True of false about partial derivative

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SUMMARY

The discussion centers on the conditions for identifying saddle points in multivariable calculus, specifically at the critical point (2,1) for the function f. It is established that if the second derivative test condition fxx(2,1)fyy(2,1) < (fxy(2,1))^2 holds, then (2,1) is indeed a saddle point. The participants clarify that the necessary condition for a critical point, namely fx(2,1) = fy(2,1) = 0, is already satisfied, confirming the conclusion about the saddle point.

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  • Understanding of multivariable calculus concepts, particularly critical points.
  • Familiarity with the second derivative test for functions of two variables.
  • Knowledge of partial derivatives and their notation.
  • Ability to analyze the behavior of functions in two dimensions.
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  • Learn how to compute and interpret partial derivatives using tools like Mathematica or MATLAB.
  • Explore examples of saddle points in multivariable functions to solidify understanding.
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Homework Statement


if (2,1) is a critical point of f and fxx(2,1)fyy(2,1) < (fxy(2,1))^2
then f has a saddle point at (2,1)


Homework Equations





The Attempt at a Solution


i think its right
but it turns out to be wrong
can someone tell me why?
 
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wouldn't it need fx(2,1) = fy(2,1) = 0 as well?
 
lanedance said:
wouldn't it need fx(2,1) = fy(2,1) = 0 as well?

could you please explain it a little bit more?
 
ok now i see it is already a critical point, i would agree with you then
 

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