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.
Variable-step BDF2 with an explicit local implicit-branch rule
Definition
Input a vector field , a finite grid , starting states (so ), and for each later step a prescribed closed ball that specifies the admissible implicit branch. Before any evaluation, if either starting state has dimension different from , return invalid-input; otherwise, if any time increment is nonpositive, return invalid-grid. Set and for .
Also supply an exact branch oracle for the step equations below. On input , it returns evaluation-failure if is not defined throughout . Otherwise it returns no-root if the equation has no root in that ball, ambiguous-branch if it has more than one, or with the exact root if it has exactly one. Oracle calls are returning primitives; a realization of this procedure must supply an oracle meeting this contract for every call it reaches. This is an algorithm relative to that oracle; the vector field and ball alone do not provide a general exact root-counting or root-solving procedure.
For , form the equation and call with the current history and prescribed ball:
On , set and continue. On any of the three failure statuses, return that status with the computed prefix. On reaching , return completed and . The procedure admits arbitrary positive adjacent step ratios; no convergence or accuracy property is part of this algorithm.
The coefficients are those obtained from the quadratic interpolation derivative in Quadratic interpolation gives the variable-step BDF2 formula and cubic residual. A separate theorem gives the uniform ratio hypotheses needed for second-order convergence; they are not part of this algorithm.
Depends on
Used by
- Finite-budget coupled constant-step BDF2 for an index-one DAE Algorithm
- Implicit stiff time stepping with a branch and residual ledger Algorithm
- Constant-step BDF2 is second-order convergent with a consistent start and selected roots Corollary
- Unrestricted variable-step ratios amplify a vanishing BDF2 starter error Counterexample
- Uniform-step BDF2 satisfies the Dahlquist conditions Example
- BDF2 roots on or outside the unit disk map to the closed right half-plane Lemma
- The variable-step BDF2 parasitic increment contracts below the sharp ratio threshold Lemma
- Coupled constant-step BDF2 is second order for a regular index-one DAE Theorem
- Variable-step BDF2 is second-order convergent under a uniform ratio bound Theorem
Dependency tree · two levels
9 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
- Ernst Hairer, Syvert P. Nørsett, and Gerhard Wanner, Solving Ordinary Differential Equations I: Nonstiff Problems, 2nd ed., Chapter III.5, pp. 397–401 (standard reference, not scraped)
- G. Söderlind, I. Fekete, and I. Faragó, On the zero-stability of multistep methods on smooth nonuniform grids, §4 (standard reference, not scraped)