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相关论文: Sharp bounds for $t$-Haar multipliers on $L^2$

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We extend the definitions of dyadic paraproduct and t-Haar multipliers to dyadic operators that depend on the complexity (m,n), for m and n positive integers. We will use the ideas developed by Nazarov and Volberg to prove that the weighted…

经典分析与常微分方程 · 数学 2013-06-28 Jean Carlo Moraes , María Cristina Pereyra

We present necessary and sufficient conditions on triples of weights $(u,v,w)$ for the boundedness of the dyadic weighted square function $S_w$ from $L^2(u)$ into $L^2(v)$. We use this characterization to obtain necessary and sufficient…

经典分析与常微分方程 · 数学 2025-01-28 Daewon Chung , Jean Carlo Moraes , María Cristina Pereyra , Brett Wick

Let $W$ denote a matrix $A_2$ weight. In this paper, we implement a scalar argument using the square function to deduce square-function type results for vector-valued functions in $L^2(\mathbb{R},\mathbb{C}^d)$. These results are then used…

经典分析与常微分方程 · 数学 2016-02-08 Kelly Bickel , Stefanie Petermichl , Brett Wick

In this paper, we provide necessary and sufficient conditions on a triple of weights $(u,v,w)$ so that the $t$-Haar multipliers $T^t_{w,\sigma}$, $t\in \R$, %defined in \cite{P} when $\sigma=1$, are uniformly (on the choice of signs…

经典分析与常微分方程 · 数学 2025-01-28 Daewon Chung , Weiyan Huang , Jean Carlo Moraes , María Cristina Pereyra , Brett D. Wick

We provide elementary proofs for the terms that are left in the work of Kelly Bickel, Sandra Pott, Maria C. Reguera, Eric T. Sawyer, Brett D. Wick who proved the sharp weighted $A_2$ bound for Haar shifts and Haar multiplier. Our proofs use…

经典分析与常微分方程 · 数学 2020-10-09 Chih-Chieh Hung , Chun-Yen Shen

We show that if an operator T is bounded on weighted Lebesgue space L^2(w) and obeys a linear bound with respect to the A_2 constant of the weight, then its commutator [b,T] with a function b in BMO will obey a quadratic bound with respect…

经典分析与常微分方程 · 数学 2011-03-10 Daewon Chung , Cristina Pereyra , Carlos Perez

We study the natural resolution of the conjugated Haar multiplier $M_{w^{\frac{1}{2}}}T_{\sigma}M_{w^{-\frac{1}{2}}},$ where the multiplication operators $M_{w^{\pm\frac{1}{2}}}$ are decomposed into their canonical paraproduct…

经典分析与常微分方程 · 数学 2016-02-08 Kelly Bickel , Eric T. Sawyer , Brett D. Wick

In this note we give a sharp weighted estimate for square function from $L^2(w)$ to $L^2(w)$, $w\in A_2$. This has been known. But we also give a sharpening of this weighted estimate in the spirit of $T1$-type testing conditions. Finally we…

经典分析与常微分方程 · 数学 2022-09-26 P. Ivanisvili , P. Mozolyako , A. Volberg

We consider here a problem of finding the sharp estimate for the boundedness of an arbitrary Calder\'on-Zygmund operator in $L^2(w)$, $w\in A_2$. We first prove that for $A_2$ weight $w$ one has that the norm a Calderon--Zygmund operator…

偏微分方程分析 · 数学 2010-06-15 Carlos Perez , Sergei Treil , Alexander Volberg

In terms of the Fourier-Haar coefficients, a criterion is obtained for the function $f (x_1,x_2)$ to belong to the net space $N_{\bar{p},\bar{q}}(M)$ and to the Lebesgue space $L_{\bar{p}}[0,1]^2$ with mixed metric, where…

经典分析与常微分方程 · 数学 2020-09-03 A. N. Bashirova , E. D. Nursultanov

As a corollary to our main theorem we give a new proof of the result that the norm of the Hilbert transform on L^2(w) has norm bounded by a the A_2 characteristic of a weight to the first power, a theorem of one of us. This new proof begins…

