Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-adapted
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.

The azimuthal line field ρ−1eφ: local integrability and distributional curl on the axis

Statement

Assume Countable Choice (ACω), with the exact meaning of The Axiom of Countable Choice (ACω). Let Z:={(0,0,x3):x3∈R}⊂R3 be the third coordinate axis and let f:R3∖Z→R3,f(x)=(−x2, x1, 0)x12+x22,x=(x1,x2,x3), so that, in cylindrical notation ρ=x12+x22 and eφ=ρ−1(−x2,x1,0), one has f=eφ/ρ on the punctured space. Let Tf be the regular distribution of f on R3 (Regular distribution from a locally integrable function, Locally integrable functions embed in distributions) and let A be the R3-valued distribution A(ψ):=∫Rψ3(0,0,x3) dx3,ψ∈Cc∞(R3;R3), the third-direction line measure on Z. For an R3-valued distribution T=(T1,T2,T3) whose components are scalar distributions of Distribution, the pairings used below are the componentwise readings of Distributional derivative: ⟨div⁡T,φ⟩:=−∑i=13⟨Ti,∂iφ⟩,⟨curl⁡T,ψ⟩:=∑i=13⟨Ti,(curl⁡ψ)i⟩. Then: (a) f∈Lloc1(R3); (b) div⁡f=0 and curl⁡f=0 pointwise on R3∖Z; (c) for every vector test ψ∈Cc∞(R3;R3) and every scalar test φ∈Cc∞(R3), ⟨curl⁡Tf,ψ⟩=2π A(ψ),⟨div⁡Tf,φ⟩=0, that is, curl⁡Tf=2π e3 δZ and div⁡Tf=0 in the distributional sense of Distributional derivative; and (d) for every r>0 and h∈R, the circulation of f along the positively oriented circle γr,h:[0,2π]→R3∖Z, γr,h(t)=(rcos⁡t,rsin⁡t,h), traversed once with increasing t, is 2π (Scalar line integrals with respect to arc length and vector-field line integrals, read componentwise). No product of distributions is formed.

Facts & Assumptions

Given: Assume ACω; let Z, f, eφ, ρ be as in the Statement; let ψ∈Cc∞(R3;R3) and φ∈Cc∞(R3).

[F1]

Cc∞(R3) and Cc∞(R3;R3) are the test spaces of Test function space d of an open set, and Tf is the regular distribution of the almost-everywhere class of f, acting by integration and depending only on that class (Regular distribution from a locally integrable function, Locally integrable functions embed in distributions).

[F2]

Distributional derivatives act by signed test differentiation, ⟨∂αu,χ⟩=(−1)∣α∣⟨u,∂αχ⟩ (Distributional derivative), and a vector distribution is a triple of scalar distributions in D′(R3) (Distribution); integrals over measurable subsets are those of Integral over a measurable subset.

[F3]

Under ACω, Tonelli's theorem gives ∫X×Yh d(μ×ν)=∫X∫Yh dν dμ for nonnegative measurable h on a σ-finite product, and λm+n agrees with λm×λn on Borel subsets of Rm+n=Rm×Rn for m,n≥1 (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, On Borel subsets of R^{m+n}, the product lambda_m times lambda_n agrees with lambda_{m+n}).

[F4]

Under ACω, the polar-coordinate formula holds for every nonnegative Borel function on Rn, and the polar surface measure σ on the unit sphere is a finite Borel measure (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma).

[F5]

Under ACω, every continuous map Rn→Rm, n,m≥1, is Borel measurable (Continuous functions on Euclidean spaces are Borel measurable), and every at most countable subset of Rm, in particular every singleton, is Lebesgue null (Every at most countable subset of Rn is Lebesgue null; in particular λ1(Q)=0). The Borel sigma-algebra is generated by the open sets (The Borel sigma-algebra of a topological space); a map g:Rn→Rm is Borel measurable when g−1(B) is Borel for every Borel B⊆Rm (Borel measurable and Lebesgue measurable functions on Rn). Measurability of the zero extension from the punctured domain is proved locally in step 2.1.

