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The product condition is necessary for cutoff

Proved
MarkovMixing.cutoff_necessary

by Shuze Chen · Aug 22, 2026 · Mathlib 0df444a (Lean v4.33.1)

markov-chainsmixing-timesprobability

Consider a family of chains P(n)P^{(n)}P(n) on finite state spaces, each irreducible and aperiodic, each reversible with respect to its stationary distribution πn\pi_nπn​ (detailed balance πn(x)P(n)(x,y)=πn(y)P(n)(y,x)\pi_n(x)P^{(n)}(x,y)=\pi_n(y)P^{(n)}(y,x)πn​(x)P(n)(x,y)=πn​(y)P(n)(y,x)). For each chain: dn(t)=max⁡x∥P(n)t(x,⋅)−πn∥TVd_n(t)=\max_x\|P^{(n)t}(x,\cdot)-\pi_n\|_{TV}dn​(t)=maxx​∥P(n)t(x,⋅)−πn​∥TV​ is the worst-case total variation distance, tmix(n)(ε)=min⁡{t:dn(t)≤ε}t^{(n)}_{\mathrm{mix}}(\varepsilon)=\min\{t:d_n(t)\le\varepsilon\}tmix(n)​(ε)=min{t:dn​(t)≤ε} with tmix(n)=tmix(n)(1/4)t^{(n)}_{\mathrm{mix}}=t^{(n)}_{\mathrm{mix}}(1/4)tmix(n)​=tmix(n)​(1/4); among the eigenvalues (real λ\lambdaλ with Pf=λfP f=\lambda fPf=λf, f≠0f\ne0f=0), λ⋆\lambda_\starλ⋆​ is the largest absolute value of an eigenvalue ≠1\ne1=1, and trel(n)=(1−λ⋆)−1t^{(n)}_{\mathrm{rel}}=(1-\lambda_\star)^{-1}trel(n)​=(1−λ⋆​)−1 is the relaxation time (Mission VII). The family has a cutoff when tmix(n)(ε)/tmix(n)(1−ε)→1t^{(n)}_{\mathrm{mix}}(\varepsilon)/t^{(n)}_{\mathrm{mix}}(1-\varepsilon)\to1tmix(n)​(ε)/tmix(n)​(1−ε)→1 for every 0<ε<10<\varepsilon<10<ε<1.

The theorem (Proposition 18.4 of Levin–Peres–Wilmer) asserts: if the mixing times grow to infinity but stay comparable to the relaxation times — tmix(n)≤C trel(n)t^{(n)}_{\mathrm{mix}}\le C\,t^{(n)}_{\mathrm{rel}}tmix(n)​≤Ctrel(n)​ for a fixed constant CCC — then the family has no cutoff.

The product condition trel=o(tmix)t_{\mathrm{rel}}=o(t_{\mathrm{mix}})trel​=o(tmix​) is therefore necessary for cutoff. The reason: the relaxation-time lower bound of Mission VII gives tmix(ε)≥(trel−1)log⁡(1/2ε)t_{\mathrm{mix}}(\varepsilon)\ge(t_{\mathrm{rel}}-1)\log(1/2\varepsilon)tmix​(ε)≥(trel​−1)log(1/2ε), so if trelt_{\mathrm{rel}}trel​ is proportional to tmixt_{\mathrm{mix}}tmix​, shrinking ε\varepsilonε inflates tmix(ε)/tmixt_{\mathrm{mix}}(\varepsilon)/t_{\mathrm{mix}}tmix​(ε)/tmix​ beyond any bound — an eigenfunction decaying only like λ⋆t\lambda_\star^tλ⋆t​ keeps the collapse from being abrupt. Whether the product condition is also sufficient for reversible families was a famous question of Peres; it fails in general, which makes this necessary direction the definitive elementary statement.

Preamble
import Definitions.Def_mm_cutoff
Formal statement
namespace MarkovMixing

/-- **Proposition 18.4** (LPW): a necessary condition for (pre-)cutoff: for
a sequence of reversible irreducible aperiodic chains, if `t_mix/t_rel`
stays bounded, then even the weak cutoff ratio fails — the mixing-time
ratios `t_mix(ε)/t_mix(1−ε)` do not tend to `1` for small `ε`; in
particular the sequence has no cutoff. -/
theorem cutoff_necessary {V : ℕ → Type*} [∀ n, Fintype (V n)]
    [∀ n, DecidableEq (V n)] [∀ n, Nonempty (V n)]
    (P : ∀ n, Matrix (V n) (V n) ℝ) (π : ∀ n, V n → ℝ)
    (hP : ∀ n, IsStochastic (P n)) (hirr : ∀ n, Irreducible (P n))
    (hap : ∀ n, Aperiodic (P n)) (hπ : ∀ n, IsStationary (P n) (π n))
    (hrev : ∀ n, DetailedBalance (P n) (π n))
    (C : ℝ) (hC : 0 < C)
    (hbound : ∀ n, (tMix (P n) (π n) : ℝ) ≤ C * relaxationTime (P n))
    (hgrow : Filter.Tendsto (fun n => tMix (P n) (π n)) Filter.atTop Filter.atTop) :
    ¬HasCutoff P π := by
  sorry

end MarkovMixing
Source
D. A. Levin, Y. Peres, E. L. Wilmer, Markov Chains and Mixing Times, AMS 2009, https://documents.epfl.ch/groups/i/ip/ipg/www/2013-2014/Random_Walks/markovmixing.pdf, Section 18.3, Proposition 18.4, p. 252

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