Lagrange Multiplier where constraint is a rectangle

In summary, Lagrange Multipliers can be used to find the extrema of a curve over a rectangular region. It is recommended to first find the critical points of the gradient within the rectangle and then use Lagrange multipliers to consider the boundary of the rectangle. However, for simple boundary constraints, it may be more efficient to insert the constraint and treat the resulting function as a function of the remaining variable.
  • #1
SamitC
36
0
Hello,
How can I use Lagrange Multipliers to get the Extrema of a curve f(x,y) = x2+4y2-2x2y+4 over a rectangular region -1<=x<=1 and -1<=y<=1 ?
Thanks
 
Physics news on Phys.org
  • #2
yes, before it is simpler to study the critical point of the gradient and look for max or min inside the rectangle, you can apply the Lagrange method for the boundary of the rectangle ...
 
  • Like
Likes SamitC
  • #3
Just to add to what Ssnow said, I think that Lagrange multipliers are only directly useful for continuous constraints. If the constraint is just that [itex](x,y)[/itex] must be inside a rectangle, then I would think that you would do the following:

  1. First, find the extrema forgetting about the rectangle.
  2. Then if the extrema found in step 1 are all inside the rectangle, then you're done.
  3. If not, then use the method of Lagrange multipliers to find the extrema for each of the four sides of the rectangle.
 
  • Like
Likes SamitC
  • #4
I actually think it is overkill to use Lagrange multipliers for the boundaries. Since the boundaries are so simple, just insert the boundary constraint and treat the resulting function as a function of the remaining variable.
 
  • Like
Likes SamitC
  • #5
Thanks a lot. Its clear now.
 

1. What is a Lagrange Multiplier?

A Lagrange Multiplier is a mathematical tool used to find the maximum or minimum value of a function subject to a constraint. It takes into account the constraints and helps to find the optimal solution.

2. How does a Lagrange Multiplier work?

A Lagrange Multiplier works by using a scalar value, called the multiplier, to incorporate the constraint into the objective function. This creates a new function called the Lagrangian, which is then optimized to find the optimal solution.

3. What is a constraint in the context of a Lagrange Multiplier?

A constraint in the context of a Lagrange Multiplier is a condition that the solution must satisfy. It can be an equation or inequality that limits the possible values of the variables in the objective function.

4. How is a rectangle constraint represented in a Lagrange Multiplier?

In a Lagrange Multiplier where the constraint is a rectangle, the constraint is typically represented as a set of two inequalities, one for the upper and lower bounds of the rectangle in the x-direction, and another for the upper and lower bounds of the rectangle in the y-direction.

5. What are some real-world applications of a Lagrange Multiplier with a rectangle constraint?

A Lagrange Multiplier with a rectangle constraint can be used in a variety of real-world scenarios, such as optimizing production processes to fit within a certain budget, maximizing profits while staying within resource limitations, and minimizing material waste in manufacturing processes.

Similar threads

Replies
1
Views
944
Replies
3
Views
1K
Replies
13
Views
1K
Replies
9
Views
1K
  • Calculus and Beyond Homework Help
Replies
8
Views
476
Replies
2
Views
942
Replies
7
Views
2K
Replies
9
Views
2K
Replies
9
Views
2K
  • Calculus and Beyond Homework Help
Replies
10
Views
378
Back
Top