\alpha \gt 0$ , and assume ( 1.6 ). Then

(2.4) \begin{equation} \|v(\cdot,t)\|_{L^\infty (\Omega )} \le\; \textit{max} \Big \{ \|v_0\|_{L^\infty (\Omega )} \,, \, \frac{1}{\alpha } \Big \} \qquad \mbox{for all } t\in (0,T_{max}). \end{equation}

Proof. Since for $\overline{v}(x,t)\;:\!=\;\mapsto \;\textit{max} \Big \{ \|v_0\|_{L^\infty (\Omega )} \,, \, \frac{1}{\alpha } \Big \}$ , $(x,t)\in \overline{\Omega }\times [0,\infty )$ , we have

\begin{eqnarray*} \overline{v}_t - \Delta \overline{v} - u(x,t) + \alpha u(x,t) \overline{v} = u(x,t) \cdot (\alpha \overline{v} - 1) \ge 0 \qquad \mbox{in } \Omega \times (0,T_{\max}) \end{eqnarray*}

according to the inequality $\overline{v}\ge \frac{1}{\alpha }$ , and since moreover $\overline{v}(\cdot,0)\ge v(\cdot,0)$ in $\Omega$ due to the fact that $\overline{v}\ge \|v_0\|_{L^\infty (\Omega )}$ , this immediately results from the comparison principle.

In view of Lemma 2.2, global existence is a consequence of an a priori estimate on $\int _\Omega u^p(\cdot, t)$ , $t\in (0, T_{\max})$ , with some $p\gt \max \{1, \, \frac{n}{2}\}$ . This will be achieved in Lemma 2.5 below through analysing the evolution undergone by coupled functionals of the form $\int _\Omega u^p\varphi (v)$ with suitable weight functions $\varphi =\varphi (v)$ which enjoy suitable pointwise bounds from below. In comparison to previous related studies in which similar approaches have been pursued (cf., e.g., [Reference Tao19, Reference Tao and Winkler20] and [Reference Winkler25]), the simultaneous presence of production and consumption of attractants requires a more complex design of these weight functions. We therefore separately address this in the following elementary but crucial lemma.

Lemma 2.4. Let $p\gt 1$ . Then there exist $\kappa =\kappa (p)\gt 0$ , $\delta =\delta (p)\gt 0$ , $A=A(p)\gt 0$ and $\delta _0=\delta _0(p)\in (0,\delta )$ such that letting

(2.5) \begin{equation} \varphi (s)\equiv \varphi ^{(p)}(s) \;:\!=\; (\delta -s)^{-\kappa } - As, \qquad s\in [0,\delta _0], \end{equation}

defines a function $\varphi \in C^\infty ([0,\delta _0])$ which satisfies

(2.6) \begin{equation} \varphi (s)\gt 0 \qquad \mbox{for all } s\in [0,\delta _0] \end{equation}

and

(2.7) \begin{equation} \varphi '(s)\lt 0 \qquad \mbox{for all } s\in [0,\delta _0] \end{equation}

as well as

(2.8) \begin{equation} 4p \varphi '^2(s) + p(p-1)^2 \varphi ^2(s) \lt 4(p-1) \varphi (s) \varphi ''(s) \qquad \mbox{for all } s\in [0,\delta _0]. \end{equation}

Proof. We abbreviate $\xi _0\;:\!=\;\frac{1}{40}$ and $a\;:\!=\;8$ , and given $p\gt 1$ , we fix $\kappa =\kappa (p)\in (0,1]$ small enough such that

(2.9) \begin{equation} \frac{65p\kappa }{(p-1)(\kappa +1)} \lt \frac{1}{4} \end{equation}

and

(2.10) \begin{equation} \frac{p(p-1)a^2 \kappa }{4(\kappa +1)} \lt \frac{1}{4} \end{equation}

as well as

(2.11) \begin{equation} a\kappa \lt \frac{1}{4}. \end{equation}

Furthermore, choosing $\delta =\delta (p)\in (0,1]$ in such a way that

(2.12) \begin{equation} \frac{p(p-1)}{4\kappa (\kappa +1)} \cdot \delta ^2 \lt \frac{1}{4}, \end{equation}

we set

(2.13) \begin{equation} A\equiv A(p)\;:\!=\;a\kappa \delta ^{-\kappa -1} \end{equation}

as well as

(2.14) \begin{equation} \delta _0\equiv \delta _0(p)\;:\!=\;\xi _0 \delta, \end{equation}

and let $\varphi$ be as defined through (2.5). Then since $\delta _0\equiv \frac{\delta }{40}\lt \delta$ , it is evident that $\varphi \in C^\infty ([0,\delta _0])$ , and computing

(2.15) \begin{equation} \varphi '(s)=\kappa (\delta -s)^{-\kappa -1} - A, \qquad s\in [0,\delta _0], \end{equation}

and

(2.16) \begin{equation} \varphi ''(s) = \kappa (\kappa +1)(\delta -s)^{-\kappa -2}, \qquad s\in [0,\delta _0], \end{equation}

we see that according to (2.14) and (2.13),

\begin{eqnarray*} \varphi '(s) \le \varphi '(\delta _0) &=& \kappa (\delta -\delta _0)^{-\kappa -1} - A \\[5pt] &=& \kappa (1-\xi _0)^{-\kappa -1} \delta ^{-\kappa -1} - a\kappa \delta ^{-\kappa -1} \\[5pt] &=& \kappa \delta ^{-\kappa -1} \cdot \Big \{ (1-\xi _0)^{-\kappa -1} - a \Big \} \\[2mm] &\lt & 0 \qquad \mbox{for all } s\in [0,\delta _0], \end{eqnarray*}

because the inequalities $\xi _0\le \frac{1}{2}$ and $\kappa \le 1$ ensure that

\begin{eqnarray*} (1 - \xi _0)^{-\kappa -1} \le 2^{\kappa +1} \le 2^2\lt 8=a. \end{eqnarray*}

