Alphabeta Math
AlgorithmAlgorithm: Literature-sourcedProof: 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.

Backward-Euler convolution quadrature for a Caputo equation

Definition

Input 0<α<1, a step size h>0, an integer N≥1, λ≥0, an initial value u0, and forcing values F1,…,FN. If any admissibility condition fails, return invalid-input. Set ω0=1 and compute ω1,…,ωN in increasing order by

ωj:=j−1−αj ωj−1.

Set V0=0 and U0=u0. For n=1,…,N in increasing order, compute

Vn:=Fn−λu0−h−α∑j=1nωjVn−jh−α+λ,Un:=u0+Vn.

For any sequence V0,…,VN with V0=0, use the notation

∂ˉhαVn:=h−α∑j=0nωjVn−j.

Return U0,…,UN. A finite-precision implementation that cannot certify a scalar solve returns solve-failed without reporting a value. No FFT or truncated-memory error claim is included.

Remarks

The coefficient sequence is identified with the principal-branch backward-Euler symbol in Principal-branch generating function for backward-Euler convolution quadrature. Its sign and partial-sum bounds used for scalar stability are proved in Backward-Euler fractional weights and positive partial sums.

Depends on

Used by

Dependency tree · two levels

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Sources