Critical points with multiple variables

In summary, the conversation discusses how to locate and classify the critical points of the function f(x,y) = (x-y)(xy-1). The attempt at a solution involves finding the partial derivatives with respect to x and y and setting them equal to zero, but the person is having trouble solving for x and y. The conversation concludes with a helpful suggestion to continue solving by manipulating the equations.
  • #1
HAL10000
21
0

Homework Statement



Locate and classify the critical points of f(x,y) = (x-y)(xy-1).

Homework Equations


The Attempt at a Solution



I found the partial derivatives with respect to x and y and I got:

∂f/∂x = -y2+2xy-1 ∂f/∂y = x2-2xy+1

After setting them both equal to zero I can't find a way to solve for x and y.
 
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  • #2
HAL10000 said:

Homework Statement



Locate and classify the critical points of f(x,y) = (x-y)(xy-1).

Homework Equations





The Attempt at a Solution



I found the partial derivatives with respect to x and y and I got:

∂f/∂x = -y2+2xy-1 ∂f/∂y = x2-2xy+1

After setting them both equal to zero I can't find a way to solve for x and y.
So your equations are y2 - 2xy +1 = 0 and x2 - 2xy + 1 = 0.

Or y2 = 2xy -1, and x2 = 2xy - 1.

Can you continue from here?
 
  • #3
wow, yes, thank you :redface: this is what happens when you do too many of these problems in one night
 

Related to Critical points with multiple variables

1. What is a critical point with multiple variables?

A critical point with multiple variables is a point on a function where the partial derivatives of all the variables are equal to zero. This point can be a minimum, maximum, or saddle point.

2. How do you find critical points with multiple variables?

To find critical points with multiple variables, you need to take the partial derivatives of the function with respect to each variable and set them equal to zero. Then, solve the resulting system of equations to find the critical points.

3. What is the significance of critical points with multiple variables?

Critical points with multiple variables are important in optimization problems, as they represent the points where the function's slope is zero. This can help determine the optimal values for the variables in the function.

4. Can a function have more than one critical point with multiple variables?

Yes, a function can have multiple critical points with multiple variables. These points can be local or global maxima, minima, or saddle points.

5. How do you determine the nature of a critical point with multiple variables?

To determine the nature of a critical point with multiple variables, you need to analyze the second-order partial derivatives of the function at that point. The nature of the critical point can be determined by the signs of these second-order derivatives.

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