Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
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.

Scalar stability function, A-stability, and L-stability for Runge–Kutta methods

Definition

For a Runge–Kutta tableau (A,b,c), apply its stage equations to the scalar test equation y′=λy, with z=hλ. Whenever I−zA is invertible, the stages satisfy Y=(I−zA)−11 y, and the scalar stability function is

R(z)=1+z bT(I−zA)−11.

The scalar stability region is the set of z∈C for which the scalar update has ∣R(z)∣≤1. The method is A-stable when its rational stability function has no pole in {Re⁡z≤0} and ∣R(z)∣≤1 throughout that closed half-plane. It is L-stable when it is A-stable and R(z)→0 as ∣z∣→∞ with Re⁡z≤0.

These are properties of the scalar linear test equation and the tableau's rational function. They do not assert nonlinear contractivity or control of nonnormal matrix growth.

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Sources