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.
Shin's parabolic operator, data, and initial-lateral boundary
Definition
Let be nonempty, bounded, and open, let , and set and The final-time face is excluded from . For time-dependent coefficients define Where the coefficient derivatives exist, write its nondivergence expansion as where and . For symmetric , the drift also equals , the form used by the symmetric source consumers. The initial-boundary value problem uses the sign convention with compatibility on . Its residual for a trial function is , and its prescribed-data error is measured on .
For the source notation , use the parabolic distance Let and . For , set and . For an integer , define The class consists of functions for which with the indicated derivatives continuous in . This fixes the source's weighted parabolic Hölder convention.
Definition references
Source indexing discrepancy
The source displays while its expanded coefficients and energy argument count only once. Read literally, that displayed sum instead gives and changes both the drift and potential. The active definition above separates the two sums explicitly and agrees with the stated expanded coefficients. The original printed expression is retained here as a source discrepancy, not used as an algebraic identity.
Depends on
Used by
Dependency tree · two levels
12 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
- Shin, Darbon, and Karniadakis, On the Convergence of Physics-Informed Neural Networks for Linear Second-Order Elliptic and Parabolic Type PDEs (standard reference, not scraped)
- John K. Hunter, Notes on Partial Differential Equations (standard reference, not scraped)