As thus (2.7) holds, we particularly obtain (2.6) as a consequence thereof, observing that, again by (2.14) and (2.13),

\begin{eqnarray*} \varphi (s) \ge \varphi (\delta _0) &=& (\delta -\delta _0)^{-\kappa } - A\delta _0 \\[5pt] &=& (1-\xi _0)^{-\kappa } \delta ^{-\kappa } - a\kappa \xi _0 \delta ^{-\kappa } \\[5pt] &=& \delta ^{-\kappa } \cdot \Big \{ (1-\xi _0)^{-\kappa }-a\kappa \xi _0\Big \} \qquad \mbox{for all } s\in [0,\delta _0], \end{eqnarray*}

and that here

\begin{eqnarray*} (1-\xi _0)^{-\kappa } - a\kappa \xi _0 \ge 1-a\kappa \xi _0 = 1 - \frac{\kappa }{5}\gt 0 \end{eqnarray*}

due to the restriction that $\kappa \le 1$ .

To finally verify (2.8), we first note that by (2.5), (2.15) and (2.16),

(2.17) \begin{eqnarray} & & 4p\varphi '^2(s) + p(p-1)^2 \varphi ^2(s) - 4(p-1) \varphi (s)\varphi ''(s) \nonumber \\[5pt] &=& 4p\cdot \Big \{ \kappa (\delta -s)^{-\kappa -1} - A\Big \}^2 + p(p-1)^2 \cdot \Big \{ (\delta -s)^{-\kappa } -As\Big \}^2 \nonumber \\[5pt] & & - 4(p-1)\cdot \Big \{ (\delta -s)^{-\kappa } -As\Big \} \cdot \kappa (\kappa +1) (\delta -s)^{-\kappa -2} \nonumber \\[5pt] &=& 4p\kappa ^2 (\delta -s)^{-2\kappa -2} - 8p\kappa A (\delta -s)^{-\kappa -1} + 4pA^2 \nonumber \\[5pt] & & + p(p-1)^2 (\delta -s)^{-2\kappa } - 2p(p-1)^2 As (\delta -s)^{-\kappa } + p(p-1)^2 A^2 s^2 \nonumber \\[5pt] & & - 4(p-1)\kappa (\kappa +1) (\delta -s)^{-2\kappa -2} + 4(p-1) \kappa (\kappa +1) As (\delta -s)^{-\kappa -2} \nonumber \\[2mm] &\le & I_1(s)+I_2+I_3(s)+I_4(s)+I_5(s)-J(s) \qquad \mbox{for all } s\in [0,\delta _0], \end{eqnarray}

where

\begin{eqnarray*} I_1(s)\;:\!=\;4p\kappa ^2(\delta -s)^{-2\kappa -2} \end{eqnarray*}

and

\begin{eqnarray*} I_2\;:\!=\;4pA^2 \end{eqnarray*}

and

\begin{eqnarray*} I_3(s)\;:\!=\;p(p-1)^2 (\delta -s)^{-2\kappa } \end{eqnarray*}

as well as

\begin{eqnarray*} I_4(s)\;:\!=\;p(p-1)^2 A^2 s^2 \end{eqnarray*}

and

\begin{eqnarray*} I_5(s)\;:\!=\;4(p-1)\kappa (\kappa +1) As (\delta -s)^{-\kappa -2} \end{eqnarray*}

and

\begin{eqnarray*} J(s)\;:\!=\;4(p-1)\kappa (\kappa +1) (\delta -s)^{-2\kappa -2} \end{eqnarray*}

for $s\in [0,\delta _0]$ . Here, once more recalling (2.13) and our definition of $a$ , we can rely on (2.9) to estimate

(2.18) \begin{eqnarray} \frac{I_1(s)+I_2}{J(s)} &=& \frac{4p\kappa ^2 (\delta -s)^{-2\kappa -2} + 4p a^2 \kappa ^2 \delta ^{-2\kappa -2}}{4(p-1)\kappa (\kappa +1) (\delta -s)^{-2\kappa -2}} \nonumber \\[5pt] &=& \frac{p\kappa + 64p\kappa (\delta -s)^{2\kappa +2} \delta ^{-2\kappa -2}}{(p-1)(\kappa +1)} \nonumber \\[5pt] &\le & \frac{p\kappa + 64p\kappa }{(p-1)(\kappa +1)} \nonumber \\[5pt] &\lt & \frac{1}{4} \qquad \mbox{for all } s\in [0,\delta _0], \end{eqnarray}

