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.
Runge–Kutta tableaux and stage collocation equations
Definition
Let be a stage count, , and satisfy for each . This is a (possibly implicit) Runge–Kutta tableau. On mesh cell with width , a start state and piecewise-constant control , define stage times and the collocation stage equations The equations are admissibly defined only for , , and stage inputs for every , using the domains in Finite-horizon ODE optimal-control transcription data. A transcription procedure must check these memberships before each query of or , including trial stages of an implicit solve, and report a stage-time-domain failure for an invalid time or a stage-domain failure for an invalid state or control without making that query. The corresponding endpoint equation is . In a finite transcription, an implicit tableau's coupled stage residuals are solved internally and the stage variables are eliminated from the outer NLP; the procedure returns the nonlinear stage-solve status and residuals. The quadrature contribution of the cell is . This definition asserts no stage-solution existence, uniqueness, order, stability, or error bound. If is strictly lower triangular, evaluate stages in increasing order : form , check the stated time-state-control memberships, and then evaluate , reporting an unavailable value as a stage-evaluation failure. This uses the explicit tableau coefficients and algebraic recursion of Explicit Runge–Kutta tableaus, stage maps, and failure status, with the finite-horizon domain checks specified here; it does not invoke that item's open-time-domain stage map or require an extension of beyond .
Depends on
Used by
Dependency tree · two levels
8 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
- S. Gros and M. Diehl, Numerical Optimal Control, draft course manuscript, Chapter 13 §13.3 (standard reference, not scraped)
- W. W. Hager, Runge-Kutta methods in optimal control and the transformed adjoint system, Numerische Mathematik 87 (2000) (standard reference, not scraped)