Abstract

We prove a sharp inequality for the ratio of the maximal functions of nonnegative martingales and their differential subordinates. An application in the theory of weighted inequalities is given.

Highlights

  • Suppose that (Ω, F, P) is a complete probability space, filtered with a nondecreasing right-continuous family (Ft)t≥0 of sub-σ-fields of F, such that F0 contains all the events of probability 0

  • We prove a sharp inequality for the ratio of the maximal functions of nonnegative martingales and their differential subordinates

  • Let X, Y be two adapted martingales, taking values in a certain separable Hilbert space H with norm | · | and scalar product denoted by the dot ·

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Summary

Introduction

Suppose that (Ω, F , P) is a complete probability space, filtered with a nondecreasing right-continuous family (Ft)t≥0 of sub-σ-fields of F , such that F0 contains all the events of probability 0. Throughout the paper we will assume that the process Y is dominated by X in the sense of the so-called differential subordination: following Bañuelos and Wang [1] and Wang [17], we say that Y is differentially subordinate to X, if the process ([X, X]t − [Y, Y ]t)t≥0 is nondecreasing and nonnegative as a function of t The origins of this domination principle go back to the works of Burkholder [3] in the discrete-time case: a martingale g = (gn)n≥0 is differentially subordinate to f = (fn)n≥0, if for any n ≥ 0 we have |dgn| ≤ |dfn| almost surely. Observe that the inequalities of Theorems 1.1 and 1.2 can be regarded as comparisons of sizes of X and Y measured separately in terms of strong or weak Lp norms and, as such, they do not say anything about the joint behavior of X and Y From this point of view, a very natural functional to study is the ratio |Y |/|X|. The final part of the paper is devoted to some applications of the estimate (1.2) in the theory of weighted inequalities

A special function and its properties
An application
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