1. Introduction
Let H denote the Hermite operator
The operator H is nonnegative and self-adjoint with respect to the Lebesgue measure on $\mathbb {R}^n$ . The spectrum of the operator H is given by the set $ {2\mathbb N_0} + n$ . Here ${\mathbb N_0}$ denotes the set of nonnegative integers. For each nonnegative integer k, the Hermite polynomials $H_k(t) $ on $\mathbb {R}$ are defined by $H_k(t)=(-1)^k e^{t^2} ({d^k}/{d t^k}) (e^{-t^2})$ , and the Hermite functions $h_k(t):=(2^k k ! \sqrt {\pi })^{-1/2} H_k(t) e^{-t^2/2}$ , $k=0, 1, 2, \ldots $ form an orthonormal basis of $L^2(\mathbb R)$ . For any multiindex $\mu \in {\mathbb N}^n_0$ , the n-dimensional Hermite functions are given by the tensor product of the one-dimensional Hermite functions:
Then the functions $\Phi _{\mu }$ are eigenfunctions for the Hermite operator with eigenvalue $(2|\mu |+n)$ and $\{\Phi _{\mu }\}_{\mu \in \mathbb N_0^n}$ forms a complete orthonormal system in $L^2({\mathbb {R}^n})$ . Thus, for every $f\in L^2(\mathbb {R}^n)$ , we have the Hermite expansion
where $P_k$ denotes the Hermite projection operator given by
For $R>0$ , the Bochner–Riesz means for H of order $\lambda \geq 0$ are defined by
The assumption $\lambda \geq 0$ is necessary for $S_R^{\lambda }(H)$ to be defined for all $R>0$ . Note that $S_R^{\lambda }(H)f$ cannot be defined with $R^2=2k+n$ if $\lambda <0$ .
On the space $\mathbb {R}$ , Thangavelu [Reference Thangavelu28] showed that $S_R^\lambda (H)$ is uniformly bounded on $L^p(\mathbb {R})$ for $1\leq p\leq \infty $ provided $\lambda>1/6$ ; if $0<\lambda <1/6$ , the uniform boundedness of $S_R^\lambda (H)$ holds if and only if $4/(6\lambda +3) <p<4/(1-6\lambda )$ . On the space $\mathbb {R}^n$ for dimension $n\geq 2$ , if $\lambda> (n-1)/2$ , Thangavelu [Reference Thangavelu29] showed that $S_R^\lambda (H)$ is uniformly bounded on $L^p(\mathbb {R}^n)$ for $1\leq p\leq \infty $ . Let $n\geq 2,\ 0\leq \lambda \leq (n-1)/2$ and $p\in [1,\infty ]\backslash \, \{2\}$ . It was conjectured (see [Reference Thangavelu30, page 259]) that $S_R^\lambda (H)$ is bounded on $L^p(\mathbb {R}^n)$ uniformly in R if and only if
Thangavelu showed that the $L^p$ boundedness of $S_R^\lambda (H)$ fails if $\lambda <\lambda (p)$ . Karadzhov [Reference Karadzhov19] showed the $L^p$ boundedness of $S_R^\lambda (H)$ by an optimal $L^2$ – $L^p$ spectral projection estimate when p is in the range of $[1,2n/(n+2)]\cup [2n/(n-2),\infty ]$ and ${\lambda>\lambda (p)}$ . Recently, Lee and Ryu [Reference Lee and Ryu22] invalidated the above conjecture by showing that $\sup _{R>0}\|S_R^\lambda (H)\|_{L^p\rightarrow L^p}\leq C$ only if $\lambda \geq -1/(3p)+n/3(1/2-1/p)>\lambda (p)$ when ${p\in (2(n+1)/n,2(2n-1)/(2n-3))}$ for $n\geq 2$ . Concerning the estimate of the maximal operator, it is known (see [Reference Chen, Lee, Sikora and Yan5]) that the maximal operator $\sup _{R>0}|S_R^\lambda (H)f|$ is bounded on $L^p(\mathbb {R}^n)$ for $n\geq 2$ whenever $p\geq 2n/(n-2)$ and $\lambda>\lambda (p)$ . Further, Chen et al. [Reference Chen, Duong, He, Lee and Yan4] proved that $\sup _{R>0}|S_R^\lambda (H)f|$ is bounded on $L^2(\mathbb {R}^n,(1+|x|)^{-\alpha })$ if ${\lambda>\max \{(\alpha -1)/4,0\},}$ which implies the almost everywhere (a.e.) convergence of $S^\lambda _R(H)f$ for all $f\in L^p(\mathbb {R}^n)$ provided that $\lambda>\lambda (p)/2$ with $p\in [2,\infty )$ .
