English

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

Probability 2013-03-20 v1

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 (an)n=1(a_n)^{\infty}_{n=1}, an>0a_n>0, series n=1anφn\sum^{\infty}_{n=1}a_n\varphi_n is a.e. convergent for each orthonormal sequence (φn)n=1(\varphi_n)^{\infty}_{n=1} if and only if there exists a measure mm on T={0}{n=1man2,m1}T=\{0\}\cup\Biggl\{\sum^m_{n=1}a_n^2,m\geq 1\Biggr\} such that suptT0D(T)(m(B(t,r2)))1/2dr<,\sup_{t\in T}\int^{\sqrt{D(T)}}_0(m(B(t,r^2)))^{-{1}/{2}}\,dr<\infty, where D(T)=sups,tTstD(T)=\sup_{s,t\in T}|s-t| and B(t,r)={sT:str}B(t,r)=\{s\in T:|s-t|\leq r\}. The presented approach is based on weakly majorizing measures and a certain partitioning scheme.

Keywords

Cite

@article{arxiv.1303.4547,
  title  = {The complete characterization of a.s. convergence of orthogonal series},
  author = {Witold Bednorz},
  journal= {arXiv preprint arXiv:1303.4547},
  year   = {2013}
}

Comments

Published in at http://dx.doi.org/10.1214/11-AOP712 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)