while the fact that $\delta _0\le \delta \le 1$ ensures that

(2.19) \begin{eqnarray} \frac{I_4(s)}{J(s)} &=& \frac{p(p-1)^2 a^2 \kappa ^2 \delta ^{-2\kappa -2} s^2}{4(p-1) \kappa (\kappa +1) (\delta -s)^{-2\kappa -2}} \nonumber \\[5pt] &=& \frac{p(p-1) a^2 \kappa (\delta -s)^{2\kappa +2} \delta ^{-2\kappa -2} s^2}{4(\kappa +1)} \nonumber \\[5pt] &\le & \frac{p(p-1) a^2 \kappa \cdot \delta ^2}{4(\kappa +1)} \nonumber \\[5pt] &\le & \frac{p(p-1) a^2 \kappa }{4(\kappa +1)} \nonumber \\[5pt] &\lt & \frac{1}{4} \qquad \mbox{for all } s\in [0,\delta _0] \end{eqnarray}

because of (2.10). Since moreover, for a similar reason,

(2.20) \begin{eqnarray} \frac{I_5(s)}{J(s)} &=& \frac{a\kappa \delta ^{-\kappa -1} \cdot s \cdot (\delta -s)^{-\kappa -2}}{(\delta -s)^{-2\kappa -2}} \nonumber \\[5pt] &=& a\kappa (\delta -s)^\kappa s \cdot \delta ^{-\kappa -1} \nonumber \\[5pt] &\le & a\kappa \cdot \delta ^\kappa \cdot \delta \cdot \delta ^{-\kappa -1} \nonumber \\[1mm] &=& a\kappa \nonumber \\[1mm] &=& 8\kappa \nonumber \\[1mm] &\lt & \frac{1}{4} \qquad \mbox{for all } s\in [0,\delta _0] \end{eqnarray}

by (2.11), and since our smallness assumption in (2.12) guarantees that also

(2.21) \begin{eqnarray} \frac{I_3(s)}{J(s)} &=& \frac{p(p-1)^2 (\delta -s)^{-2\kappa }}{4(p-1) \kappa (\kappa +1) (\delta -s)^{-2\kappa -2}} \nonumber \\[5pt] &=& \frac{p(p-1) (\delta -s)^2}{4\kappa (\kappa +1)} \nonumber \\[5pt] &\le & \frac{p(p-1)}{4\kappa (\kappa +1)} \cdot \delta ^2 \nonumber \\[5pt] &\lt & \frac{1}{4} \qquad \mbox{for all } s\in [0,\delta _0], \end{eqnarray}

we only need to collect (2.18)-(2.21) to infer (2.8) from (2.17).

With the above technical preparation at hand, we can perform an essentially straightforward modification of an argument from [Reference Tao and Winkler20] to identify, given any $p\gt 1$ , a smallness condition on $v_0$ as sufficient to ensure bounds for $u$ with respect to the norm in $L^p(\Omega )$ .

Lemma 2.5. Let $p\gt 1$ , and let $\delta _0(p)$ be as provided by Lemma 2.4 . Then whenever $\alpha \ge \frac{1}{\delta _0(p)}$ and $(u_0,v_0)$ satisfies ( 1.6 ) as well as

(2.22) \begin{equation} v_0(x) \le \delta _0(p) \qquad \mbox{for all } x\in \Omega, \end{equation}

one can find $C=C(p,\alpha,u_0)\gt 0$ such that

(2.23) \begin{equation} \int _\Omega u^p(\cdot,t) \le C \qquad \mbox{for all } t\in (0,T_{\max}) \end{equation}

and

(2.24) \begin{equation} \int _0^t \int _\Omega u^{p-2} |\nabla u|^2 \le C \qquad \mbox{for all } t\in (0,T_{\max}). \end{equation}

Proof. Writing $\delta _0=\delta _0(p)$ , in view of Lemma 2.3, the hypothesis $\alpha \ge \frac{1}{\delta _0(p)}$ together with (2.22) ensures that $0\le v(x,t)\le \delta _0$ for all $x\in \Omega$ and $t\in (0,T_{\max})$ , whence Lemma 2.4 applies so as to warrant that with $\varphi =\varphi ^{(p)}$ as defined there, the functions $\varphi \circ v, \varphi '\circ v$ and $\varphi '' \circ v$ are continuous on $\overline{\Omega }\times [0,T_{\max})$ and that

(2.25) \begin{equation} \varphi (v) \ge c_1, \quad \varphi '(v) \le -c_2 \quad \mbox{and} \quad \varphi ''(v) \ge c_3 \qquad \mbox{in } \Omega \times (0,T_{\max}) \end{equation}

as well as

(2.26) \begin{equation} \frac{4p(p-1) \varphi (v) \varphi ''(v) - 4p^2 \varphi '^2(v) - p^2 (p-1)^2 \varphi ^2(v)}{4\varphi ''(v) - 4p\varphi '(v)} \ge c_4 \qquad \mbox{in } \Omega \times (0,T_{\max}) \end{equation}

with some $c_i=c_i(p)\gt 0$ , $i\in \{1,2,3,4\}$ . To make appropriate use of this information, we go back to (1.3) and compute