Consider the commutator. Given an operator T and a local integral function b, the commutator of T and b is defined as follows:
It is well known that Coifman et al. [Reference Coifman, Rochberg and Weiss9] characterized the boundedness of the commutator $[b,T]$ with Riesz transforms and $b\in \mathrm {BMO}$ . Since then, many investigations have come out of this work: generalizations to spaces of homogeneous type by Uchiyama [Reference Uchiyama32]; multi-parameter extensions by Ferguson and Lacey [Reference Ferguson and Lacey12] and by Lacey et al. [Reference Lacey, Petermichl, Pipher and Wick20]; in the two-weight setting by Holmes et al. [Reference Holmes, Lacey and Wick14]; $L^p$ to $L^q$ boundedness and applications with Jocobian operators by Hytönen [Reference Hytönen18]; div-curl lemmas by Coifman et al. [Reference Coifman, Lions, Meyer and Semmes8] and by Lacey et al. [Reference Lacey, Petermichl, Pipher and Wick21]; additional interpretations in operator theory by Uchiyama [Reference Uchiyama31] and by Nazarov et al. [Reference Nazarov, Pisier, Treil and Volberg23]; commutators with classical Bochner–Riesz operators by Álvarez et al. [Reference Álvarez, Bagby, Kurtz and Pérez1] and by Hu and Lu [Reference Hu and Lu15, Reference Hu and Lu17].
In [Reference Chen, Lin and Yan6], the authors of this article and Yan studied the $L^p$ -boundedness of the commutator $[b, S_R^\lambda (H)](f)$ of a BMO function b and the Bochner–Riesz means $S_R^\lambda (H)$ , which are defined by
They showed that if $n\geq 2$ , $1\leq p\leq 2n/(n+2)$ and $\lambda>\lambda (p)$ , then for all $b\in \mathrm {BMO(\mathbb {R}^n)}$ and all $q\in (p,p')$ ,
The purpose of this paper is to follow this line to establish weighted $L^2$ estimates of the commutator of $S_R^\lambda (H)$ and a BMO function b. Our main result is the following theorem.
Theorem 1.1. Let $b\in \mathrm {BMO}(\mathbb {R}^n)$ . For $0\leq \alpha <n$ , if $\lambda>\max \{(\alpha -1)/4,0\}$ , then
As a consequence of Theorem 1.1, we have the following result.
Corollary 1.2. Let $2\leq p<\infty $ and $\lambda>\lambda (p)/2.$ Then for any $b\in \mathrm {BMO}(\mathbb {R}^n)$ and $f\in L^p(\mathbb {R}^n)$ ,
almost everywhere.
We would like to mention that the classical Bochner–Riesz means on $\mathbb {R}^n$ are defined by
Hu and Lu [Reference Hu and Lu16] showed that for $\lambda>0$ , the maximal commutator operator $\sup _{R>0}|[b,S^\lambda _R]f|$ is bounded on $L^2(\mathbb {R}^n)$ . Further, they proved a weighted estimate and showed that the maximal commutator operator $\sup _{R>0}|[b,S^\lambda _R]f|$ is bounded on $L^2(\mathbb {R}^n,|x|^{-\alpha })$ whenever $0<\alpha <n$ and $\lambda>\max \{(\alpha -1)/2,0\}$ in [Reference Hu and Lu17].
The proof of Theorem 1.1 relies on a weighted $L^2$ estimate for the square function $ G_{b,\delta }$ , which is defined by
where $\phi \in C_c^\infty (\mathbb {R})$ with support $\{x:1/8\leq |x| \leq 1/2\}$ and $|\phi |\leq 1$ (see Proposition 3.1). Indeed, we show that for any $0<\upsilon \leq 1/2$ , there exists a constant $C_{\alpha ,\upsilon }>0$ independent of $\delta $ such that
where
To show Inequality (1-1), we use an extension of two nontrivial facts due to [Reference Chen, Duong, He, Lee and Yan4]. The first is that for any $\alpha \geq 0$ ,
holds for any $f\in {\mathscr S} (\mathbb {R}^n)$ . The second fact is a type of trace lemma for the Hermite operator, that is, for $\alpha>1$ , there exists a constant $C>0$ such that
We would like to mention that when $0<\alpha <1$ , Inequality (1-3) is not applicable. To show the square function estimate in Inequality (1-1) for $0<\alpha <1$ , we make use of a weighted Plancherel-type estimate (see Inequality (2-2) and refer to [Reference Chen, Duong, He, Lee and Yan4, Lemma 2.6] for the proof).
This paper is organized as follows. In Section $2$ , we give some preliminary results about the Hermite operator, and some estimates of the commutator of spectral multipliers and BMO functions, which provide the basic estimates required for the proof of Theorem 1.1. We establish the weighted estimate in Inequality (1-1) of the square function $G_{b,\delta }$ in Section $3$ . The proof of Theorem 1.1 is given in Section $4$ by using the estimate in Inequality (1-1) of the square function $G_{b,\delta }$ . As a consequence of Theorem 1.1, we obtain the proof of Corollary 1.2 at the end of Section $4$ .
2. Preliminary results
We start by recalling some properties of the Hermite operator H. The Hermite operator H satisfies the finite speed propagation property, that is,
See for example, [Reference Sikora25, Theorem 2]. By Fourier inversion, for any even function F,
From [Reference Chen, Ouhabaz, Sikora and Yan7, Lemma I.1], if supp $\, \widehat {F}\subseteq [-t,t]$ , then
which is used in the following.
For any function F with support in $[-1,1]$ and $2\leq p<\infty $ , we define
The following is the trace lemma for the Hermite operator.