经典分析与常微分方程 · 数学 2012-05-04 Michael T. Lacey , Stefanie Petermichl , Maria Carmen Reguera

The Hilbert transform has a linear bound in the $A_{2}$ characteristic on weighted $L^{2}$, \begin{equation*} \left\Vert H\right\Vert _{L^{2}(w)\rightarrow L^{2}(w)}\lesssim \left[ w \right] _{A_{2}}, \end{equation*} and we extend this…

经典分析与常微分方程 · 数学 2014-01-14 Sandra Pott , Maria Carmen Reguera , Eric T. Sawyer , Brett D. Wick

Following the ideas of A. Lerner, F. Nazarov, S. Ombrosi from [12] we prove that there is a sequence of weights $w\in A^d_1$ such that $[w]^d_{A_1}\to \infty$, and martingale transforms $T$ such that with an absolute positive $c$ $\|T:…

偏微分方程分析 · 数学 2018-04-10 Paata Ivanisvili , Alexander Volberg

Let $L_{p,w},\ 1 \le p<\infty,$ denote the weighted $L_p$ space of functions on the unit ball $\Bbb B^d$ with a doubling weight $w$ on $\Bbb B^d$. The Markov factor for $L_{p,w}$ on a polynomial $P$ is defined by $\frac{\|\, |\nabla…

经典分析与常微分方程 · 数学 2022-01-19 Jiansong Li , Heping Wang , Kai Wang

In a recent work by Cruz-Uribe et al. was obtained that \[|\{x\in{\mathbb{R}^d}:w(x)|G(fw^{-1})(x)|>\alpha\}|\lesssim\frac{[w]_{A_1}^2}{\alpha}\int_{{\mathbb{R}^d}}|f|dx\] both in the matrix and scalar settings, where $G$ is either the…

经典分析与常微分方程 · 数学 2024-04-16 Andrei Lerner , Kangwei Li , Sheldy Ombrosi , Israel P. Rivera-Ríos

We improve on several weighted inequalities of recent interest by replacing a part of the A_p bounds by weaker A_\infty estimates involving Wilson's A_\infty constant \[ [w]_{A_\infty}':=\sup_Q\frac{1}{w(Q)}\int_Q M(w\chi_Q). \] In…

经典分析与常微分方程 · 数学 2011-03-30 Tuomas Hytönen , Carlos Pérez

The paper provides a complement to the classical results on Fourier multipliers on $L^p$ spaces. In particular, we prove that if $q\in (1,2)$ and a function $m:\mathbb{R} \rightarrow \mathbb{C}$ is of bounded $q$-variation uniformly on the…

经典分析与常微分方程 · 数学 2014-05-14 Sebastian Król

We consider weights $w$ and their cut-offs: $w_a(t)=w(t)$ if $w(t)\le a$ and $w_a(t)=a$ if $w(t)> a$. We consider a generalized $A_p$-``norm'' and prove that the ``norm'' of $w_a$ is not greater then the ``norm'' of $w$. Our proof in the…

偏微分方程分析 · 数学 2010-08-24 Alexander Reznikov , Vasiliy Vasyunin , Alexander Volberg

We consider the weight w: 1<w<T on the unit circle and prove that the corresponding orthonormal polynomials can grow.

经典分析与常微分方程 · 数学 2017-05-31 Sergey Denisov

Let $ Tf =\sum_{ I} \varepsilon_I \langle f,h_{I^+}\rangle h_{I^-}$. Here, $ \lvert \varepsilon _I\rvert=1 $, and $ h_J$ is the Haar function defined on dyadic interval $ J$. We show that, for instance, \begin{equation*} \lVert T \rVert _{L…

经典分析与常微分方程 · 数学 2018-11-06 Wei Chen , Rui Han , Michael T. Lacey
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