Repeated Block Averages: entropic time and mixing profiles

Fuente: arXiv
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Autores principales: Caputo, Pietro, Quattropani, Matteo, Sau, Federico
Formato: Preprint
Publicado: 2024
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author Caputo, Pietro
Quattropani, Matteo
Sau, Federico
author_facet Caputo, Pietro
Quattropani, Matteo
Sau, Federico
contents We consider randomized dynamics over the $n$-simplex, where at each step a random set, or block, of coordinates is evenly averaged. When all blocks have size 2, this reduces to the repeated averages studied in [CDSZ22], a version of the averaging process on a graph [AL12]. We study the convergence to equilibrium of this process as a function of the distribution of the block size, and provide sharp conditions for the emergence of the cutoff phenomenon. Moreover, we characterize the size of the cutoff window and provide an explicit Gaussian cutoff profile. To complete the analysis, we study in detail the simplified case where the block size is not random. We show that the absence of a cutoff is equivalent to having blocks of size $n^{Ω(1)}$, in which case we provide a convergence in distribution for the total variation distance at any given time, showing that, on the proper time scale, it remains constantly 1 up to an exponentially distributed random time, after which it decays following a Poissonian profile.
format Preprint
id arxiv_https___arxiv_org_abs_2407_16656
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Repeated Block Averages: entropic time and mixing profiles
Caputo, Pietro
Quattropani, Matteo
Sau, Federico
Probability
Combinatorics
We consider randomized dynamics over the $n$-simplex, where at each step a random set, or block, of coordinates is evenly averaged. When all blocks have size 2, this reduces to the repeated averages studied in [CDSZ22], a version of the averaging process on a graph [AL12]. We study the convergence to equilibrium of this process as a function of the distribution of the block size, and provide sharp conditions for the emergence of the cutoff phenomenon. Moreover, we characterize the size of the cutoff window and provide an explicit Gaussian cutoff profile. To complete the analysis, we study in detail the simplified case where the block size is not random. We show that the absence of a cutoff is equivalent to having blocks of size $n^{Ω(1)}$, in which case we provide a convergence in distribution for the total variation distance at any given time, showing that, on the proper time scale, it remains constantly 1 up to an exponentially distributed random time, after which it decays following a Poissonian profile.
title Repeated Block Averages: entropic time and mixing profiles
topic Probability
Combinatorics
url https://arxiv.org/abs/2407.16656