Lemma 2.1. For $\alpha>1$ , there exists a constant $C>0$ such that for any $k\in \mathbb {N}^+$ ,
As a consequence, for any function F supported in $[N/4,N]$ , $N\in \mathbb {N^+}$ and any $\varepsilon>0$ , there exist constants C and $C_\varepsilon $ such that
Proof. For the proof of Inequalities (2-1) and (2-2), we refer the reader to [Reference Chen, Duong, He, Lee and Yan4, Lemmas 1.5, 2.4 and 2.6]. We would like to mention that the estimate in Inequality (2-2) for $\alpha>1$ is equivalent to the estimate in Inequality (2-1). Inequality (2-2) for $0<\alpha \leq 1$ is a consequence of a bilinear interpolation of the estimate in Inequality (2-2) for $\alpha>1$ and the trivial fact $\|F(\!\sqrt {H})f\|_{L^2(\mathbb {R}^n)}=\|F(N\cdot )\|_{L^{\infty }(\mathbb {R})} \|f\|_{L^2(\mathbb {R}^n)}$ .
Lemma 2.2. Let $\alpha \geq 0$ . Then the estimate
holds for all $f\in {\mathscr S}({\mathbb R^n})$ . Here, ${\mathscr S}({\mathbb R^n})$ stands for the class of Schwartz functions in ${\mathbb R^n}.$
Proof. For the proof, we refer the reader to [Reference Chen, Duong, He, Lee and Yan4, Lemma 1.4].
Lemma 2.3. Let $b\in \mathrm {BMO}(\mathbb {R}^n)$ . By $M_b$ , we denote the commutator of the Hardy–Littlewood maximal operator defined by
If $1<p<\infty $ and $w\in A_p$ , then $M_b$ is bounded on $L^p(\mathbb {R}^n,w)$ with bound $C(n,p)\|b\|_{\mathrm {BMO}}$ .
Proof. For the proof, we refer the reader to [Reference Hu and Lu17, Lemma 1] and [Reference Garcia-Cuerva, Harboure, Segovia and Torre13].
Lemma 2.4. Let $M_b(f)$ be defined as above and $\varphi \in C_c^{\infty }({\mathbb {R}})$ . Then for any $\varepsilon>0$ ,
In addition, for any $1<p<\infty $ and $w\in A_p$ ,
Proof. Let $G(t^{-2}H)=\varphi (t^{-2}H)e^{t^{-2}H}$ , then by the Fourier transform,
with the kernel
where $p_{t}(x,y)$ is the heat kernel of the semigroup $e^{-tH}$ . Then,
The kernel of $e^{-t^{-2}H}$ has the Gaussian upper bound. Let $z=t^{-2}(1-i\tau )$ . By the Phragmen–Lindelöf theorem, the kernel of $e^{-zH}$ satisfies the following estimate (see [Reference Ouhabaz24, Theorem 7.2]):
Let $r=t^{-1}(1+|\tau |^2)^{1/2}$ , $U_0(B)=B(x,r)$ , $U_k(B)=2^{k}B-2^{k-1}B$ for $k\geq 1$ . By Inequality (2-4),
Note that supp $\varphi \subseteq \mathbb {R}^{+}$ and $\|\varphi \|_{W^2_{n+1/2+\varepsilon }}\approx \|G\|_{W^2_{n+1/2+\varepsilon }} $ . This, in combination with Inequalities (2-3) and (2-5), implies that
Finally, the $L^p(\mathbb {R}^n,w)$ of $\sup _{t>0}|[b,\varphi (t^{-2}H)]f|$ follows by Inequality (2-6) and Lemma 2.3.
Lemma 2.5. Let $b\in \mathrm {BMO}(\mathbb {R}^n)$ , $s>n/2$ and let $r_0=\max \{1,n/s\}$ . Then for all Borel functions F such that $\sup _{R>0}\|\eta F(R\cdot )\|_{W_s^{\infty }}<\infty $ where $\eta \in C_c^{\infty }(0,\infty )$ is a fixed function and not identically zero, the commutator $[b,F(\!\sqrt {H})]$ is bounded on $L^p(\mathbb {R}^n,w)$ for all $r_0<p<\infty $ and $w\in A_{p/{r_0}}$ . In addition,
Proof. The Hermite operator has a Gaussian upper bound, and thus it satisfies the condition of [Reference Bui3, Theorem 1.1], which gives this lemma. See also [Reference Duong, Sikora and Yan11, Theorem 3.2].
Lemma 2.6. Let $\varphi \in C_c^{\infty }(\mathbb {R})$ be a nonzero function with support $\{u:1\leq |u|\leq 3\}$ . For $-n<\alpha <n$ ,
and for any $b\in \mathrm {BMO}(\mathbb {R}^n)$ ,
Proof. For the proof of Inequality (2-7), we refer to [Reference Chen, Duong, He, Lee and Yan4, Proposition 2.7]. We show the proof of the estimate in Inequality (2-8) for completeness, although the proof is rather standard. Indeed, let $r_k(t)$ be the Rademacher functions and $\varphi _k(\lambda )=\varphi (2^{-k}\lambda )$ . Define a function
By the properties of Rademacher functions,
Integrating in x with weight $(1+|x|)^{-\alpha }$ ,
Let $\eta \in C_c^\infty (\mathbb {R^+})$ . It is easy to obtain that $\sup _{R>0}\|\eta F(t,R\cdot )\|_{W^\infty _{s}(\mathbb {R})}<\infty $ for $s>n/2$ . It follows by Lemma 2.5 and $(1+|x|)^{-\alpha }\in A_2$ whenever $-n<\alpha <n$ that
with C uniformly in $t\in [0,1]$ .
