Another Problem

In the problem you just solved you were able to parametrize the constraint curve (the ellipse). If you think about it, with such a parametrization in hand you can solve the optimization problem without the method of Lagrange multipliers, using single-variable calculus techniques. (Ask yourself how.)

But it's often difficult or even impossible to write down parametrizations to implicitly-defined curves. The curve in the following problem is an example. That's why the method of Lagrange multipliers is so powerful -- you don't have to have a parametrization of the constraint equation.


Question 8

Use the method of Questions 1-5 to find the maximum and minimum values of the function
f(x,y)=x^2+x*(y+2)
when x and y are constrained to lie on the implicitly-defined curve
x^4-2*x^2+y^2=1/4.
In other words, use graphical techniques to locate all points where grad f(x,y) is parallel to grad g(x,y). Use these points to find the maximum and minimum values of f(x,y) restricted to the curve.

Hint: Use the Maple command

implicitplot(x^4-2*x^2+y^2=1/4, x=-1.5..1.5, y=-1.5..1.5);
to plot the constraint curve in the (x,y) plane.

In your writeup include a plot of the graph of f(x,y) with a sketch of the restriction of f(x,y) to the constraint curve. Indicate the extreme points on this curve that you found with the above techniques.


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Up: Outline

Robert E. Thurman<thurman@geom.umn.edu>
Document Created: Sat Jan 13 1996
Last modified: Tue Jan 21 09:28:23 1997