Linear Algebra and Quadratic Forms

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SUMMARY

The discussion focuses on the quadratic form x² - 2xy + 2yz + z² and its analysis through linear algebra techniques. A symmetric matrix corresponding to this quadratic form is identified, and the eigenvalues are determined to be 2, 1, and -1. This indicates that the critical point at the origin is neither a maximum nor a minimum. The discussion concludes with the realization that the maximum and minimum values on the sphere x² + y² + z² = 1 can be found using the properties of orthonormal matrices.

PREREQUISITES
  • Understanding of quadratic forms and symmetric matrices
  • Knowledge of eigenvalues and eigenvectors
  • Familiarity with orthonormal matrices and their properties
  • Basic concepts of optimization in multivariable calculus
NEXT STEPS
  • Study the derivation of symmetric matrices from quadratic forms
  • Learn about the implications of eigenvalues in optimization problems
  • Explore the method of Lagrange multipliers for constrained optimization
  • Investigate the geometric interpretation of quadratic forms on spheres
USEFUL FOR

Students and professionals in mathematics, particularly those studying linear algebra, optimization techniques, and multivariable calculus. This discussion is especially beneficial for those tackling quadratic forms and their applications in optimization problems.

Wint
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Homework Statement


For the quadratic form x2-2xy+2yz+z2:

a) Find a symmetric matrix that allows the quadratic form to be written as xTAx.
b) Determine if the critical point at the origin is a minimum, maximum, or neither.
c) Find the points for which the quadratic form achieves its minimum and maximum values on the sphere x2+y2+z2=1.

Homework Equations


Unsure, I'm having troubles with part c and I think my notes may be missing something. I have written down here that:

x = Qy (x,y are matrices, Q is an orthonormal matrix) but I'm not sure how to use that. I have written next to it that the maximum is at x=q1 and the minimum is at x=qn where n is the dimension of the matrix and q is the column in Q, but I'm not sure what that means.


The Attempt at a Solution


I have figured out a and b easily enough:
The matrix is
vNvba.gif

The eigenvalues are 2, 1, and -1, which tells me that the critical point at the origin is neither a maximum or a minimum.

Which brings us to part c. Really I'm just trying to find anything that explains further how we find these maximum and minimum values, and any guidance would be much appreciated.
 
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Nevermind, I found the section in my book that discusses this, and I've figured it out. Seems like that usually happens right after I ask the question.
 

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