Criterion for convergence almost everywhere, with applications
E. Ostrovsky, L. Sirota

TL;DR
This paper establishes the exact condition for almost sure convergence of measurable function sequences and explores applications in Fourier series and random fields.
Contribution
It provides the necessary and sufficient criterion for convergence almost everywhere, advancing theoretical understanding in measure theory.
Findings
Derived the criterion for almost sure convergence
Applied results to Fourier series
Applied results to random fields
Abstract
We derive the necessary and sufficient condition for almost sure convergence of the sequence of measurable functions, and consider some applications in the theory of Fourier series and in the theory of random fields.
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.
Taxonomy
TopicsAdvanced Harmonic Analysis Research · Mathematical Approximation and Integration · Stochastic processes and financial applications
