Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedPipeline-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.

An explicitly treated stiff decay mode is unstable for a large step

Example

Take the scalar decay equation y′=−κy with κ>0 and y0=1. Treat the whole stiff term explicitly, so a(y)=−κy and b(y)=0. IMEX Euler gives amplification 1−hκ; for hκ>2 its magnitude exceeds one although the exact solution exp⁡(−κt) decays. If instead this same term is implicit, the amplification is (1+hκ)−1, which lies in (0,1) for every hκ>0. This scalar comparison does not imply matrix stability for nonnormal operators.

Facts & Assumptions

Given: κ>0, h>0, and y0=1.

[F1]

One-step IMEX Euler with an implicit branch and residual status: the exact-step equation is Y=y+ha(y)+hb(Y).

[F2]

The real exponential function and the number e by a power series, The exponential function is smooth and (exp⁡)′=exp⁡, and The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a): exp⁡(x) is differentiable with derivative exp⁡(x), so y(t)=exp⁡(−κt) solves y′=−κy and y(0)=1.

[F4]

Inverses of positives are positive, and reciprocation reverses order: if 0<a<b, then 0<b−1<a−1.

Verification

technique · direct
1.1givenF1F2F3algebra

With a(y)=−κy and b=0, [F1] gives Y=(1−hκ)y, so after N steps the numerical value is (1−hκ)N. If hκ>2, then 1−hκ<−1 and ∣1−hκ∣N>1 for every N≥1. By [F2], y(t)=exp⁡(−κt) is the exact solution, and [F3] gives ∣y(Nh)∣=exp⁡(−κNh)<1.

1.2F1F4algebra

With a=0 and b(y)=−κy, the equation in [F1] becomes (1+hκ)Y=y. Since 0<1<1+hκ, [F4] gives 0<(1+hκ)−1<1. Thus the implicit treatment damps every such scalar step, while the explicit treatment grows whenever hκ>2.

2.1F1algebra∎

At the boundary hκ=2, the explicit amplification is −1, whose magnitude is exactly one. Thus the strict instability condition is hκ>2; equality is neutral for this scalar test equation.

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

31 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