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Relative isoperimetric inequality on bounded connected Lipschitz domains
Statement
Assume Countable Choice, let , and let be a bounded connected Lipschitz domain (a bounded open set with a finite Lipschitz graph cover of its boundary, with the domain on one side of each graph, and not separable into two disjoint nonempty relatively open subsets). There is a constant such that every measurable with satisfies
Statement references
Facts & Assumptions
Given: Countable Choice, , a bounded connected Lipschitz domain , and a finite-perimeter set .
Zero extension has a BV bound controlled by interior variation and the norm. (BV extension and translation bounds)
Under Countable Choice, a bounded BV sequence on has an -convergent subsequence with a BV limit and lower semicontinuity. (Compactness and lower semicontinuity for bounded-domain BV)
Zero distributional gradient on a connected open domain forces an almost-everywhere constant under Countable Choice. (A zero distributional gradient is constant on a connected domain)
The full-space BV Sobolev inequality holds under Countable Choice. (BV Sobolev inequality in full space)
Under Countable Choice, Lebesgue measure is finite on bounded sets. Every nonempty open subset of contains an open box with positive side lengths, whose measure is their positive product; hence bounded nonempty openness gives . (Lebesgue measure is a Radon measure on R^n, A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included)
Proof
Given: The hypotheses in the Statement. Put .
The empty domain gives the inequality with both sides zero, so assume . Its openness and nonemptiness give an open box with positive side lengths contained in , and its boundedness puts inside a bounded box; [F5] therefore gives . For , take to be the smaller side. Its indicator is BV: the distributional derivative of the constant function in is zero, so and both sides have the same relative perimeter . Its zero extension has norm . By [F1] and [F4], for a fixed depending only on . If , then , so . For the conclusion is immediate.
Among sets with , the relative perimeters have a positive lower bound, unless that family is empty. Otherwise, if the infimum were zero, Countable Choice would select a sequence in this family with . Its indicators are uniformly BV-bounded. By [F2], a subsequence converges in to with . The distance from to is bounded by for every , so its integral is zero by convergence; hence is an indicator almost everywhere. Its volume lies in by convergence. But its zero variation makes every coordinate distributional derivative zero, so [F3] makes constant almost everywhere. An indicator constant must be zero or one, contradicting the volume bounds. This proves a positive lower bound whenever the family is nonempty.
In the remaining case , both side volumes meet the bounds in step 2.1, so and . Combine this constant with from step 1.1. If the intermediate-volume family is empty, step 1.1 already covers every set. Thus a finite domain constant gives the asserted inequality for every finite-perimeter .
Depends on
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Spatial BV and distributional total variation
- Compactness and lower semicontinuity for bounded-domain BV
- BV extension and translation bounds
- BV Sobolev inequality in full space
- A zero distributional gradient is constant on a connected domain
- Lebesgue measure is a Radon measure on R^n
- 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
Used by
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Sources
- Gláucio Terra, Introduction to Geometric Measure Theory — Lecture Notes, version 1.6 (standard reference, not scraped)
- Piotr Rybka, The space in variational and evolution problems — Lecture Notes in Mathematical Sciences 15 (standard reference, not scraped)