A.E. Convergence vs Boundedness
Xinyu Gao, Loukas Grafakos

TL;DR
This paper extends Stein's maximal theorem to bilinear operators on homogeneous spaces with probabilistic methods, establishing weak type bounds and convergence results for bilinear ergodic averages and Bochner--Riesz means.
Contribution
It introduces a bilinear maximal theorem on homogeneous spaces, extending classical results using probabilistic techniques and provides new convergence and boundedness results.
Findings
Proved weak type bounds for bilinear maximal operators.
Established almost everywhere convergence for bilinear ergodic averages.
Extended Stein's lemma to bilinear Rademacher series.
Abstract
We extend Stein's maximal theorem to the bilinear setting. Let be a homogeneous space with a transitive action of a compact abelian group, and let and satisfy . For a family of translation-invariant bilinear operators \[ T_m : L^p(M) \times L^q(M) \to L^r(M), \qquad m \in \mathbb{N}, \] that converge almost everywhere, we prove that the associated maximal operator \[ T^*(f,g) = \sup_m |T_m(f,g)| \] is of weak type . The proof relies on probabilistic methods and a bilinear extension of Stein's lemma for double Rademacher series. We also establish a bilinear analogue of Sawyer's extension of Stein's theorem for positive bilinear operators commuting with a mixing family of measure-preserving transformations. Applications include strong-type boundedness of maximal bilinear tail operators…
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Random Matrices and Applications · Stochastic processes and financial applications
