Uniform scaling limits for ergodic measures
Dynamical Systems
2017-03-30 v1 Probability
Abstract
We prove that ergodic measures on one-sided shift spaces are uniformly scaling in the sense of Gavish. That is, given a shift ergodic measure we prove that at almost every point the scenery distributions weakly converge to a common distribution on the space of measures. Moreover, we give an explicit description of the limiting distribution in terms of a `reverse Jacobian' function associated with the corresponding measure on the space of left infinite sequences.
Cite
@article{arxiv.1502.05610,
title = {Uniform scaling limits for ergodic measures},
author = {Jonathan M. Fraser and Mark Pollicott},
journal= {arXiv preprint arXiv:1502.05610},
year = {2017}
}
Comments
12 pages