(2.27) \begin{eqnarray} \frac{d}{dt} \int _\Omega u^p \varphi (v) &=& p \int _\Omega u^{p-1} \varphi (v)\cdot \Big \{ \Delta u - \nabla \cdot (u\nabla v)\Big \} + \int _\Omega u^p \varphi '(v)\cdot \Big \{ \Delta v + u - \alpha uv\Big \} \nonumber \\[5pt] &=& -p(p-1) \int _\Omega u^{p-2} \varphi (v) |\nabla u|^2 - p \int _\Omega u^{p-1} \varphi '(v) \nabla u\cdot \nabla v \nonumber \\[5pt] & & + p(p-1) \int _\Omega u^{p-1} \varphi (v) \nabla u\cdot \nabla v + p\int _\Omega u^p \varphi '(v) |\nabla v|^2 \nonumber \\[5pt] & & - p \int _\Omega u^{p-1} \varphi '(v) \nabla u\cdot \nabla v - \int _\Omega u^p \varphi ''(v) |\nabla v|^2 \nonumber \\[5pt] & & + \int _\Omega u^{p+1} \varphi '(v) \cdot (1-\alpha v) \nonumber \\[5pt] &=& -p(p-1) \int _\Omega u^{p-2} \varphi (v) |\nabla u|^2 + \int _\Omega u^{p-1} \cdot \Big \{-2p\varphi '(v) + p(p-1) \varphi (v)\Big \} \nabla u\cdot \nabla v \nonumber \\[5pt] & & - \int _\Omega u^p\cdot \Big \{ \varphi ''(v)-p\varphi '(v)\Big \} |\nabla v|^2 \nonumber \\[5pt] & & + \int _\Omega u^{p+1} \varphi '(v) \cdot (1-\alpha v) \qquad \mbox{for all } t\in (0,T_{\max}). \end{eqnarray}

Here, the second inequality in (2.25) together with (2.4) shows that

(2.28) \begin{equation} \int _\Omega u^{p+1} \varphi '(v) \cdot (1-\alpha v) \le 0 \qquad \mbox{for all } t\in (0,T_{\max}), \end{equation}

and Young’s inequality implies that thanks to the positivity of $\varphi ''(v)-p\varphi '(v)$ entailed by (2.25), the third to last summand can be controlled according to

(2.29) \begin{eqnarray} & & \int _\Omega u^{p-1} \cdot \Big \{-2p\varphi '(v) + p(p-1) \varphi (v)\Big \} \nabla u\cdot \nabla v \nonumber \\[5pt] &\le & \int _\Omega u^p \cdot \Big \{ \varphi ''(v)-p\varphi '(v)\Big \} |\nabla v|^2 \nonumber \\[5pt] & & + \int _\Omega u^{p-2} \cdot \frac{\big \{ -2p\varphi '(v)+p(p-1)\varphi (v)\big \}^2}{4\cdot \big \{ \varphi ''(v)-p\varphi '(v)\big \}} \cdot |\nabla u|^2 \qquad \mbox{for all } t\in (0,T_{\max}). \end{eqnarray}

Since

\begin{eqnarray*} & & \frac{\big \{ -2p\varphi '(v)+p(p-1) \varphi (v)\big \}^2}{4\cdot \big \{\varphi ''(v)-p\varphi '(v)\big \}} - p(p-1) \varphi (v) \\[5pt] &=& \frac{4p^2 \varphi '^2(v) - 4p^2(p-1)\varphi (v)\varphi '(v) + p^2(p-1)^2 \varphi ^2(v)}{4\cdot \big \{\varphi ''(v)-p\varphi '(v)} - p(p-1) \varphi (v) \\[5pt] &=& \frac{1}{4\cdot \big \{\varphi ''(v)-p\varphi '(v)\big \}} \cdot \Big \{ 4p^2\varphi '^2(v) - 4p^2(p-1) \varphi (v)\varphi '(v) + p^2(p-1)^2 \varphi ^2(v) \\[5pt] & & -4p(p-1) \varphi (v)\varphi ''(v) + 4p^2(p-1) \varphi (v) \varphi '(v)\Big \} \\[5pt] &=& \frac{1}{4\cdot \big \{\varphi ''(v)-p\varphi '(v)\big \}} \cdot \Big \{ 4p^2\varphi '^2(v) + p^2(p-1)^2 \varphi ^2(v) -4p(p-1) \varphi (v)\varphi ''(v) \Big \} \qquad \mbox{in } \Omega \times (0,T_{\max}), \end{eqnarray*}

on the basis of (2.26), we can estimate

\begin{eqnarray*} \int _\Omega u^{p-2} \cdot \frac{\big \{ -2p\varphi '(v)+p(p-1)\varphi (v)\big \}^2}{4\cdot \big \{ \varphi ''(v)-p\varphi '(v)\big \}} \cdot |\nabla u|^2 - p(p-1) \int _\Omega u^{p-2} \varphi (v) |\nabla u|^2 \\[5pt] \le - c_4 \int _\Omega u^{p-2} |\nabla u|^2 \qquad \mbox{for all } t\in (0,T_{\max}). \end{eqnarray*}

Combining (2.27) with (2.29) and (2.28) hence leads to the inequality

\begin{eqnarray*} \frac{d}{dt} \int _\Omega u^p \varphi (v) \le -c_4 \int _\Omega u^{p-2} |\nabla u|^2 \qquad \mbox{for all } t\in (0,T_{\max}), \end{eqnarray*}

meaning that

\begin{eqnarray*} \int _\Omega u^p(\cdot,t) \varphi (v(\cdot,t)) + c_4 \int _0^t \int _\Omega u^{p-2} |\nabla u|^2 \le \int _\Omega u_0^p \varphi (v_0) \qquad \mbox{for all } t\in (0,T_{\max}), \end{eqnarray*}

and that thus the claim results in view of the uniform positivity property of $\varphi$ contained in (2.25).

