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Fix missing spd-ness in eigenvalue problems
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src/08_Eigenvalue_problems.jl

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@@ -48,7 +48,8 @@ of eigenvalues $λ_i$ and eigenvectors $\mathbf{v}_i$ such that
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Geometrically speaking the eigenvectors provide special directions in space along which forming the matrix-vector-product $\mathbf{A}\mathbf{v}_i$ is particularly simple, namely it just *scales* the vector $\mathbf{v}_i$ by a number.
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But more generally if $\mathbf x$ is an arbitrary vector
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and if for simplicity we assume $\mathbf{A}$ to be symmetric,
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and if for simplicity we assume $\mathbf{A}$ to be symmetric
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and positive-definite,
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then we find
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```math
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\| \mathbf A \mathbf x \| \leq \| \mathbf A \| \, \| \mathbf x \| \leq

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