2019•arXiv (Cornell University)Open access

Sharp matrix weighted weak and strong type inequalities for the dyadic square function

Joshua Isralowitz

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Abstract

In this paper we refine the recent sparse domination of the integrated $p = 2$ matrix weighted dyadic square function by T. Hytonen, S. Petermichl, and A. Volberg to prove a pointwise sparse domination of general matrix weighted dyadic square functions. We then use this to prove quantitative two matrix weighted estimates for the matrix weighted dyadic square function and along the way prove quantitative two matrix weighted estimates for the matrix weighted maximal function. In particular, we prove sharp two matrix weighted weak and strong type inequalities for matrix weighted dyadic square functions when $1 < p \leq 2$ and prove sharp two matrix weighted weak type inequalities for the matrix weighted maximal function.

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What this paper is about

In this paper we refine the recent sparse domination of the integrated $p = 2$ matrix weighted dyadic square function by T. Hytonen, S. Petermichl, and A. Volberg to prove a pointwise sparse domination of general matrix weighted dyadic square functions. We then use this to prove quantitative two matrix weighted estimates for the matrix weighted dyadic square function and along the way prove quantitative two matrix weighted estimates for the matrix weighted maximal function. In particular, we prove sharp two matrix weighted weak and strong type inequalities for matrix weighted dyadic square functions when $1 < p \leq 2$ and prove sharp two matrix weighted weak type inequalities for the matrix weighted maximal function.

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Available abstract

In this paper we refine the recent sparse domination of the integrated $p = 2$ matrix weighted dyadic square function by T. Hytonen, S. Petermichl, and A. Volberg to prove a pointwise sparse domination of general matrix weighted dyadic square functions. We then use this to prove quantitative two matrix weighted estimates for the matrix weighted dyadic square function and along the way prove quantitative two matrix weighted estimates for the matrix weighted maximal function. In particular, we prove sharp two matrix weighted weak and strong type inequalities for matrix weighted dyadic square functions when $1 < p \leq 2$ and prove sharp two matrix weighted weak type inequalities for the matrix weighted maximal function.

Key concepts: Mathematics, Matrix function, Square matrix, Square root of a 2 by 2 matrix, Matrix (chemical analysis), Pointwise, Square (algebra), Function (biology)

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