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Kingman's subadditive ergodic theorem

Lax606786.KingmanTheorem · concepts/Lax606786/KingmanTheorem.lean · lax-606786

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    Natural Language Statement

    Theorem

    Let σ\sigma be an ergodic measure-preserving transformation of a probability space (Ω,μ)(\Omega, \mu), and let (fn)(f_n) be a subadditive family of integrable functions over σ\sigma. Then there is a constant C∈[−∞,∞)C \in [-\infty, \infty) such that

    C=lim⁡n→∞1n∫fn dμand1nfn(ω)→Cfor μ-a.e. ω.C = \lim_{n \to \infty} \tfrac1n \int f_n \, d\mu \qquad \text{and} \qquad \tfrac1n f_n(\omega) \to C \quad \text{for } \mu\text{-a.e. } \omega.

    Limits are taken in the extended reals [−∞,∞][-\infty, \infty]. The theorem is due to Kingman (1968).

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    Evidence

    Each proof establishes this claim relative to its assumptions.

    In the paper

    • page 6 of this submission's paper

    Lean source view on GitLab

    1import Lax606786.SubadditiveFamilies
    2import Mathlib.Dynamics.Ergodic.Ergodic
    3import Mathlib.MeasureTheory.Integral.Bochner.Basic
    4import Mathlib.Data.EReal.Operations
    5
    6/-!
    7---
    8title: Kingman's subadditive ergodic theorem
    9type: theorem
    10---
    11Let σ\sigma be an ergodic measure-preserving transformation of a probability space
    12(Ω,μ)(\Omega, \mu), and let (fn)(f_n) be a subadditive family of integrable functions over σ\sigma.
    13Then there is a constant C∈[−∞,∞)C \in [-\infty, \infty) such that
    14C=lim⁡n→∞1n∫fn dμand1nfn(ω)→Cfor μ-a.e. ω.C = \lim_{n \to \infty} \tfrac1n \int f_n \, d\mu \qquad \text{and} \qquad \tfrac1n f_n(\omega) \to C \quad \text{for } \mu\text{-a.e. } \omega.
    15
    16Limits are taken in the extended reals [−∞,∞][-\infty, \infty]. The theorem is due to Kingman
    17(1968).
    18-/
    19
    20namespace Lax606786.KingmanTheorem
    21
    22open MeasureTheory Filter Topology
    23open Lax606786.SubadditiveFamilies
    24
    25/-- Kingman's theorem: `f_n / n` converges almost everywhere to the constant
    26`C = lim (1/n) ∫ f_n ∈ [-∞, ∞)`. -/
    27axiom kingman {Ω : Type*} [MeasurableSpace Ω] (μ : Measure Ω) [IsProbabilityMeasure μ]
    28 (σ : Ω → Ω) (hσ : Ergodic σ μ) (f : ℕ → Ω → ℝ) (hf : IsSubadditiveFamily σ f)
    29 (hint : ∀ n, Integrable (f n) μ) :
    30 ∃ C : EReal, C ≠ ⊤ ∧
    31 Tendsto (fun n : ℕ => (((∫ ω, f n ω ∂μ) / n : ℝ) : EReal)) atTop (𝓝 C) ∧
    32 ∀ᵐ ω ∂μ, Tendsto (fun n : ℕ => (f n ω / n : EReal)) atTop (𝓝 C)
    33
    34end Lax606786.KingmanTheorem
    35
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