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Spatial BV, finite perimeter, and TV conventions — Examples and Counterexamples

1 · Prerequisites

2 · Logical flowchart

3 · Definitions, theorems and proofs

None yet.

4 · Examples, counterexamples and false statements

ExampleConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

A smooth-curve jump has perimeter total variation

Example

Assume Countable Choice. For the unit disk B:={x∈R2:∣x∣<1}, its indicator belongs to BV(R2), its distributional derivative is DχB=−ν H1∣∂B where ν(x)=x is the outward unit normal, and TV(χB;R2)=P(B;R2)=2π.

Facts & Assumptions

Given: Countable Choice, the open unit disk B⊂R2, and the distributional derivative convention for spatial BV.

[A1]

Countable Choice is used for Lebesgue Fubini and the Riemann-to-Lebesgue integral comparison. (The Axiom of Countable Choice (ACω))

[F1]

For a scalar v∈L1(Ω), the distributional derivative satisfies ⟨Div,ϕ⟩=−∫Ωv ∂iϕ dx. (Spatial BV and distributional total variation)

[F2]

For a BV function, its total variation equals the supremum of the integrals against compactly supported smooth vector fields with pointwise norm at most one; this clause is choice-free. (Test-field formula and L1 lower semicontinuity of spatial TV)

[F3]

A smooth radial cutoff can equal one near a prescribed radius and vanish outside a slightly larger annulus. (A smooth bump between concentric Euclidean balls)

[F4]

Fubini's theorem for integrable functions on sigma-finite product measure spaces identifies the disk integral with its coordinate-slice integrals. (Fubini's theorem for L^1 functions on a sigma-finite product)

[F5]

Countable Choice makes Lebesgue measure on R2 a Radon measure finite on the bounded disk. (Lebesgue measure is a Radon measure on R^n)

[F6]

A bounded Riemann-integrable function on a compact interval has the same Lebesgue and Riemann integrals under Countable Choice. (A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral)

[F8]

On a smooth curve, Hausdorff one-measure equals chart arclength and has graph density 1+∣Dh∣2; the normalization constant is c1=1. (Lipschitz graph area and calculus under Countable Choice, Chart and partition independence of surface measure)

Verification

Given: Countable Choice, the unit disk B, and a smooth compactly supported vector field ϕ=(ϕ1,ϕ2).

1.1A1F4F5F6F7F8given

Extend ∂1ϕ1 by zero outside B. It is integrable because it is bounded and supported in a finite-measure disk [F5]. Fubini [F4] expresses its integral as the integral over y∈(−1,1) of the slice integrals over [−a(y),a(y)], where a(y)=1−y2. Each slice integrand is continuous, so [F6] identifies its Lebesgue integral with its Riemann integral, and [F7] evaluates that integral as ϕ1(a(y),y)−ϕ1(−a(y),y). In the right graph x=a(y), [F8] gives dH1=dy/a(y) and ν1=a(y); in the left graph x=−a(y), it gives dH1=dy/a(y) and ν1=−a(y). Thus the slice difference equals ∫∂Bϕ1ν1 dH1. The same argument with the coordinates exchanged gives the second component, hence ∫Bdiv⁡ϕ dx=∫∂Bϕ⋅ν dH1.

2.1F1step 1.1given

By the distributional derivative convention [F1], step 1.1 yields DχB=−νH1∣∂B. The circle has finite arclength, so this is a finite vector Radon measure and χB∈BV(R2).

3.1F2F3step 1.1step 2.1givenconstruct∎

The parametrization θ↦(cos⁡θ,sin⁡θ) has speed one on [0,2π], so H1(∂B)=2π. For every admissible test field, step 1.1 gives ∫Bdiv⁡ϕ dx=∫∂Bϕ⋅ν dH1≤2π. Choose a smooth radial cutoff q supported in (1/2,3/2), with 0≤q≤1 and q(1)=1, and set ϕ(x)=q(∣x∣)x/∣x∣ on that annulus and zero outside. By [F3] this is smooth, compactly supported and has norm at most one; on ∂B it equals ν. Its flux is 2π. The supremum in [F2] is therefore exactly 2π, proving the asserted total variation and perimeter.

CounterexampleConstruction: AI-generatedVerification: AI-adaptedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

An oscillatory L1-bounded sequence with unbounded spatial TV

Statement refuted

Assume Countable Choice. The assertion that every sequence (uN)N≥1 in BV((0,1)) with bounded L1(0,1) norms has uniformly bounded total variations is false. For k≥1 let Ik=(2−(k+1),2−k) and define uN:=∑k=1N(−1)kχIk. Then ∥uN∥L1(0,1)=∑k=1N∣Ik∣<1/2, while the adjacent jumps have total magnitude 2N.

Facts & Assumptions

Given: Countable Choice, the interval Ω=(0,1), and the sequence of step functions uN defined above.