3. A weighted estimate for the square function
In this section, we show the following weighted $L^2$ estimates for the square function $ G_{b,\delta }$ , which is defined by
where $\phi \in C_c^\infty (\mathbb {R})$ with support $\{x:1/8\leq |x| \leq 1/2\}$ and $|\phi |\leq 1.$
Proposition 3.1. Let $0\leq \alpha <n$ , $0<\delta < 1/2$ . Assume $b\in \mathrm {BMO}(\mathbb {R}^n)$ . Then for any $0<\upsilon \leq 1/2$ , there exists a constant $C_{\alpha ,\upsilon }>0$ independent of $\delta $ such that
where
We select an even function $\eta \in C_c^{\infty }(\mathbb {R})$ supported in $\{u:1/2\leq |u|\leq 2\}$ such that $\sum _{j\in \mathbb {Z}}\eta (2^{-j}u)=1\text { for all }\ u>0.$ Given $0<\delta <1/2$ , let $j_0=[-\log _2\delta ]-1$ . Set $\eta _j(u)=\eta (2^{-j}u)$ for $j>j_0$ and $\eta _{j_0}(u)=1-\sum _{j\geq j_0+1}\eta (2^{-j}u)$ , then we have $\sum _{j\geq j_0}\eta _j (u)\equiv 1 \text {for all } u>0.$ Let us use $\phi _{\delta }(s)$ to denote $\phi (\delta ^{-1}(1-s^2))$ . For $j\geq j_0$ , we define
Following from the dyadic decomposition,
The following is a useful estimate throughout the paper. For any $N\in \mathbb {N}$ and $j\geq j_0$ ,
See [Reference Chen, Duong, He, Lee and Yan4, page 23, Equation (3.16)] for the proof.
To prove Proposition 3.1, we need the following lemmas.
Lemma 3.2. Let $0\leq \alpha <n$ , $k\geq 0$ and $j\geq j_0$ . We define an operator associated with $\phi _{\delta ,j}$ by
Then for any $0<\varepsilon \leq 1/2$ and $N\in \mathbb {N}$ , there exists a constant $C_{\varepsilon ,N}$ such that
where
Lemma 3.3. Let $T_{j,k}^{\delta }$ be defined as in Lemma 3.2 and $k\geq 0$ , $0\leq \alpha < n$ , $j\geq j_0$ . Then for any $0<\varepsilon \leq 1/2$ and $N\in \mathbb {N}$ , there exists a constant $C_{\varepsilon ,N}$ such that
where $\theta =2/r$ , $2< r<\infty $ .
Now, we prove Proposition 3.1 using Lemmas 3.2 and 3.3, whose proofs are given later.
Proof of Proposition 3.1
The facts that the eigenvalue of the Hermite operator is bigger than $1$ and supp $\,\phi \subseteq \{x:1/8\leq |x|\leq 1/2\}$ imply that
Choose a function $\varphi $ with support $\{s:1\leq |s|\leq 3\}$ and $\sum _{k\in \mathbb {Z}}\varphi (2^{-k}s)=1\text { for all } s\,{>}\,0$ . Let $\varphi _k(s)=\varphi (2^{-k}s)$ . There is a uniform bound C for any $t\in [1/2,\infty )$ such that $\#\{k\in \mathbb {Z}:\phi _{\delta }(t^{-1}s)\varphi _k(s)\neq 0,s>0\}\leq C$ , where $\#$ is the counting measure. Hence,
where in the last equality, we use the support property of $\phi _{\delta }(t^{-1}s)$ and $\varphi _k(s)$ .
Note that
It follows that
where
For the first term $I_1(k)$ , it follows by Inequality (3-1) and Minkowski’s inequality that
By Lemma 3.2,
Then taking the sum over k and using Inequality (2-8) in Lemma 2.6 gives
For the second term $I_2(k)$ , it follows by Inequality (3-1) and Minkowski’s inequality that
We decompose $\mathbb {R}^n$ into disjoint cubes with side length $2^{j-k+2}$ . For a given ${\mathbf {m}=(\mathbf {m}_1,\ldots ,\mathbf {m}_n)\in \mathbb {Z}^n}$ , we define an associated cube by
Clearly, $Q_{\mathbf {m}}$ is a cube with centre $2^{j-k+2}(\mathbf {m}_1,\ldots ,\mathbf {m}_n)$ and side length $2^{j-k+2}$ . Here, $\{Q_{\mathbf {m}}\}$ are disjoint and $\mathbb {R}^n=\bigcup _{\mathbf {m}\in \mathbb {Z}^n}Q_{\mathbf {m}}.$ For each $\mathbf {m}\in \mathbb {Z}^n$ , we define $\widetilde {Q}_{\mathbf {m}}$ by
If $t\in [2^{k-1},2^{k+2}]$ , supp $\widehat {\phi _{\delta ,j}(t^{-1}}\cdot )\subseteq [-2^{j-k+2},2^{j-k+2}]$ . By finite speed of propagation in Display (FS), $K_{\phi _{\delta ,j}(t^{-1}\!\sqrt {H})}\subseteq \mathfrak {D}_{2^{j-k+2}}$ . It follows that for any $t\in [2^{k-1},2^{k+2}]$ ,
where as usual $\chi _{Q_{\mathbf {m}}}$ is the characteristic function of $Q_{\mathbf {m}}$ .
