Critical points (x-1)^4 (x-y)^4

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SUMMARY

The critical points of the function f(x,y) = (x-1)^4 + (x-y)^4 are determined by setting the first partial derivatives to zero. The calculations yield a critical point at (1, 1). Although the second derivative test is inconclusive due to all second derivatives being zero, the function is strictly convex, confirming that the critical point is a global minimum. The discussion emphasizes the importance of strict inequalities in the second-order conditions for determining the nature of critical points.

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TRoad
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Homework Statement



Find critical points. f(x,y) = (x-1)^4 + (x-y)^4


The Attempt at a Solution



\frac{\partial f}{\partial x} = 4(x-1)^3 + 4(x-y)^3

\frac{\partial f}{\partial y} = - 4(x-y)^3


\frac{\partial f}{\partial x} = 0,

\frac{\partial f}{\partial y} = 0,

- 4(x-y)^3 = 0, x=y

4(y-1)^3 + 4(y-y)^3 = 0,


We have a critical point at: y=1,x=1

So as the both part of the function ( (x-1)^4 and (x-y)^4 ) will always be grater or equeal 0, and the critical point gives us 0, then I guess it's a min, no?

So if I'm not wrong, then why is inconclusive the second derivative text AC-B^2=0

A=Fxx, C=Fyy, B=Fxy

Thanks!
 
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TRoad said:

Homework Statement



Find critical points. f(x,y) = (x-1)^4 + (x-y)^4


The Attempt at a Solution



\frac{\partial f}{\partial x} = 4(x-1)^3 + 4(x-y)^3

\frac{\partial f}{\partial y} = - 4(x-y)^3


\frac{\partial f}{\partial x} = 0,

\frac{\partial f}{\partial y} = 0,

- 4(x-y)^3 = 0, x=y

4(y-1)^3 + 4(y-y)^3 = 0,


We have a critical point at: y=1,x=1

So as the both part of the function ( (x-1)^4 and (x-y)^4 ) will always be grater or equeal 0, and the critical point gives us 0, then I guess it's a min, no?

So if I'm not wrong, then why is inconclusive the second derivative text AC-B^2=0

A=Fxx, C=Fyy, B=Fxy

Thanks!

The second derivatives are all zero at the stationary point, so second-order conditions give no information. However, the function f(x,y) is strictly convex, so any stationary point must be a global min.

BTW: having second-order things = 0 does not guarantee minimality: the *sufficient* second-order conditions need a strict inequality ">0". Another way to see this is to note that g(x,y) = -f(x,y) also has all second derivatives = 0, but for it the stationary point is a maximum!
 
Understood! Thanks :)
 

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