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Stationarity and intensity of a periodized empirical field

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). For L>0 and a finite configuration ω⊂ΛL with N(ω)=N, the measure RL,ω of Periodized empirical field of a finite configuration is a stationary probability law of finite intensity and ρ(RL,ω)=NLd. For any probability law CL on finite configurations in ΛL with ECLN<∞, its empirical-field barycenter CˉL is also a stationary probability law of finite intensity and ρ(CˉL)=ECLN/Ld.

Facts & Assumptions

Given: The Axiom of Countable Choice and the half-open cube ΛL, a finite simple configuration ω⊂ΛL, and, when the barycenter is used, a law CL with ECLN<∞; use Periodized empirical field of a finite configuration.

[F1]

Periodized empirical field of a finite configuration: RL,ω averages the translations of the LZd-periodic continuation over one fundamental cube.

[F2]

Local-Tame Topology: stationarity means invariance under every translation and finite intensity means finite expected count in a unit cell. The notation in Periodized empirical field of a finite configuration is ρ(P)=EPN[0,1)d.

Proof

Given: The hypotheses and definitions in Facts & Assumptions.

1.1F1F3algebra

By [F1], RL,ω is the push-forward of normalized Lebesgue probability on ΛL, so it is a probability measure. For a bounded measurable local f and y∈Rd, RL,ω(f∘Ty)=L−d∫ΛLf(Tx+yω(L)) dx. The integrand is LZd-periodic in x. The translated cube ΛL+y is another fundamental region for this lattice; partitioning it and ΛL into their finitely many translated intersections and using translation invariance of Lebesgue measure gives equal integrals. Hence RL,ω(f∘Ty)=RL,ω(f) for every y, so RL,ω is stationary.

2.1F1F2F3step 1.1algebra

For bounded Borel A, Tonelli's theorem and the periodic continuation give RL,ω(NA)=L−d∫ΛL∑q∈ω∑k∈Zd1A(q+Lk+x) dx. For each fixed q∈ω, the sets ΛL+Lk partition Rd up to null boundaries. Translating variables in each integral therefore makes the inner sum of integrals equal to ∣A∣. Summing over the N representatives gives RL,ω(NA)=N∣A∣/Ld. Taking A=[0,1)d proves ρ(RL,ω)=N/Ld and finite intensity.

3.1F1F2step 2.1algebra∎

The barycenter CˉL is a probability mixture of the stationary laws RL,ω, so it is stationary. By step 2.1 and Tonelli, ρ(CˉL)=ECL[RL,ω(N[0,1)d)]=ECLN/Ld<∞. Thus it belongs to the finite-intensity stationary domain of τL.

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