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Related papers: Total variation cutoff in a tree

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We study the simple random walk on trees and give estimates on the mixing and relaxation time. Relying on a recent characterization by Basu, Hermon and Peres, we give geometric criteria, which are easy to verify and allow to determine…

Probability · Mathematics 2021-04-13 Nina Gantert , Evita Nestoridi , Dominik Schmid

We study the time that the simple exclusion process on the complete graph needs to reach equilibrium in terms of total variation distance. For the graph with n vertices and 1<<k<n/2 particles we show that the mixing time is of order…

Probability · Mathematics 2011-12-14 Hubert Lacoin , Remi Leblond

A sequence of Markov chains is said to exhibit (total variation) cutoff if the convergence to stationarity in total variation distance is abrupt. We consider reversible lazy chains. We prove a necessary and sufficient condition for the…

Probability · Mathematics 2018-01-19 Riddhipratim Basu , Jonathan Hermon , Yuval Peres

Given a sequence $(\mathfrak{X}_i, \mathscr{K}_i)_{i=1}^\infty$ of Markov chains, the cut-off phenomenon describes a period of transition to stationarity which is asymptotically lower order than the mixing time. We study mixing times and…

Number Theory · Mathematics 2021-05-25 Bob Hough

In this paper, we investigate the properties of a random walk on the alternating group $A_n$ generated by $3$-cycles of the form $(i,n-1,n)$ and $(i,n,n-1)$. We call this the transpose top-$2$ with random shuffle. We find the spectrum of…

Probability · Mathematics 2021-01-05 Subhajit Ghosh

The total-variation cutoff phenomenon has been conjectured to hold for simple random walk on all transitive expanders. However, very little is actually known regarding this conjecture, and cutoff on sparse graphs in general. In this paper…

Probability · Mathematics 2022-08-17 Michael Chapman , Ori Parzanchevski

We examine the mixing time for random walks on graphs. In particular we are interested on investigating graphs with bottlenecks. Furthermore, the cutoff phenomenon is examined.

Probability · Mathematics 2019-07-02 Ioannis Papageorgiou

We show that for lazy simple random walks on finite spherically symmetric trees, the ratio of the mixing time and the relaxation time is bounded by a universal constant. Consequently, lazy simple random walks on any sequence of finite…

Probability · Mathematics 2022-05-26 Rafael Chiclana , Yuval Peres

We survey recent results concerning the total-variation mixing time of the simple exclusion process on the segment (symmetric and asymmetric) and a continuum analog, the simple random walk on the simplex with an emphasis on cutoff results.…

Probability · Mathematics 2021-11-15 Hubert Lacoin

The cutoff phenomenon describes the case when an abrupt transition occurs in the convergence of a Markov chain to its equilibrium measure. There are various metrics which can be used to measure the distance to equilibrium, each of which…

Probability · Mathematics 2018-01-29 Jonathan Hermon , Hubert Lacoin , Yuval Peres

The cutoff phenomenon describes a sharp transition in the convergence of a family of ergodic finite Markov chains to equilibrium. Many natural families of chains are believed to exhibit cutoff, and yet establishing this fact is often…

Probability · Mathematics 2019-12-19 Eyal Lubetzky , Allan Sly

Establishing cutoff, an abrupt transition from "not mixed" to "well mixed", is a classical topic in the theory of mixing times for Markov chains. Interest has grown recently in determining not only the existence of cutoff and the order of…

Probability · Mathematics 2024-12-11 Evita Nestoridi , Sam Olesker-Taylor

In this article, we consider products of random walks on finite groups with moderate growth and discuss their cutoffs in the total variation. Based on several comparison techniques, we are able to identify the total variation cutoff of…

Probability · Mathematics 2017-05-01 Guan-Yu Chen , Takashi Kumagai

In this article, we consider products of ergodic Markov chains and discuss their cutoffs in the total variation. Through a new inequality relating the total variation and the Hellinger distance, we may identify the total variation cutoffs…

Probability · Mathematics 2017-02-13 Guan-Yu Chen , Takashi Kumagai

We study the properties of random walks on complex trees. We observe that the absence of loops reflects in physical observables showing large differences with respect to their looped counterparts. First, both the vertex discovery rate and…

Statistical Mechanics · Physics 2008-10-21 Andrea Baronchelli , Michele Catanzaro , Romualdo Pastor-Satorras

The cutoff phenomenon describes a case where a Markov chain exhibits a sharp transition in its convergence to stationarity. In 1996, Diaconis surveyed this phenomenon, and asked how one could recognize its occurrence in families of finite…

Probability · Mathematics 2008-10-06 Jian Ding , Eyal Lubetzky , Yuval Peres

We consider the total cost of cutting down a random rooted tree chosen from a family of so-called very simple trees (which include ordered trees, $d$-ary trees, and Cayley trees); these form a subfamily of simply generated trees. At each…

Probability · Mathematics 2007-05-23 James Allen Fill , Nevin Kapur , Alois Panholzer

We find Gaussian cutoff profiles for the total variation distance to stationarity of a random walk on a multiplex network: a finite number of directed configuration models sharing a vertex set, each with its own bounded degree distribution…

Probability · Mathematics 2024-03-19 John Fernley , Balázs Gerencsér

We make a connection between the continuous time and lazy discrete time Markov chains through the comparison of cutoffs and mixing time in total variation distance. For illustration, we consider finite birth and death chains and provide a…

Probability · Mathematics 2013-04-18 Guan-Yu Chen , Laurent Saloff-Coste

We analyse a random walk on the ring of integers mod $n$, which at each time point can make an additive `step' or a multiplicative `jump'. When the probability of making a jump tends to zero as an appropriate power of $n$ we prove the…

Probability · Mathematics 2016-02-26 Michael E. Bate , Stephen B. Connor
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