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Weighted boundedness for the maximal operator associated with matrices

Gonzalo Ibañez-Firnkorn

Abstract

In this paper we study the boundedness on $L^p(w)$ of the maximal operator $M_{A^{-1}}$, defined by $M_{A^{-1}}f(x)=Mf(A^{-1}x)$, that is, the maximal of Hardy-Littlewood composed with a invertible matrix $A$. We present two different results of boundedness and provide a characterization for a particular case of matrices. The main novelty lies in examples illustrating the difference between the class of weights with a matrix, $\mathcal{A}_{A,p}$, and the classical Muckenhoupt weight class, $\mathcal{A}_{p}$. Finally, we extend these results to the fractional framework, considering the fractional maximal operator $M_{α, A^{-1}}$.

Weighted boundedness for the maximal operator associated with matrices

Abstract

In this paper we study the boundedness on of the maximal operator , defined by , that is, the maximal of Hardy-Littlewood composed with a invertible matrix . We present two different results of boundedness and provide a characterization for a particular case of matrices. The main novelty lies in examples illustrating the difference between the class of weights with a matrix, , and the classical Muckenhoupt weight class, . Finally, we extend these results to the fractional framework, considering the fractional maximal operator .
Paper Structure (13 sections, 18 theorems, 46 equations)

This paper contains 13 sections, 18 theorems, 46 equations.

Key Result

Theorem 1.1

Let $A$ be a invertible matrix, $1<p<\infty$. Suppose that $\varphi$ is a Young function such that $\overline{\varphi}\in B_{p}$ and $w\in \mathcal{A}_{A,p,\varphi}$ then $M_{A^{-1}}$ is bounded on $L^p(w)$.

Theorems & Definitions (28)

  • Theorem 1.1
  • Remark 1.2
  • Theorem 1.3
  • Theorem 1.4
  • Corollary 1.5
  • Proposition 1.6
  • Proposition 1.7
  • Proposition 1.8
  • Theorem 1.9
  • Theorem 1.10
  • ...and 18 more