[F6]

On each coordinate line, a partial derivative is an ordinary one-variable derivative, so the sum, scalar-multiple, product and quotient rules apply pointwise to C1 components; in particular ∂j(g/h)=(∂jg h−g ∂jh)/h2 wherever h≠0 (Sums, scalar multiples, products and quotients: (f+g)′(c)=f′(c)+g′(c), (αf)′(c)=αf′(c), (fg)′(c)=f′(c)g(c)+f(c)g′(c), and (f/g)′(c)=(f′(c)g(c)−f(c)g′(c))/g(c)2 when g(c)≠0).

[F7]

Divergence and curl of C1 fields are div⁡F=∂1F1+∂2F2+∂3F3 and curl⁡F=(∂2F3−∂3F2, ∂3F1−∂1F3, ∂1F2−∂2F1) (Divergence and curl of a C1 vector field).

[F8]

Write eρ(x)=ρ−1(x1,x2,0) on {ρ>0} and e3=(0,0,1). For u×v=(u2v3−u3v2, u3v1−u1v3, u1v2−u2v1) one has u⋅(v×w)=det⁡(u,v,w)=(u×v)⋅w, eφ×eρ=−e3, and on a circle of radius r about Z with parameter t↦(rcos⁡t,rsin⁡t,h) the velocity is r eφ (The cross product in R3).

[F9]

The cylindrical annulus Vε={ε<ρ<R, ∣x3∣<R}, 0<ε<R, has the finite piecewise C1 presentation of Specified finite piecewise C1 boundary presentations given by two planar cap annuli and four quarter-cylinder faces on each of ρ=ε and ρ=R. At radius b∈{ε,R} the faces are Xb([jπ/2,(j+1)π/2]×[−R,R]), j=0,1,2,3, with Xb(θ,z)=(bcos⁡θ,bsin⁡θ,z), each restricted from an injective regular chart on a larger angular interval of length less than 2π. The seams and rims are surface-null: in lateral coordinates they lie on finitely many horizontal or vertical parameter lines, null by [F3] and [F5], and a planar rim circle has at-most-two-point sections, giving nullity by the same facts. The outward normal on the inner cylinder is −eρ. The divergence theorem of Divergence for finite piecewise C1 presentations applies to every C1 field on a neighborhood of the compact closure.

[F10]

The surface integral over a compact Borel face inside a regular chart is the chart formula of Surface integration on compact C1 hypersurfaces: for the cylinder chart X(θ,z)=(εcos⁡θ,εsin⁡θ,z) the Gram density is ε.

[F11]

If hε→h pointwise on a set and ∣hε∣≤M for all ε with M integrable on a finite-measure region, then ∫hε→∫h (Dominated convergence); a continuous function is uniformly continuous on a compact metric set (Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous). The Lebesgue integral is linear on integrable functions (The Lebesgue integral is linear on L1(μ)).

[F12]

The circulation of a continuous field F around a piecewise C1 path γ is the line integral ∫γF⋅dr of Scalar line integrals with respect to arc length and vector-field line integrals.

[F13]

ACω is the countable-choice principle invoked by the measure and distribution interfaces above (The Axiom of Countable Choice (ACω)).

Proof

technique · direct; local integrability by polar coordinates, one excision limit, and the divergence theorem on a cylindrical annulus
1.1givenF3F5

The axis Z={(0,0,x3):x3∈R} is closed, hence Borel. By [F3] in the product R2×R, λ3(Z)=∫Rλ2({(0,0)}) dx3=0, because the singleton in R2 is null by [F5].

1.2givenF6F7

On R3∖Z the components of f are quotients of polynomials with nonvanishing denominator x12+x22, so by [F6] the partial derivatives exist and satisfy ∂1f1=2x1x2ρ4, ∂2f2=−2x1x2ρ4, ∂1f2=x22−x12ρ4, ∂2f1=x22−x12ρ4 and ∂3f=0. Summing by [F7] gives div⁡f=∂1f1+∂2f2=0, and the curl coordinates are ∂1f2−∂2f1=0, ∂3f1−∂1f3=0 and ∂2f3−∂3f2=0; hence div⁡f=curl⁡f=0 pointwise on R3∖Z.

