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✓ 4 results · all verified · 3 also independently AI-judged
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Volume integral scattering and partial wave error — Examples

1 · Prerequisites

2 · Summary

These examples give a strict small-norm ball bound with an explicit Born tail, an exact conditional amplification factor for a near-unit eigenmode, exact zeroth-mode matching for a radial square well, and a forward-direction witness showing why a fixed angular cutoff fails for high-frequency plane waves. The eigenmode and exact square-well conclusions remain conditional calculations. For supplied positive-real parameter enclosure interfaces, the square-well verification additionally constructs the two generally non-dyadic spherical arguments and certifies the matching coefficients to any positive rational absolute tolerance using sufficiently large finite caps. Zero-containing coefficient enclosures carry no relative certificate. No physical resonance is asserted.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

A fixed partial-wave cutoff misses the forward high-frequency plane wave

Example

Assume Countable Choice and Dependent Choice. For a fixed direction d∈S2, consider the incident plane wave gk(ω)=eikd⋅ω on the unit sphere. Let ΠL denote projection onto degrees 0,…,L. For each fixed L, its value at the forward direction tends to zero as k→∞, whereas gk(d)=eik has modulus one. Thus a fixed angular cutoff has forward error tending to one; uniform high-frequency accuracy below one requires the cutoff to tend to infinity.

Verification

Given: d∈S2, k>0, and integer L≥0.

[F1] The addition kernel for degree ℓ is Zℓ(ω,η)=2ℓ+14πPℓ(ω⋅η). Expanding the finite orthogonal projection in an orthonormal basis gives its kernel Zℓ, so (ΠLg)(d)=∑ℓ=0L∫S2Zℓ(d,ω)g(ω)dσ(ω) (Spherical harmonics form a complete basis with the addition formula).

[F2] In the coordinates ω(t,ϕ)=(1−t2cos⁡ϕ,1−t2sin⁡ϕ,t), the map T(r,t,ϕ)=rω(t,ϕ) is a C1 diffeomorphism from (0,1)×(−1,1)×(0,2π) onto the open unit ball with its meridional half-plane removed, and ∣det⁡DT∣=r2. The omitted half-plane is null by the singular clause of the linear change-of-variables theorem. The C1 change-of-variables theorem and the radial-cone definition of dσ therefore give dσ=dt dϕ on this chart. Rotations preserve dσ because they preserve radial cones and have determinant one (The polar surface set function on the unit sphere, Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma, A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions, A linear map T of Rn sends Lebesgue measurable sets to Lebesgue measurable sets, with λn(T[E])=∣det⁡T∣ λn(E) when T is invertible and T[E] Lebesgue null when it is not). Choosing a rotation taking d to the north pole yields ∫S2h(d⋅ω)dσ(ω)=2π∫−11h(t)dt for every continuous h.

[F3] For real t, the complex derivative theorem gives ddteikt=ikeikt; this follows from the difference quotient with complex increment ikh (The complex exponential is entire and its complex derivative is itself).

1.1F1F2F3givenalgebra

By [F1] and [F2], (ΠLgk)(d)=∑ℓ=0L2ℓ+12∫−11eiktPℓ(t)dt. For a fixed polynomial Pℓ, integration by parts gives ∣∫−11eiktPℓ(t)dt∣≤∣Pℓ(1)∣+∣Pℓ(−1)∣+∫−11∣Pℓ′(t)∣dtk. Summing finitely many terms yields ∣(ΠLgk)(d)∣≤CL/k for a finite constant CL independent of k.

2.1F4step 1.1algebra∎

Since ∣gk(d)∣=∣eik∣=1, step 1.1 and the reverse triangle inequality give ∣gk(d)−(ΠLgk)(d)∣≥1−CL/k→1. If integer cutoffs L(k) failed to tend to infinity as k→∞, there would be L0 and a sequence kn→∞ with L(kn)≤L0; the finite maximum C=max⁡0≤j≤L0Cj would give the same lower bound 1−C/kn→1 along that sequence. Thus a cutoff with uniform error bounded by any fixed ε<1 for all sufficiently large k must satisfy L(k)→∞.

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A small-norm ball scatterer has a certified Born tail

Example

Assume Countable Choice. Take D=B(0,1)⊂R3, constant contrast q=1/2, real k, and arbitrary f∈L2(D). The general kernel estimate gives ∥Kk∥≤1/6<1, so the Born series converges and its mth partial sum has an explicit geometric error bound.

