Writes zero matrices and negatives as scalar multiples by 0 and -1 and differences as sums with negatives, and applies the scalar and distributive rules for products.
Computations with real numbers are those of The Real Numbers as a Type. The rules of Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes are used with sizes suited to each product. The zero matrices are the constant maps of Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations (v), the origins those of Euclidean Space : n-Tuples of Real Numbers with Their Componentwise Operations (v), and the negatives the pointwise negatives of Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations (iv) and Euclidean Space : n-Tuples of Real Numbers with Their Componentwise Operations (iv); so, by Rules for Pointwise Operations on Real-Valued Maps: a Commutative Ring, Scalar Multiples and Evaluation (iv), and for every real matrix or vector .
Proof of (i). By Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (iii),
By Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (v), and .
Proof of (ii). By Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (iii) with for ,
and by Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (v), and .
Proof of (iii). For real matrices of the same size, : by Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations (iv), both have the entry in row and column , so they are equal by Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations (iii); likewise for in a Euclidean space, by Euclidean Space : n-Tuples of Real Numbers with Their Componentwise Operations (iv) and Euclidean Space : n-Tuples of Real Numbers with Their Componentwise Operations (iii). Hence, by Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (ii) and (ii),
The identity is part of Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (v); and by Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (v) together with (ii),
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