Chapter 1: Problem 29
Let \(A\) and \(B\) be symmetric \(n \times n\) matrices. Prove that \(A B=B A\) if and only if \(A B\) is also symmetric.
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Chapter 1: Problem 29
Let \(A\) and \(B\) be symmetric \(n \times n\) matrices. Prove that \(A B=B A\) if and only if \(A B\) is also symmetric.
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Let \(A\) and \(B\) be \(n \times n\) matrices. Show that if \\[ A B=A \quad \text { and } \quad B \neq I \\] then \(A\) must be singular.
Let \(A\) be an \(n \times n\) matrix and \(\mathbf{x} \in \mathbb{R}^{n}\) (a) A scalar \(c\) can also be considered as a \(1 \times 1\) \(\operatorname{matrix} C=(c),\) and a vector \(\mathbf{b} \in \mathbb{R}^{n}\) can be considered as an \(n \times 1\) matrix \(B\). Although the matrix multiplication \(C B\) is not defined, show that the matrix product \(B C\) is equal to \(c \mathbf{b},\) the scalar multiplication of \(c\) times \(\mathbf{b}\) (b) Partition \(A\) into columns and \(\mathbf{x}\) into rows and perform the block multiplication of \(A\) times \(\mathbf{x}\). (c) Show that \\[ A \mathbf{x}=x_{1} \mathbf{a}_{1}+x_{2} \mathbf{a}_{2}+\cdots+x_{n} \mathbf{a}_{n} \\]
Let \(U\) be an \(n \times n\) upper triangular matrix with nonzero diagonal entries. (a) Explain why \(U\) must be nonsingular. (b) Explain why \(U^{-1}\) must be upper triangular.
Let \(C\) be a nonsymmetric \(n \times n\) matrix. For each of the following, determine whether the given matrix must be symmetric or could be nonsymmetric: (a) \(A=C+C^{T}\) (b) \(B=C-C^{T}\) (c) \(D=C^{T} C\) (d) \(E=C^{T} C-C C^{T}\) (e) \(F=(I+C)\left(I+C^{T}\right)\) (f) \(G=(I+C)\left(I-C^{T}\right)\)
Let \(A\) be a nonsingular matrix. Show that \(A^{-1}\) is also nonsingular and \(\left(A^{-1}\right)^{-1}=A\).
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