Markov chains on finite fields with deterministic jumps
Probability
2022-03-08 v3 Number Theory
Abstract
We study the Markov chain on obtained by applying a function and adding with equal probability. When is a linear function, this is the well-studied Chung--Diaconis--Graham process. We consider two cases: when is the extension of a rational function which is bijective, and when . In the latter case, the stationary distribution is not uniform and we characterize it when . In both cases, we give an almost linear bound on the mixing time, showing that the deterministic function dramatically speeds up mixing. The proofs involve establishing bounds on exponential sums over the union of short intervals.
Cite
@article{arxiv.2010.10668,
title = {Markov chains on finite fields with deterministic jumps},
author = {Jimmy He},
journal= {arXiv preprint arXiv:2010.10668},
year = {2022}
}
Comments
v3: final version. 18 pages, comments are welcome!