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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.

Compatible matrix evolution and time stepping — Examples

1 · Prerequisites

2 · Summary

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

None yet.

5 · Examples, experiments and counterexamples

CounterexampleConstruction: AI-adaptedVerification: AI-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)Open item page →

Explicit Euler grows a free oscillator

Physical scope

Pure mathematics; no physical premise.

Statement refuted

For every finite compatible matrix system with S=0 and j=0, the forward Euler step, defined by e1=e0+he˙(t0) and b1=b0+hb˙(t0) for h>0, preserves the system energy for every initial state.

Statement refuted references

Facts & Assumptions

Given: The one-dimensional data Me=Mb=C=[1], S=0, D=G=[0], zero forcing, a step size h>0, and initial scalars e0,b0 not both zero.

[F1]

The finite compatible matrix system obeys Mee˙=CTMbb−Se−j and b˙=−Ce, with energy W=12(eTMee+bTMbb) (Finite compatible matrix system).

Counterexample

1.1givenF1algebra

The data satisfy the defining matrix assumptions: Me,Mb are positive definite, S is positive semidefinite, and DC=CG=0. With j=0, [F1] reduces to e˙=b and b˙=−e.

2.1givenstep 1.1algebra

The forward Euler rule in the refuted statement therefore gives e1=e0+hb0 and b1=b0−he0.

3.1givenstep 2.1F1algebra∎

Expanding gives W(e1,b1)=12((e0+hb0)2+(b0−he0)2)=(1+h2)12(e02+b02)=(1+h2)W(e0,b0). Because h>0 and the initial pair is nonzero, W(e0,b0)>0 and 1+h2>1, so the step strictly increases energy. This refutes the universal preservation claim.

CounterexampleConstruction: AI-adaptedVerification: AI-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)Open item page →

CFL endpoint can have linear growth

Physical scope

Pure mathematics; no physical premise.

Statement refuted

For the staggered leapfrog algorithm, replacing the strict condition h∥K∥2<2 by h∥K∥2≤2 guarantees a constant C<∞, independent of the finite horizon N and initial data, such that max⁡0≤n≤N∥(en,bn−1/2)∥2≤C∥(e0,b−1/2)∥2, where the pair norm is Euclidean on Rne+nb.

Facts & Assumptions

Given: ne=nb=1, Me=Mb=C=[1], S=0, D=G=[0], h=2, zero forcing, and an arbitrary finite horizon N≥0.

[F1]

The staggered algorithm updates bn+1/2=bn−1/2−hCen and en+1=en+hMe−1CTMbbn+1/2 (Staggered compatible leapfrog).

[F2]

The matrix in the strict CFL condition is K=Mb1/2CMe−1/2 and ∥K∥2 is its induced Euclidean operator norm (CFL energy stability and finite termination).

Counterexample

1.1givenF2algebra

These one-dimensional data satisfy the matrix assumptions of the algorithm. Their positive mass roots equal 1, so [F2] gives K=[1] and h∥K∥2=2, exactly the endpoint in the refuted extension.

2.1givenF1step 1.1algebra

Write zn:=(en,bn−1/2)T. By [F1], zn+1=Azn with A=(−32−21). Set J:=A+I=(−22−22). Direct multiplication gives J≠0 and J2=0, so A=−(I−J) and the binomial formula yields An=(−1)n(I−nJ) for every integer n≥0.

3.1givenstep 2.1algebra∎

For the nonzero initial state z0=(1,0)T, one has Jz0=(−2,−2)T≠0. The reverse triangle inequality therefore gives ∥zn∥2=∥z0−nJz0∥2≥n∥Jz0∥2−∥z0∥2=22 n−1. These outputs occur in the algorithm for each finite horizon N≥n and their norm ratio to ∥z0∥2 is unbounded as n grows. No constant C independent of N can satisfy the refuted estimate.

Sources