Let $b_{\widetilde {Q}_{\mathbf {m}}}=|\widetilde {Q}_{\mathbf {m}}|^{-1}\int _{\widetilde {Q}_{\mathbf {m}}}b(y)\;dy$ . Obviously,
It follows from Inequalities (3-6), (3-7) and the disjointness of ${Q}_{\mathbf {m}}$ that
where
We select r and q such that $1/2=1/q+1/r$ and $\alpha r/2<n$ so that we can use Lemma 3.3. By Hölder’s inequality,
By Lemma 3.3 and Hölder’s inequality again,
By John–Nirenberg’s inequality,
Recall that $\widetilde {Q}_{\mathbf {m}}$ is contained in a ball with diameter $5\sqrt {n}\cdot 2^{j-k+2}$ and $2^{j_0}\approx \delta ^{-1}$ . In combination with the estimates in Inequalities (3-8)–(3-9) and $2/q=1-2/r$ ,
Similarly, by Hölder’s inequality, Lemma 3.3 and John–Nirenberg’s inequality,
Case 1. $n\geq 2$ and $1<\alpha <n$ .
For any $0<\upsilon \leq 1/2$ and $1<\alpha <n$ , we choose r such that
See Inequality (3-3) for the definition of $A_n^\varepsilon (\delta ,r\alpha /2)$ . By calculation,
then there exists a constant $C_1=C_{\alpha ,\upsilon ,N}$ such that
Case 2. $n=1$ and $0<\alpha <1$ .
For any small $0<\varepsilon \leq 1/4$ and $0<\upsilon '\leq 1/4$ , we choose r such that $2<r<\min \{2/\alpha ,2(3-\varepsilon )/(3-\varepsilon -\upsilon ')\}.$ By calculation,
where $0<\upsilon \leq 1/2$ . Then there exists a constant $C_2=C_{\alpha ,\upsilon ,N}$ such that
Case 3. $n\geq 1$ and $\alpha =0$ .
For any small $0<\upsilon \leq 1/2$ , we just need to select the r such that $2<r<2 (2n+1)/ (2n+1-\upsilon )$ . Then there exists a constant $C_3=C_{0,\upsilon ,N}$ such that
Next we sum up the terms $E^{1}_{j,k,\mathbf {m}}+E^{2}_{j,k,\mathbf {m}}$ over j and $\mathbf {m}$ . Combining the estimates in Inequalities (3-10), (3-11) and (3-12), choosing N such that $N>n(1-2/r)$ , and using the fact that $\mathbb {R}^n=\bigcup _{\mathbf {m}\in \mathbb {Z}^n}Q_{\mathbf {m}}$ and $\{\widetilde {Q}_{\mathbf {m}}\}$ has finite overlaps, then we obtain that there exists a constant $C_{\alpha ,\upsilon }$ such that
where $B^{\upsilon }_{\alpha ,n}(\delta )$ is defined in Equation (1-2) and $C_4=C_1+C_2+C_3$ .
Finally, summing up the terms $I_2(k)$ over k in the estimate in Inequality (3-13) and using the estimate in Inequality (2-7) in Lemma 2.6,
where $n=1,0\leq \alpha <1$ ; $n\geq 2, 1< \alpha <n$ or $n\geq 2$ , $\alpha =0$ .
Combining the estimates in Inequalities (3-4), (3-5) and (3-14) and noting $A^{\upsilon }_{n}(\delta ,\alpha )<B^{\upsilon }_{\alpha ,n}(\delta )$ , we obtain that for any $0<\upsilon \leq 1/2$ ,
Hence, we obtain Proposition 3.1 provided Lemmas 3.2 and 3.3 are proved.
Finally, let us prove Lemmas 3.2 and 3.3.
Proof of Lemma 3.2
We discuss this lemma by distinguishing two cases: $\alpha =0$ and $0<\alpha <n$ .
Case 1. $\alpha =0$ .
