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Deleting one occurrence from a locally finite counting measure is measurable
Statement
Let Then is measurable in the product evaluation sigma-algebra, and the map defined by is measurable. The subtraction removes one occurrence, so any other occurrences at remain.
Facts & Assumptions
Given: The topological and measurable structures of and from Random measures and locally finite point processes.
There is an increasing compact exhaustion such that every compact subset of is contained in some . (Second-countable locally compact Hausdorff spaces admit compact exhaustions)
Evaluation maps generate the sigma-algebra on , and each is a locally finite measure. (Random measures and locally finite point processes)
A measure kernel has measurable evaluations, and integration of a product-measurable nonnegative function against a uniformly sigma-finite kernel is measurable. (Measure kernel and probability kernel, Measurability of integration against a kernel)
The product sigma-algebra is generated by measurable rectangles, and is generated by the open sets. (The product sigma-algebra and its finite iterates, The Borel sigma-algebra of a topological space)
Proof
On the parameter space define . For each parameter this is a measure, its evaluations are measurable by [F2], and is a common finite-mass exhaustion because for every locally finite . Thus is a uniformly sigma-finite kernel.
The diagonal is closed in because is Hausdorff. The product topology has the countable basis consisting of rectangles from countable bases of the two copies of ; every open set is a countable union of these rectangles. Hence the product Borel sigma-algebra equals , so is product measurable by [F4].
For , . The measurability theorem in [F3] makes measurable; therefore its inverse image of is measurable.
On , is again a locally finite counting measure: in a representation of as a countable sum of point masses, remove one occurrence at ; no compact-set count increases. For every Borel , where is interpreted as . This evaluation is measurable on , since both terms are measurable and on the subtraction is nonnegative. The evaluations generate the target sigma-algebra [F2], so is measurable.
Steps 2.1-3.1 prove measurability of the domain and deletion map, including the multiplicity convention.
Depends on
- Random measures and locally finite point processes
- Second-countable locally compact Hausdorff spaces admit compact exhaustions
- The product sigma-algebra and its finite iterates
- The Borel sigma-algebra of a topological space
- Measure kernel and probability kernel
- Measurability of integration against a kernel
Used by
- Finite-window point-process pseudolikelihood Definition
- Papangelou conditional intensity on a finite window Definition
- A positive finite-window Gibbs density has its density-ratio Papangelou intensity Lemma
- Campbell, Laplace, Mecke, and Cox moment formulas Theorem
- Mecke identity for locally finite Poisson point processes Theorem
Dependency tree · two levels
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Sources
- Gunter Last and Mathew Penrose, Lectures on the Poisson Process, author-hosted 2017 version (standard reference, not scraped)