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 invertible square matrix over a commutative ring has unit determinant
Statement
Let . If is invertible over a commutative ring, then is a unit of . More precisely, is its inverse.
Facts & Assumptions
Given: An invertible matrix with inverse .
Determinants multiply: (For same-sized finite square matrices over a commutative ring, ).
A unit is an element with a two-sided multiplicative inverse, and its inverse is unique (The units of a ring are the invertible elements of its multiplicative monoid, and is a group under multiplication; only in the zero ring).
Identity matrices are multiplicative identities (Matrix arithmetic over a commutative ring is associative, unital and distributive, and transpose reverses products).
Matrix invertibility gives (Invertible square matrices and similarity over a commutative ring).
The determinant is normalized: (The Leibniz determinant is column-multilinear, alternating and normalized over every commutative ring).
Proof
Apply [L1] to the two equations in [L4]: and .
Thus is a unit with inverse by [L2]. In the zero ring, and the same two-sided equation still gives the unit conclusion.
Depends on
Invertible square matrices and similarity over a commutative ring
For same-sized finite square matrices over a commutative ring,
The units of a ring are the invertible elements of its multiplicative monoid, and is a group under multiplication; only in the zero ring
Matrix arithmetic over a commutative ring is associative, unital and distributive, and transpose reverses products
The Leibniz determinant is column-multilinear, alternating and normalized over every commutative ring