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Kendall's renewal theorem: geometric convergence of vnv_nvn​ forces ∑kakκk<∞\sum_k a_k\kappa^k<\infty∑k​ak​κk<∞

Proved
MarkovChainCLT.kendall_summable_geometric_of_renewal_tendsto_geometric

by Zexuan Liu · Sep 7, 2026 · Mathlib c5ea003 (Lean v4.30.0)

geometric-ergodicitymarkov-chainprobabilityrenewal-theory

Kendall's renewal theorem, the geometric-convergence direction. Let a=(ak)k≥1a = (a_k)_{k \ge 1}a=(ak​)k≥1​ be a probability distribution on the positive integers (ak≥0a_k \ge 0ak​≥0, a0=0a_0 = 0a0​=0, ∑kak=1\sum_k a_k = 1∑k​ak​=1), and let vvv be its renewal sequence: v0=1v_0 = 1v0​=1 and

vn=∑k=1nak vn−k(n≥1),v_n = \sum_{k=1}^{n} a_k\, v_{n-k} \qquad (n \ge 1),vn​=k=1∑n​ak​vn−k​(n≥1),

so that vnv_nvn​ is the probability that a renewal occurs at time nnn when inter-renewal times are i.i.d. with law aaa. Suppose vvv converges geometrically to a positive limit: there are v∞>0v_\infty > 0v∞​>0, MMM and ρ∈[0,1)\rho \in [0,1)ρ∈[0,1) with

∣vn−v∞∣≤M ρn(n≥0).|v_n - v_\infty| \le M\,\rho^n \qquad (n \ge 0).∣vn​−v∞​∣≤Mρn(n≥0).

Then the inter-renewal law has a geometric tail: there is κ>1\kappa > 1κ>1 with

∑kak κk<∞.\sum_{k} a_k\, \kappa^k < \infty .k∑​ak​κk<∞.

This is the implication (i) ⇒\Rightarrow⇒ (ii) of Kendall's Theorem as stated in Meyn and Tweedie (Theorem 15.1.1), and it is the analytic engine behind the equivalence "geometric ergodicity ⇔\Leftrightarrow⇔ geometric drift" (their Theorem 15.0.1) that the source invokes in Remark 1. In the present mission it is what the remaining open leaf geoDriftCondition_of_geometricallyErgodic needs: applied to the renewal sequence vk=ε (QPn0(k−1))(C)v_k = \varepsilon\,(Q P^{n_0(k-1)})(C)vk​=ε(QPn0​(k−1))(C) of a small set CCC with minorization Pn0(x,⋅)≥εQP^{n_0}(x,\cdot) \ge \varepsilon QPn0​(x,⋅)≥εQ on CCC (and QQQ concentrated where the geometric rate constant is bounded), it turns the geometric total-variation convergence at the points of CCC into geometric tails for the regeneration times, which is condition (ii) of Theorem 15.0.1 and yields the drift function V(x)=Ex[∑k≤σCκk]V(x) = E_x\bigl[\sum_{k \le \sigma_C} \kappa^k\bigr]V(x)=Ex​[∑k≤σC​​κk].

