clarification
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"source": [
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"## Problem 4\n",
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"## Problem 4\n",
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"For an $m \\times m$ real-symmetric matrix $S = S^T$, we know that we have real eigenvalues $\\lambda_1,\\ldots,\\lambda_m$ and can find an orthonormal basis of eigenvectors $Q = \\begin{pmatrix} q_1 & \\cdots & q_m \\end{pmatrix}$. So, we can write any vector $x \\in \\mathbb{R}^m$ as $x = Qc = q_1 c_1 + \\cdots q_m c_m$ for some coefficient $c$.\n",
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"For an $m \\times m$ real-symmetric matrix $S = S^T$, we know that we have real eigenvalues $\\lambda_1 \\ge \\lambda_2 \\ge \\cdots \\ge \\lambda_m$ and can find an orthonormal basis of eigenvectors $Q = \\begin{pmatrix} q_1 & \\cdots & q_m \\end{pmatrix}$. So, we can write any vector $x \\in \\mathbb{R}^m$ as $x = Qc = q_1 c_1 + \\cdots q_m c_m$ for some coefficient $c$.\n",
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"\n",
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"**(a)** Show that $x^T x = c_1^2 + \\cdots + c_m^2$ and $x^T S x = \\lambda_1 c_1^2 + \\cdots + \\lambda_m c_m^2$.\n",
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"**(a)** Show that $x^T x = c_1^2 + \\cdots + c_m^2$ and $x^T S x = \\lambda_1 c_1^2 + \\cdots + \\lambda_m c_m^2$.\n",
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