Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-generatedPipeline-generatedprecheck passjudge 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.

M-node collocation has global order M

Statement

Let M≥1 and suppose the hypotheses of M-node collocation has local defect order M and Small-step collocation maps are Lipschitz stable hold uniformly on a fixed interval [0,T]. Starting with the exact initial value and using the collocation endpoint map on a uniform mesh, the maximum grid error is O(hM) as h=T/N↓0.

Facts & Assumptions

Given: The exact IVP solution, a uniform mesh, the M-node collocation endpoint map, and uniform tube and branch hypotheses.

[F1]

M-node collocation has local defect order M: the exact-start one-step defect is uniformly O(hM+1).

[F2]

Small-step collocation maps are Lipschitz stable: for sufficiently small h, the one-step map is Lipschitz with a bound 1+L0h for a fixed L0.

[F3]

Global error from uniform one-step defect and stability: on a fixed interval, exact initial data, local defect O(hp+1) and a (1+L0h) stability bound imply global error O(hp).

[A1]

The exact solution, numerical grid states, stages and comparison segments stay in the common compact tube for every mesh step.

Proof

1.1A1F1F3

By [F1], take a mesh-independent constant C with ∥Ψh,n(y(tn))−y(tn+1)∥2≤ChM+1 for every step. This is the local-defect hypothesis of [F3] with p=M.

2.1A1F2F3step 1.1∎

By [F2] the same endpoint maps satisfy the fiberwise stability bound required in [F3]; the initial error is zero by hypothesis. Applying [F3] with p=M proves max⁡n∥yn−y(tn)∥2=O(hM).

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

20 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