Chapter 4: Problem 7
Prove that \(\operatorname{det}\left(A^{t}\right)=\operatorname{det}(A)\) for any \(A \in \mathrm{M}_{2 \times 2}(F)\).
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Chapter 4: Problem 7
Prove that \(\operatorname{det}\left(A^{t}\right)=\operatorname{det}(A)\) for any \(A \in \mathrm{M}_{2 \times 2}(F)\).
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Find the dimension and a basis of the subspace \(W\) of \(\mathbf{M}=\mathbf{M}_{2,3}\) spanned by \\[A=\left[\begin{array}{lll} 1 & 2 & 1 \\ 3 & 1 & 2 \end{array}\right], \quad B=\left[\begin{array}{lll} 2 & 4 & 3 \\ 7 & 5 & 6 \end{array}\right], \quad C=\left[\begin{array}{lll} 1 & 2 & 3 \\ 5 & 7 & 6 \end{array}\right].\\]
Let \(A=\left[a_{i j}\right]\) and \(B=\left[b_{i j}\right]\) be row equivalent \(m \times n\) matrices over a field \(K,\) and let \(v_{1}, \ldots, v_{n}\) be any vectors in a vector space \(V\) over \(K\). Let Show that \(\left\\{u_{i}\right\\}\) and \(\left\\{w_{i}\right\\}\) span the same space.
Prove Theorem 4.21: \(V=U \oplus W\) if and only if (i) \(V=U+W\), (ii) \(U \cap W=\\{0\\}\).
In Exercises 5- 12, evaluate the determinant of the given matrix by cofactor expansion along the indicated row. $$ \left(\begin{array}{rrr} 0 & 1 & 2 \\ -1 & 0 & -3 \\ 2 & 3 & 0 \end{array}\right) $$ along the first row
Answer true or false. If false, prove it with a counterexample. (a) If \(u_{1}, u_{2}, u_{3}\) span \(V,\) then \(\operatorname{dim} V=3\). (b) If \(A\) is a \(4 \times 8\) matrix, then any six columns are linearly dependent. (c) If \(u_{1}, u_{2}, u_{3}\) are linearly independent, then \(u_{1}, u_{2}, u_{3}, w\) are linearly dependent. (d) If \(u_{1}, u_{2}, u_{3}, u_{4}\) are linearly independent, then \(\operatorname{dim} V \geq 4\). (e) If \(u_{1}, u_{2}, u_{3}\) span \(V,\) then \(w, u_{1}, u_{2}, u_{3}\) span \(V\). (f) If \(u_{1}, u_{2}, u_{3}, u_{4}\) are linearly independent, then \(u_{1}, u_{2}, u_{3}\) are linearly independent.
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