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Uniform density and Hausdorff convergence of TV level-set boundaries

Statement

Assume Countable Choice. Let A:L2(Ω;R)→L2(Σ,μ;R) be bounded and real-linear, let f=Au†, and suppose u† is a minimum-TV exact solution with a source certificate p†. For αn>0 tending to zero and noises wn∈L2(Σ,μ;R), assume ∥A∗∥∥wn∥2/αn≤η and let un be supplied global minimizers of 12∥Au−(f+wn)∥22+αnTV(u). Define pn=(f+wn−Aun)/αn and vn=A∗pn. Use TV2 on L2(R2) for full-space TV; on a nonempty bounded Lipschitz domain use zero-extension Dirichlet TV, and on a nonempty bounded connected Lipschitz domain use relative Neumann TV. For bounded-domain geometry use the ambient zero-extended level sets and their topological boundaries in R2.

For full-space or Dirichlet TV, assume η<2π; in the bounded Dirichlet case also assume Ω has global obstacle curvature κΩ∈L1(R2;R) with κΩ≥g almost everywhere outside Ω for some real-valued g∈L2(R2∖Ω;R). For Neumann TV, let CΩ be a constant from the BV Sobolev–Poincaré inequality ∥u−uΩ∥2≤CΩTV(u;Ω) and assume η<1/CΩ.

For almost every nonzero t, the level set En(t) has finite measure and perimeter, minimizes the branch-specific perimeter minus ∫Esgn⁡(t)vn under compactly supported perturbations, and satisfies P(En(t))=sgn⁡(t)∫En(t)vn. There are constants c>0 and r0>0, independent of n and almost every such t, such that for every x∈∂En(t) and 0<r<r0, ∣B(x,r)∩En(t)∣≥c∣B(x,r)∣,∣B(x,r)∖En(t)∣≥c∣B(x,r)∣. In the full-space branch all these level sets are contained in one common ball; in the bounded branches they lie in Ω‾. The same density and support conclusions are asserted for any selected minimum-TV exact limit that carries the inherited source certificate, using zero noise. Whenever the corresponding level sets converge in measure, their canonical boundaries converge in Hausdorff distance.

Facts & Assumptions

Given: Countable Choice, the linear map and TV branch, a minimum-TV exact source-certified truth, the noise condition, and supplied global regularized minimizers as in the Statement.

[A1]

Countable Choice is used by the coarea, BV representation, and compactness suppliers. (The Axiom of Countable Choice (ACω))

[F1]

Dual attainment and convergence of TV source certificates: each supplied minimizer has pn=(f+wn−Aun)/αn, vn=A∗pn∈∂TV(un)∩∂TV(0), the exact-data fields vαn,0 converge strongly in L2 to v0, and ∥vn−vαn,0∥2≤∥A∗∥∥wn∥2/αn≤η.

[F2]

Dual source certificates for TV regularization: the initial exact truth is minimum-TV and the source certificate supplies a subgradient in the real Hilbert pairing.

[F3]

Canonical TV level sets and their boundaries: for t>0 use the density-one representative of {u>t}; for t<0 use that of {u<t}; bounded-domain sets are viewed by zero extension solely for their ambient geometry.

[F4]

Coarea for finite-variation L² functions and Coarea formula for spatial BV: full-space finite-variation L2 functions and bounded-domain BV functions have the corresponding positive-superlevel/negative-sublevel coarea identities.

[F5]

Variational curvature of a finite-perimeter set: variational curvature means minimization of the branch-specific perimeter minus the signed integral of its curvature over compactly supported symmetric-difference perturbations.

[F6]

Sharp planar isoperimetric inequality for finite-perimeter sets: 4π∣E∣≤P(E;R2)2 for finite-area finite-perimeter planar sets.

[F7]

BV Sobolev–Poincaré inequality for Neumann TV: on a bounded connected Lipschitz domain, ∥u−uΩ∥2≤CΩTV(u;Ω) for the stated Neumann constant.

[F8]

Test-field formula and L1 lower semicontinuity of spatial TV: the spatial test-field variation is lower semicontinuous under L1 convergence and equals perimeter on finite-perimeter indicators.

[F9]

Bolzano-Weierstrass: every bounded real sequence has a convergent subsequence: every bounded scalar real sequence has a convergent subsequence. Applying it to the first coordinate and then to the second coordinate of that subsequence gives a convergent subsequence in R2, since the first-coordinate convergence is retained.

[F10]

Actual ball-cut and obstacle comparisons, uniform two-sided density in all three branches, and a common full-space support bound follow from distributional ball products and radial-tail extinction. Almost-everywhere ball cuts and obstacle comparisons for planar perimeter, Uniform density and radial support bounds for planar curvature minimizers

[F12]

The distributional L2 TV is proper, convex, lower semicontinuous and positively one-homogeneous, and agrees with BV TV on integrable functions. Convexity, lower semicontinuity, and BV agreement of L² TV

[F11]

A bounded Lipschitz-domain BV indicator has a BV zero extension, so its ambient perimeter is finite even in the Neumann branch. Completed Fubini and Tonelli apply to the signed layer-cake integrals when their absolute integral is finite. Trace formula and bounded zero extension on Lipschitz domains, Tonelli and Fubini for the completed product, with only almost-everywhere section measurability

Proof

1.1F1F8F10F12givenconstruct

The TV functional is proper, convex, lower semicontinuous and positively one-homogeneous by [F12]. On a bounded domain L2⊂L1, so the relative functional agrees with that test-field functional by [F8]; the Dirichlet version is its composition with the linear isometric zero-extension map into full-space L2. Thus the hypotheses of [F1] hold. Comparison of each objective with its finite value at zero also gives finite TV at a supplied minimizer. Put zn=vαn,0=A∗pαn,0. By [F1], zn→v0=A∗p0 strongly in L2(Ω) and vn=zn+en with ∥en∥2≤η. Thus the exact-field sequence, its limit and the noisy fields have precisely the coefficient decomposition required by [F10]. In particular their uniform small-measure moduli and, in full space, exact-field tail moduli follow from strong convergence, as proved there, without an assumed uniform integrability of the noisy perturbations.