Verification

Given: Countable Choice, the ball, contrast and volume operator from The three-dimensional volume integral scattering model.

[F1] The ball has volume 4π/3 and diameter 2 (A closed three-dimensional ball of radius r≥0 has volume 4πr3/3).

[F2] For the three-dimensional kernel, ∥Kk∥≤∥q∥∞∣D∣diam⁡(D)/(4π) (The three-dimensional free-space scattering kernel is square integrable).

[F3] If ∥Kk∥=ρ<1, the equation has a unique solution and Born tail ∥u−∑j=0mKkjf∥2≤ρm+1∥f∥2/(1−ρ) (Born truncation error for a small-norm volume integral operator).

1.1F1F2algebra

Substituting ∣D∣=4π/3, diam⁡(D)=2, and ∥q∥∞=1/2 into [F2] gives ∥Kk∥≤(1/2)(4π/3)2/(4π)=1/6<1.

2.1F3step 1.1algebra∎

Set ρ=∥Kk∥. Step 1.1 gives 0≤ρ≤1/6<1, so [F3] applies and yields a unique solution and ∥u−∑j=0mKkjf∥2≤ρm+11−ρ∥f∥2≤(1/6)m+11−1/6∥f∥2. The last inequality follows termwise from ρm+1/(1−ρ)=∑n=m+1∞ρn, which is increasing on [0,1).

ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passOpen item page →

A near-unit volume-operator mode amplifies forcing error

Example

Conditionally suppose a compact volume operator Kk has a normalized eigenmode ϕ with eigenvalue λ≠1, and suppose I−Kk is injective. The Fredholm branch then applies. Forcing along ϕ is amplified by exactly ∣1−λ∣−1; this example does not claim that every physical contrast has such an eigenvalue.

Verification

Given: AC, the compact volume operator Kk, injectivity of I−Kk, and Kkϕ=λϕ with ∥ϕ∥2=1 and λ≠1.

[F1] AC, compactness of Kk, and injectivity of I−Kk give a unique solution for each forcing and a bounded inverse (Fredholm solvability and residual stability for volume scattering).

[F2] The compactness hypothesis is supplied for the model by The volume integral scattering operator is compact.

1.1givenF1F2algebra

By [F2], the model operator is compact; together with the assumed injectivity and λ≠1, the Fredholm result [F1] applies. The vector u=(1−λ)−1ϕ satisfies (I−Kk)u=(1−λ)−1(1−λ)ϕ=ϕ. Uniqueness from [F1] identifies this with the solution for forcing f=ϕ, so ∥u∥2=∣1−λ∣−1.

2.1givenstep 1.1algebra∎

For perturbed forcing fδ=(1+δ)ϕ, linearity and the same eigenvector calculation give uδ=(1+δ)(1−λ)−1ϕ. Therefore ∥uδ−u∥2=∣δ∣/∣1−λ∣, while ∥fδ−f∥2=∣δ∣. As λ approaches 1 through values unequal to 1, this exact amplification factor grows without bound; the eigenpair remains a conditional hypothesis.

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Exact matching for the radial square well in the zeroth partial wave

Example

Assume Countable Choice and Dependent Choice. Let Q(r)=V0>0 on 0≤r≤R, let k>0, and put κ=k2+V0. In the ℓ=0 reduced radial channel with incident regular mode winc(r)=sin⁡(kr)/k, write the regular interior solution as Asin⁡(κr) and the exterior total mode as sin⁡(kr)/k+Beikr. Exact continuity of the value and derivative determines A and B below.

Verification

Given: Countable Choice, Dependent Choice, R,k,V0>0, and the ℓ=0 matching statement of Radial volume scattering separates into matched partial-wave boundary problems.

[F1] For a constant radial contrast Q=V0, the reduced ℓ=0 equation is w′′+(k2+V0)w=0 inside and w′′+k2w=0 outside; matching requires w,w′ continuous (Radial volume scattering separates into matched partial-wave boundary problems).

[F2] The outgoing zeroth spherical Hankel function is h0(1)(z)=−ieiz/z, so a constant multiple of rh0(1)(kr) is a constant multiple of eikr (Spherical Bessel and outgoing Hankel function conventions).

[F3] Soundness and eventual absolute precision for spherical Bessel enclosures and Scaled spherical Bessel evaluation on positive real arguments: positive represented real arguments admit containing enclosures for spherical values and their first argument derivatives at any positive rational absolute tolerance when sufficiently large finite caps are supplied. Fixed capped calls may return inconclusive instead; a zero-containing output has no relative certificate.

