Quick Question about Critical Points

In summary, to find the critical points of a function defined on \mathbb{R}^2 that is continuous and of class C^{\infty}, one can look for points where the Jacobian is zero. To classify these points, the eigenvalues of the Hessian matrix should be examined. If the Hessian has only nonzero eigenvalues, with one positive and one negative at a point c where the Jacobian is zero, then c is a saddle point of type (1,1).
  • #1
AKG
Science Advisor
Homework Helper
2,567
4
Say I have a function defined on all of [itex]\mathbb{R}^2[/itex] which is continuous everywhere, and of class [itex]C^{\infty}[/itex]. To find the critical points, I simply find the points where the Jacobian is zero, right (since every point in the domain is in the interior of the domain). Then, to classify the critical points, I look at the eigenvalues of the Hessian (2 x 2)-matrix. If the Hessian has only nonzero eigenvalues, one of which is positive, and one of which is negative at some point c where the Jacobian is zero, then at c, the function has a saddle-point of type (1,1). Is that correct?
 
Physics news on Phys.org
  • #2
Yes, that is correct. If the Jacobian is zero at some point c and the Hessian has two nonzero eigenvalues, one positive and one negative, then c is a saddle point of type (1,1).
 
  • #3


Yes, that is correct. Finding the critical points of a function involves finding the points where the Jacobian is zero. And to classify these critical points, we look at the eigenvalues of the Hessian matrix. If the Hessian has only nonzero eigenvalues, one positive and one negative, at a point where the Jacobian is zero, then that point is a saddle-point of type (1,1). This means that the function has both a local maximum and a local minimum at that point.
 

Related to Quick Question about Critical Points

1. What are critical points?

Critical points are the points on a graph where the derivative of a function is equal to zero or does not exist. They represent the potential maximum or minimum values of a function.

2. How do you find critical points?

To find critical points, you must first take the derivative of the function and set it equal to zero. Then, solve the resulting equation to find the x-values of the critical points. These x-values can then be plugged back into the original function to find the corresponding y-values.

3. What do critical points tell us about a function?

Critical points give us information about the behavior of a function. They can indicate where the function reaches its maximum or minimum values, as well as any potential inflection points or points of discontinuity.

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

Yes, a function can have multiple critical points. This can occur when the function has multiple local extrema or when there are multiple points where the derivative is equal to zero.

5. How are critical points used in optimization problems?

Critical points are used in optimization problems to find the maximum or minimum values of a function. By analyzing the critical points, we can determine which point gives the optimal solution to the problem.

Similar threads

  • Calculus and Beyond Homework Help
Replies
4
Views
905
  • Introductory Physics Homework Help
Replies
3
Views
585
Replies
4
Views
901
  • Introductory Physics Homework Help
Replies
17
Views
524
  • Introductory Physics Homework Help
Replies
21
Views
730
  • Calculus and Beyond Homework Help
Replies
4
Views
2K
Replies
1
Views
854
  • Calculus and Beyond Homework Help
Replies
2
Views
1K
  • Introductory Physics Homework Help
Replies
11
Views
871
  • Topology and Analysis
Replies
4
Views
787
Back
Top