Minima of a multivariable function.

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Homework Help Overview

The problem involves finding the minimum value of the function f(x,y)=e^{x+y}-2 under the constraints x≥0 and y≥0. The discussion centers around the conditions for local extrema and the implications of the discriminant in the context of constrained optimization.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the calculation of partial derivatives and the discriminant, questioning how the answer of -1 can be reached despite the discriminant being zero. There is also a discussion about the conditions for local extrema and the impact of constraints on the application of standard tests.

Discussion Status

The discussion is ongoing, with some participants providing insights into the nature of the function and its behavior under the given constraints. There is recognition that standard methods may need to be adapted for boundary conditions, and a productive direction is emerging regarding the interpretation of the function's monotonicity.

Contextual Notes

Participants note that the usual first and second-order tests for extrema may not apply directly due to the constraints of the problem. The implications of the discriminant being zero are also under scrutiny, with emphasis on the need for modified approaches in constrained optimization scenarios.

Cpt Qwark
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Homework Statement


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

Homework Equations


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

The Attempt at a Solution


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

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 [tex]f(x,y)=e^{x+y}-2[/tex] within x≥0 and y≥0.

Homework Equations


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

The Attempt at a Solution


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

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 [tex]e^{(0)(0)}-2=-1?[/tex]
 
Yes. Since the partial derivatives of [itex]e^{x+y}-2[/itex] are both positive for all [itex]x\ge 0[/itex], [itex]y\ge 0[/itex] are positive this function is always increasing as x and y increase so its minimum value must occur at (0, 0).
 

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