Critical Points - Multivariable Calc

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SUMMARY

The discussion focuses on finding and classifying the critical points of the function f(x,y) = (x-y)^2. The first derivatives are calculated as fx = 2(x-y) and fy = -2(x-y), leading to the conclusion that critical points occur along the line y = x. To classify these points, the Hessian matrix must be evaluated by substituting y = x into it to determine the nature of the extrema.

PREREQUISITES
  • Understanding of multivariable calculus concepts, specifically critical points.
  • Familiarity with first and second derivatives in multivariable functions.
  • Knowledge of the Hessian matrix and its role in classifying extrema.
  • Ability to solve equations involving multiple variables.
NEXT STEPS
  • Study the properties of the Hessian matrix in detail.
  • Learn how to classify critical points using the second derivative test.
  • Explore examples of critical point classification in multivariable functions.
  • Investigate the implications of critical points in optimization problems.
USEFUL FOR

Students and professionals in mathematics, particularly those studying multivariable calculus, as well as anyone interested in optimization techniques and critical point analysis.

Mona1990
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Hi, i was wondering if someone could please help to find and classify the critical points of :
f(x,y) = (x-y)^2

What i know:
I got fx = 2(x-y) and fy = -2(x-y)
and in order to find the critical points we need to solve:

2(x-y) =0
-2(x-y) = 0

so if x =y then the above hold.

where would I go on from here on?

thanks!
 
Last edited:
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Basically anything that runs along the line y=x would contain your critical points. Plug y=x into the hessian matrix and then determine what kind of extrema it is.
 
Alright! thanks a lot :D
 

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