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 be a bounded Lebesgue-measurable set with , and let . Write and . For , extended by zero off , set for and , and let The small-norm contrast class is For , put on . For , let denote the unique solution of . For , define the exact far-field data family by
For , define its first Born data by where is the zero extension of to and for . No uniqueness or stability outside is asserted.
Definition references
The norm and dot product on are the Euclidean ones.
The spaces and consist of measurable functions modulo equality almost everywhere.
The norm is the essential supremum with respect to Lebesgue measure.
The operator norm is the least bound on a bounded linear map between normed spaces.
The outgoing volume model fixes and the far-field convention .
The displayed volume kernel defines a bounded operator on complex .
The far-field map is continuous and is the uniform outgoing limit of the exterior volume potential.
The library Fourier transform uses , giving the frequency .
Countable Choice is the declared axiom branch for the L2 volume model and its Neumann result.
Depends on
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The essential supremum of a measurable function with respect to a measure
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
- Fourier transform on complex L1 classes
- The space $L^p(\mu)$ as the quotient by null functions
- Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space
- The operator norm as the least bound and as the unit-sphere or unit-ball supremum
- The three-dimensional volume integral scattering model
- The volume far-field map is bounded and is the uniform far-field limit
- The volume integral operator is well defined and bounded on L2
- Born truncation error for a small-norm volume integral operator
Used by
- One-pass filtered reconstruction from finite Born data Algorithm
- A compactly supported contrast with volume-operator norm greater than two Example
- A unit contrast on a small cube lies in the Born regime Example
- Finite limited-aperture Born samples miss a nonzero contrast Example
- The first Born data are the Fréchet linearization at zero contrast Lemma
- Well-definedness of the small-norm fixed-frequency scattering map Lemma
Dependency tree · two levels
63 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
- Fioralba Cakoni, David Colton, and Houssem Haddar, Inverse Scattering Theory and Transmission Eigenvalues, CBMS 88 (standard reference, not scraped)
- Otmar Scherzer and Leonidas Mindrinos, Inverse Problems: Lecture Notes, University of Vienna, Sommersemester 2015 (standard reference, not scraped)
- Semyon Dyatlov, MIT 18.155 Lecture Notes: Distributions, Elliptic Regularity, and Applications to PDEs (standard reference, not scraped)