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Test-field formula and L1 lower semicontinuity of spatial TV
Statement
For every open and real-valued , If are real-valued and in , then . In addition, assuming Countable Choice, for any real-valued the displayed supremum is finite if and only if , with equality to ; under the same assumption, an limit of real-valued BV functions with bounded liminf total variation belongs to and satisfies the same lower-semicontinuity inequality.
Statement references
Facts & Assumptions
Given: An open set , a real-valued , and, for the lower-semicontinuity clause, real-valued with in .
Countable Choice is assumed only for the finite-test-supremum characterization of arbitrary functions. (The Axiom of Countable Choice ())
The distributional derivative acts on a compactly supported smooth test function by the negative-transpose formula. (Spatial BV and distributional total variation)
The partition variation of a finite vector of signed Radon measures is a finite positive Radon measure and equals the supremum over compactly supported continuous vector fields of norm at most one. (Variation of a finite vector Radon measure is Radon)
is the space of continuous functions vanishing at infinity; compactly supported smooth functions are dense in it in the uniform norm. (Compact support, , and , Smooth compactly supported functions are dense in C0 on an open Euclidean set)
Under Countable Choice, every bounded real linear functional on is integration against a unique finite signed Radon measure. This specialized Euclidean construction uses explicit cutoffs and no Dependent Choice. (Euclidean real Radon representation under Countable Choice)
Proof
Given: The hypotheses listed above.
Suppose and write . The distributional derivative identity gives . The continuous-field dual formula [F2] bounds the supremum over smooth fields by . Conversely, for any with , for every , density [F3] gives one smooth compactly supported with ; replacing by keeps the unit bound and changes this error by at most another . Finiteness of the coordinate measures bounds the integral error by a fixed constant times . Letting (without selecting a sequence of approximants) shows that the smooth supremum is at least the continuous-field supremum . Thus .
Assume [A1], let real-valued , and suppose . For each coordinate , define on real . Taking the test vector with only its th component equal to and also its negative shows . By density [F3], extends uniquely to a bounded real linear functional on real . Apply [F4] directly to this real functional to obtain a finite signed Radon measure representing . Applying [F2] to and using [F3] to pass between continuous and smooth unit fields gives . Hence and .
If the limit is already in , boundedness of gives for each admissible . Each approximating integral is at most by step 1.1, so taking the supremum gives ; this branch uses no choice axiom.
If only is known, choose a subsequence whose variations converge to . The same test-integral limit gives . Under [A1], step 1.2 implies and . If , the extended inequality is automatic.
Depends on
- Spatial BV and distributional total variation
- Compact support, $C_c(X)$, and $C_0(X)$
- Variation of a finite vector Radon measure is Radon
- Smooth compactly supported functions are dense in C0 on an open Euclidean set
- Euclidean real Radon representation under Countable Choice
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
Used by
- An oscillatory L1-bounded sequence with unbounded spatial TV Counterexample
- A smooth-curve jump has perimeter total variation Example
- Finite samples outside a uniform BV bound Example
- Coarea for finite-variation L² functions Lemma
- Coarea formula for spatial BV Lemma
- Compactness and lower semicontinuity for bounded-domain BV Lemma
- Convexity, lower semicontinuity, and BV agreement of L² TV Lemma
- EIT forward continuity and compactness of conductivity classes Lemma
- Primal compactness and selection of a minimum-TV limit Lemma
- Sharp planar isoperimetric inequality for finite-perimeter sets Lemma
- Strict smooth approximation in BV Lemma
- Uniform density and Hausdorff convergence of TV level-set boundaries Lemma
Dependency tree · two levels
26 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
- 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)