In Hessian-matrix sign test, why the proof (links are in bellow) is always based on the eigenvectors? The study of the variation of a function $f(x,y)$ around the critical point can take any direction! Interpretation of eigenvectors of Hessian in context of local min/max/saddle? Eigenvectors and eigenvalues of Hessian matrix
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