Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicableverified 2026-09-26 (gpt-6-sol)
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.

Row swaps, arbitrary row scalings and row additions over a commutative ring, with reversible elementary cases distinguished

Definition

For a matrix over a commutative ring R, a row transformation is one of: interchanging two rows; multiplying one row by any scalar c∈R; or adding c times one row to a distinct row.

A swap is reversible, as is row addition with reverse coefficient −c. Scaling by a unit is reversible, with inverse scaling by its reciprocal. For matrices with at least one column and a selected row, the scaling map on the full matrix space is reversible only when c is a unit. For matrices with no columns, every scaling map is the identity, even when c is a nonunit.

The designated ring-level elementary row equivalences are swaps, row additions, and scalings by units. When R is a field, these are exactly the elementary row operations of Elementary row operations and row equivalence for finite matrices over a field, since every nonzero scalar is a unit. Scaling by a nonunit, including possibly 0, remains a row transformation but is not designated an elementary row equivalence, including in the zero-column case.

Depends on

Dependency tree · 2 levels

Sources