Pick a function $\psi \kern1.3pt{\in}\kern1.3pt C_c^{\infty }(\mathbb {R})$ with support $\{s:1\kern1.3pt{\leq}\kern1.3pt |s|\kern1.3pt{\leq}\kern1.3pt 4\}$ such that ${\sum _{\ell \in \mathbb {Z}} \psi (2^{-\ell }s)\kern1.3pt{=}\kern1.3pt1}$ for $ s>0.$ For any $\delta>0$ , let $\psi _{\delta ,\ell }(s)=\psi (2^{-\ell }\delta ^{-1}(1-s))$ for all $\ell \geq 1$ and $\psi _{\delta ,0}(s)=\psi _0(\delta ^{-1}(1-s))$ , where $\psi _0(s)=1-\sum _{\ell \geq 1}\psi (2^{-\ell }s)$ . Then for $k\geq 0$ and $j\geq j_0$ ,
where
Let $i=0,1,\ldots ,i_0=[8\delta ^{-1}]+1$ . $I_i$ is defined by
We decompose $[2^{k-1},2^{k+2}]$ into some intervals $\{I_i\}$ with $[2^{k-1},2^{k+2}]\subseteq \bigcup _{i=0}^{i_0}I_i$ . We see that the $\,dt/t$ measure of $I_i$ is less than $\delta $ . We also define a function $\zeta _i$ associated with $I_i$ by
where $\zeta \in C_c^{\infty }([-1,1])$ and $\sum _{i\in \mathbb {Z}}\zeta (\cdot -i)=1$ . Since $\psi _{\delta ,\ell }(t^{-1}s)\zeta _{i'}(s)= 0$ for every $t\in I_i$ if $i'\notin [i-2^{\ell +6}, i+2^{\ell +6}]$ , then for any $t\in I_i$ ,
Then,
From the estimate in Inequality (3-2) and supp $\psi _{\delta ,\ell }\subseteq [1-2^{\ell +2}\delta ,1+2^{\ell +2}\delta ], \,\text { for all} \ell \in \mathbb {Z}$ , the function $\phi _{\delta ,j}\psi _{\delta ,\ell }$ satisfies
which, together with the $L^2$ -boundedness of the spectral multiplier, implies that
Combining Inequality (3-19) with Inequality (3-17) and using Minkowski’s inequality,
The decomposition of $[2^{k-2},2^{k+1}]$ into $\{I_i\}_{i=0}^{i_0}$ makes sure that the $\,dt/t$ measure of the interval $I_i$ is uniformly less than $\delta $ . Indeed,
It follows that
Combining Inequalities (3-20), (3-21) and using the $L^2$ -estimate of the square function for a Hermite operator gives
Combining Inequalities (3-15) and (3-22) and summing up the terms $P_{k,j,\ell }(f)$ over $\ell $ gives
Case 2. $0<\alpha <n$ . We discuss the estimate for two cases: $2^{k}\geq 2\delta ^{-1/2}$ and $1\leq 2^{k}<2\delta ^{-1/2}$ .
If $k\geq -\log _2\delta ^{1/2}+1$ , we use [Reference Chen, Duong, He, Lee and Yan4, Equations (3.38) and (3.39)] with f in place of $\varphi _k(\!\sqrt {H})f$ to obtain
The procedure is still valid if $\varphi _k(\!\sqrt {H})f$ in [Reference Chen, Duong, He, Lee and Yan4, Equations (3.38) and (3.39)] is replaced by f. This procedure rests on the trace lemma, the weighted Plancherel-type estimate in Inequality (2-2) and the localization strategy that is based on finite speed of propagation. Indeed, Inequality (2-2) gives the bound of spectral multipliers from $L^2(\mathbb {R}^n)$ to $L^2(\mathbb {R}^n,(1+|x|)^{-\alpha })$ . To come back to $L^2(\mathbb {R}^n,(1+|x|)^{-\alpha })$ , when the physical space is near $\{x\in \mathbb {R}^n:|x|\leq 2^{j-k+2}\}$ , the previous procedure adds the weight $(1+|x|)^{-\alpha }$ into the integral, which would bring a factor $2^{(j-k+1)\alpha }$ for $j>k$ . This factor is advantageous when $2^{k}\geq 2\delta ^{-1/2}$ ; however, it is useless when $1\leq 2^{k}<2\delta ^{-1/2}$ . To overcome this, based on Lemma 2.2, we instead consider the operator: $\int _{2^{k-1}}^{2^{k+2}} |\phi _{\delta ,j}(t^{-1}\!\sqrt {H})(I+H)^{\alpha /4} f(x)|^2\,dt/t$ and estimate its bound from $L^2(\mathbb {R}^n)$ to $L^2(\mathbb {R}^n,(1+|x|)^{-\alpha })$ .
If $0\leq k<-\log _2\delta ^{1/2}+1$ , we claim that for any $0<\varepsilon \leq 1/2$ , there exists a constant $C_{\varepsilon ,N}$ such that
Using Inequality (3-24) and Lemma 2.2,
which in combination with Inequality (3-23) proves Lemma 3.2.
