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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.

Multiple-shooting and midpoint-collocation residuals for a phase-fixed periodic orbit

Definition

Use the augmented state u=(x,θ)∈U×(0,∞), field f~(u)=(θf(x),0), and boundary residual B(u0,uN)=(xN−x0,ψ(x0)) from The phase-bordered periodic-orbit BVP residual. On a mesh 0=s0<⋯<sN=1, write ui=(xi,θi).

The endpoint-pair boundary residual and square BVP convention are those of Square nonlinear two-point boundary-value problems and endpoint residuals. The exact multiple-shooting residual has segment rows

Φsi+1−si(ui)−ui+1(0≤i<N)

and final row B(u0,uN), where Φh is the exact flow of f~. Its finite-budget candidate procedure is Finite-budget multiple shooting for a nonlinear two-point BVP on this augmented BVP.

For uniform h=1/N, the normalized midpoint-collocation residual has rows

ui+1−uih−f~ ⁣(ui+ui+12)(0≤i<N)

and final row B(u0,uN). This is Normalized implicit-midpoint collocation residual for a two-point BVP for the same augmented BVP; its finite-budget candidate procedure is Finite-budget implicit-midpoint collocation for a nonlinear BVP. Both systems are square: the state dimension is d+1, with d+1 boundary equations.

Depends on

Used by

Dependency tree · two levels

15 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