Chapter 6: Problem 16
Let \(A\) be a \(2 \times 2\) matrix and let \(p(\lambda)=\lambda^{2}+b \lambda+c\) be the characteristic polynomial of \(A .\) Show that \(b=-\operatorname{tr}(A)\) and \(c=\operatorname{det}(A)\)
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Chapter 6: Problem 16
Let \(A\) be a \(2 \times 2\) matrix and let \(p(\lambda)=\lambda^{2}+b \lambda+c\) be the characteristic polynomial of \(A .\) Show that \(b=-\operatorname{tr}(A)\) and \(c=\operatorname{det}(A)\)
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Let \(A\) be a singular \(n \times n\) matrix. Show that \(A^{T} A\) is positive semidefinite, but not positive definite.
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Show that if \(\sigma\) is a singular value of \(A,\) then there exists a nonzero vector x such that \\[ \sigma=\frac{\|A \mathbf{x}\|_{2}}{\|\mathbf{x}\|_{2}} \\]
Let \(A\) be a \(n \times n\) matrix with Schur decomposition \(U T U^{H} .\) Show that if the diagonal entries of \(T\) are all distinct, then there is an upper triangular matrix \(R\) such that \(X=U R\) diagonalizes \(A\)
Prove that if \(A\) is a symmetric matrix with eigenvalues \(\lambda_{1}, \lambda_{2}, \ldots, \lambda_{n},\) then the singular values of \(A\) are \(\left|\lambda_{1}\right|,\left|\lambda_{2}\right|, \ldots,\left|\lambda_{n}\right|\)
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