1.2A1F1F3F4F5F8F11F13algebra

For each supplied minimizer, [F1] and positive one-homogeneity imply R(un)=⟨vn,un⟩ and vn∈∂R(0). The selected TV is even, since its test-field class is symmetric and zero extension is linear. Applying its inequality to both χF and −χF gives P∗(F)≥σ∫Fvn for either sign σ, for every finite-area finite-selected-perimeter competitor; P∗ denotes the selected branch perimeter throughout this proof. Indeed these indicators belong to L2 and their selected TV is exactly P∗ by [F8] and the boundary conventions. In full space every nonzero level has finite area by ∣{∣un∣>∣t∣}∣≤∥un∥22/t2. Bounded-domain levels have finite area automatically. Coarea [F4] gives finite selected perimeter for almost every nonzero level. Relative-perimeter Neumann levels also have finite ambient perimeter by [F11]. Signed layer cake and Cauchy–Schwarz give an absolutely integrable level pairing: the integral over levels of ∫En(t)∣vn∣ is ∫∣un∣∣vn∣≤∥un∥2∥vn∥2. Hence [F11] and coarea show that the integral of the nonnegative gaps P∗(En(t))−sgn⁡(t)∫En(t)vn equals R(un)−⟨vn,un⟩=0. Each gap therefore vanishes almost everywhere. Their value zero is the global minimum of P∗(F)−sgn⁡(t)∫Fvn, since every competitor has nonnegative value. This proves the stated equality and even global branch minimization, which in particular implies compact-perturbation variational curvature [F5]. Taking the countable union of exceptional level sets makes this true simultaneously for all n.

2.1F3F6F7F10step 1.1step 1.2givenconstruct

The threshold and actual obstacle assumptions are exactly those of [F10]. Apply it to every calibrated set from step 1.2, with either level sign. It supplies one c,r0>0 for both ambient density inequalities at every point of each canonical boundary, independently of the index and the nonexceptional level. In the Dirichlet branch the actual obstacle extension uses perimeter submodularity from [F10]; in the Neumann branch its proof uses relative cuts and the specified CΩ, and at points on ∂Ω it uses the uniform Lipschitz exterior area for the ambient complement. Thus no false relative-complement estimate is imposed on the valid case E=Ω. In full space [F10] compares E with actual radial cuts and proves finite-radius extinction of ∣E∖B(0,r)∣, giving one common ball containing the density-one sets and their topological boundaries. Bounded-domain representatives and boundaries lie in Ω‾. These are the full density and support conclusions, rather than assumptions for the transfer below.

3.1F1F2F4F10F11step 1.2step 2.1algebra

The limiting field calibrates every minimum-TV exact solution u0 under consideration. More explicitly, the dual supplier [F1] defines p0∈{p:A∗p∈∂R(0), ⟨f,p⟩=R(u†)}. For any such exact minimum Au0=f and R(u0)=R(u†), one has ⟨v0,u0⟩=⟨p0,f⟩=R(u0), while v0∈∂R(0). Its subgradient inequality is therefore also the inequality at u0. Repeat step 1.2 with u0,v0; its almost-everywhere level sets are calibrated global minimizers. Adjoin the limiting exact field with perturbation zero in [F10]. The very same coefficient moduli and noise threshold used in step 2.1 then give the same uniform density and support conclusions for this limit. This includes any selected minimum-TV exact limit carrying the inherited certificate; it does not identify that solution with u† without uniqueness.

4.1A1F3F9step 2.1step 3.1chooseconstructcontradiction∎

Fix a nonzero nonexceptional level for which the corresponding sets converge in measure to such a canonical limit E0. If E0=∅ and infinitely many En are nonempty, their bounded common support makes each boundary nonempty: a boundaryless subset of connected R2 is clopen, and the only bounded clopen set is empty. Choose a boundary point and one fixed 0<r<r0; the density estimate gives ∣En△E0∣≥cπr2, a contradiction. If E0 is nonempty, it has positive measure by its density-one definition, so convergence rules out infinitely many empty En. The empty status therefore agrees eventually; two empty boundaries have Hausdorff distance zero. In the nonempty case, if xn∈∂En stays at distance at least δ>0 from ∂E0, common compact support and [F9] give a subsequence xn→x. For r<min⁡(r0,δ/4) the connected ball B(xn,r) misses ∂E0 and is entirely in E0 or entirely outside it. The two-sided density of En forces symmetric difference at least cπr2, again a contradiction. Conversely, if yn∈∂E0 stays at distance at least δ from ∂En, take a convergent subsequence with limit y∈∂E0. A fixed smaller connected ball about y misses every corresponding ∂En, so along a further subsequence its status is always full or always empty. Measure convergence makes E0 full or empty almost everywhere on that ball. By the density-one definition it is then actually full or empty in a smaller ball, contradicting y∈∂E0. Both directed Hausdorff distances tend to zero, with all point and subsequence selections allowed by [A1].

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