Proof idea. Write A(z)=∑kakzkA(z) = \sum_k a_k z^kA(z)=∑k​ak​zk and V(z)=∑nvnznV(z) = \sum_n v_n z^nV(z)=∑n​vn​zn for ∣z∣<1|z| < 1∣z∣<1; the renewal equation is V(z)(1−A(z))=1V(z)(1 - A(z)) = 1V(z)(1−A(z))=1. The hypothesis says H(z)=∑n(vn−v∞)znH(z) = \sum_n (v_n - v_\infty) z^nH(z)=∑n​(vn​−v∞​)zn is analytic on ∣z∣<1/ρ|z| < 1/\rho∣z∣<1/ρ, so G(z):=(1−z)V(z)=v∞+(1−z)H(z)G(z) := (1-z)V(z) = v_\infty + (1-z)H(z)G(z):=(1−z)V(z)=v∞​+(1−z)H(z) extends analytically to ∣z∣<1/ρ|z| < 1/\rho∣z∣<1/ρ and satisfies G(z)(1−A(z))=1−zG(z)(1 - A(z)) = 1 - zG(z)(1−A(z))=1−z on the open unit disc. GGG has no zero on the closed unit disc: G(1)=v∞>0G(1) = v_\infty > 0G(1)=v∞​>0, and at a point z0≠1z_0 \neq 1z0​=1 of the unit circle a zero of GGG would force ∣1−A(rz0)∣=∣1−rz0∣/∣G(rz0)∣→∞|1 - A(r z_0)| = |1 - r z_0|/|G(r z_0)| \to \infty∣1−A(rz0​)∣=∣1−rz0​∣/∣G(rz0​)∣→∞ as r↑1r \uparrow 1r↑1, contradicting ∣A∣≤1|A| \le 1∣A∣≤1. By compactness GGG is zero-free on a disc ∣z∣<r|z| < r∣z∣<r with r>1r > 1r>1, so 1−(1−z)/G(z)1 - (1-z)/G(z)1−(1−z)/G(z) is analytic there and coincides with AAA on the unit disc; uniqueness of power series coefficients and Cauchy's estimates give ∑kakκk<∞\sum_k a_k \kappa^k < \infty∑k​ak​κk<∞ for every 1<κ<r1 < \kappa < r1<κ<r. No aperiodicity hypothesis is needed: it is implied by the convergence of vnv_nvn​ to a positive limit.

Formalization Note The renewal recursion is written with the index shift vn+1=∑j=0naj+1vn−jv_{n+1} = \sum_{j=0}^{n} a_{j+1} v_{n-j}vn+1​=∑j=0n​aj+1​vn−j​ to keep natural-number subtraction honest. The distribution is normalised by HasSum a 1; the limit v∞v_\inftyv∞​ must be positive (for a defective or periodic law the renewal sequence does not converge geometrically to a positive limit, so nothing is lost). The conclusion is stated as summability of akκka_k \kappa^kak​κk for some κ>1\kappa > 1κ>1, the form in which it is consumed (a finite geometric moment of the inter-renewal time).

Preamble
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Topology.Algebra.InfiniteSum.Real

open Filter
open scoped Topology BigOperators
Formal statement
theorem MarkovChainCLT.kendall_summable_geometric_of_renewal_tendsto_geometric
    (a : ℕ → ℝ) (ha0 : ∀ k, 0 ≤ a k) (ha_zero : a 0 = 0) (hsum : HasSum a 1)
    (v : ℕ → ℝ) (hv0 : v 0 = 1)
    (hv : ∀ n : ℕ, v (n + 1) = ∑ j ∈ Finset.range (n + 1), a (j + 1) * v (n - j))
    (vlim M ρ : ℝ) (hvlim : 0 < vlim) (hρ0 : 0 ≤ ρ) (hρ1 : ρ < 1)
    (hconv : ∀ n : ℕ, |v n - vlim| ≤ M * ρ ^ n) :
    ∃ κ : ℝ, 1 < κ ∧ Summable (fun k : ℕ => a k * κ ^ k) := by sorry
Source
S. P. Meyn & R. L. Tweedie, Markov Chains and Stochastic Stability, Springer 1993 (2nd ed. Cambridge University Press 2009), Theorem 15.1.1 (Kendall's Theorem), implication (i) => (ii); original: D. G. Kendall, "Unitary dilations of Markov transition operators, and the corresponding integral representations for transition-probability matrices", in U. Grenander (ed.), Probability and Statistics: The Harald Cramér Volume, Almqvist & Wiksell, Stockholm, 1959, pp. 139-161. Role in the mission: G. L. Jones, "On the Markov Chain Central Limit Theorem", Probability Surveys 1 (2004) 299-320, arXiv math/0409112v2, Section 2, Remark 1 (arXiv v2 pp. 3-4): "geometric ergodicity is equivalent to (5) (Meyn and Tweedie, 1993, Chapter 16)", whose proof (Theorem 15.0.1, (i) => (ii)) rests on Kendall's theorem.

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