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.
Source-factored transfer rates for zero compartments
Definition
Let be the rates of a finite conservative PDS Finite conservative production destruction systems. A source-factored transfer representation on an open set containing a compact set consists of functions , , such that each is on the open subset in the multivariable sense of maps and multi-index derivative notation in Euclidean space, is nonnegative on , and, for every ,
Here is the transfer rate from donor to recipient per unit of donor quantity. Nonnegativity is required on admissible nonnegative states; the extension to the open neighborhood is used for local analysis and need not be nonnegative at inadmissible states with negative coordinates. The factorization is an additional hypothesis, not a consequence of nonnegative rates and the identity . On strictly positive states the ratio equals ; at a zero donor coordinate the factorized coefficient remains defined and avoids the indeterminate expression .
Depends on
Used by
Dependency tree · two levels
7 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
- Stefan Kopecz and Andreas Meister, On order conditions for modified Patankar-Runge-Kutta schemes, §2 (standard reference, not scraped)
- Sergio Blanes, Arieh Iserles, and Shev Macnamara, Positivity-preserving methods for ordinary differential equations, §3.4 (standard reference, not scraped)