A quantitative multiparameter mean ergodic theorem
Andrei Sipos

TL;DR
This paper applies proof mining techniques to derive a computable, uniform rate of metastability for the mean ergodic theorem involving multiple commuting linear contractive operators on uniformly convex Banach spaces.
Contribution
It introduces a novel proof mining approach to obtain explicit rates of metastability for the mean ergodic theorem in a multiparameter setting.
Findings
Derived a computable rate of metastability for the theorem
Extended the mean ergodic theorem to multiple operators
Provided uniform bounds applicable across classes of spaces
Abstract
We use techniques of proof mining to obtain a computable and uniform rate of metastability (in the sense of Tao) for the mean ergodic theorem for a finite number of commuting linear contractive operators on a uniformly convex Banach space.
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.
