Chapter 5: Problem 60
Suppose \(F: V \rightarrow U\) is linear. Show that \(F(-v)=-F(v)\)
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Chapter 5: Problem 60
Suppose \(F: V \rightarrow U\) is linear. Show that \(F(-v)=-F(v)\)
These are the key concepts you need to understand to accurately answer the question.
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Suppose that \(F: V \rightarrow U\) is linear and that \(V\) is of finite dimension. Show that \(V\) and the image of \(F\) have the same dimension if and only if \(F\) is nonsingular. Determine all nonsingular linear mappings \(T: \mathbf{R}^{4} \rightarrow \mathbf{R}^{3}\).
Suppose \(F: V \rightarrow U\) is linear. Show that (a) the image of any subspace of \(V\) is a subspace of \(U\); (b) the preimage of any subspace of \(U\) is a subspace of \(V\).
Prove Theorem 5.11. Suppose \(\operatorname{dim} V=m\) and \(\operatorname{dim} U=n .\) Then \(\operatorname{dim}[\operatorname{Hom}(V, U)]=m n\). Suppose \(\left\\{v_{1}, \ldots, v_{m}\right\\}\) is a basis of \(V\) and \(\left\\{u_{1}, \ldots, u_{n}\right\\}\) is a basis of \(U .\) By Theorem \(5.2\), a linear mapping in Hom \((V, U)\) is uniquely determined by arbitrarily assigning elements of \(U\) to the basis elements \(v_{i}\) of \(V\). We define $$ F_{i j} \in \operatorname{Hom}(V, U), \quad i=1, \ldots, m, \quad j=1, \ldots, n $$ o be the linear mapping for which \(F_{i j}\left(v_{i}\right)=u_{j}\), and \(F_{i j}\left(v_{k}\right)=0\) for \(k \neq i\). That is, \(F_{i j}\) maps \(v_{i}\) into \(u_{j}\) and the ther \(v\) 's into 0 . Observe that \(\left\\{F_{i j}\right\\}\) contains exactly \(m n\) elements; hence, the theorem is proved if we show hat it is a basis of \(\operatorname{Hom}(V, U)\). Proof that \(\left\\{F_{i j}\right\\}\) generates \(\operatorname{Hom}(V, U) .\) Consider an arbitrary function \(F \in \operatorname{Hom}(V, U) .\) Suppose $$ w_{k}=a_{k 1} u_{1}+a_{k 2} u_{2}+\cdots+a_{k n} u_{n}, \quad k=1, \ldots, m, \quad a_{i j} \in K $$ Consider the linear mapping \(G=\sum_{i=1}^{m} \sum_{j=1}^{n} a_{i j} F_{i j} .\) Because \(G\) is a linear combination of the \(F_{i j}\), the proof that \(\left\\{F_{i j}\right\\}\) generates \(\operatorname{Hom}(V, U)\) is complete if we show that \(F=G\). We now compute \(G\left(v_{k}\right) ; k=1, \ldots, m .\) Because \(F_{i j}\left(v_{k}\right)=0\) for \(k \neq i\) and \(F_{k i}\left(v_{k}\right)=u_{i}\), $$ \begin{aligned} G\left(v_{k}\right) &=\sum_{i=1}^{m} \sum_{j=1}^{n} a_{i j} F_{i j}\left(v_{k}\right)=\sum_{j=1}^{n} a_{k j} F_{k j}\left(v_{k}\right)=\sum_{j=1}^{n} a_{k j} u_{j} \\ &=a_{k 1} u_{1}+a_{k 2} u_{2}+\cdots+a_{k n} u_{n} \end{aligned} $$ Thus, by \((1), G\left(v_{k}\right)=w_{k}\) for each \(k .\) But \(F\left(v_{k}\right)=w_{k}\) for each \(k .\) Accordingly, by Theorem \(5.2, F=G\); hence, \(\left\\{F_{i j}\right\\}\) generates \(\operatorname{Hom}(V, U)\). Proof that \(\left\\{F_{i j}\right\\}\) is linearly independent. Suppose, for scalars \(c_{i j} \in K\), $$ \sum_{i=1}^{m} \sum_{j=1}^{n} c_{i j} F_{i j}=0 $$ For \(v_{k}, k=1, \ldots, m\) $$ \begin{aligned} 0=\mathbf{0}\left(v_{k}\right) &=\sum_{i=1}^{m} \sum_{j=1}^{n} c_{i j} F_{i j}\left(v_{k}\right)=\sum_{j=1}^{n} c_{k j} F_{k j}\left(v_{k}\right)=\sum_{j=1}^{n} c_{k j} u_{j} \\ &=c_{k !} u_{1}+c_{k 2} u_{2}+\cdots+c_{k n} u_{n} \end{aligned} $$ But the \(u_{i}\) are linearly independent; hence, for \(k=1, \ldots, m\), we have \(c_{k 1}=0 ; c_{k 2}=0, \ldots, c_{k n}=0 .\) In other words, all the \(c_{i j}=0\), and so \(\left\\{F_{i j}\right\\}\) is linearly independent.
For each linear map \(G\), find a basis and the dimension of the kernel and the image of \(G\) : (a) \(G: \mathbf{R}^{3} \rightarrow \mathbf{R}^{2}\) defined by \(G(x, y, z)=(x+y+z, 2 x+2 y+2 z)\), (b) \(G: \mathbf{R}^{3} \rightarrow \mathbf{R}^{2}\) defined by \(G(x, y, z)=(x+y, y+z)\), (c) \(G: \mathbf{R}^{5} \rightarrow \mathbf{R}^{3}\) defined by $$ G(x, y, z, s, t)=(x+2 y+2 z+s+t, \quad x+2 y+3 z+2 s-t, \quad 3 x+6 y+8 z+5 s-t) $$
Let \(F: \mathbf{R}^{2} \rightarrow \mathbf{R}^{2}\) be the linear mapping for which \(F(1,2)=(2,3)\) and \(F(0,1)=(1,4) .[\) Note that \\{(1,2),(0,1)\\} is a basis of \(\mathbf{R}^{2},\) so such a linear map \(F\) exists and is unique by Theorem \(5.2 .\) ] Find a formula for \(F ;\) that is, find \(F(a, b)\)
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