Accelerating abelian random walks with hyperbolic dynamics
成果类型:
Article
署名作者:
Dubail, Bastien; Massoulie, Laurent
署名单位:
Universite PSL; Ecole Normale Superieure (ENS); Centre National de la Recherche Scientifique (CNRS); Inria; Centre National de la Recherche Scientifique (CNRS); Aix-Marseille Universite
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051
DOI:
10.1007/s00440-022-01128-x
发表日期:
2022
页码:
939-968
关键词:
automorphisms
摘要:
Given integers d >= 2, n >= 1, we consider affine random walks on torii (Z/nZ)(d) defined as Xt+1 = AX(t) + B-t mod n, where A is an element of GL(d)(Z) is a invertible matrix with integer entries and (B-t)(t >= 0) is a sequence of iid random increments on Z(d). We show that when A has no eigenvalues of modulus 1, this random walk mixes in O (log n log log n) steps as n -> infinity, and mixes actually in O (log n) steps only for almost all n. These results are similar to those of Chung et al. (Ann Probab 15(3):1148-1165, 1987) on the so-called Chung-Diaconis-Graham process, which corresponds to the case d = 1. Our proof is based on the initial arguments of Chung, Diaconis and Graham, and relies extensively on the properties of the dynamical system x bar right arrow A(inverted perpendicular) x on the continuous torus R-d /Z(d). Having no eigenvalue of modulus one makes this dynamical system a hyperbolic toral automorphism, a typical example of a chaotic system known to have a rich behaviour. As such our proof sheds new light on the speed-up gained by applying a deterministic map to a Markov chain.
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