In view of Lemma 2.2, to ensure global extensibility, it is sufficient to apply the latter to some suitably large but fixed $p\gt 1$ :

Lemma 2.6. There exists $\delta _\star =\delta _\star (n)\gt 0$ such that if $\Omega \subset \mathbb{R}^n$ is smoothly bounded, if $\alpha \ge \frac{1}{\delta _\star }$ and if $u_0$ and $v_0$ satisfy ( 1.6 ) as well as ( 1.7 ), then $T_{\max}=\infty$ and

(2.30) \begin{equation} \sup _{t\gt 0} \|u(\cdot,t)\|_{L^\infty (\Omega )} \lt \infty \end{equation}

as well as

(2.31) \begin{equation} \int _0^\infty \int _\Omega |\nabla u|^2 \lt \infty . \end{equation}

Proof. With $(\delta _0(p))_{p\gt 1}$ taken from Lemma 2.4, we fix $p\gt 1$ such that $p\gt \frac{n}{2}$ , and let $\delta _\star \;:\!=\;\min \{\delta _0(p),\delta _0(2)\}$ . Then two applications of Lemma 2.5 yield $c_1\gt 0$ and $c_2\gt 0$ such that

\begin{eqnarray*} \int _\Omega u^p \le c_1 \qquad \mbox{for all } t\in (0,T_{\max}), \end{eqnarray*}

and that

\begin{eqnarray*} \int _0^t \int _\Omega |\nabla u|^2 \le c_2 \qquad \mbox{for all } t\in (0,T_{\max}), \end{eqnarray*}

whence the claim becomes a consequence of Lemma 2.2.

3. Large time behaviour. Proof of Theorem 1.1

Our large time analysis will rely on the following general observation, possibly of independent interest, concerning $L^\infty$ decay as a consequence of uniform continuity in conjunction with a certain averaged decay property.

Lemma 3.1. Let $t_0\in \mathbb{R}$ and $\psi :\overline{\Omega }\times [t_0,\infty ) \to \mathbb{R}$ be bounded, uniformly continuous and such that

(3.1) \begin{equation} \int _t^{t+1} \int _\Omega |\psi |^q \to 0 \qquad \mbox{as } t\to \infty \end{equation}

with some $q\gt 0$ . Then

(3.2) \begin{equation} \psi (\cdot,t)\to 0 \quad \mbox{in } L^\infty (\Omega ) \qquad \mbox{as } t\to \infty . \end{equation}

Proof. Suppose that (3.2) was false. Then since the uniform continuity of $\psi$ on $\overline{\Omega }\times [t_0,\infty )$ implies that $(\psi (\cdot,t))_{t\ge t_0}$ is equi-continuous, the Arzelá-Ascoli theorem would provide $\psi _\infty \in C^0(\overline{\Omega })$ and a sequence $(t_k)_{k\in \mathbb{N}} \subset [t_0,\infty )$ such that $t_k\to \infty$ and

\begin{eqnarray*} \psi (\cdot,t_k) \to \psi _\infty \qquad \mbox{in } L^\infty (\Omega ) \end{eqnarray*}

as $k\to \infty$ and that $\psi _\infty \not \equiv 0$ . Accordingly taking $x_0\in \overline{\Omega }$ such that $c_1\;:\!=\;|\psi _\infty (x_0)|\gt 0$ , we could then find $k_0\in \mathbb{N}$ such that $|\psi (x_0,t_k)|\ge \frac{c_1}{2}$ for all $k\ge k_0$ , whereupon again relying on uniform continuity, we could fix $R\gt 0$ and $\tau \in (0,1)$ such that $|\psi (x,t)|\ge \frac{c_1}{4}$ for all $x\in B_R(x_0)\cap \Omega$ , any $t\in (t_k,t_k+\tau )$ and each $k\ge k_0$ . Then, however,

\begin{eqnarray*} \int _{t_k}^{t_k+1} \int _\Omega |\psi |^q \ge \int _{t_k}^{t_k+ \tau } \int _{B_R(x_0)\cap \Omega } |\psi |^q \ge \frac{c_1\tau }{4} \cdot \big | B_R(x_0)\cap \Omega \big | \qquad \mbox{for all } k\ge k_0, \end{eqnarray*}

which is incompatible with (3.2) due to the fact that $|B_R(x_0)\cap \Omega |\gt 0$ by smoothness of $\partial \Omega$ .

In order to satisfy the requirements concerning uniform continuity in the previous lemma, we note that standard parabolic theory ensures that $L^\infty$ bounds entail Hölder estimates in the following sense:

Lemma 3.2. Let $\delta _\star$ be as in Lemma 2.6 , let $\alpha \ge \frac{1}{\delta _\star }$ , and assume ( 1.6 ) and ( 1.7 ). Then there exist $\theta \in (0,1)$ and $C\gt 0$ such that

(3.3) \begin{equation} \|u\|_{C^{\theta,\frac{\theta }{2}}(\overline{\Omega }\times [t,t+1])} \le C \qquad \mbox{for all } t \ge 1 \end{equation}

and

(3.4) \begin{equation} \|v\|_{C^{\theta,\frac{\theta }{2}}(\overline{\Omega }\times [t,t+1])} \le C \qquad \mbox{for all } t\ge 1 \end{equation}

Proof. In view of the boundedness properties of $u$ and $v$ asserted by Lemmas 2.6 and 2.3, an application of standard heat semigroup estimates to the second equation in (1.3) ([Reference Horstmann and Winkler8]) shows that $\nabla v\in L^\infty ((0, \infty );\; L^\infty (\Omega ;\; \mathbb{R}^n))$ . Relying on this and again using the boundedness of $u$ , (3.3) can be obtained from [Reference Porzio and Vespri18, Theorem 1.3] (cf., e.g., [Reference Tao and Winkler21, Lemma 6.1] for a related precedent). Likewise, the assertion (3.4) can be concluded from the boundedness of $u$ and $\nabla v$ through [Reference Porzio and Vespri18, Theorem 1.3].

