Alphabeta Math
ExampleConstruction: Literature-sourcedVerification: AI-adaptedPipeline-generatedprecheck passjudge 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.

Lax–Friedrichs flux under the invariant-interval CFL bound

Example

Assume ACω, and additionally assume Dependent Choice DC when u0∈L1(R).

Let I=[a−,a+] be a compact invariant interval, let f∈C1(R), and choose finite L,α with ∣f′(s)∣≤L on I and α≥L. The Lax–Friedrichs flux FLF(a,b):=f(a)+f(b)2−α2(b−a) is consistent, nondecreasing in a, nonincreasing in b, and has coordinate Lipschitz bounds L1=L2=(L+α)/2. Thus any bounded BV datum in I and mesh family satisfying τmhm(L+α)≤1,τmhm≥c∗>0,hm,τm→0 falls under Strong entropy convergence of monotone finite-volume schemes.

Facts & Assumptions

Given: Countable Choice ACω, the compact interval I, f∈C1, constants L,α with ∣f′∣≤L≤α on I, bounded BV data u0 in I, and the displayed numerical flux; additionally assume Dependent Choice DC when u0∈L1(R).

[F1]

A continuous real-valued function on a compact interval is bounded, so a finite L exists for ∣f′∣ on I (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value).

[F2]

If f is continuous on [a,b] and differentiable on (a,b), then f(b)−f(a)=f′(c)(b−a) for some c∈(a,b) (The mean value theorem, as the case g(x)=x of Cauchy's: for f continuous on [a,b] with a<b and differentiable on (a,b) there is c∈(a,b) with f(b)−f(a)=f′(c)(b−a)).

[F3]

The full invariant-interval CFL condition uses the sum of coordinate Lipschitz bounds, and under ACω—with DC additionally on the L1 branch—the convergence theorem requires a positive lower bound for τ/h (Monotone finite-volume scheme and invariant-interval CFL, The Axiom of Countable Choice (ACω), The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain, Strong entropy convergence of monotone finite-volume schemes).

[F4]

u0∈BVb(R) is bounded and has finite translation variation (Bounded BV data on the real line).

Verification

1.1F1F2givenalgebra

On the diagonal, FLF(s,s)=f(s), so the flux is consistent. If a2=a1, the first-coordinate difference is zero; if a2>a1, the mean-value theorem gives FLF(a2,b)−FLF(a1,b)=f(a2)−f(a1)+α(a2−a1)2≥α−L2(a2−a1)≥0. Thus it is nondecreasing in its first coordinate.

1.2F1F2givenalgebra

If b2=b1, the second-coordinate difference is zero; if b2>b1, the mean-value theorem gives FLF(a,b2)−FLF(a,b1)=f(b2)−f(b1)−α(b2−b1)2≤−α−L2(b2−b1)≤0, so it is nonincreasing in its second coordinate. The mean-value bounds on each variable also give L1=L2=(L+α)/2.

2.1F1F2F3F4step 1.1step 1.2algebra∎

Since f is locally Lipschitz and the flux adds a linear term, FLF is locally Lipschitz. The displayed flux is consistent by its diagonal formula, and steps 1.1 and 1.2 prove monotonicity with coordinate bounds whose sum is L+α. Hence the displayed upper ratio gives the full CFL condition, while the lower ratio and bounded BV data satisfy the remaining hypotheses of [F3]. The convergence theorem applies.

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

58 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