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Strict smooth approximation in BV
Statement
Assume Countable Choice. For every open and there is a sequence such that in and . When , the approximating functions may be chosen compactly supported.
Statement references
Facts & Assumptions
Given: Countable Choice, an open set , and .
Countable Choice is used by the Lebesgue regularity and approximate-identity suppliers below. (The Axiom of Countable Choice ())
Under Countable Choice, Lebesgue measure on is Radon and regular, with finite measure on bounded sets. (Lebesgue measure is a Radon measure on R^n)
A unit-mass smooth bump generates a nonnegative approximate identity by rescaling. (An approximate identity on , The mollifier family generated by a unit-mass smooth bump, A unit-mass smooth bump generates an approximate identity, Every approximate identity converges to the identity in for )
Convolution of a locally integrable function with a mollifier is smooth and differentiates under the integral sign. (Convolution with a mollifier is smooth, and derivatives pass under the integral sign)
For nonnegative product-measurable functions on sigma-finite spaces, product and iterated integrals agree. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product)
The distributional variation equals the test-field supremum and is lower semicontinuous under convergence. (Test-field formula and L1 lower semicontinuity of spatial TV)
Every open Euclidean set has a locally finite nonnegative smooth partition of unity with compact supports. (Locally finite smooth partitions of unity on Euclidean open sets)
Smooth cutoffs exist on nested balls, including cutoffs equal to one on a smaller ball. (A smooth bump between concentric Euclidean balls)
If , then is a finite vector Radon measure and its partition variation is . The upper bound follows from the triangle inequality. For the reverse bound, partition the unit sphere into finitely many Borel sets of diameter below , project each vector integral onto a representative direction, and let . The weighted measure is finite; truncating its density and using Lebesgue regularity gives outer approximation on Borel sets and compact inner approximation on open sets, hence Radon regularity. Finiteness upgrades compact approximation to all Borel sets: for Borel , choose compact with and open with , where ; then is compact in and . (Lebesgue measure is a Radon measure on R^n)
Proof
Given: Countable Choice, , and as stated.
If , take the zero sequence. If and , its singleton supports itself, which is smooth, has zero gradient and variation, and gives the required constant sequence. Assume henceforth . By [F6], take a countable locally finite nonnegative smooth partition of unity on , with each compactly supported in .
Fix . Extend each by zero to . Fix a nonnegative unit-mass smooth bump and its rescalings . For each , the approximate-identity property [F2] gives in , and also in . Choose the least nonnegative integer for which is small enough that , the convolution supports remain in , and . Set . This sum is locally finite: for a compact , choose so its closed -neighborhood is compactly contained in . For all sufficiently large , ; if the thickened support of meets , then meets , and local finiteness of leaves only finitely many such indices. Thus is smooth by [F3]. Summing the first error terms and using gives .
The product rule follows by testing against : . Convolution commutes with distributional derivatives by the defining test pairing and Tonelli [F4] applied to positive and negative parts. These interchanges are product-measurable: each localized density depends only on its own integration variable, and all remaining kernel and smooth test factors are Borel on the product. Absolute integrability follows from the compact supports, the density norms and the finite coordinate variations. Thus [F4] applies before making the interchange. Since , local finiteness gives . Therefore . For the first sum, pointwise, so Tonelli and bound its norm by . The second sum has norm below by the choices in step 2.1. Hence .
Take for and set . Step 2.1 gives in , while step 3.1 gives . For each , integration by parts against compactly supported smooth tests identifies . Since is continuous and integrable by step 3.1, [F8] gives and . The choice-free lower-semicontinuity clause of [F5], now applied to , gives the reverse inequality. Thus the variations converge. For , choose a smooth cutoff equal to one on , supported in , and satisfying , using [F7]. Since each and its gradient are integrable, choose so its tail, gradient tail, and are all below . The products are compactly supported and smooth, converge to in , and have gradient integrals bounded above by ; [F8] puts them in and lower semicontinuity gives convergence of their variations as well.
Depends on
- Spatial BV and distributional total variation
- Test-field formula and L1 lower semicontinuity of spatial TV
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Lebesgue measure is a Radon measure on R^n
- An $L^1$ approximate identity on $\mathbb{R}^n$
- The mollifier family generated by a unit-mass smooth bump
- Locally finite smooth partitions of unity on Euclidean open sets
- A smooth bump between concentric Euclidean balls
- A unit-mass smooth bump generates an $L^1$ approximate identity
- Every $L^1$ approximate identity converges to the identity in $L^p$ for $1 \le p < \infty$
- Convolution with a mollifier is smooth, and derivatives pass under the integral sign
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
Used by
Dependency tree · two levels
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Sources
- Gláucio Terra, Introduction to Geometric Measure Theory — Lecture Notes, version 1.6 (standard reference, not scraped)
- BV Functions minicourse, Oxford Mathematical Institute, Version 3.0 (standard reference, not scraped)
- Piotr Rybka, The space in variational and evolution problems — Lecture Notes in Mathematical Sciences 15 (standard reference, not scraped)