TheoremBase

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.

Proof

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 00 of Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations (v), the origins those of Euclidean Space Rn\mathbb{R}^n: 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 Rn\mathbb{R}^n: 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), 0β‹…M=00\cdot M=0 and (βˆ’1)M=βˆ’M(-1)M=-M for every real matrix or vector MM.

Proof of (i). By Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (iii),

A0qΓ—r=A(0β‹…0qΓ—r)=0β‹…(A0qΓ—r)=0pΓ—r,0rΓ—pA=(0β‹…0rΓ—p)A=0β‹…(0rΓ—pA)=0rΓ—q.A0_{q\times r}=A\bigl(0\cdot0_{q\times r}\bigr)=0\cdot\bigl(A0_{q\times r}\bigr)=0_{p\times r},\qquad 0_{r\times p}A=\bigl(0\cdot0_{r\times p}\bigr)A=0\cdot\bigl(0_{r\times p}A\bigr)=0_{r\times q}.

By Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (v), A0=0A0=0 and 0pΓ—qx=(0β‹…0pΓ—q)x=0β‹…(0pΓ—qx)=00_{p\times q}x=\bigl(0\cdot0_{p\times q}\bigr)x=0\cdot\bigl(0_{p\times q}x\bigr)=0.

Proof of (ii). By Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (iii) with βˆ’1-1 for ss,

(βˆ’A)B=((βˆ’1)A)B=(βˆ’1)(AB)=βˆ’(AB)=(βˆ’1)(AB)=A((βˆ’1)B)=A(βˆ’B),(-A)B=\bigl((-1)A\bigr)B=(-1)(AB)=-(AB)=(-1)(AB)=A\bigl((-1)B\bigr)=A(-B),

and by Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (v), (βˆ’A)x=((βˆ’1)A)x=(βˆ’1)(Ax)=βˆ’(Ax)(-A)x=\bigl((-1)A\bigr)x=(-1)(Ax)=-(Ax) and A(βˆ’x)=A((βˆ’1)x)=(βˆ’1)(Ax)=βˆ’(Ax)A(-x)=A\bigl((-1)x\bigr)=(-1)(Ax)=-(Ax).

Proof of (iii). For real matrices M,NM,N of the same size, Mβˆ’N=M+(βˆ’N)M-N=M+(-N): by Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations (iv), both have the entry Mijβˆ’Nij=Mij+(βˆ’Nij)M_{ij}-N_{ij}=M_{ij}+(-N_{ij}) in row ii and column jj, so they are equal by Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations (iii); likewise uβˆ’v=u+(βˆ’v)u-v=u+(-v) for u,vu,v in a Euclidean space, by Euclidean Space Rn\mathbb{R}^n: n-Tuples of Real Numbers with Their Componentwise Operations (iv) and Euclidean Space Rn\mathbb{R}^n: 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),

A(Bβˆ’Bβ€²)=A(B+(βˆ’Bβ€²))=AB+A(βˆ’Bβ€²)=AB+(βˆ’(ABβ€²))=ABβˆ’ABβ€²,A(B-B')=A\bigl(B+(-B')\bigr)=AB+A(-B')=AB+\bigl(-(AB')\bigr)=AB-AB', (Aβˆ’Aβ€²)B=(A+(βˆ’Aβ€²))B=AB+(βˆ’Aβ€²)B=AB+(βˆ’(Aβ€²B))=ABβˆ’Aβ€²B.(A-A')B=\bigl(A+(-A')\bigr)B=AB+(-A')B=AB+\bigl(-(A'B)\bigr)=AB-A'B .

The identity A(xβˆ’y)=Axβˆ’AyA(x-y)=Ax-Ay 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),

(Aβˆ’Aβ€²)x=(A+(βˆ’Aβ€²))x=Ax+(βˆ’Aβ€²)x=Ax+(βˆ’(Aβ€²x))=Axβˆ’Aβ€²x.(A-A')x=\bigl(A+(-A')\bigr)x=Ax+(-A')x=Ax+\bigl(-(A'x)\bigr)=Ax-A'x .

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