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Compact convex windows admit rectangle approximations and have negligible translated boundary
Statement
Assume Countable Choice. Let be compact and convex with nonempty interior. Then , for every , and for each there is a finite disjoint union of half-open rectangles with and . Also, for every fixed ,
Here denotes Borel Lebesgue measure and .
Facts & Assumptions
Given: Countable Choice, a compact convex set with nonempty interior, and Borel Lebesgue measure on .
Countable Choice is assumed for the Borel Lebesgue measure and its box-value properties. (The Axiom of Countable Choice ())
Under Countable Choice, Lebesgue measure on the full Lebesgue sigma-algebra is a measure, its restriction to Borel sets is a measure, every half-open box has its usual product volume, and it is finite on bounded sets. (Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume, A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included)
An invertible linear map scales the measure of every Borel set by a positive constant; for , the constant is by its value on a box. (An invertible linear map of scales the Lebesgue measure of every Borel set by a positive constant depending only on the map, A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included)
Lebesgue measure is translation invariant, and measures are continuous from below. (Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation, Continuity from below for measures)
Proof
Given: Countable Choice and a compact convex with nonempty interior.
Choose and with the open ball . For put . If and , then and by convexity; thus every point of has an open ball of radius contained in , so .
If , put . The two coefficients are nonnegative and sum to one, so by convexity, and Thus . Moreover, every lies in some : for , choose small enough that , and then for ; lies in every . Hence for any sequence , .
By [F2] and [F3], and the sets increase to , so [F3] gives . Thus the compact boundary is a null set. Since contains a nonempty open ball and is bounded, [F1] gives .
Given , choose so that . Choose a grid of half-open cubes of side . Each cube that intersects is contained in , because its points lie within distance at most of a point whose radius- ball lies in . Only finitely many grid cubes intersect bounded ; their union is disjoint, finite, contains , and is contained in . Therefore .
Fix and choose as in step 4.1, a finite union of disjoint rectangles. Translation invariance and the symmetric-difference inclusion give For each half-open rectangle, its overlap with a translate by has volume tending to the rectangle's volume as , by the box-volume formula; the same limit holds for their finite union. Thus , and arbitrariness of gives convergence to zero.
For , [F2] gives and . Dividing and applying step 5.1 with proves the asserted boundary ratio.
Steps 3.1, 4.1, 5.1, and 6.1 prove positive finite volume, the finite inner rectangle approximation, dilation scaling, and the translated-boundary limit. Countable Choice is used only through [F1]–[F2]; no AC or DC is used.
Sources
Last and Penrose, Chapter 8, proof of Theorem 8.14; local details above make the convex-boundary approximation explicit.
Depends on
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Assuming countable choice, $\mathcal{L}(\mathbb{R}^n)$ is a sigma-algebra containing every elementary set and $\lambda_n$ is a complete measure extending elementary volume
- A box in $\mathbb{R}^n$ with parameters $a_i\le b_i$ is Lebesgue measurable of measure $\prod_{i<n}(b_i-a_i)$, whichever of its faces are included
- An invertible linear map of $\mathbb{R}^n$ scales the Lebesgue measure of every Borel set by a positive constant depending only on the map
- Continuity from below for measures
- Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation
Used by
Dependency tree · two levels
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Sources
- Günter Last and Mathew Penrose, Lectures on the Poisson Process (2017 author-hosted version) (standard reference, not scraped)
- Adrian Baddeley, Spatial Point Processes and their Applications (standard reference, not scraped)