1.3givenF8F12

Fix r>0 and a height h∈R, and let γ(t)=(rcos⁡t,rsin⁡t,h), t∈[0,2π], a closed C1 path whose velocity is γ′(t)=r eφ(γ(t)) by [F8]. On the trace, f(γ(t))=r−1eφ(γ(t)), so the integrand of the vector line integral of [F12] is the constant f(γ(t))⋅γ′(t)=r−1⋅r=1, and the circulation is ∫02π1 dt=2π.

2.1givenstep 1.1F1F2F3F4F5

Let U=R3∖Z and define f~:R3→R3 by f~=f on U and f~=0 on Z. For every open O⊆R3, continuity of f on U makes f−1(O) open in U, hence open in R3 because U is open. The inverse image f~−1(O) is f−1(O) if 0∉O, and f−1(O)∪Z if 0∈O; both are Borel, since Z is closed. The class C={B⊆R3:f~−1(B) is Borel} is a sigma-algebra: inverse images preserve complements and countable unions. It contains every open set, hence every Borel set by [F5]. Thus f~ is Borel measurable without applying the cited full-space continuity result to f. For its local integrability, let K⊂R3 be compact and choose R>0, H>0 with K⊂{∣x3∣≤H, ρ≤R}. By Tonelli [F3] and the polar formula [F4] in dimension two, applied to the nonnegative Borel function u(x)=ρ−11{∣x3∣≤H, ρ≤R}(x) off Z, with u=0 on Z (the same open-inverse-image argument proves measurability of ρ−1 extended by zero, and restriction to this closed cylinder preserves it), ∫R3u dλ3=∫−HH(∫ρ≤Rρ−1 dλ2)dx3=∫−HHR σ(S1) dx3=2HR σ(S1), and this is finite because σ is a finite measure [F4]. Since ∣f~∣=ρ−1 off Z and Z is null by step 1.1, 1K∣f~∣≤u off a null set, so ∫K∣f~∣ dλ3<+∞. Hence f∈Lloc1(R3) and Tf is a well-defined distribution by [F1], [F2].

3.1givenstep 1.1step 2.1F1F2F11

The regular-distribution pairings of [F1] and [F2] give ⟨curl⁡Tf,ψ⟩=∫R3f⋅curl⁡ψ dλ3 and ⟨div⁡Tf,φ⟩=−∫R3f⋅∇φ dλ3, the integrands being dominated by ∥curl⁡ψ∥∞ρ−11supp⁡ψ and ∥∇φ∥∞ρ−11supp⁡φ, which are integrable by step 2.1. Fix R>0 with supp⁡ψ∪supp⁡φ⊂{ρ<R, ∣x3∣<R} and put Vε:={ε<ρ<R, ∣x3∣<R} for 0<ε<R. The functions 1Vεf⋅curl⁡ψ are dominated by ∣f⋅curl⁡ψ∣ and converge pointwise off the null axis Z of step 1.1 to f⋅curl⁡ψ; by [F11], ∫R3f⋅curl⁡ψ dλ3=lim⁡ε→0∫Vεf⋅curl⁡ψ dλ3, and the same argument gives ∫R3f⋅∇φ dλ3=lim⁡ε→0∫Vεf⋅∇φ dλ3.

