added problem 5 to pset 3
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@ -134,12 +134,30 @@
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"@show svdvals(S)[1:6]"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b9415ba3",
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"metadata": {},
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"source": [
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"## Problem 5 (6 points)\n",
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"\n",
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"Suppose that $X$ is a random $m \\times n$ matrix (drawn from some probability distribution) and its mean (expectation value) is $E[X] = X_0$.\n",
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"\n",
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"Derive the following identity for the variance (which we used in class):\n",
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"\n",
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"$$\n",
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"E[\\Vert X - X_0 \\Vert_F^2] = E[\\Vert X \\Vert_F^2] - \\Vert X_0 \\Vert_F^2\n",
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"$$\n",
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"\n",
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"(If you just write out the Frobenius norm definition $\\Vert A \\Vert_F^2 = \\text{tr}[A^T A]$, the problem should be very straightforward. Remember that the expectation value is conceptually just a sum, so it can be moved inside any linear operation like the trace.)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "88ab5b5e",
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"metadata": {},
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"source": [
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"## Problems 5, 6, etc: coming soon"
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"## Problems 6, etc: coming soon"
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]
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},
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{
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