Based on the above two lemmas, the weak decay information contained in (2.31) can be turned into a statement on $L^\infty$ stabilization in the first solution component:

Lemma 3.3. If $\delta _\star$ is as in Lemma 2.6 , and if $\alpha \ge \frac{1}{\delta _\star }$ and $(u_0,v_0)$ satisfies ( 1.6 ) and ( 1.7 ), then

(3.5) \begin{equation} u(\cdot,t) \to \frac{1}{|\Omega |} \int _\Omega u_0 \quad \mbox{in } L^\infty (\Omega ) \qquad \mbox{as } t\to \infty . \end{equation}

Proof. According to a Poincaré inequality, there exists $c_1\gt 0$ such that

\begin{eqnarray*} \int _\Omega \bigg | \psi - \frac{1}{|\Omega |} \int _\Omega \psi \bigg |^2 \le c_1 \int _\Omega |\nabla \psi |^2 \qquad \mbox{for all } \psi \in W^{1,2}(\Omega ), \end{eqnarray*}

whence using (2.2), we find that

\begin{eqnarray*} \int _0^t \int _\Omega \bigg | u(x,t) - \frac{1}{|\Omega |} \int _\Omega u_0 \bigg |^2 \le c_1 \int _0^t \int _\Omega |\nabla u|^2 \qquad \mbox{for all } t\gt 0. \end{eqnarray*}

From Lemma 2.6, we thus infer that

\begin{eqnarray*} \int _0^\infty \int _\Omega \bigg | u - \frac{1}{|\Omega |} \int _\Omega u_0 \bigg |^2 \lt \infty, \end{eqnarray*}

so that since $\overline{\Omega }\times [1,\infty ) \ni (x,t) \mapsto u(x,t)-\frac{1}{|\Omega |} \int _\Omega u_0$ is uniformly continuous thanks to Lemma 3.2, it is sufficient to apply Lemma 3.1.

Our large time analysis of the second solution component will be based on the following elementary relaxation feature which actually does not rely on largeness of $\alpha$ nor on smallness of $v_0$ and is thus enjoyed also by possibly existing non-global solutions to (1.3).

Lemma 3.4. Let $\alpha \gt 0$ , and assume ( 1.6 ). Then there exists $C\gt 0$ such that

(3.6) \begin{equation} \int _0^t \int _\Omega u\cdot \Big (v-\frac{1}{\alpha }\Big )^2 \le C \qquad \mbox{for all } t\in (0,T_{\max}). \end{equation}

Proof. An integration by parts using the second equation in (1.3) shows that

\begin{eqnarray*} \frac{1}{2} \frac{d}{dt} \int _\Omega \Big (v-\frac{1}{\alpha }\Big )^2 &=& \int _\Omega \Big (v-\frac{1}{\alpha }\Big )\cdot \Big \{ \Delta v -\alpha u\cdot \Big (v-\frac{1}{\alpha }\Big )\Big \} \\[5pt] &=& - \int _\Omega |\nabla v|^2 - \alpha \int _\Omega u\cdot \Big (v-\frac{1}{\alpha }\Big )^2 \\[5pt] &\le & - \alpha \int _\Omega u\cdot \Big (v-\frac{1}{\alpha }\Big )^2 \qquad \mbox{for all } t\in (0,T_{\max}). \end{eqnarray*}

Therefore,

\begin{eqnarray*} \frac{1}{2} \int _\Omega \Big (v(\cdot,t)-\frac{1}{\alpha }\Big )^2 + \alpha \int _0^t \int _\Omega u\cdot \Big (v-\frac{1}{\alpha }\Big )^2 \le \frac{1}{2} \int _\Omega \Big (v_0-\frac{1}{\alpha }\Big )^2 \qquad \mbox{for all } t\in (0,T_{\max}), \end{eqnarray*}

which implies (3.6).

Using that the weight function $u$ appearing in (3.6) eventually admits a uniform pointwise lower bound due to Lemma 3.3, we can combine Lemma 3.4 with the uniform continuity property implied by Lemma 3.2 to assert stabilization also in the signal concentration.

Lemma 3.5. Let $\delta _\star$ be as in Lemma 2.6 , let $\alpha \ge \frac{1}{\delta _\star }$ , and suppose that ( 1.6 ) and ( 1.7 ) hold. Then

(3.7) \begin{equation} v(\cdot,t) \to \frac{1}{\alpha } \quad \mbox{in } L^\infty (\Omega ) \qquad \mbox{as } t\to \infty . \end{equation}

Proof. As we are assuming that $u_0\not \equiv 0$ , letting $c_1\;:\!=\;\frac{1}{2|\Omega |} \int _\Omega u_0$ defines a positive constant which due to Lemma 3.3 has the property that

\begin{eqnarray*} u(x,t) \ge c_1 \qquad \mbox{for all $x\in \Omega $ and } t\gt t_0 \end{eqnarray*}

with some $t_0\gt 0$ . Therefore,

\begin{eqnarray*} c_1 \int _{t_0}^t \int _\Omega \Big ( v-\frac{1}{\alpha }\Big )^2 \le \int _{t_0}^t \int _\Omega u\cdot \Big ( v-\frac{1}{\alpha }\Big )^2 \le \int _0^\infty \int _\Omega u\cdot \Big ( v-\frac{1}{\alpha }\Big )^2 \qquad \mbox{for all } t\gt t_0, \end{eqnarray*}

whence using Lemma 3.4, we obtain that since under the current hypotheses, we already know that $T_{\max}=\infty$ ,

\begin{eqnarray*} \int _{t_0}^\infty \int _\Omega \Big (v-\frac{1}{\alpha }\Big )^2 \lt \infty . \end{eqnarray*}

Based on the uniform continuity property of $v-\frac{1}{\alpha }$ implied by (3.4), by means of Lemma 3.1, this yields (3.7).

