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DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-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.

Fixed-frequency far-field data on the small-norm volume branch

Definition

Assume Countable Choice. Let D⊂R3 be a bounded Lebesgue-measurable set with 0<M:=∣D∣<∞, and let k>0. Write S2:={v∈R3:∣v∣=1} and CD:=M diam⁡(D)/(4π). For q∈L∞(D;C), extended by zero off D, set Gk(z):=eik∣z∣/(4π∣z∣) for z≠0 and Gk(0):=0, and let Kq,kv(x):=∫DGk(x−y)q(y)v(y) dy,ρk(q):=∥Kq,k∥L2(D)→L2(D). The small-norm contrast class is UD,k:={q∈L∞(D;C):ρk(q)<1}. For d∈S2, put fk,d(x):=eikd⋅x on D. For q∈UD,k, let uq,k,d∈L2(D;C) denote the unique solution of u=fk,d+Kq,ku. For q∈UD,k, define the exact far-field data family by Sk(q)(θ,d):=14π∫De−ikθ⋅yq(y)uq,k,d(y) dy,(θ,d)∈S2×S2.

For h∈L∞(D;C), define its first Born data by Bkh(θ,d):=14π∫De−ikθ⋅yh(y)eikd⋅y dy=14πh0^ ⁣(k2π(θ−d)), where h0 is the zero extension of h to R3 and g^(ξ):=∫R3g(y)e−2πiy⋅ξ dy for g∈L1(R3;C). No uniqueness or stability outside UD,k is asserted.

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