We now turn to verify the claim. Similar to the discussion of Inequality (3-15),
where
Arguing as Inequalities (3-16) and (3-17),
The function $\psi _{\delta ,\ell }(t^{-1}s)$ is supported in $[t(1-2^{\ell +2}\delta ),t(1+2^{\ell +2}\delta )]$ . Let $R=1+ [t(1+2^{\ell +2}\delta )]$ . When $n\geq 2$ , using Inequality (2-2) where $1<\alpha <n$ , then
We see that
From the estimate in Inequality (3-18) and the support property of $\psi _{\delta ,\ell }$ , we know that
The length of the interval $[tR^{-1}(1-2^{\ell +2}\delta ),tR^{-1}(1+2^{\ell +2}\delta )]$ is $8tR^{-1}2^\ell \delta $ , and thus
which implies that
Combining Inequalities (3-27)–(3-29) gives
If $2^\ell \delta \leq 1$ , note that $1/2\leq t\approx 2^k\leq C\delta ^{-1/2}$ . It is easy to see that $R\approx t\approx 2^k\leq C\delta ^{-1/2}$ . Then
If $2^\ell \delta \geq 1$ , note that $1/2\leq t\approx 2^k\leq C\delta ^{-1/2}$ . It is easy to see that $R\leq Ct2^\ell \delta $ . Then
Therefore, if $2^k\leq C\delta ^{-1/2}$ ,
As a consequence, for any $N>(\alpha +3)/2$
which, in combination with the $\,dt/t$ measure of $I_i$ is uniformly less than $\delta $ , Fubini’s theorem and the $L^2$ -estimate of square function for Hermite operators, yields
Putting the estimate in Inequality (3-31) into the estimate in Inequality (3-25) and taking the sum over $\ell $ yields
When $n=1$ , this situation can be shown in the same manner as before, the difference is that we use the case where $0<\alpha <1$ in Inequality (2-2). Similar to the discussion of Inequality (3-29),
From the estimate in Inequality (2-2) for the case $n=1,\ 0<\alpha <1$ and the estimates in Inequalities (3-28) and (3-33), then for any $\varepsilon>0$ , there exist constants $C_{\varepsilon }$ and $C_{\varepsilon ,N}$ such that
Similarly to the discussion of Inequality (3-30), if $2^k\leq C\delta ^{-1/2}$ ,
Putting the estimate in Inequality (3-35) into the estimate in Inequality (3-34) yields
In the same manner as the estimates in Inequalities (3-31) and (3-32),
and
which in combination with Inequality (3-32) yields Inequality (3-24), so the claim holds. The proof of Lemma 3.2 is complete.
Proof of Lemma 3.3
The proof of the lemma is inspired by [Reference Hu and Lu17]. For convenience, we use $\|T\|_{p\to q} $ for the operator norm of T if T is a bounded linear operator from $L^p(\mathbb {R}^n)$ to $L^q(\mathbb {R}^n)$ for given $1\leq p,q\leq \infty $ . We first obtain that $T_{j,k}^{\delta }$ is bounded from $L^1(\mathbb {R}^n)$ to $L^{\infty }(\mathbb {R}^n)$ . To do so, we need to estimate $\|\phi _{\delta ,j}(t^{-1}\!\sqrt {H})\|_{1\rightarrow \infty }$ :
By [Reference Duong, Ouhabaz and Sikora10, Lemma 2.2], supp $\psi _{\delta ,\ell }(t^{-1}s)\subseteq \{s\in \mathbb {R}:|s|\leq (1+2^{\ell +2}\delta )t\}$ and Inequality (3-18),
Summing the terms $\|(\phi _{\delta ,j}^{\frac 12}\psi _{\delta ,\ell })(t^{-1}\!\sqrt {H})\|_{2\rightarrow \infty }$ over $\ell $ gives that
Finally, for any $N\in \mathbb {N}$ and $j\geq j_0$ ,
Here, $T_{j,k}^{\delta }$ is a sub-linear operator. Using interpolation (see [Reference Stein and Weiss26, Theorem 2.11] or [Reference Bergh and Löfström2, page 120]) with the estimate in Inequality (3-36) and Lemma 3.2,
where $n\kern1.8pt{=}\kern1.8pt 1,0\kern1.8pt{\leq}\kern1.8pt \alpha \kern1.8pt{<}\kern1.8pt 1$ ; $n\kern1.8pt{\geq}\kern1.8pt 2, 1\kern1.8pt{<}\kern1.8pt \alpha \kern1.8pt{<}\kern1.8ptn$ or $n\kern1.8pt{\geq}\kern1.8pt 2$ , $\alpha \kern1.8pt{=}\kern1.8pt0$ ; $1/r\kern1.8pt{=}\kern1.8pt\theta /2$ and $2\kern1.8pt{<}\kern1.8pt r\kern1.8pt{<}\kern1.8pt \infty $ .
4. Proof of Theorem 1.1
We now begin to prove Theorem 1.1.
Proof. Observe that for any $\lambda>0$ and $\rho <\lambda $ ,
For $\rho <\lambda -1/2$ and $\rho>-1/2$ , we apply the Hölder inequality to obtain
Note that $x_+^{\rho }=\sum _{k\in \mathbb {Z}}2^{-k\rho }\phi (2^kx)$ for some $\phi \in C_c^{\infty } ([1/8,1/2])$ . Let $\phi _k(s)=\phi (2^k(1-s^2))$ , $k\geq 1$ and $\phi _0(s)=\sum _{k\leq 0}2^{-k\rho }\phi (2^k(1-s))$ for $s>0$ . Then,
It follows from Displays (4-1) and (4-2) that
Note that $\phi _0\in C_c^{\infty }$ with support $\{s:0\leq |s|\leq 1\}$ . By Lemma 2.4, for any $0\leq \alpha <n$ ,
Let $\rho =\lambda -1/2-\eta $ for some $\eta>0$ . If $\alpha =0$ and $n\in \mathbb {N}^+$ , by Proposition 3.1, for any $0<\upsilon \leq 1/2$ , there exists a constant $C_{0,\upsilon }>0$ such that
Then the $\mathrm {RHS}$ of Inequality (4-4) is bounded by $C_{0,\upsilon }\|b\|_{\mathrm {BMO}}\|f\|_{L^2(\mathbb {R},(1+|x|)^{-\alpha })}$ provided $\eta ,\upsilon $ are small enough. From the estimates in Inequalities (4-3) and (4-4), we can conclude that $\sup _{R>0}|[b,S_R^{\lambda }(H)]f|$ is bounded on $L^2(\mathbb {R}^n)$ for any $n\in \mathbb {N}^+$ .
