Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-08-11
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Matrix arithmetic over a commutative ring is associative, unital and distributive, and transpose reverses products

Statement

For matrices over a commutative ring, whenever the shapes are compatible, A(BC)=(AB)C,ImA=A=AIn, A(B+C)=AB+AC,(A+B)C=AC+BC, and (AB)T=BTAT,(AT)T=A. The corresponding entrywise additive and scalar laws also hold, including all zero-sized shapes.

Facts & Assumptions

Given: A commutative ring R and matrices of compatible finite shapes over R.

[L1]

Matrix addition, multiplication, identity and transpose are given by their entrywise finite-sum formulas (Entrywise ring-matrix operations, rectangular matrix products, identity matrices and transpose).

[L2]

Finite sums in a commutative monoid may be reindexed and finite double sums may be taken in either order (Finite commutative-monoid sums are invariant under bijective reindexing, split over disjoint unions, and satisfy the finite Fubini rule).

Proof

technique · direct
1.1

Entrywise ring addition gives its abelian-group laws. Substitution in the product formula gives ImA=A=AIn and both distributive laws, since all off-diagonal identity terms are zero and the diagonal term is one.

L1L3algebra
2.1

For compatible A,B,C, the (i,ℓ) entry of (AB)C is ∑k(∑jaijbjk)ckℓ, while that of A(BC) is ∑jaij(∑kbjkckℓ). Distributivity and finite-sum Fubini turn both into ∑j,kaijbjkckℓ.

step 1.1L2L3algebra
3.1

The (k,i) entry of (AB)T is ∑jaijbjk=∑jbjkaij, the (k,i) entry of BTAT; transposing twice restores each entry. Empty sums are zero, so every argument also covers zero-sized shapes.

step 2.1L1L2algebra∎

Depends on

Used by

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Sources