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Coordinate maps and permutations are measurable on finite products
Statement
Let , , be finitely many measurable spaces, with , and equip with its finite product sigma-algebra. If are measurable, then the tuple is measurable. If all factors equal one measurable space , every coordinate permutation is measurable, where .
Facts & Assumptions
Given: The finite product sigma-algebra convention, measurable coordinate maps, and the stated coordinate-permutation convention.
The finite product sigma-algebra is generated by the finite measurable rectangles. The product sigma-algebra and its finite iterates
A measurable rectangle is a product of measurable sets in the coordinate spaces. Measurable rectangles in a product of measurable spaces
A map is measurable when the preimage of each measurable target set is measurable. A measurable function between measurable spaces
A sigma-algebra is closed under complements and countable unions, hence under finite intersections. Sigma-algebras
Each coordinate map is -measurable.
Proof
By induction on , the finite product sigma-algebra is generated by the -coordinate rectangles. The base case is . At the induction step, let be the sigma-algebra generated by -coordinate rectangles. For each measurable last-coordinate set , the class of first-coordinate sets with is a sigma-algebra: it contains the whole first product since the whole-first-product times is a coordinate rectangle, and complements and countable unions follow by relative difference inside that set and by countable unions. It contains the -coordinate rectangles by construction, so it contains the recursively defined -fold product sigma-algebra. Thus contains every rectangle used in the recursive binary product. Conversely, each -coordinate rectangle belongs to that recursive product sigma-algebra by its defining binary rectangle clause, so the two generated sigma-algebras agree.
For a generating rectangle , its preimage under is . Each set in this finite intersection belongs to by [A1], so the preimage belongs to by [F4]. The class of target sets whose preimages under lie in is a sigma-algebra because preimages preserve complements and countable unions; by step 1.1 it contains the generators, so it contains the product sigma-algebra and [F3] makes measurable.
For a permutation, , which is a generating rectangle by [F2]. The same generated-sigma-algebra argument of step 2.1 proves that is measurable.
Depends on
Used by
- Finite-sample exactness under equal distributions Corollary
- Exchangeable random elements Definition
- Two-sample order-r U-statistic and first projections Definition
- KL-neighborhood prior mass lower-bounds the likelihood denominator Lemma
- Permutation-equivariant scores preserve exchangeability Lemma
- Product likelihood tilts have the product density Lemma
- Regular conditional kernels push forward under measurable random maps Lemma
- The common-density Metropolis–Hastings ratio Lemma
- Compact models admit tests at a unique KL projection under fractional-moment continuity Proposition
- A finite stochastic adjoint gives the discrete gradient under domination Theorem
- The Metropolized Hamiltonian chain preserves its target Theorem
Dependency tree · two levels
9 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- John K. Hunter, Measure Theory, §§3.1 and 5.1 (standard reference, not scraped)