Chapter 5: Problem 11
Prove that the transpose of an orthogonal matrix is an orthogonal matrix.
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Chapter 5: Problem 11
Prove that the transpose of an orthogonal matrix is an orthogonal matrix.
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If \(V\) is an inner product space, show that $$\|\mathbf{v}\|=\sqrt{\langle\mathbf{v}, \mathbf{v}\rangle}$$ satisfies the first two conditions in the definition of a norm.
In \(C[0,1],\) with inner product defined by \((3),\) compute (a) \(\left\langle e^{x}, e^{-x}\right\rangle\) (b) \(\langle x, \sin \pi x\rangle\) (c) \(\left\langle x^{2}, x^{3}\right\rangle\)
Show that if \(\mathbf{u}\) and \(\mathbf{v}\) are any vectors in \(\mathbb{R}^{2},\) then \(\|\mathbf{u}+\mathbf{v}\|^{2} \leq(\|\mathbf{u}\|+\|\mathbf{v}\|)^{2}\) and hence \(\|\mathbf{u}+\mathbf{v}\| \leq\) \(\|\mathbf{u}\|+\|\mathbf{v}\| .\) When does equality hold? Give a geometric interpretation of the inequality.
Let \(U\) and \(V\) be subspaces of a vector space \(W\) Show that if \(W=U \oplus V,\) then \(U \cap V=\\{0\\}\)
Show that, for any \(\mathbf{u}\) and \(\mathbf{v}\) in a normed vector space, $$\|\mathbf{u}+\mathbf{v}\| \geq |\|\mathbf{u}\|-\|\mathbf{v}\|$$
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