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OP-8742Status unassessedProbability

Non-backtracking vs. simple random walk

Markov chain mixing times · Historical workshop question

Editorial mapping of AIMPL source category: Probability. http://aimpl.org/markovmixing/ Not an author-supplied MSC code.

Historical list · status unassessedAs of 2026-09-08Source & evidence ↓

Problem statement

Is it true that the lazy non-backtracking random walk (NBRW) mixes faster than the lazy simple random walk (SRW)?

Lean 4

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Background

Workshop introduction

In general, we will use the following notation in the problem list. We consider aperiodic irreducible Markov chains on a state space, Ω\Omega with unique invariant (stationary) distribution π\pi. In the discrete time setting we allow the matrix (P)x,y∈Ω(P)_{x,y\in\Omega} with Pxy=P(x,y)P_{xy}=P(x,y) to denote the transition matrix of the Markov chain.

A chain is reversible if π(x)P(x,y)=π(y)P(y,x)\pi(x)P(x,y)=\pi(y)P(y,x) for all x,y∈Ωx,y\in\Omega. Q(x,y)=π(x)P(x,y)Q(x,y)=\pi(x)P(x,y) is the edge measure on (x,y)(x,y). We denote by t\mboxmixt_{\mbox{mix}} the total variation mixing time defined as

t\mboxmix(ϵ)=inf⁡{t:sup⁡ω0∈Ω∥Pt(ω0,⋅)−π(⋅)∥TV≤ϵ} ,t_{\mbox{mix}}(\epsilon)=\inf\{t:\sup_{\omega_0\in\Omega}\|P^t(\omega_0,\cdot)-\pi(\cdot)\|_{TV}\leq \epsilon\}\,,

and set t\mboxmix=t\mboxmix(ϵ)t_{\mbox{mix}}=t_{\mbox{mix}}(\epsilon), where the total variation distance

∥μ−ν∥TV=12∥μ−ν∥ℓ1 .\|\mu-\nu\|_{TV}=\tfrac 12 \|\mu-\nu\|_{\ell^1}\,.

Section context

For a nonreversible chain with transition matrix P(x,y)P(x,y), define its time-reversal by P^(x,y)=(π(x))−1π(y)P(y,x)\hat P(x,y)=(\pi(x))^{-1}\pi(y)P(y,x). Then the symmetrization of the chain is given by the Markov chain with transition matrix 12(P+P^)\frac 12 (P+\hat P).

Progress & source assessment

Historical workshop record. Current open/solved status has not been independently reassessed.

Status note in the source

Hubert Lacoin and Jonathan Hermon counterexample: let TT be a GW tree of depth nn. The harmonic measures of SRW and NBRW at the boundary of TT are singular. On each point of the boundary reached by NBRW, add a path of length n1+εn^{1+\varepsilon}, with ε<1/2\varepsilon<1/2. Repeat this graph on n2n^2 levels. Join the Cn3C^{n^3} leaves of this graph by an expander, with mixing time of order n3n^3. With this construction, the worst starting point of both walks is the original root, and mixing comes down to reaching the expander. The NBRW is slowed down by paths, and the ratio of mixing times tends to infinity.

References
  1. [1]Markov chain mixing times link

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