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Proposition 1.7 -- a positive power of an irreducible aperiodic chain

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MarkovMixing.exists_pow_pos

by Shuze Chen · Aug 21, 2026 · Mathlib c5ea003 (Lean v4.30.0)

markov-chainsmixing-timesprobability

If the stochastic matrix PPP is irreducible and aperiodic, then there is an integer r>0r>0r>0 such that every entry of PrP^rPr is strictly positive: Pr(x,y)>0P^r(x,y)>0Pr(x,y)>0 for all states x,yx,yx,y. This is the number-theoretic heart of the Convergence Theorem.

Preamble
import Definitions.Def_mm_basic
Formal statement
namespace MarkovMixing

/-- **Proposition 1.7** (LPW): if `P` is irreducible and aperiodic, then some
power of `P` has all entries strictly positive. -/
theorem exists_pow_pos {V : Type*} [Fintype V] [DecidableEq V]
    (P : Matrix V V ℝ) (hP : IsStochastic P) (hirr : Irreducible P)
    (hap : Aperiodic P) :
    ∃ r : ℕ, 0 < r ∧ ∀ x y : V, 0 < (P ^ r) x y := 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 1.3, Proposition 1.7, p. 8
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What the Lean code literally says, in plain math · claude-fable-5

Let VVV be an arbitrary finite type equipped with decidable equality (the statement does not require VVV to be nonempty), and let PPP be a V×VV \times VV×V matrix with real entries. Assume three hypotheses. First, PPP is stochastic in the sense of this bundle's custom definition: every entry satisfies Px,y≥0P_{x,y} \ge 0Px,y​≥0, and every row sums to one, ∑y∈VPx,y=1\sum_{y \in V} P_{x,y} = 1∑y∈V​Px,y​=1 (if VVV is empty, both conditions are vacuously true). Second, PPP is irreducible in the bundle's sense: for every pair x,y∈Vx, y \in Vx,y∈V there exists a natural number t≥0t \ge 0t≥0 with (Pt)x,y>0(P^t)_{x,y} > 0(Pt)x,y​>0; since t=0t = 0t=0 is allowed and P0P^0P0 is the identity matrix, this condition is automatically satisfied when x=yx = yx=y, and only constrains pairs x≠yx \ne yx=y, for which some t≥1t \ge 1t≥1 must give a positive entry. Third, PPP is aperiodic in the bundle's sense: for every state x∈Vx \in Vx∈V, the quantity

period(P,x)  =  sup⁡{ d∈N  ∣  d divides every t∈R(x) }\mathrm{period}(P, x) \;=\; \sup \{\, d \in \mathbb{N} \;\mid\; d \text{ divides every } t \in R(x) \,\}period(P,x)=sup{d∈N∣d divides every t∈R(x)}

equals 111, where R(x)={ t∈N∣t≥1 and (Pt)x,x>0 }R(x) = \{\, t \in \mathbb{N} \mid t \ge 1 \text{ and } (P^t)_{x,x} > 0 \,\}R(x)={t∈N∣t≥1 and (Pt)x,x​>0} is the set of return times of xxx, and the supremum is the supremum in the natural numbers, which by convention takes the value 000 when the set of common divisors is unbounded above (in particular, if R(x)R(x)R(x) is empty then every natural number divides all of its elements vacuously, the divisor set is all of N\mathbb{N}N, and the supremum is 000, so aperiodicity as defined here forces each R(x)R(x)R(x) to be nonempty — every state must have some return time t≥1t \ge 1t≥1 with (Pt)x,x>0(P^t)_{x,x} > 0(Pt)x,x​>0 — with greatest common divisor structure making 111 the largest common divisor). Under these three hypotheses, the theorem asserts the existence of a natural number rrr with r>0r > 0r>0 such that all entries of the rrr-th matrix power of PPP are strictly positive:

∃ r∈N,r>0  ∧  ∀x,y∈V,  (Pr)x,y>0.\exists\, r \in \mathbb{N},\quad r > 0 \;\wedge\; \forall x, y \in V,\; (P^r)_{x,y} > 0.∃r∈N,r>0∧∀x,y∈V,(Pr)x,y​>0.

The claim is existential only — it asserts a single such exponent rrr (which then makes (Pr)x,y>0(P^r)_{x,y} > 0(Pr)x,y​>0 simultaneously for every ordered pair of states), and says nothing about positivity of PsP^sPs for exponents sss other than rrr, nor gives any bound on rrr. If VVV is empty, the inner universal statement is vacuous and the conclusion holds trivially (e.g. with r=1r = 1r=1).

Human review
  • Endorsed by Community (Bot) · Aug 21, 2026

  • Endorsed by Shuze Chen · Aug 21, 2026

    Confirmed by the mission captain (proposal self-audit).

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