Alphabeta Math
ExampleConstruction: AI-adaptedVerification: AI-adaptedPipeline-generatedprecheck passaudited 2026-08-29
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.

Two 2x2 systems can have dramatically different condition numbers

Example

The diagonal system A1=diag⁡(1,4) is well conditioned, while the nearly singular system

A2=(1111+ε),ε=1100,

is already severely ill conditioned, even though both matrices have the same 2×2 shape and entries of the same order.

Facts & Assumptions

Given: The matrices A1=diag⁡(1,4) and A2=(1111+ε) with ε=1/100>0.

[L1]

κp(A)=∥A∥p∥A−1∥p for p∈{1,∞} (The condition number kappa_p(A) = ||A||_p ||A^{-1}||_p of a nonsingular linear system).

[L2]

The induced 1-norm is the maximum column sum and the induced ∞-norm the maximum row sum (The induced 1-norm is the maximum column sum and the induced infinity-norm is the maximum row sum).

[L3]

For a nonsingular 2×2 matrix M=(abcd), M−1=(ad−bc)−1(d−b−ca).

Verification

technique · direct
1.1L2algebra

For A1, the column sums and row sums are {1,4}, so [L2] gives ∥A1∥1=∥A1∥∞=4; its inverse is diag⁡(1,1/4), with column and row sums {1,1/4}, so ∥A1−1∥1=∥A1−1∥∞=1.

1.2L2algebra

For A2, the column sums are {2,2+ε} and the row sums {2,2+ε}, so [L2] gives ∥A2∥1=∥A2∥∞=2+ε.

1.3L2L3algebra

By [L3], A2−1=ε−1(1+ε−1−11), whose column sums and row sums are both {(2+ε)/ε, 2/ε}, the first being larger; so [L2] gives ∥A2−1∥1=∥A2−1∥∞=(2+ε)/ε.

2.1L1step 1.1algebra

By [L1] and step 1.1, κ1(A1)=κ∞(A1)=4⋅1=4: for every right-hand side b≠0 a relative perturbation of b changes the solution by at most four times as much.

2.2L1step 1.2step 1.3algebra

By [L1], κ1(A2)=κ∞(A2)=(2+ε)2/ε, and at ε=1/100 this is (201/100)2⋅100=2012/100=40401/100.

3.1step 2.1step 2.2∎

The two systems of the same shape therefore have condition numbers 4 and 40401/100≈404: the nearly singular one amplifies relative data perturbations about a hundred times more, and the contrast comes from the small determinant ε, not from large entries.

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

8 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