Minima of a multivariable function.

Cpt Qwark
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Homework Statement


Find the minimum value of f(x,y)=e^{x+y}-2 within x≥0 and y≥0.

Homework Equations


D=f_{xx}(a,b)f_{yy}(a,b)-[f_{xy}(a,b)]^2
Answer is -1

The Attempt at a Solution


So for all partial derivatives I got e^{x+y} (and mixed), but when I calculate the discriminate (subbing in (0,0) I get D=e⋅e-(e)^2=0.

I was just confused on how the answer is -1 when the discriminate has to be larger then zero to be a minimum point.
 
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Does the function have local extrema? What is the condition that a local extreme exist?
 
Cpt Qwark said:

Homework Statement


Find the minimum value of f(x,y)=e^{x+y}-2 within x≥0 and y≥0.

Homework Equations


D=f_{xx}(a,b)f_{yy}(a,b)-[f_{xy}(a,b)]^2
Answer is -1

The Attempt at a Solution


So for all partial derivatives I got e^{x+y} (and mixed), but when I calculate the discriminate (subbing in (0,0) I get D=e⋅e-(e)^2=0.

I was just confused on how the answer is -1 when the discriminate has to be larger then zero to be a minimum point.

When you have constraints (even simple ones like x,y >= 0) the usual first-and second-order tests must be modified. In other words, you cannot just look at the gradient and Hessian of f(x,y) at the solution point, if that point lies on the boundary. In such a problem the discriminant does NOT have to be > 0.

Anyway, in problems where it applies that is just a sufficient condition, not a necessary one. A correct statement---but not in this problem---is that if the discriminant is > 0 the point is a strict local minimum. The corresponding necessary condition is that the discriminant be >= 0, (not > 0).

In your case, the function f(x,y) is monotonically strictly increasing in the region x >=0, y >= 0, so the solution is at the boundary x = y = 0. Basically, no fancy tests are needed.
 
So it's simply e^{(0)(0)}-2=-1?
 
Yes. Since the partial derivatives of e^{x+y}-2 are both positive for all x\ge 0, y\ge 0 are positive this function is always increasing as x and y increase so its minimum value must occur at (0, 0).
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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