Effective estimates of ergodic quantities illustrated on the Bolyai-R\'enyi map
Mark Pollicott, Julia Slipantschuk

TL;DR
This paper introduces a practical method for high-precision estimation of ergodic quantities related to transfer operators, demonstrated on the Bolyai-Rényi map, combining approximation bounds with a min-max approach.
Contribution
It presents a novel combination of explicit error bounds and min-max methods for rigorous high-precision estimates of ergodic quantities.
Findings
Improved rigorous estimates for ergodic quantities of the Bolyai-Rényi map.
Demonstrated effectiveness of the method in high-precision calculations.
Applicable to a range of transfer operator-related ergodic problems.
Abstract
We present a practical and effective method for rigorously estimating quantities associated to top eigenvalues of transfer operators to very high precision. The method combines explicit error bounds of the Lagrange-Chebyshev approximation with an established min-max method. We illustrate its applicability by significantly improving rigorous estimates on various ergodic quantities associated to the Bolyai-R\'enyi map.
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
TopicsMathematical Approximation and Integration · Advanced Mathematical Modeling in Engineering · Numerical methods in inverse problems
