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.
Explicit Runge–Kutta tableaus, stage maps, and failure status
Definition
Let , let be an open time-state domain, and let be the right-hand side of a first-order initial-value problem in the sense of First-order systems, initial value problems, and solutions on intervals. An explicit -stage Runge–Kutta tableau consists of a positive integer , real coefficients , , and with whenever , and The finite row sum is empty, hence .
For a step size and an admitted base pair , the stage graph consists of the finite tuples satisfying These equations characterize each stage from the preceding slopes because for . For a complete stage tuple, the candidate endpoint is
To include unavailable evaluations, let be evaluator response functions on : at each point has value either or the symbol evaluation-failure for stage . Stage-dependent responses allow availability to differ between repeated inputs. A successful prefix of length , , is a stage tuple through index whose stage pairs lie in and whose responses under equal the corresponding slopes . The empty prefix is allowed. For any prefix of length , the next pair is characterized by the same displayed equations using its already specified slopes. There is a unique maximal successful prefix, since every admissible successful extension has the uniquely specified slope .
The status-labelled stage map is the following mathematical map. For a maximal prefix of length , its value is domain-failure with index when the next pair is outside , and evaluation-failure with index when that pair lies in and its response under is evaluation-failure. For a complete prefix its value is domain-failure at output when , and success with otherwise. Thus no slope at an inadmissible pair is part of the stage graph. In the exact mathematical model on for every ; evaluation-failure represents only an unavailable numerical evaluation. On its success domain the state component defines a one-step map in the sense of One-step ODE methods, local defect, uniform order, and step stability.
Depends on
Used by
- Finite-horizon shooting and Runge–Kutta collocation transcription Algorithm
- First-order stabilized explicit Runge–Kutta–Chebyshev step Algorithm
- Second-order linear stabilized Runge–Kutta–Chebyshev step Algorithm
- Second-order nonlinear stabilized Runge–Kutta–Chebyshev step Algorithm
- The three-stage third-order SSP Runge–Kutta step Algorithm
- Embedded Runge–Kutta pair and difference estimator Definition
- Fine and coarse propagators on a common macro grid Definition
- Runge–Kutta tableaux and stage collocation equations Definition
- The ARS(2,2,2) additive tableau and its three stages Definition
- The explicit Euler, midpoint, and classical fourth-order Runge–Kutta tableaus Definition
- A chemical-dosing model under a constant admissible dose Example
- Explicit midpoint loses its uniform second-order defect bound at a time kink Example
- A linear-quadratic transcription with affine constraints is a convex QP Lemma
- Differentiated explicit RK stages give local C1 order Lemma
- One-step Lipschitz bound for classical RK4 on an admitted tube Lemma
- Orders and scalar stability functions of Euler, midpoint, and classical RK4 Proposition
- SSPRK(3,3) is third order and preserves conditional convex bounds Proposition
- Sufficient explicit Runge–Kutta order conditions through order four Proposition
Dependency tree · two levels
18 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, course notes, Chapter III: Équations Différentielles Ordinaires, §III.2 (standard reference, not scraped)
- MIT OpenCourseWare, 18.330 Introduction to Numerical Analysis, Chapter 5: Methods for Ordinary Differential Equations (standard reference, not scraped)