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.
A unit contrast on a small cube lies in the Born regime
Example
Assume Countable Choice. Let be the unique real satisfying , take , , and the unit contrast . Then , so and the exact far-field data lie on the small-norm Born branch. Uniformly over all incident and observation directions, the first Born amplitude error is at most .
Example references
Facts & Assumptions
Given: Countable Choice, with and , , and .
The small-norm domain is (Fixed-frequency far-field data on the small-norm volume branch).
The volume operator satisfies (The volume integral operator is well defined and bounded on L2).
For , the uniform Born remainder is at most and, when , at most (The first Born data are the Fréchet linearization at zero contrast).
The Lebesgue measure of the closed cube is (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
The Euclidean norm in is (The Euclidean inner product on ).
The unique nonnegative real satisfying exists, and it is positive because the right-hand side is positive (Existence and uniqueness of -th roots: a unique with , Pi as twice the smallest positive zero of cosine).
Countable Choice is assumed in the L2 operator and Neumann-series suppliers (The Axiom of Countable Choice ()).
Verification
Given: The data above.
By [F4], . The coordinate formula [F5] shows that the largest distance in the cube is attained by opposite corners and is . Also .
Substituting the values from step 1.1 into [F2] gives The final strict inequality follows from . Hence by [F1].
Apply [F3] with , , and . Since , it gives the uniform error bound This verifies the claimed Born-regime example.
Depends on
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
- Fixed-frequency far-field data on the small-norm volume branch
- Pi as twice the smallest positive zero of cosine
- The three-dimensional volume integral scattering model
- The first Born data are the Fréchet linearization at zero contrast
- The volume integral operator is well defined and bounded on L2
- A box in $\mathbb{R}^n$ with parameters $a_i\le b_i$ is Lebesgue measurable of measure $\prod_{i<n}(b_i-a_i)$, whichever of its faces are included
- Existence and uniqueness of $n$-th roots: a unique $a^{1/n} \ge 0$ with $(a^{1/n})^n = a$
- Born truncation error for a small-norm volume integral operator
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
78 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)