Critical Point Classification: Inconclusive Hessian

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SUMMARY

The discussion focuses on the classification of critical points when the Hessian determinant equals zero, indicating inconclusiveness. Specifically, when det(H) = 0 and the Hessian matrix H has both positive and negative eigenvalues, the critical point is identified as a saddle point. The conversation highlights the challenges of classifying degenerate critical points and suggests that Thom's Splitting Lemma may provide a solution, serving as a parametrized version of the Morse lemma.

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  • Understanding of Hessian matrices and their properties
  • Familiarity with eigenvalues and eigenvectors
  • Knowledge of critical point classification in multivariable calculus
  • Awareness of Thom's Splitting Lemma and Morse lemma
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  • Research the application of Thom's Splitting Lemma in critical point classification
  • Study the properties of degenerate critical points in multivariable functions
  • Explore the implications of eigenvalue signs in Hessian matrices
  • Learn about the Morse lemma and its applications in differential topology
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Mathematicians, particularly those specializing in calculus and differential topology, as well as students and researchers dealing with critical point analysis in multivariable functions.

Gekko
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What is the general approach to take when the Hessian is inconclusive when classifying critical points? ie the determinant = 0?
 
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If det(H) = 0 and H has both positive and negative eigenvalues at x, then x is a saddle point for the function.

If not...then classifying degenerate critical points [det(H) = 0] becomes quite difficult from what I know. Thom's Splitting Lemma might work. It's sort of a parametrized version of the Morse lemma.
http://en.wikipedia.org/wiki/Splitting_lemma_(functions )

In general, I think it's safe to say that degenerate critical points are annoying haha.
 
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