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Proposition 7.13 -- lower bound for the lazy hypercube walk

Proved
MarkovMixing.hypercube_lower_bound

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

markov-chainsmixing-timesprobability

The lazy random walk on the nnn-dimensional hypercube has state space {0,1}n\{0,1\}^n{0,1}n; at each step it stays put with probability 12\tfrac1221​ and otherwise flips a uniformly chosen coordinate. Its stationary distribution is uniform. Write Pt(x,⋅)P^t(x,\cdot)Pt(x,⋅) for the law at time ttt started at xxx, ∥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)∣ for the total variation distance, and d(t)=max⁡x∥Pt(x,⋅)−unif∥TVd(t)=\max_x\|P^t(x,\cdot)-\mathrm{unif}\|_{TV}d(t)=maxx​∥Pt(x,⋅)−unif∥TV​.

The theorem (Proposition 7.13 of Levin–Peres–Wilmer) asserts: for every n≥2n\ge2n≥2, every α>0\alpha>0α>0, and every integer time

t  ≤  12 nlog⁡n−αn,one hasd(t)  ≥  1−8 e 1−2α.t\;\le\;\tfrac12\,n\log n-\alpha n,\qquad\text{one has}\qquad d(t)\;\ge\;1-8\,e^{\,1-2\alpha}.t≤21​nlogn−αn,one hasd(t)≥1−8e1−2α.

So slightly before time 12nlog⁡n\tfrac12 n\log n21​nlogn the walk is still essentially unmixed. The distinguishing statistic is the Hamming weight: started at the all-ones vertex, the number of ones stays measurably above its equilibrium level until the last slow coordinates have been refreshed. Combined with the matching upper bound, this pins the hypercube's mixing time at 12nlog⁡n\tfrac12 n\log n21​nlogn to leading order.

Preamble
import Definitions.Def_mm_lower
import Mathlib.Analysis.SpecialFunctions.Log.Basic
Formal statement
namespace MarkovMixing

/-- **Proposition 7.13** (LPW): for the lazy random walk on the
`n`-dimensional hypercube, `d(½ n log n − α n) ≥ 1 − 8 e^{-2α+1}`.  (Stated
for every integer time `t ≤ ½ n log n − α n`.) -/
theorem hypercube_lower_bound (n : ℕ) (hn : 2 ≤ n) (α : ℝ) (hα : 0 < α)
    (t : ℕ) (ht : (t : ℝ) ≤ 2⁻¹ * n * Real.log n - α * n) :
    1 - 8 * Real.exp (1 - 2 * α) ≤
      distStationary (hypercubeWalk n) (uniformDist (Fin n → ZMod 2)) t := 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 7.3.1, Proposition 7.13, p. 95

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