Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Scaling the perimeter of a disk inclusion

Statement

Assume Countable Choice. Let x0∈R2, r>0, E=B(x0,r), and let D⊂R2 be open with E‾⊂D. Then χE∈BV(R2), its distributional derivative is DχE=−νE H1∣∂E,νE(x)=x−x0r, and TV(χE;R2)=TV(χE;D)=2πr.

Facts & Assumptions

Given: Countable Choice, x0∈R2, r>0, E=B(x0,r), and an open D with E‾⊂D.

[F1]

For u∈L1, ⟨Du,ϕ⟩=−∫u div⁡ϕ on smooth compactly supported tests; if Du is a vector measure, ∣Du∣(A) is the supremum of ∑j∣Du(Aj)∣ over Borel partitions of A, and TV(u;G)=∣Du∣(G). (Spatial BV and distributional total variation)

[F2]

On an epigraph of a locally Lipschitz graph, a smooth vector field supported away from the chart sides has divergence integral ∫ψ(y,h(y))⋅(Dh(y),−1) dy; the sign reverses for a subgraph. For smooth graphs, [F4] identifies this with outward-normal surface flux. (Lipschitz graph area and calculus under Countable Choice)

[F3]

For a C1 diffeomorphism T, the change-of-variables identity holds for every nonnegative Lebesgue-measurable integrand; additivity gives the corresponding identity for an integrable signed integrand by applying it to its positive and negative parts. (A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions, Additivity of the nonnegative Lebesgue integral)

[F4]

Surface measure on a compact C1 hypersurface is the chart integral; the regular chart density is the square root of the Gram determinant, so a circle parametrization has density equal to its speed. (Surface integration on compact C1 hypersurfaces, Chart and partition independence of surface measure)

[F5]

The derivative of a C1 composition is the product of the derivative matrices. (The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a))

[A1]

Countable Choice is assumed at the graph-calculus, surface-integral, and change-of-variables interfaces. (The Axiom of Countable Choice (ACω))

Proof

Given: The data in the statement.

1.1A1F2F3F4F5givenconstructalgebra

Put B=B(0,1) and first prove its flux formula directly from [F2]. Cover ∂B by finitely many graph neighborhoods, each expressing B locally as an epigraph or subgraph of a smooth function, and add an interior open set compactly contained in B to cover B‾. Rigid changes of coordinates preserve volume, divergence and normal flux by [F3]–[F5], so the graph identities apply in these coordinates. Choose smooth nonnegative functions ηi compactly supported in those sets and with ∑iηi>0 on B‾: finitely many smaller balls cover this compact set, and ordinary Euclidean smooth bumps positive on those balls supply the functions. Normalize their sum on a neighborhood of B‾, using one additional smooth cutoff equal to one near B‾ and supported where that sum is positive. This gives functions χi subordinate to the same sets with ∑iχi=1 near B‾. For any smooth compactly supported vector field ψ, apply [F2] to χiψ in each boundary graph patch. Its divergence integral over B is its outward flux over ∂B by [F4], because the graph domain and B agree on the support. The interior piece has divergence integral zero: its support is compact inside B, so choose a horizontal line below that support and apply [F2] on the half-plane above that line. The field vanishes on the line and its half-plane integral equals its whole-space integral, which equals its integral over B. Summing the finitely many identities, the derivatives of the partition cancel since its sum is one near B‾. Consequently ∫Bdiv⁡ψ=∫∂Bψ⋅νB dH1. This proves the required unit-disk identity without using a B-example or a stronger-choice divergence theorem.

1.2A1F1F3F4F5step 1.1givenalgebra

Let T(y)=x0+ry and, for arbitrary ϕ∈Cc∞(R2;R2), put ψ=ϕ∘T. By [F5], div⁡yψ(y)=r div⁡xϕ(T(y)). Applying [F3] to the positive and negative parts of div⁡ϕ, whose integrals are finite because ϕ is smooth and compactly supported, gives ∫Ediv⁡ϕ(x) dx=r2∫Bdiv⁡ϕ(T(y)) dy=r∫Bdiv⁡ψ(y) dy. By step 1.1 this is r∫∂Bψ⋅νB dH1. The circle parametrization in [F4] has outward normal (cos⁡θ,sin⁡θ) and arclength element r dθ, so this last expression equals ∫∂Eϕ⋅νE dH1. Thus ∫Ediv⁡ϕ=∫∂Eϕ⋅νE dH1 for every test field; [F1] yields DχE=−νEH1∣∂E.

2.1A1F1F4step 1.2algebra

By [F4], the circle is parametrized with speed r, so H1(∂E)=2πr. For any Borel partition (Aj) of ∂E, [F1] and ∣νE∣=1 give ∑j∣DχE(Aj)∣=∑j∣∫AjνE dH1∣≤2πr. For the reverse bound, partition the circle into N equal arcs and their finitely many endpoints. The endpoints have zero arclength; on each arc, direct integration of (cos⁡θ,sin⁡θ)r gives a vector of norm 2rsin⁡(π/N). Thus the partition sum is 2rNsin⁡(π/N), which tends to 2πr as N→∞. By the partition definition in [F1], TV(χE;R2)=2πr. This finite variation proves χE∈BV(R2).

3.1F1step 1.2step 2.1given∎

Because E‾⊂D, the full derivative measure in step 1.2 is supported inside D. Hence TV(χE;D)=∣DχE∣(D)=∣DχE∣(R2)=2πr.

Depends on

Used by

Dependency tree · two levels

52 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