1.1F1F2given

By [F1], the regular interior mode has form Asin⁡(κr); the exterior mode stated in the Example is the free regular incident mode plus the outgoing ℓ=0 mode by [F2]. At r=R, continuity of value gives BeikR=Asin⁡(κR)−sin⁡(kR)/k.

1.2givenalgebraconstruct

For numerical comparison only, suppose additionally that k,R,V0 are supplied by terminating dyadic enclosure interfaces whose widths on request q are at most 2−q. Their exact values retain the unrestricted real domain in the Example. To supply either composed argument on a width request 2−n, scan q=n,n+1,…, request all three parameter boxes at q, and skip until they have positive lower endpoints. Denote them by Kq,Rq,Vq and form the positive dyadic radicand box [Lq,Uq]=Kq2+Vq. Choose an integer Nq≥1 with Nq2≥Uq, by scanning positive integers. For each endpoint x∈{Lq,Uq}, start with [0,Nq] and perform q bisections: a dyadic midpoint m replaces the lower endpoint if m2≤x, and otherwise replaces the upper endpoint. The bracket always contains x and its width is Nq2−q. Use the lower endpoint of the Lq bracket and upper endpoint of the Uq bracket to form Sq⊃[Lq,Uq]. Form Zq=KqRq and Z~q=SqRq, and return the requested one when its lower endpoint is positive and its width is at most 2−n; otherwise continue the scan. Every operation before a scan increment is finite. The parameter boxes are eventually bounded and bounded away from zero, so Nq is eventually bounded. Also Uq−Lq=(Uq−Lq)/(Uq+Lq)→0, and width⁡(Sq)≤Uq−Lq+2Nq2−q→0. Interval product widths tend to zero by boundedness and the product-width inequality. Thus both returned intervals eventually have positive lower endpoints and the required width; every requested scan terminates. They contain exactly kR and κR, which need not be dyadic.

2.1F1step 1.1algebra

Continuity of derivative gives Aκcos⁡(κR)=cos⁡(kR)+ikBeikR. Substitute step 1.1 and rearrange to obtain A(κcos⁡(κR)−iksin⁡(κR))=cos⁡(kR)−isin⁡(kR)=e−ikR.

3.1givenstep 2.1algebra

The denominator has squared modulus κ2cos⁡2(κR)+k2sin⁡2(κR)>0, because k,κ>0 and sine and cosine cannot both vanish. Hence A=e−ikRκcos⁡(κR)−iksin⁡(κR) and B=e−ikR(Asin⁡(κR)−sin⁡(kR)k). If V0=0, then κ=k, these formulas reduce to A=1/k and B=0, the unscattered solution.

4.1F2F3step 3.1step 1.2algebraconstruct∎

For z>0, the degree-zero definitions and their first derivatives give sin⁡z=zj0(z), cos⁡z=j0(z)+zj0′(z) and eiz=izh0(1)(z). At stage j≥1, use step 1.2 to enclose the arguments and parameters with widths at most 2−j; invoke [F3] at the two represented arguments with absolute tolerance 2−j, setting all four evaluator caps successively to t=1,2,… until each call succeeds. For this fixed j the sufficient-cap assertion in [F3] proves that each search terminates. Reconstruct these elementary values by exact interval operations, enclose κ by dividing the κR enclosure by the positive R enclosure, and use complex conjugation for e−ikR. The exact denominator D=κcos⁡(κR)−iksin⁡(κR) satisfies ∣D∣2≥k2>0, since κ≥k and cos⁡2+sin⁡2=1. The shrinking enclosures therefore eventually exclude zero for D and k. Enclose 1/D as D‾/((Re⁡D)2+(Im⁡D)2) only when its real denominator interval has positive lower endpoint; the same shrinking-width argument eventually certifies this condition. Then the formulas in step 3.1 give containing rectangles for A,B with widths tending to zero, because sums and products of bounded shrinking intervals shrink and these divisions have denominators bounded away from zero. Round the final coefficient endpoints outward to the dyadic grid 2−jZ, which adds at most 21−j to each component width and preserves containment. Consequently scanning j until any specified positive rational absolute-radius tests pass terminates, although a prescribed finite cap can instead return inconclusive. This procedure proves a certified numerical comparison for represented parameters without altering the exact matching formulas for arbitrary positive real parameters. No relative accuracy for B is asserted when B=0, including the unscattered case.

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