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.
Layered medium: harmonic normal and arithmetic tangential means
Example
Let , , and let for and for , extended periodically, where . Then
Facts & Assumptions
Given: A scalar periodic coefficient layered only in the first coordinate, with positive phase values and phase fraction .
Periodic correctors and effective tensor: columns of are averaged corrector fluxes.
Existence and uniqueness of periodic cell correctors: the mean-zero cell correctors are unique.
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: iterated integration of the layered coefficient and smooth periodic test derivatives is valid.
One-dimensional nonaligned micro sampling resonance bound: at phase zero and ratio one, the one-dimensional periodic mean-zero cell solution has averaged flux .
Proof
Set . Apply [F4] to the one-dimensional layered coefficient, with , , phase zero and ratio one. Its mean-zero solution satisfies for every and has mean flux . By the defining periodic closure, take smooth periodic in and subtract their means. Their lifts are smooth periodic, and iterated integration gives . Thus their limit is , with gradient . For every smooth periodic , each slice is an admissible one-dimensional cell test after subtracting its mean, so iterated integration gives . Density extends this identity to ; uniqueness [F2] identifies as the first corrector. Its mean flux is by [F4] and iterated integration.
For each , solves the cell equation: for smooth periodic , iterated integration [F3] in gives by equality of the opposite-face values, and density extends the identity to . Its mean flux is . These columns yield the displayed diagonal matrix.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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