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Ergodicity and the point spectrum of the Gaussian action

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QAlgorithms.Papers.Independent.Intakethird100.P38.gaussian_ergodicity_iff_point_spectrum

by Gohan · Nov 1, 2026 · Mathlib 0df444a (Lean v4.33.1)

prove2quantum

Let n≥1n\ge1n≥1, let S=S(Rn;C)\mathcal S=\mathcal S(\mathbb R^n;\mathbb C)S=S(Rn;C) have its full Schwartz Fréchet topology, and write ψ^(u)=∫Rne−iu⋅xψ(x) dx\widehat\psi(u)=\int_{\mathbb R^n}e^{-iu\cdot x}\psi(x)\,dxψ​(u)=∫Rn​e−iu⋅xψ(x)dx. Let C\mathcal CC consist of the regular positive Borel measures σ\sigmaσ for which ∫(1+∣u∣2)−p dσ(u)<∞\int(1+|u|^2)^{-p}\,d\sigma(u)<\infty∫(1+∣u∣2)−pdσ(u)<∞ for some nonnegative integer ppp.

Let σ∈C\sigma\in\mathcal Cσ∈C, let μ\muμ have the real characteristic functional of §1(d), and let UUU be the full complex L2(μ)L^2(\mu)L2(μ) Koopman group of distribution shifts θtω(ψ)=ω(ψ(⋅+t))\theta_t\omega(\psi)=\omega(\psi(\cdot+t))θt​ω(ψ)=ω(ψ(⋅+t)). Then

the shift action is ergodic⟺{every nonzero joint eigenvector has frequency a=0,{f:U(t)f=f ∀t}=C1.\text{the shift action is ergodic}\quad\Longleftrightarrow\quad\begin{cases}\text{every nonzero joint eigenvector has frequency }a=0,\\\{f:U(t)f=f\ \forall t\}=\mathbb C\mathbf1.\end{cases}the shift action is ergodic⟺{every nonzero joint eigenvector has frequency a=0,{f:U(t)f=f ∀t}=C1.​

Frequency a∈Rna\in\mathbb R^na∈Rn means U(t)f=eia⋅tfU(t)f=e^{ia\cdot t}fU(t)f=eia⋅tf for every ttt. Ergodicity means that every measurable set invariant modulo null sets under all shifts has probability zero or one. The fixed space has complex dimension one, including when σ=0\sigma=0σ=0.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P38
Formal statement
noncomputable section

namespace QAlgorithms.Papers.Independent.Intakethird100.P38

open MeasureTheory Filter

open scoped Topology ComplexConjugate ENNReal

/-- Theorem 8.3, PDF pp.19--20: in this Gaussian distribution regime, ergodicity
is equivalent to absence of nonzero frequencies together with the one-dimensional
constant fixed space. This is not asserted for arbitrary probability actions. -/
theorem gaussian_ergodicity_iff_point_spectrum (n : ℕ) (hn : 0 < n)
    (σ : Measure (SpectralDomain n)) (hσ : InC σ)
    (μ : Measure (Omega n)) (hμ : CharacteristicLaw σ μ)
    (U : KoopmanFamily μ) (hU : IsKoopman μ U) :
    TrivialPointSpectrum μ U ↔ ShiftErgodic μ := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P38

end
Source
Stochastic processes induced by singular operators, arXiv:1109.5273v1, PDF p. 19, Theorem 8.3: ergodicity and point spectrum
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What the Lean code literally says, in plain math · gpt-6.1-sol

For every positive integer nnn, let X=RFin⁡nX=\mathbb R^{\operatorname{Fin}n}X=RFinn, and let σ\sigmaσ be a regular measure satisfying ∫X(1+∥u∥2)−p dσ(u)<∞\int_X(1+\|u\|^2)^{-p}\,d\sigma(u)<\infty∫X​(1+∥u∥2)−pdσ(u)<∞ for some natural number ppp, possibly zero. Let Ω\OmegaΩ be the continuous real-linear dual of the real-valued Schwartz space on XXX, equipped with the sigma-algebra generated by evaluations. Suppose that μ\muμ is a probability measure on Ω\OmegaΩ such that, for every real-valued Schwartz function ψ\psiψ, the extended nonnegative number

Fσ(ψ)=∫X ⁣ ⁣−∣∫Xe−i⟨u,x⟩ψ(x) dx∣2 dσ(u)F_\sigma(\psi)=\int_X^{\!\!-} \left|\int_X e^{-i\langle u,x\rangle}\psi(x)\,dx\right|^2\,d\sigma(u)Fσ​(ψ)=∫X−​​∫X​e−i⟨u,x⟩ψ(x)dx​2dσ(u)

is finite and ∫Ωeiω(ψ) dμ(ω)=e−toReal⁡(Fσ(ψ))/2\int_\Omega e^{i\omega(\psi)}\,d\mu(\omega)=e^{-\operatorname{toReal}(F_\sigma(\psi))/2}∫Ω​eiω(ψ)dμ(ω)=e−toReal(Fσ​(ψ))/2. Define (Stω)(ψ)=ω(x↦ψ(x+t))(S_t\omega)(\psi)=\omega(x\mapsto\psi(x+t))(St​ω)(ψ)=ω(x↦ψ(x+t)). Let (Ut)t∈X(U_t)_{t\in X}(Ut​)t∈X​ be a family of surjective complex-linear isometries of L2(μ;C)L^2(\mu;\mathbb C)L2(μ;C) such that each StS_tSt​ is measurable and preserves μ\muμ, U0U_0U0​ is the identity, Ut+s=Us∘UtU_{t+s}=U_s\circ U_tUt+s​=Us​∘Ut​ for all t,st,st,s, and Utf=f∘StU_tf=f\circ S_tUt​f=f∘St​ almost everywhere for each t,ft,ft,f. Then the following conjunction is equivalent to the stated property of measurable sets: for every a∈Xa\in Xa∈X and every nonzero f∈L2(μ;C)f\in L^2(\mu;\mathbb C)f∈L2(μ;C),

(∀t∈X, Utf=ei⟨a,t⟩f) ⟹ a=0,\bigl(\forall t\in X,\ U_tf=e^{i\langle a,t\rangle}f\bigr)\ \Longrightarrow\ a=0,(∀t∈X, Ut​f=ei⟨a,t⟩f) ⟹ a=0,

and, for every f∈L2(μ;C)f\in L^2(\mu;\mathbb C)f∈L2(μ;C),

(∀t∈X, Utf=f)⟺∃c∈C, f=[ ω↦c ]μ.\bigl(\forall t\in X,\ U_tf=f\bigr) \quad\Longleftrightarrow\quad \exists c\in\mathbb C,\ f=[\,\omega\mapsto c\,]_\mu.(∀t∈X, Ut​f=f)⟺∃c∈C, f=[ω↦c]μ​.

Here the constant function has its usual L2L^2L2 class because μ\muμ is a probability measure; the underlying class construction returns zero for a function outside L2L^2L2. The equivalent measurable-set property is that every measurable A⊆ΩA\subseteq\OmegaA⊆Ω satisfying, for each t∈Xt\in Xt∈X, Stω∈AS_t\omega\in ASt​ω∈A if and only if ω∈A\omega\in Aω∈A for μ\muμ-almost every ω\omegaω, has μ(A)=0\mu(A)=0μ(A)=0 or μ(A)=1\mu(A)=1μ(A)=1. The exceptional null set in this invariance hypothesis may depend on ttt.

Human review
  • Endorsed by Shuze Chen · Nov 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Gohan · Nov 1, 2026

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

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