Understanding Local Extrema with Two Variables and Partial Derivatives

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To find and classify local extrema of the function f(x,y)=-x^2-y^2-10xy+4y-4x+2, the partial derivatives f_x and f_y are calculated as -2x-10y-4 and -2y-10x+4, respectively. Setting these derivatives to zero creates a system of equations that leads to stationary points. The equations can be combined to find specific solutions, ultimately revealing the stationary point (1/2, -1/2). However, further analysis shows that this point does not qualify as an extremum. Understanding the distinction between stationary points and extrema is crucial in multivariable calculus.
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we're doing partial derivatives, and i thought i understood them until:

f(x,y)=-x^2-y^2-10xy+4y-4x+2

we are meant to find and classify all local extrema. i got:

f_x=-2x-10y-4 and f_y=-2y-10x+4

i've never had two variables at this stage, and i can't solve for any of the points. the text doesn't seem to say anything about this...
 
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You solve \nabla f = \vec0 (gradient of f) which basically gives you a system of 2 equations here. The solutions are the 'stationary points' which may be extrema, but you have to check that (e.g. with a test)

So you solve:

\left\{ \begin{gathered}<br /> \frac{{\delta f}}<br /> {{\delta x}} = 0 \hfill \\<br /> \frac{{\delta f}}<br /> {{\delta y}} = 0 \hfill \\ <br /> \end{gathered} \right.
 
mm, i get: 10y=-2x-4 and 10x=-2y+4 for each of which there are infinite solutions for x and y. i thought that if i combined the equations (no reason) it might do it, but i still got y=x-1
 
Yes, you have to combine them in a system.

\left\{ \begin{gathered}<br /> 2x + 10y + 4 = 0 \hfill \\<br /> 10x + 2y - 4 = 0 \hfill \\ <br /> \end{gathered} \right.

Solving it should give \left( {\frac{1}<br /> {2}, - \frac{1}<br /> {2}} \right)

However, although it's a stationary point, it's not an extremum.
 
aha! thanks, i get it now
 
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