Alphabeta Math
AlgorithmAlgorithm: AI-adaptedProof: Not applicablePipeline-generated
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.

Finite-budget index-one DAE consistent initialization

Definition

Let f,g define a regular index-one DAE and let U×V be a selected local branch chart from A regular index-one DAE has a local reduced ODE branch, so g(t,x,z)=0 is equivalent to z=ψ(t,x) there. Input t0,x0, a seed zseed∈V, an algebraic residual tolerance εa≥0, and a finite Newton-correction budget N∈N0. If (t0,x0)∉U, g(t0,x0,⋅) is undefined at the seed, or dimensions do not match, return invalid-input.

Call Finite-budget Newton for a square vector residual on the square residual G(z)=g(t0,x0,z), with initial value zseed, tolerance εa, and budget N, restricting evaluations to the chart's open z-domain. Write z0 for its returned last valid iterate. If it reports root, reevaluate G(z0) once: if that residual is exactly zero, return (x0,z0,exact-consistent); otherwise return (x0,z0,approximate-consistent) and its norm. Map singular-jacobian, invalid-trial, and iteration-budget-exhausted to the corresponding initialization statuses and return the last valid iterate.

The procedure makes no arbitrary-start convergence claim. approximate-consistent records a residual bound; it is not relabeled as exact consistency. Under the index-one branch hypotheses an exact consistent value exists locally, by A regular index-one DAE has a local reduced ODE branch, but the finite Newton budget may fail to find it.

The solve has m algebraic unknowns. Record residual queries, Jacobian assemblies and correction solves separately. Their costs depend on the chosen backend.

Depends on

Used by

Dependency tree · two levels

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Sources