Alphabeta Math
CounterexampleConstruction: 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.

A prescribed column can miss the dominant direction

Statement refuted

For every real matrix A∈Rm×n with m≥n≥2, every integer 1≤k<n, and every prescribed ordered list J of k distinct valid column indices, there is a matrix T∈Rk×n with T(:,J)=Ik, max⁡i,j∣Tij∣≤1, and ∥A−A(:,J)T∥2≤1+k(n−k) σk+1(A), where ∥⋅∥2 is the Euclidean operator norm and σj(A) is the jth singular value.

Facts & Assumptions

Given: The claimed universal bound above.

[A1]

Consider A=[10001], k=1, and the prescribed index set J=(2).

Given: The matrix, rank parameter, and prescribed selected column in [A1].

Counterexample

1.1givenA1algebra

Any 1×2 matrix satisfying T(:,J)=1 has the form T=(t,1). The coefficient condition gives ∣t∣≤1, and direct multiplication gives A−A(:,J)T=[100−t0]. Its spectral norm is the Euclidean norm of its first column, 100+∣t∣2≥10.

2.1A1step 1.1algebra∎

The singular values of the diagonal matrix in [A1] are 10 and 1, so the proposed upper bound is 1+1⋅(2−1) σ2(A)=2. Since 10>2, no such T satisfies the claim.

Used by

Nothing in the library uses this result yet.

Dependency tree · 0 levels

Nothing. This result depends on no other item in the library.