4.1givenstep 1.2step 3.1F7F8F9F10

On the neighborhood {ρ>ε/2} of the compact closure Vε‾ the field ψ×f is C1, since f is smooth there, and by [F7] its divergence is div⁡(ψ×f)=f⋅curl⁡ψ−ψ⋅curl⁡f; here curl⁡f=0 on Vε by step 1.2. Applying the divergence theorem [F9] on Vε gives ∫Vεf⋅curl⁡ψ dλ3=∫∂Vε(ψ×f)⋅ν dS. The faces at ρ=R and at ∣x3∣=R contribute 0 because supp⁡ψ⊂{ρ<R, ∣x3∣<R}; on the inner cylinder the outward normal is −eρ and f=eφ/ε, so by [F8] the remaining term is (ψ×eφ)⋅(−eρ)/ε=−ψ⋅(eφ×eρ)/ε=ψ3/ε, and the surface integral of [F10] over the chart X(θ,z)=(εcos⁡θ,εsin⁡θ,z) gives ∫ρ=ε,∣x3∣<Rψ3ε dS=∫02π∫−RRψ3(εcos⁡θ,εsin⁡θ,z) dz dθ.

4.2givenstep 1.2step 3.1F7F9

On the same neighborhood the field φf is C1, and div⁡(φf)=f⋅∇φ+φdiv⁡f by [F7]; here div⁡f=0 on Vε by step 1.2. The divergence theorem [F9] gives ∫Vεf⋅∇φ dλ3=∫∂Vεφ f⋅ν dS. On both cylinder faces f⋅ν=0 because f⊥eρ, and on the two cap annuli φ=0 because supp⁡φ⊂{∣x3∣<R}; hence ∫Vεf⋅∇φ dλ3=0 for every ε.

5.1step 3.1step 4.2

With step 4.2, the identity ∫R3f⋅∇φ dλ3=lim⁡ε→0∫Vεf⋅∇φ dλ3 of step 3.1 gives ∫R3f⋅∇φ dλ3=0, and therefore ⟨div⁡Tf,φ⟩=0 for every scalar test φ by step 3.1.

5.2step 4.1F11

The double integral of step 4.1 has the limit ∫02π∫−RRψ3(0,0,z) dz dθ=2π A(ψ) as ε→0. Indeed, ψ3 is continuous on R3, hence uniformly continuous on the compact set {x:ρ≤R, ∣x3∣≤R} by [F11], so for η>0 there is δ>0 with ∣ψ3(εcos⁡θ,εsin⁡θ,z)−ψ3(0,0,z)∣≤η whenever 0<ε<δ and (θ,z)∈[0,2π]×[−R,R]; dominated convergence [F11] on the finite-measure rectangle, or equivalently the estimate with the constant majorant η, gives convergence of the double integrals; the limit integrand does not depend on θ, and finite linearity [F11] gives the iterated integral (∫02π1 dθ)(∫−RRψ3(0,0,z) dz)=2π A(ψ).

6.1step 3.1step 4.1step 5.2

Combining steps 3.1, 4.1 and 5.2, ⟨curl⁡Tf,ψ⟩=∫R3f⋅curl⁡ψ dλ3=lim⁡ε→0∫Vεf⋅curl⁡ψ dλ3=lim⁡ε→0∫02π∫−RRψ3(εcos⁡θ,εsin⁡θ,z) dz dθ=2π A(ψ) for every vector test ψ, which is the claimed identification curl⁡Tf=2π e3 δZ.

7.1step 1.2step 1.3step 2.1step 5.1step 6.1F2F13∎

Steps 5.1 and 6.1 prove the two distributional identities of (c), step 1.2 proves the pointwise vanishing (b), and step 1.3 proves the circulation (d); step 2.1 is (a). Every pairing above is an integral of a locally integrable function against a smooth test, so no product of two distributions is formed. Countable Choice is used only through the measure and distribution interfaces [F13], namely Tonelli, polar coordinates, the nullity of countable sets and the regular-distribution embedding; no stronger choice principle occurs.

Source notes

Tong, Section 3.1.1, printed pp. 42-43, and Griffiths, Section 5.3.1, printed pp. 221-222, supply the wire field and its circulation; the distributional identity curl⁡Tf=2πe3δZ is the exact mathematical content behind the distributional divergence computation of Griffiths, Section 1.5.1, printed pp. 45-46, and the sheet bookkeeping of Chew, Lecture 4 Section 4.3.3, printed pp. 46-48. The lemma is a pure computation on the declared explicit field.

Depends on

Dependency tree · 2 levels

Sources