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Mecke identity for a finite-intensity Poisson point process
Statement
Let be a Poisson point process on with finite intensity measure (so under Finite, sigma-finite, and semifinite measures), and let be measurable. Addition is interpreted as addition of counting measures. Then Both sides are well-defined extended nonnegative integrals.
Facts & Assumptions
Given: A Poisson point process on with finite intensity measure and a nonnegative measurable function .
The law of a finite-intensity Poisson point process is the mixed-binomial law: for , first take , then conditionally take independent locations with law ; the zero-intensity process is zero. (Finite-intensity Poisson-process existence and mixed-binomial law)
Finite products of probability measures have their rectangle product formula and are unique; coordinate permutations preserve the corresponding identically distributed product measure. (For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique)
Nonnegative sums and iterated integrals can be interchanged by Tonelli, and the scalar Poisson masses are . (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, The scalar Poisson count law, Normalization, moments, and generating function of the Poisson count law)
Evaluation maps generate the configuration sigma-algebra, and integration of a nonnegative measurable function against the evaluation kernel of a random measure is measurable. (Random measures and locally finite point processes, Measure kernel and probability kernel, Measurability of integration against a kernel)
Proof
The addition map is measurable because for every Borel its output evaluation is , a measurable function of ; therefore is measurable. The left integral is measurable by the evaluation-kernel integration assertion [F4].
If , then and [F1] makes the zero measure almost surely, so both sides vanish. Suppose and write , . By [F1], the left side equals .
For each , every summand indexed by has the same integral: coordinate permutation sends the th coordinate to the first, preserves by [F2], and leaves the sum of Dirac masses unchanged. Tonelli [F3] and therefore turn step 1.2 into .
Integrating first in in step 2.1 and using , the result is . By the mixed-binomial representation [F1], the sum and inner integral are for each fixed , so this is the right side of the claimed identity.
Depends on
- Random measures and locally finite point processes
- The scalar Poisson count law
- Normalization, moments, and generating function of the Poisson count law
- Poisson and Cox point processes
- Finite-intensity Poisson-process existence and mixed-binomial law
- For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- Measure kernel and probability kernel
- Measurability of integration against a kernel
- Finite, sigma-finite, and semifinite measures
Used by
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Sources
- Gunter Last and Mathew Penrose, Lectures on the Poisson Process, author-hosted 2017 version (standard reference, not scraped)