[A1]

Countable Choice is used to identify interval Lebesgue integrals with their Riemann values and to use countably additive Lebesgue measure. (The Axiom of Countable Choice (ACω))

[F1]

Distributional derivatives use the negative-transpose test convention, and BV total variation is the mass of the derivative measure. (Spatial BV and distributional total variation)

[F2]

For BV functions, total variation is the supremum over compactly supported smooth unit-bounded scalar test fields in one dimension; this clause is choice-free. (Test-field formula and L1 lower semicontinuity of spatial TV)

[F3]

Smooth cutoffs supported in small intervals can be chosen equal to one at a prescribed interior point. (A smooth bump between concentric Euclidean balls)

[F4]

Under Countable Choice, Lebesgue measure of a bounded interval is its length. (Lebesgue measure is a Radon measure on R^n)

[F5]

A bounded Riemann-integrable function on a compact interval has the same Lebesgue and Riemann integrals. (A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral)

Counterexample

Given: The step functions uN and their pointwise limit u on (0,1).

1.1A1F1F4F5F6givenalgebra

The intervals are disjoint and have Lebesgue measure 2−(k+1) by [F4], so ∥uN∥1=∑k=1N2−(k+1)<1/2. Integration by parts on each interval, justified by [F5] and [F6], shows that DuN is an atomic signed measure: its jump at 1/2 has magnitude 1, its N−1 interior jumps at 2−2,…,2−N have magnitude 2, and its jump at 2−(N+1) has magnitude 1. These are all jumps in (0,1), so uN∈BV((0,1)) and TV(uN;(0,1))=1+2(N−1)+1=2N.

2.1A1F2F3F4F5F6step 1.1givenconstruct∎

The sequence converges in L1 to u=(−1)k on each Ik and u=0 on (1/2,1), since ∣uN−u∣≤1 and its support lies in (0,2−(N+1)), whose measure tends to zero by [F4]. For each M, choose disjoint small intervals around xj=2−j, 1≤j≤M, avoiding every other dyadic jump, and smooth bumps equal to one at these points, with signs chosen opposite to the jumps of u. Their sum is a compactly supported smooth test function ϕM with ∣ϕM∣≤1. Its support is bounded away from zero, so only finitely many intervals Ik meet it; integration by parts on those intervals, using [F5] and [F6], gives ∫01u ϕM′ dx=1+2(M−1)=2M−1. Thus the test-field supremum for u is infinite. If u were in BV((0,1)), [F2] would make that supremum equal its finite total variation, a contradiction. This proves the refuted assertion fails despite the uniform L1 bound.

ExampleConstruction: AI-generatedVerification: AI-adaptedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

Neumann constants and the Dirichlet boundary cost

Example

Assume Countable Choice. On every bounded Lipschitz domain Ω⊂Rn (a bounded open set with a finite Lipschitz graph cover of its boundary, with the domain on one side of each graph), a constant function u≡c has TVN(u;Ω)=0. On the unit disk B⊂R2, if c≠0 then TVD(c;B)=2π∣c∣.

Facts & Assumptions

Given: Countable Choice, a bounded Lipschitz domain Ω, a real constant c, and the unit disk B⊂R2.

[A1]

Countable Choice is used for Lebesgue Fubini and the Riemann-to-Lebesgue integral comparison. (The Axiom of Countable Choice (ACω))

[F1]

Neumann variation is the mass of the derivative inside the open domain; Dirichlet variation is the total variation of the zero extension. (Full-space, Dirichlet, and Neumann TV conventions)

[F2]

The unit disk indicator belongs to BV and has total variation 2π. (A smooth-curve jump has perimeter total variation)

[F3]

Distributional derivative acts by the negative-transpose test formula. (Spatial BV and distributional total variation)

[F4]

Lebesgue measure on Rn is finite on bounded sets under Countable Choice. (Lebesgue measure is a Radon measure on R^n)

[F5]

Fubini identifies integrals of integrable functions on Euclidean product spaces with iterated integrals. (Fubini's theorem for L^1 functions on a sigma-finite product)

[F6]

Bounded Riemann-integrable functions on compact intervals have the same Lebesgue integral under Countable Choice. (A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral)

Verification

Given: Countable Choice, the constant u≡c, and the conventions in [F1].

1.1A1F1F3F4F5F6F7given

For every ϕ∈Cc∞(Ω), extend ϕ by zero to a smooth compactly supported function on Rn. It and each derivative are integrable by [F4]. Fubini [F5] reduces ∫Rn∂iϕ to one-dimensional integrals along coordinate lines; on each line the derivative is continuous with compact support, so [F6] identifies its Lebesgue integral with its Riemann integral and [F7] makes that integral zero. Thus ⟨Diu,ϕ⟩=−c∫Ω∂iϕ dx=0 for every coordinate, so Du=0 and TVN(u;Ω)=0 by [F1].

2.1F1F2step 1.1givenalgebra∎

On the disk, the zero extension of c is cχB. Its distributional derivative is cDχB, so homogeneity of the partition variation and [F2] give TVD(c;B)=∣c∣TV(χB;R2)=2π∣c∣.

Sources