arXiv Analytics

Sign in

arXiv:1603.07618 [math.CA]AbstractReferencesReviewsResources

Sharp Weighted $L^2$ inequalities for square functions

Rodrigo Banuelos, Adam Osekowski

Published 2016-03-16Version 1

Using Bellman function approach, we present new proofs of weighted $L^2$ inequalities for square functions, with the optimal dependence on the $A_2$ characteristics of the weight and further explicit constants. We study the estimates both in the analytic and probabilistic context, and, as application, obtain related estimates for the classical Lusin and Littlewood-Paley square functions.

Related articles: Most relevant | Search more
arXiv:1409.1065 [math.CA] (Published 2014-09-03)
Inequalities via s-convexity and log-convexity
arXiv:0809.0322 [math.CA] (Published 2008-09-01)
Bellman Function and the $H^1-BMO$ Duality
arXiv:2406.08932 [math.CA] (Published 2024-06-13)
Inequalities for 1/(1-cos(x)) and its derivatives