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Theorem 7.3 -- the bottleneck ratio bound

Proved
MarkovMixing.bottleneck_lower_bound

by Shuze Chen · Aug 21, 2026 · Mathlib 0df444a (Lean v4.33.1)

markov-chainsmixing-timesprobability

Let PPP be an irreducible, aperiodic Markov chain on a finite state space VVV with stationary distribution π\piπ. The edge measure Q(x,y)=π(x)P(x,y)Q(x,y)=\pi(x)P(x,y)Q(x,y)=π(x)P(x,y) is the stationary flow along (x,y)(x,y)(x,y); the bottleneck ratio of a set of states SSS is

Φ(S)=Q(S,Sc)π(S)=∑x∈S∑y∉Sπ(x)P(x,y)π(S),\Phi(S)=\frac{Q(S,S^c)}{\pi(S)}=\frac{\sum_{x\in S}\sum_{y\notin S}\pi(x)P(x,y)}{\pi(S)},Φ(S)=π(S)Q(S,Sc)​=π(S)∑x∈S​∑y∈/S​π(x)P(x,y)​,

the conditional probability at stationarity of escaping SSS in one step; and the bottleneck constant is Φ⋆=min⁡{Φ(S):∅≠S, π(S)≤12}\Phi_\star=\min\{\Phi(S):\varnothing\ne S,\ \pi(S)\le\tfrac12\}Φ⋆​=min{Φ(S):∅=S, π(S)≤21​}. The mixing time tmixt_{\mathrm{mix}}tmix​ is the first ttt at which max⁡x∥Pt(x,⋅)−π∥TV≤14\max_x\|P^t(x,\cdot)-\pi\|_{TV}\le\tfrac14maxx​∥Pt(x,⋅)−π∥TV​≤41​, with ∥μ−ν∥TV=max⁡A∣μ(A)−ν(A)∣\|\mu-\nu\|_{TV}=\max_A|\mu(A)-\nu(A)|∥μ−ν∥TV​=maxA​∣μ(A)−ν(A)∣ the total variation distance.

The theorem (Theorem 7.3 of Levin–Peres–Wilmer, the capstone of Chapter 7) asserts:

tmix  ≥  14 Φ⋆.t_{\mathrm{mix}}\;\ge\;\frac{1}{4\,\Phi_\star}.tmix​≥4Φ⋆​1​.

A chain with a bottleneck — a half-space it leaves only reluctantly — mixes slowly: started inside such a set, the chain needs order 1/Φ(S)1/\Phi(S)1/Φ(S) steps to transfer the requisite mass out. This is the qualitative converse of the Cheeger inequality of Mission VII.

Preamble
import Definitions.Def_mm_lower
Formal statement
namespace MarkovMixing

/-- **Theorem 7.3** (LPW), the bottleneck-ratio bound and capstone of
Chapter 7: `t_mix ≥ 1/(4 Φ⋆)`. -/
theorem bottleneck_lower_bound {V : Type*} [Fintype V] [DecidableEq V] [Nonempty V]
    (P : Matrix V V ℝ) (hP : IsStochastic P) (hirr : Irreducible P)
    (hap : Aperiodic P) (π : V → ℝ) (hπ : IsStationary P π) :
    (4 * bottleneckStar P π)⁻¹ ≤ (tMix P π : ℝ) := 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 7.2, Theorem 7.3, p. 89

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