Similarly, if $n=1$ and $0<\alpha <1$ , by Proposition 3.1, for any $0<\upsilon \leq 1/2$ , there exists a constant $C_{\alpha ,\upsilon }>0$ such that
Then the $\mathrm {RHS}$ of Inequality (4-5) is bounded by $C_{\alpha ,\upsilon }\|b\|_{\mathrm {BMO}}\|f\|_{L^2(\mathbb {R},(1+|x|)^{-\alpha })}$ provided $\eta ,\upsilon $ are small enough. From the estimates in Inequalities (4-3) and (4-5), we can conclude that $\sup _{R>0}|[b,S_R^{\lambda }(H)]f|$ is bounded on $L^2(\mathbb {R},(1+|x|)^{-\alpha })$ for $0< \alpha <1$ .
If $n\geq 2$ and $1<\alpha <n$ , by Proposition 3.1, for any $0<\upsilon \leq 1/2$ , there exists a constant $C_{\alpha ,\upsilon }>0$ such that
Then the $\mathrm {RHS}$ of Inequality (4-6) is bounded by $C_{\alpha ,\upsilon }\|b\|_{\mathrm {BMO}}\|f\|_{L^2(\mathbb {R}^n,(1+|x|)^{-\alpha })}$ provided $\eta ,\upsilon $ are small enough. From the estimates in Inequalities (4-3) and (4-6), we can conclude that $\sup _{R>0}|[b,S_R^{\lambda }(H)]f|$ is bounded on ${L^2(\mathbb {R}^n,(1+|x|)^{-\alpha })}$ for $1< \alpha <n$ whenever $\lambda>(\alpha -1)/4$ . Combining this with the fact that $\sup _{R>0}|[b,S_R^{\lambda }(H)]f|$ is bounded on $L^2(\mathbb {R}^n)$ , we now use the complex interpolation method to obtain that $\sup _{R>0}|[b,S_R^{\lambda }(H)]f|$ is bounded on the weighted space ${L^2(\mathbb {R}^n,(1+|x|)^{-\alpha })}$ for $0<\alpha \leq 1$ when $n\geq 2$ . First, we deal with $\sup _{R>0}|[b,S_R^{\lambda }(H)]f|$ by Kolmogorov–Seliverstov–Plessner linearization (see [Reference Stein and Weiss27, page 280]). In fact, we define $\mathcal {K}$ as the nonnegative measurable functions on $\mathbb {R}^n$ that only have a finite number of distinct values. Let $\mathcal {R}(x)\in \mathcal {K}$ . It is claimed that
It is easy to see that
The converse inequality can be seen from the fact that we can always choose a series of functions $\mathcal {R}_j(x)\in \mathcal {K}$ such that
By Lebesgue’s dominated convergence theorem,
Therefore, the boundeness of the sub-linear operator $\sup _{R>0}|[b,S_R^{\lambda }(H)]f|$ on $L^2(\mathbb {R}^n,(1+|x|)^{-\alpha })$ is equivalent to
where the constant C is independent of $\mathcal {R}(x)$ . Then the weighted $L^2$ estimate of $[b,S_{\mathcal {R}(x)}^{\lambda }(H)]$ for $0<\alpha \leq 1$ when $\lambda>0$ can be deduced from the complex interpolation theorem (see [Reference Stein and Weiss26, Theorem 2.11]). As a consequence, we obtain that $\sup _{R>0}|[b,S_R^{\lambda }(H)]|$ is bounded on ${L^2(\mathbb {R}^n,(1+|x|)^{-\alpha })}$ for $0<\alpha \leq 1$ if $\lambda>0$ . The proof of Theorem 1.1 is complete.
Finally, we give a proof of Corollary 1.2.
Proof. For any $f\in C_c^\infty (\mathbb {R}^n)$ and supp $f\subseteq B$ for some ball $B\subseteq \mathbb {R}^n$ , then $(b-b_B)f\in L^2(\mathbb {R}^n)$ and $[b,S^{\lambda }_R(H)]f$ are well defined for any $\lambda>0$ . By the a.e. convergence of the Bochner–Riesz operator $S_R^\lambda (H)$ (see [Reference Chen, Duong, He, Lee and Yan4, Theorem 1.1]),
Let $0\leq \alpha <n$ . Theorem 1.1 implies the a.e. convergence of $[b,S^{\lambda }_R(H)]f$ for any $f\in L^2(\mathbb {R}^n,(1+|x|)^{-\alpha })$ if $\lambda>\max \{(\alpha -1)/4,0\}$ .
For given $p\geq 2$ and $\lambda>\lambda (p)/2$ , we can choose $\alpha $ such that ${n(1-2/p)<\alpha <4\lambda +1}$ and $L^p(\mathbb {R}^n)\subseteq L^2(\mathbb {R}^n,(1+|x|)^{-\alpha })$ . Hence, the a.e. convergence of $[b,S^{\lambda }_R(H)]f$ holds for all $f\in L^p(\mathbb {R}^n)$ .
Acknowledgement
The authors would like to thank L. Yan for helpful comments and suggestions.