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Factorial and reduced factorial moment measures are well-defined and locally finite

Statement

Assume AC and Countable Choice as inherited through the random-point-process supplier. Let η be a locally square-integrable stationary point process. The pathwise second factorial measure η(2) is measurable as a random measure; its expectation α(2) and the reduced second factorial moment measure αred(2) of Second factorial and reduced second factorial moment measures are Borel measures, finite on bounded sets.

Facts & Assumptions

Given: AC, Countable Choice, a random locally finite counting measure η on Rd, stationarity, and E[η(K)2]<∞ for every compact K.

[A1]

AC is carried by the transitive point-process supplier dependencies; this proof makes no selection. (The Axiom of Choice)

[A2]

Countable Choice is carried by the transitive point-process supplier dependencies; this proof makes no selection. (The Axiom of Countable Choice (ACω))

[F1]

A point process is a measurable random element into locally finite counting measures; each realization is a finite or countable sum of Dirac masses, with repetitions allowed, and evaluations generate the configuration sigma-algebra. (Random measures and locally finite point processes)

[F2]

For sigma-finite measures the product measure exists and has the rectangle formula. (For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique)

[F3]

Parameterized nonnegative integration against an evaluation kernel is measurable. (Measure kernel and probability kernel, Measurability of integration against a kernel)

[F4]

A countable nonnegative sum of measures is a measure. (Nonnegative scalar multiples and countable weighted sums of measures are measures)

[F5]

Increasing limits pass through nonnegative expectations and integrals; pointwise limits of measurable extended-real functions are measurable. (Monotone convergence for the integral, Expectation of a nonnegative or integrable random variable, Sequential suprema, infima, limsup, liminf, and pointwise limits of measurable functions are measurable)

[F6]

Local square integrability gives E[η(K)2]<∞ for every compact K. (Second factorial and reduced second factorial moment measures)

Proof

Given: The stated locally square-integrable stationary point process and its occurrence-indexed definitions.

1.1F1F2F4algebra

Fix a realization μ=∑i∈JδXi. Define μ(2):=∑i,j∈J, i≠jδ(Xi,Xj) directly as a countable sum of Dirac measures; [F4] makes it a measure, and it is finite on compact subsets of R2d because μ(K)2<∞ for a compact K containing both coordinate projections. On every bounded Borel C, this agrees with (μ⊗μ)(C)−(Δ#μ)(C), where Δ(x)=(x,x): both terms are finite there and the second removes exactly the equal-index pairs. Thus no subtraction of infinite values is used.

2.1step 1.1F1F3F5

Let Kn=[−n,n]d. For each Borel C⊆R2d, the evaluations (μ⊗μ)(C∩(Kn×Kn)) and Δ#μ(C∩(Kn×Kn)) are measurable functions of μ: the first is obtained by two successive integrations against the evaluation kernel [F3], and the second is evaluation on the Borel preimage under the continuous diagonal map [F1]. Both are finite; their difference is nonnegative and, by step 1.1, equals μ(2)(C∩(Kn×Kn)). These values increase to μ(2)(C) because Kn×Kn increases to all of R2d. Hence [F5] makes μ↦μ(2)(C) measurable.

3.1step 2.1F5F6

For pairwise disjoint Borel Cj, countable additivity of each η(2) gives η(2)(⋃jCj)=∑jη(2)(Cj) pointwise; [F5] passes the increasing partial sums through expectation. Thus α(2) is a measure. If C is bounded, choose compact K with C⊆K×K; then η(2)(C)≤η(K)2, so [F6] gives α(2)(C)<∞.

4.1step 2.1step 3.1F5F6

For Borel D⊆Rd, GD={(x,y):x∈Q, y−x∈D} is Borel because (x,y)↦y−x is continuous and Q is Borel. The map D↦η(2)(GD) is the pushforward under (x,y)↦y−x of the restriction of η(2) to Q×Rd, so it is a measure; it is measurable in η by step 2.1. Taking expectations and using [F5] shows αred(2) is a measure. If D is bounded, GD is contained in K×K for some compact K containing Q‾ and Q‾+D‾, so η(2)(GD)≤η(K)2 and [F6] makes its expectation finite.

5.1A1A2step 1.1step 2.1step 3.1step 4.1∎

Steps 1.1–4.1 establish the occurrence-indexed factorial measures, their measurability, and local finiteness. Multiplicity is retained because only equal occurrence indices are removed in step 1.1. The axioms [A1]–[A2] are inherited supplier assumptions and are not used by this construction.

Sources

Last and Penrose, Chapter 4, §4.2 and Chapter 8, Proposition 8.7 proof; Baddeley, Lecture 2, §§2.3–2.4. The local proof supplies measurability and handles multiplicities explicitly.

Depends on

Used by

Cited to discharge well-definedness by Second factorial and reduced second factorial moment measures.

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Sources