The complete characterization of a.s. convergence of orthogonal series
Witold Bednorz

TL;DR
This paper provides a complete characterization of almost sure convergence of orthogonal series using the existence of a majorizing measure, linking convergence to measure-theoretic conditions on the series coefficients.
Contribution
It introduces a new characterization of a.s. convergence of orthogonal series via majorizing measures, extending previous partial results.
Findings
Characterization of a.s. convergence in terms of majorizing measures
Conditions involving measure on a specific set T
Application of weakly majorizing measures and partitioning scheme
Abstract
In this paper we prove the complete characterization of a.s. convergence of orthogonal series in terms of existence of a majorizing measure. It means that for a given , , series is a.e. convergent for each orthonormal sequence if and only if there exists a measure on \[T=\{0\}\cup\Biggl\{\sum^m_{n=1}a_n^2,m\geq 1\Biggr\}\] such that \[\sup_{t\in T}\int^{\sqrt{D(T)}}_0(m(B(t,r^2)))^{-{1}/{2}}\,dr<\infty,\] where and . The presented approach is based on weakly majorizing measures and a certain partitioning scheme.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
