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The volume integral scattering operator is compact

Statement

Assume AC and the data of The three-dimensional volume integral scattering model with 0<∣D∣<∞. Then Kk:L2(D;C)→L2(D;C) is compact and ∥Kk∥≤∥Gk(x−y)q(y)∥L2(D×D)≤∥q∥∞∣D∣diam⁡(D)4π.

The proof supplies both the finite-measure Hilbert–Schmidt rescaling route required by the kernel interface and the singular-truncation/Schur route specified for this volume kernel. No uniqueness or outgoing-scattering solvability is asserted here.

Facts & Assumptions

Given: AC, D,q,k as in The three-dimensional volume integral scattering model, the integral operator Kk, and 0<∣D∣<∞.

[F1]

The kernel a(x,y)=Gk(x−y)q(y) is square integrable with ∥a∥22≤∥q∥∞2∣D∣diam⁡(D)/(4π) (The three-dimensional free-space scattering kernel is square integrable).

[F2]

On a finite source and target measure space, Ta is unitarily equivalent to the probability-space kernel operator with kernel MXMYa; for D this is Ma (Rescaling finite-measure kernel operators to probability spaces).

[F3]

Under AC, on a probability space a square-integrable kernel defines a bounded compact operator, with operator norm at most its kernel L2 norm (Square integrable kernels define bounded compact integral operators).

[F4]

If h(x,y) is a measurable kernel with sup⁡x∫∣h(x,y)∣dy≤A and sup⁡y∫∣h(x,y)∣dx≤B, then its integral operator has norm at most AB; the weighted Cauchy–Schwarz/Tonelli proof is given in step 1.2.

[F5]

Under Countable Choice, Cc∞(R3;C) is dense in Euclidean L2 (Complex finite-simple and smooth compact-support density for finite p).

[F6]

A uniformly bounded, equicontinuous family of real functions on a compact metric space has compact closure in the sup norm, under Countable Choice and Dependent Choice (Arzelà--Ascoli for real C(K) under Countable Choice and Dependent Choice: compact closure iff equicontinuous and pointwise bounded).

[F7]

A norm limit of compact operators into a Banach space is compact under Countable Choice (Norm limit of compact operators is compact); AC supplies Countable Choice and Dependent Choice (AC supplies the countable and dependent choices used in Banach integration).

[F8]

Any product L2 kernel h defines a bounded operator with norm at most ∥h∥2 (The volume integral operator is well defined and bounded on L2).

[F9]

Polar coordinates give ∫B(x,ρ)∣x−y∣−2dy=4πρ and the unit sphere area is 4π (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma, A closed three-dimensional ball of radius r≥0 has volume 4πr3/3).

[F11]

Complex L2(D;C) is complete under Countable Choice (Complex Lp completeness and almost-everywhere subsequences), and AC supplies Countable Choice by AC supplies the countable and dependent choices used in Banach integration.

[F12]

Applying The essential supremum is attained as the least essential bound to ∣q∣ gives ∣q∣≤∥q∥∞ almost everywhere; changing a representative on that measurable null set gives the everywhere-bounded q0 used in the Schur estimate.

[F13]

Cauchy--Schwarz on the finite-measure set D gives ∫D∣v∣≤∣D∣∥v∥2 (The complex L2 pairing is well-defined and satisfies Cauchy–Schwarz).

Proof

Given: AC and the scattering data in the Statement.

1.1givenF1F2F3F11

By [F11] and AC, X=L2(D;C) is a Banach space. Normalize D to the probability measure dν=dx/M. By [F2], the operator Kk is unitarily equivalent to the integral operator on L2(D,ν) with kernel a~=Ma. Its kernel norm equals ∥a∥L2(D×D,dx dy) by [F2]. Applying [F3] to this probability-space kernel gives compactness of the normalized operator and its norm bound; unitary equivalence transfers both to Kk.

1.2givenF1F9F12algebra

We also verify the singular-truncation route. By [F12], choose a measurable representative q0 and set it to zero on the measurable null set where ∣q0∣>∥q∥∞. This does not change the operator, since the kernel changes only on a product-null set, and now ∣q0(y)∣≤∥q∥∞ for every y. For ε>0, put χε(r)=0 for r≤ε, χε(r)=(r−ε)/ε for ε<r<2ε, and χε(r)=1 for r≥2ε. Let Kε have kernel χε(∣x−y∣)Gk(x−y)q0(y). The difference kernel is supported where ∣x−y∣<2ε and bounded in modulus by ∥q∥∞/(4π∣x−y∣). By [F9] its row and column integrals, for every fixed row and column, are at most A=B≤(∥q∥∞/(4π))4π∫02εr dr=2∥q∥∞ε2. For each x, weighted Cauchy–Schwarz gives ∣Thv(x)∣2≤(∫∣h(x,y)∣dy)(∫∣h(x,y)∣∣v(y)∣2dy); integrating and using Tonelli yields ∥Thv∥22≤AB∥v∥22. Hence ∥K−Kε∥≤2∥q∥∞ε2.

1.3givenF5F6F10F13construct

Fix ε>0. Extend the everywhere-bounded representative q0 by zero to R3; it lies in L2(R3) because q∈L∞(D) and ∣D∣<∞. By [F5], choose qj∈Cc∞(R3;C) with ∥qj−q0∥L2(D)→0. The kernel gε,j(x,y)=χε(∣x−y∣)Gk(x−y)qj(y) extends continuously to the compact set D‾×D‾ by assigning zero on x=y; the cutoff vanishes near the diagonal. For ∥v∥2≤1, the integral is independent of the representative of v, and by [F13] its outputs obey ∣Tε,jv(x)∣≤∣D∣∥gε,j∥∞ and ∣Tε,jv(x)−Tε,jv(x′)∣≤∣D∣sup⁡y∣gε,j(x,y)−gε,j(x′,y)∣. Uniform continuity of gε,j makes these outputs uniformly bounded and equicontinuous. Applying [F6] separately to real and imaginary parts gives compact closures CR,CI in C(D‾;R). The product CR×CI is compact by finite-product compactness. Under the homeomorphism w↦(Re⁡w,Im⁡w), the closure of the complex output family is a closed subset of this compact product, hence compact in C(D‾;C). The inclusion is continuous because ∥w∣D∥2≤∣D∣∥w∥C(D‾); hence Tε,j:L2(D)→L2(D) is compact.

2.1givenF5F7F8step 1.3algebra

Since ∣χεGk∣≤(4πε)−1, the square norm of the kernel difference between Kε and Tε,j is at most ∣D∣(16π2ε2)−1∥q−qj∥L2(D)2. [F8] therefore gives ∥Kε−Tε,j∥→0. By [F7], Kε is compact.

3.1F1F2F3F7step 1.1step 1.2step 2.1algebra∎

As ε↓0, step 1.2 gives ∥K−Kε∥≤2∥q∥∞ε2→0. Applying [F7] again shows K is compact. Step 1.1 independently gives the displayed norm estimate and compactness with the finite-measure Hilbert–Schmidt normalization.

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