Lagrange Multipliers: Minimum and Maximum Values

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Homework Help Overview

The original poster attempts to find the minimum and maximum values of the function f(x,y)=2x^2 + 3y^2 under the constraint xy=5. The discussion revolves around the application of Lagrange multipliers and the nature of the critical points derived from this method.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the symmetry of the critical points and question the existence of maxima versus minima. There is mention of calculating the "D-index" to analyze the nature of these critical points. Some suggest substituting the constraint into the function to simplify the problem.

Discussion Status

There is an ongoing exploration of the critical points and their properties. Some participants express doubt about their initial conclusions regarding maxima and minima, while others provide insights into the symmetry and behavior of the function and constraint. No explicit consensus has been reached, but productive lines of reasoning are being shared.

Contextual Notes

Participants note the implications of the constraint on the number of critical points and the nature of the function's surface. There is a recognition of the potential for confusion regarding the expected outcomes of the problem.

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Homework Statement


I am trying to find the min and max values of f(x,y)=2x^2 + 3y^2 subject to xy=5.

Homework Equations


f(x,y)=2x^2 + 3y^2 subject to xy=5
[itex]\mathbf\nabla[/itex]f=(4x, 6y)
[itex]\mathbf\nabla[/itex]g=(y,x)

The Attempt at a Solution


When I go through the calculations, I end up with two critical points, but both yield the same maximum value. Is this correct that there are two maxs and no min? I'm skeptical. Any suggestions are appreciated.
 
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I withdraw my previous remark: the Lagrange equation has an x2 term which equals a y2 term , so the critical points are symmetrical about the origin, but there are only two (not four as I earlier proposed). Since the function has an elliptic paraboloid for a surface, z is only ≥ 0 , so there won't be maxima. The constraint has a surface which is a hyperbolic cylinder, so the intersection curves turn out to be "upward-opening" parabolas. Calculate the "D-index" (the thingie with the second partial derivatives) to satisfy yourself that the critical points are minima.
 
Last edited:
dynamicsolo said:
I withdraw my previous remark: the Lagrange equation has an x2 term which equals a y2 term , so the critical points are symmetrical about the origin, but there are only two (not four as I earlier proposed). Since the function has an elliptic paraboloid for a surface, z is only ≥ 0 , so there won't be maxima. The constraint has a surface which is a hyperbolic cylinder, so the intersection curves turn out to be "upward-opening" parabolas. Calculate the "D-index" (the thingie with the second partial derivatives) to satisfy yourself that the critical points are minima.

Oooh. Now I deleted my previous post because I felt kind of doubtful. Notice you can actually solve for y=5/x. Substitute that in for y and find the extrema as a single variable problem to check your Lagrange solution.
 
dynamicsolo said:
I withdraw my previous remark: the Lagrange equation has an x2 term which equals a y2 term , so the critical points are symmetrical about the origin, but there are only two (not four as I earlier proposed). Since the function has an elliptic paraboloid for a surface, z is only ≥ 0 , so there won't be maxima. The constraint has a surface which is a hyperbolic cylinder, so the intersection curves turn out to be "upward-opening" parabolas. Calculate the "D-index" (the thingie with the second partial derivatives) to satisfy yourself that the critical points are minima.

Okay, I see what I did wrong. I just assumed the values I got after plugging the critical points in f(x,y) were maximums. I calculated D and see they are minimums. Thanks a lot. I guess I was expecting both a min and a max for some reason.
 
Dick said:
Oooh. Now I deleted my previous post because I felt kind of doubtful. Notice you can actually solve for y=5/x. Substitute that in for y and find the extrema as a single variable problem to check your Lagrange solution.

Done. It worked, thanks.
 
Dick said:
Oooh. Now I deleted my previous post because I felt kind of doubtful. Notice you can actually solve for y=5/x. Substitute that in for y and find the extrema as a single variable problem to check your Lagrange solution.

Sorry to have dropped a small spanner into the works. When the equations for [itex]\lambda[/itex] led me to 4x2 = 6y2 , I immediately thought "four-fold symmetry". But the constraint equation imposes a diagonal symmetry, so the number of critical points is forced to be only two, rather than four...
 
dynamicsolo said:
Sorry to have dropped a small spanner into the works. When the equations for [itex]\lambda[/itex] led me to 4x2 = 6y2 , I immediately thought "four-fold symmetry". But the constraint equation imposes a diagonal symmetry, so the number of critical points is forced to be only two, rather than four...

Sure, no problem. I just had a spasm of self-doubt.
 

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