Question: The basic definition of matrix multiplication A B tells us to multiply rows of A times columns of B. Remarkably, if you suitably interpret the

The basic definition of matrix multiplication A B tells us to multiply rows of A times columns of B. Remarkably, if you suitably interpret the operation, you can also compute A B by multiplying columns of A times rows of B! Suppose A is an m x n matrix with columns C1,... , cn. Suppose B is an n × p matrix with rows r1... , rn. Then we claim that
AB = c1r1+c2r2 +------+cnrn. (1.14)
where each summand is a matrix of size m × p.
(a) Verify the particular case
The basic definition of matrix multiplication A B tells us
The basic definition of matrix multiplication A B tells us

does agree with the usual method for computing the matrix product.
(b) Use this method to compute the matrix products
(i)

The basic definition of matrix multiplication A B tells us

(ii)

The basic definition of matrix multiplication A B tells us

(iii)

The basic definition of matrix multiplication A B tells us

and verify that you get the same answer as the traditional method.
(c) Explain why (1.13) is a special case of (1.14).
(d) Prove that (1.14) gives the correct formula for the matrix product.

120 -1 34 2 0 lo --()a 1 4 23 003)3) 8 12 32)(1 30 ) 0 501 231 0 1 1 -1 23 4

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