Chapter 4: Problem 13
Show that if \(A\) is similar to \(B\) and \(A\) is nonsingular then \(B\) must also be nonsingular and \(A^{-1}\) and \(B^{-1}\) are similar.
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Chapter 4: Problem 13
Show that if \(A\) is similar to \(B\) and \(A\) is nonsingular then \(B\) must also be nonsingular and \(A^{-1}\) and \(B^{-1}\) are similar.
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Let \(S\) be the subspace of \(C[a, b]\) spanned by \(e^{x}\) \(x e^{x},\) and \(x^{2} e^{x} .\) Let \(D\) be the differentiation operator of \(S .\) Find the matrix representing \(D\) with respect to \(\left[e^{x}, x e^{x}, x^{2} e^{x}\right]\)
Let \(\mathbf{y}_{1}, \mathbf{y}_{2},\) and \(\mathbf{y}_{3}\) be defined as in Exercise \(7,\) and let \(L\) be the linear operator on \(\mathbb{R}^{3}\) defined by \(L\left(c_{1} \mathbf{y}_{1}+c_{2} \mathbf{y}_{2}+c_{3} \mathbf{y}_{3}\right)\) \(=\left(c_{1}+c_{2}+c_{3}\right) \mathbf{y}_{1}+\left(2 c_{1}+c_{3}\right) \mathbf{y}_{2}-\left(2 c_{2}+c_{3}\right) \mathbf{y}_{3}\) (a) Find a matrix representing \(L\) with respect to the ordered basis \(\left\\{\mathbf{y}_{1}, \mathbf{y}_{2}, \mathbf{y}_{3}\right\\}\) (b) For each of the following, write the vector \(\mathbf{x}\) as a linear combination of \(\mathbf{y}_{1}, \mathbf{y}_{2},\) and \(\mathbf{y}_{3}\) and use the matrix from part (a) to determine \(L(\mathbf{x})\) (i) \(\mathbf{x}=(7,5,2)^{T}\) (ii) \(\quad \mathbf{x}=(3,2,1)^{T}\) (iii) \(\mathbf{x}=(1,2,3)^{T}\)
For each of the following linear transformations \(L\) mapping \(\mathbb{R}^{3}\) into \(\mathbb{R}^{2},\) find a matrix \(A\) such that \(L(\mathbf{x})=A \mathbf{x}\) for every \(\mathbf{x}\) in \(\mathbb{R}^{3}:\) (a) \(L\left(\left(x_{1}, x_{2}, x_{3}\right)^{T}\right)=\left(x_{1}+x_{2}, 0\right)^{T}\) (b) \(L\left(\left(x_{1}, x_{2}, x_{3}\right)^{T}\right)=\left(x_{1}, x_{2}\right)^{T}\) (c) \(L\left(\left(x_{1}, x_{2}, x_{3}\right)^{T}\right)=\left(x_{2}-x_{1}, x_{3}-x_{2}\right)^{T}\)
Let \(V\) and \(W\) be vector spaces with ordered bases \(E\) and \(F,\) respectively. If \(L: V \rightarrow W\) is a linear transformation and \(A\) is the matrix representing \(L\) relative to \(E\) and \(F,\) show that (a) \(\mathbf{v} \in \operatorname{ker}(L)\) if and only if \([\mathbf{v}]_{E} \in N(A)\) (b) \(\mathbf{w} \in L(V)\) if and only if \([\mathbf{w}]_{F}\) is in the column space of \(A\)
Let \(A\) and \(B\) be similar matrices and let \(\lambda\) be any scalar. Show that (a) \(A-\lambda I\) and \(B-\lambda I\) are similar (b) \(\operatorname{det}(A-\lambda I)=\operatorname{det}(B-\lambda I)\)
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