Chapter 2: Problem 12
Let \(V\) be a finite-dimensional vector space with the ordered basis \(\beta\). Prove that \(\psi(\beta)=\beta^{* *}\), where \(\psi\) is defined in Theorem \(2.26\).
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Chapter 2: Problem 12
Let \(V\) be a finite-dimensional vector space with the ordered basis \(\beta\). Prove that \(\psi(\beta)=\beta^{* *}\), where \(\psi\) is defined in Theorem \(2.26\).
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Let \(V\) and \(W\) be vector spaces, let \(T: V \rightarrow W\) be linear, and let \(\left\\{w_{1}, w_{2}, \ldots, w_{k}\right\\}\) be a linearly independent set of \(k\) vectors from \(\mathbf{R}(\mathbf{T})\). Prove that if $S=\left\\{v_{1}, v_{2}, \ldots, v_{k}\right\\}$ is chosen so that \(\mathrm{T}\left(v_{i}\right)=w_{i}\) for \(i=1,2, \ldots, k\), then \(S\) is linearly independent. Visit goo.g1/kmaQS2 for a solution.
Let \(A\) be invertible. Prove that \(A^{t}\) is invertible and \(\left(A^{t}\right)^{-1}=\left(A^{-1}\right)^{t}\). Visit goo.gl/suFm6V for a solution.
Suppose \(A\) is a square matrix. Show (a) \(A+A^{T}\) is symmetric, (b) \(A-A^{T}\) is skew-symmetric, (c) \(A=B+C,\) where \(B\) is symmetric and \(C\) is skew- symmetric.
Compute \(A B\) using block multiplication, where $$A=\left[\begin{array}{ccc} 1 & 2 & 1 \\ 3 & 4 & 0 \\ 0 & 0 & 2 \end{array}\right] \quad \text { and } \quad B=\left[\begin{array}{cccc} 1 & 2 & 3 & 1 \\ 4 & 5 & 6 & 1 \\ 0 & 0 & 0 & 1 \end{array}\right].$$
Prove Theorem 2.3: \(\quad(i)(A+B)^{T}=A^{T}+B^{T}\)Prove Theorem \(2.3: \quad\) (i) \((A+B)^{T}=A^{T}+B^{T}\), (ii) \(\left(A^{T}\right)^{T}=A\) (iii) \((k A)^{T}=k A^{T}.\)
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