Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-generatedPipeline-generatedprecheck pass
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 Gauss collocation has local defect order 2M

Statement

Assume Countable Choice for the Lebesgue interval-measure formula. Let M≥1, fix a time t and an exact IVP solution y on an interval containing [t,t+h0] for some h0>0, and put u=y(t). Let D⊆R×Rd be open and let f:D→Rd be an IVP vector field on a neighborhood of a common compact convex tube along this exact path, its collocation branch, and connecting segments. Assume each scalar coordinate of f has continuous partial derivatives through total order 2M+1, bounded on the tube; vector smoothness and derivative estimates are componentwise, using scalar Taylor results coordinatewise. Use the M-node Gaussian rule for Lebesgue measure on [0,1], assume ∥Dyf∥op≤L there, and assume the stage branch is uniquely defined in the tube for all sufficiently small h≤h0. Then the exact-start local defect of the collocation endpoint is O(h2M+1) as h↓0. Its constant depends on the fixed nodes and M.

Facts & Assumptions

Given: The Gaussian moment data, its quadrature rule, the matching collocation tableau, and the exact-start IVP and local branch in the Statement.

[F1]

Positive-measure Gaussian quadrature moment data and The m-node Gaussian quadrature rule for a positive measure: for Lebesgue measure on [0,1], the Gauss nodes and weights are defined from the monic orthogonal polynomial and cardinal integrals.

[F2]

Riemann and Lebesgue integrals agree for continuous data on [0,1]: for continuous integrands on [0,1], the Lebesgue and Riemann integrals agree.

[F3]

A Gaussian collocation defect has a high-order weighted endpoint bound: under the stated smoothness, convex-tube and branch assumptions, the Gauss collocation endpoint defect is bounded by Ch2M+1.

[F4]

Collocation tableau from distinct quadrature nodes and Collocation quadrature data are well defined: the resulting collocation coefficients and endpoint map are finite and defined.

[F5]

Lebesgue measure on the unit interval supplies Gaussian moment data: for every M, Lebesgue measure on [0,1] satisfies the order-2M moment-data assumptions used in [F1].

[A1]

Countable Choice, as required by the Lebesgue moment-data verification in [F5].

[A2]

The selected stages and exact path remain in the common tube, including every segment used in the weighted-defect proof; the local branch hypotheses are uniform for sufficiently small h.

Proof

1.1A1F1F4F5construct

By [F5] under [A1] the chosen Gaussian rule has admissible Lebesgue moment data. Fact [F1] gives its nodes and cardinal-integral weights, and [F4] makes the matching collocation tableau finite and defined.

2.1A2F2F3step 1.1∎

The smoothness, common-tube, and branch hypotheses of [F3] are precisely those in the Statement and [A2]. The lemma therefore gives ∥y(t+h)−Ψh(y(t))∥2≤Ch2M+1, which is the claimed exact-start local defect estimate. Agreement of the integral conventions is [F2].

Depends on

Used by

Dependency tree · two levels

77 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