Both parts of our claim concerning the large time behaviour in (1.3) have thereby been completed:

Proof of Theorem 1.1 . We only need to combine Lemma 2.6 with Lemma 2.1, and collect the outcomes of Lemmas 3.3 and 3.5.

4. Blow-up prevention in planar domains. Proofs of Proposition 1.2 and Corollary 1.3

In the particular case when $n=2$ , a simple reduction to known results on (1.2) extends the results from Theorem 1.1 to situations in which $v_0$ is suitably large throughout $\Omega$ :

Proof of Proposition 1.2 . Since $v_0-\frac{1}{\alpha }$ is nonnegative, according to a known argument the problem

(4.1) \begin{equation} \left \{ \begin{array}{l@{\quad}l} u_t = \Delta u - \nabla \cdot (u\nabla w), \qquad & x\in \Omega, \ t\gt 0, \\[1mm] w_t = \Delta w - \alpha uw, \qquad & x\in \Omega, \ t\gt 0, \\[1mm] \frac{\partial u}{\partial \nu }=\frac{\partial w}{\partial \nu }=0, \qquad & x\in \partial \Omega, \ t\gt 0, \\[1mm] u(x,0)=u_0(x), \quad w(x,0)=v_0(x)-\frac{1}{\alpha }, \qquad & x\in \Omega, \end{array} \right . \end{equation}

possesses a uniquely determined classical solution $(u,w)$ with

\begin{eqnarray*} \left \{ \begin{array}{l} u\in C^0(\overline{\Omega }\times [0,\infty )) \cap C^{2,1}(\overline{\Omega }\times (0,\infty )) \qquad \mbox{and} \\[1mm] w \in \bigcap _{q\gt n} C^0([0,\infty );\;W^{1,q}(\Omega )) \cap C^{2,1}(\overline{\Omega }\times (0,\infty )), \end{array} \right . \end{eqnarray*}

and with $u\ge 0$ and $w\gt 0$ in $\overline{\Omega }\times [0,\infty )$ , and this solution additionally satisfies

\begin{eqnarray*} u(\cdot,t) \to \frac{1}{|\Omega |} \int _\Omega u_0 \quad \mbox{and} \quad w(\cdot,t) \to 0 \qquad \mbox{in } L^\infty (\Omega ) \end{eqnarray*}

as $t\to \infty$ ; for the special case $\alpha =1$ , this can be found detailed in [Reference Jiang, Wu and Zheng9], while a proof for arbitrary $\alpha \gt 0$ can be obtained by straightforward modification thereof. Setting $v\;:\!=\;w+\frac{1}{\alpha }$ , we thus obtain a pair $(u,v)$ of nonnegative functions fulfilling (1.8) as well as (1.9) and (1.10).

In radially symmetric settings, also on the basis of known approaches from the literature, we can thereby make sure that the behaviour in (1.3) for large $\alpha \gt 0$ substantially deviates from that when $\alpha =0$ :

Proof of Corollary 1.3 . A straightforward modification of the reasonings in either [Reference Herrero and Velázquez6] or [Reference Mizoguchi and Winkler15] provides $T_{\max}\in (0,\infty )$ as well as nonnegative, radially symmetric functions $u^{(0)}$ and $v^{(0)}$ such that (1.12) and (1.14) hold and that (1.3) with $\alpha =0$ is classically solved in $\Omega \times (0,T_{\max})$ ; in view of the strong maximum principle, we may assume upon replacing $T_{\max}$ with $\frac{1}{2}T_{\max}$ and $t$ with $t-\frac{1}{2}T_{\max}$ here if necessary that $(u_0,v_0)\;:\!=\;(u^{(0)},v^{(0)})(\cdot,0)$ satisfies (1.6) with $v_0\gt 0$ in $\overline{\Omega }$ . Accordingly, $\alpha _0\;:\!=\;\frac{1}{\inf _{x\in \Omega } v_0(x)}$ is well defined and positive, and therefore, we may apply Proposition 1.2 to see that for each $\alpha \gt \alpha _0$ , the problem (1.3) possesses a global classical solution $(u^{(\alpha )},v^{(\alpha })$ fulfilling (1.13) and (1.15).

Financial support

Youshan Tao was supported by the National Natural Science Foundation of China (No. 12171316). Michael Winkler acknowledges support of the Deutsche Forschungsgemeinschaft (Project No. 462888149).

Competing interests

None.

