Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedprecheck pendingverified 2026-10-23 (gpt-6.1-sol)
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.

Strict hyperbolicity and Lax shock pattern

Definition

For a one-dimensional system Ut+∂xF(U)=0 with F∈C1(O;Rm) on an open state domain O⊆Rm, the system is strictly hyperbolic at V∈O if the Jacobian DF(V) has m distinct real eigenvalues. Write them in increasing order as λ1(V)<⋯<λm(V). For states UL,UR∈O and speed s∈R satisfying the Rankine–Hugoniot equality F(UR)−F(UL)=s(UR−UL), assume strict hyperbolicity at both states. The jump is a k-Lax shock, 1≤k≤m, if λk(UR)<s<λk(UL), and also λk−1(UL)<s when k>1, and s<λk+1(UR) when k<m. The outer inequality is omitted at each endpoint k=1 or k=m.

Remarks

These inequalities describe the incoming-characteristic pattern at a shock. They are a definition: strict hyperbolicity and the Rankine–Hugoniot equality alone do not imply them. This definition makes no claim that a system has such a shock, or that a Riemann or Cauchy problem has a solution or a unique solution.

Depends on

Dependency tree · 2 levels

Sources