Chapter 3: Problem 36
Show that if a matrix \(U\) is in row echelon form, then the nonzero row vectors of \(U\) form a basis for the row space of \(U\).
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Chapter 3: Problem 36
Show that if a matrix \(U\) is in row echelon form, then the nonzero row vectors of \(U\) form a basis for the row space of \(U\).
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Consider the vectors \(\cos (x+\alpha)\) and \(\sin x\) in \(C[-\pi, \pi] .\) For what values of \(\alpha\) will the two vectors be linearly dependent? Give a graphical interpretation of your answer.
Let \([x, 1]\) and \([2 x-1,2 x+1]\) be ordered bases for \(P_{2}\) (a) Find the transition matrix representing the change in coordinates from \([2 x-1,2 x+1]\) to \([x, 1]\) (b) Find the transition matrix representing the change in coordinates from \([x, 1]\) to \\[ [2 x-1,2 x+1] \\]
Given \(\mathbf{x}_{1}=(1,1,1)^{T}\) and \(\mathbf{x}_{2}=(3,-1,4)^{T}:\) (a) Do \(\mathbf{x}_{1}\) and \(\mathbf{x}_{2}\) span \(\mathbb{R}^{3} ?\) Explain. (b) Let \(\mathbf{x}_{3}\) be a third vector in \(\mathbb{R}^{3}\) and \(\operatorname{set} X=\) \(\left(\mathbf{x}_{1}, \mathbf{x}_{2}, \mathbf{x}_{3}\right) .\) What condition \((\mathrm{s})\) would \(X\) have to satisfy in order for \(\mathbf{x}_{1}, \mathbf{x}_{2},\) and \(\mathbf{x}_{3}\) to form a basis for \(\mathbb{R}^{3}\) ? (c) Find a third vector \(\mathbf{x}_{3}\) that will extend the set \(\left\\{\mathbf{x}_{1}, \mathbf{x}_{2}\right\\}\) to a basis for \(\mathbb{R}^{3}\).
Let \(A\) and \(B\) be row-equivalent matrices. (a) Show that the dimension of the column space of \(A\) equals the dimension of the column space of \(B\) (b) Are the column spaces of the two matrices necessarily the same? Justify your answer.
Show that a matrix \(B\) has a left inverse if and only if \(B^{T}\) has a right inverse.
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