References

Bellomo, N., Bellouquid, A., Tao, Y. & Winkler, M. (2015) Toward a mathematical theory of Keller-Segel models of pattern formation in biological tissues. Math. Mod. Meth. Appl. Sci. 25 (09), 16631763.Google Scholar
Dallaston, M. C., Birtles, G., Araujo, R. P. & Jenner, A. L. (2023) The effect of chemotaxis on T-cell regulatory dynamics. J. Math. Biol. 87 (84), 19.Google ScholarPubMed
Dombrowski, C., Cisneros, L., Chatkaew, S., Goldstein, R. E. & Kessler, J. O. (2004) Self-concentration and large-scale coherence in bacterial dynamics. Phys. Rev. Lett. 93 (9), 098103–14.Google ScholarPubMed
Fowell, D. J. & Kim, M. (2021) The spatio-temporal control of effector T cell migration. Nat. Rev. Immunol. 21 (9), 582596.Google ScholarPubMed
Griffith, J. W., et al. (2014) Chemokines and chemmokine receptors: positioning cells for host defense and immunity. Annu. Rev. Immunol. 32 (1), 659702.Google ScholarPubMed
Herrero, M. A. & Velázquez, J. J. L. (1997) A blow-up mechanism for a chemotaxis model. Ann. Scu. Norm. Super. Pisa Cl. Sci. 24, 663683.Google Scholar
Hillen, T. & Painter, K. J. (2009) A users’ guide to PDE models for chemotaxis. J. Math. Biol. 58 (1-2), 183217.Google ScholarPubMed
Horstmann, D. & Winkler, M. (2005) Boundedness vs. blow-up in a chemotaxis system. J. Differ. Equations 215 (1), 52107.Google Scholar
Jiang, J., Wu, H. & Zheng, S. (2015) Global existence and asymptotic behavior of solutions to a chemotaxis-fluid system on general bounded domains. Asymptot. Anal. 92 (3-4), 249258.Google Scholar
Jin, C. (to appear) Global boundedness and eventual regularity of chemotaxis-fluid model driven by porous medium diffusion. Commun. Math. Sci.Google Scholar
Jin, H.-Y. & Wang, Z.-A. (2017) Global stability of prey-taxis systems. J. Differ. Equations 262 (3), 12571290.Google Scholar
Kareiva, P. & Odell, G. (1987) Swarms of predators exhibit ‘preytaxis’ if individual predators use arearestricted search. Am. Nat. 130 (2), 233270.Google Scholar
Keller, E. F. & Segel, L. A. (1970) Initiation of slime mold aggregation viewed as an instability. J. Theor. Biol. 26 (3), 399415.Google ScholarPubMed
Keller, E. F. & Segel, L. A. (1971) Traveling bands of chemotactic bacteria: a theoretical analysis. J. Theor. Biol. 30 (2), 235248.Google ScholarPubMed
Mizoguchi, N. & Winkler, M. Finite-time blow-up in the two-dimensional parabolic Keller-Segel system. Preprint.Google Scholar
Nagai, T., Senba, T. & Yoshida, K. (1997) Application of the Trudinger-Moser inequality to a parabolic system of chemotaxis. Funkc. Ekvacioj, Ser. Int. 40, 411433.Google Scholar
Painter, K. J. (2019) Mathematical models for chemotaxis and their applications in self-organisation phenomena. J. Theor. Biol. 481, 162182.Google ScholarPubMed
Porzio, M. M. & Vespri, V. (1993) Holder estimates for local solutions of some doubly nonlinear degenerate parabolic equations. J. Differ. Equations 103 (1), 146178.Google Scholar
Tao, Y. (2011) Boundedness in a chemotaxis model with oxygen consumption by bacteria. J. Math. Anal. Appl. 381, 521529.Google Scholar
Tao, Y. & Winkler, M. (2012) Eventual smoothness and stabilization of large-data solutions in a three-dimensional chemotaxis system with consumption of chemoattractant. J. Differ. Equations 252, 25202543.Google Scholar
Tao, Y. & Winkler, M. (2019) Boundedness and stabilization in a population model with cross-diffusion for one species. Proc. London Math. Soc. (3) 119, 15981632.Google Scholar
Tao, Y. & Winkler, M. (2019) Global smooth solvability of a parabolic-elliptic nutrient taxis system in domains of arbitrary dimension. J. Differ. Equations 267 (1), 388406.Google Scholar
Tello, J. I. & Wrzosek, D. (2016) Predator-prey model with diffusion and indirect prey-taxis. Math. Models Methods Appl. Sci. 26 (11), 21292162.Google Scholar
Tuval, I., Cisneros, L., Dombrowski, C., Wolgemuth, C. W., Kessler, J. O. & Goldstein, R. E. (2005) Bacterial swimming and oxygen transport near contact lines. PNAS 102 (7), 22772282.Google ScholarPubMed
Winkler, M. (2010) Absence of collapse in a parabolic chemotaxis system with signal-dependent sensitivity. Math. Nachr. 283 (11), 16641673.Google Scholar
Winkler, M. (2013) Finite-time blow-up in the higher-dimensional parabolic-parabolic Keller-Segel system. J. Math. Pures Appl. 100 (5), 748767, arXiv: 1112.4156v1.Google Scholar
Winkler, M. (2022) Chemotaxis-Stokes interaction with very weak diffusion enhancement: blow-up exclusion via detection of absorption-induced entropy structures involving multiplicative couplings. Adv. Nonlinear Stud. 22 (1), 88117.Google Scholar
Wu, S., Shi, J. & Wu, B. (2016) Global existence of solutions and uniform persistence of a diffusive predator-prey model with prey-taxis. J. Differ. Equations 260 (7), 58475874.Google Scholar