Understanding Hessian for multidimensional function

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SUMMARY

The discussion centers on the visualization of the multidimensional function f(u, v) = e^{−cu} sin(u) sin(v) and the properties of its Hessian matrix. Participants explore the concept of the Hessian's trace, noting that both positive and negative traces can occur at maxima and minima. The conversation highlights the importance of understanding the Hessian's expression and its relationship to the Laplacian. Clarifications on terminology, such as maxima and minima, are also provided.

PREREQUISITES
  • Understanding of multidimensional calculus
  • Familiarity with Hessian matrices
  • Knowledge of function visualization techniques
  • Basic concepts of maxima and minima in calculus
NEXT STEPS
  • Study the properties of Hessian matrices in detail
  • Learn how to compute the trace of a Hessian matrix
  • Explore visualization techniques for multidimensional functions
  • Investigate the relationship between Hessians and Laplacians
USEFUL FOR

Mathematicians, data scientists, and anyone involved in optimization and visualization of multidimensional functions will benefit from this discussion.

SaschaSIGI
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Hello everybody,

I have a question regarding this visualization of a multidimensional function. Given f(u, v) = e^{−cu} sin(u) sin(v). Im confused why the maximas/minimas have half positive Trace and half negative Trace. I thought because its maxima it only has to be negative. 3D vis

2D visualization
 

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Hi,

You have me wondering what I am looking at. Is the Hessian projected as a color code on a plot of the function ?
Did it occur to you to write down the Hessian for this function ? So: what's the expression for the trace of the Hessian ? (*)

What do you mean with
SaschaSIGI said:
because its maxima it only has to be negative

Aren't there minima between the maxima ?

(by the way: single: minimum, maximum. Plural: minima, maxima)

(*) Notice the similarity with the Laplacian :smile: ?

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