Shape of a pinned canvas w/ Lagrange Multipliers

In summary, the conversation is about the catenary cable problem in 2-D. The 1-D case is simple, but in the 2-D case, it is more complicated as the shape of a surface with fixed area pinned at 4 points is not obvious. The problem arises because cloths can only deform in an isometric way, making it impossible to deform a square blanket into the optimal gravitational shape. Question 1 can be posed as an optimization problem, while Question 2 must be solved numerically.
  • #1
DuckAmuck
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I'm basically trying to understand the 2-D case of the catenary cable problem. The 1-D case is pretty straightforward, you have a functional of the shape of a cable with a constraint for length and gravity, and you get the explicit function of the shape of a cable.
But if you imagine a square canvas pinned in 4 places:
Sheet.png

It is not as obvious what the shape is. I'd expect the result to be a product of two catenary shapes, something like: Sheet(x,y) = Cat(x)*Cat(y). I apply a constraint to surface area of the sheet, but get wacky results. Any help will be appreciated. Thanks.
 
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Hey there. The generalization of the catenary problem to 2d is quite complicated.
In the 1-dimensional case, these two questions have the same answer:
1) What is the shape of a line with fixed length L, pinned to points P1 and P2, that has minimal gravitational energy?
2) If I hang a thin rope of length L between points P1 and P2, what shape will it have?
The catenary is the answer to both questions.

But in the 2-dimensional case, these two questions have a different answer:
1) What is the shape of a surface with fixed area A, pinned to points P1, P2, P3, and P4, that has minimal gravitational energy?
2) If I hang a piece of cloth of area A between points P1, P2, P3 and P4, what shape will it have?
These two have a different answer. The problem is that cloths can only deform in an isometric way, that is, in a way that preserves distance along the surface of the cloth. If you cut a piece of blanket into a circle of area A, and if you cut a piece of the top of a parachute into a circle of area A, these two are not equivalent. You will try to flatten the piece of parachute to match the piece of blanket, but wrinkles will appear everywhere when you try to do that. For this same reason, it will be impossible to deform a square blanket into the optimal gravitational shape given by the answer to Question 1.

Question 1 can be easily posed as an optimization problem, as done e.g. here (although note that instead of pinning the surface at 4 points, they require that the surface is pinned along a closed one-dimensional wire frame, which is a more natural generalization of the catenary boundary conditions). Once you find out what is the ideal mathematical surface given your constraints, you would have to weave a cloth specifically in this shape. It will definitely not be useful as a blanket.

Question 2, on the other hand, is much more complicated and has to be solved numerically using triangulated surfaces, see e.g. this, so that the original shape and metric of the blanket can be preserved as it deforms.
 

Related to Shape of a pinned canvas w/ Lagrange Multipliers

1. What is the "Shape of a Pinned Canvas with Lagrange Multipliers" problem?

The "Shape of a Pinned Canvas with Lagrange Multipliers" problem is a mathematical optimization problem that involves finding the shape of a canvas that is pinned at certain points while also minimizing its energy. This problem is commonly used in the study of mechanics and materials science.

2. What are Lagrange Multipliers?

Lagrange Multipliers are a mathematical tool used in optimization problems to find the optimal values for a set of variables while satisfying a set of constraints. In the "Shape of a Pinned Canvas with Lagrange Multipliers" problem, Lagrange Multipliers are used to find the shape of the canvas that minimizes its energy while also satisfying the constraints of being pinned at certain points.

3. What is the significance of the "Shape of a Pinned Canvas with Lagrange Multipliers" problem?

The "Shape of a Pinned Canvas with Lagrange Multipliers" problem has practical applications in engineering and materials science. It can be used to design structures that can withstand external forces and minimize energy consumption. It also has theoretical significance in the study of optimization and variational problems.

4. How is the "Shape of a Pinned Canvas with Lagrange Multipliers" problem solved?

The "Shape of a Pinned Canvas with Lagrange Multipliers" problem is solved using the method of Lagrange Multipliers. This involves setting up an objective function with the constraints and then finding the values for the variables that minimize the objective function while satisfying the constraints. This is typically done through a series of mathematical calculations and iterations.

5. What are some limitations of the "Shape of a Pinned Canvas with Lagrange Multipliers" problem?

One limitation of the "Shape of a Pinned Canvas with Lagrange Multipliers" problem is that it assumes the pinned points on the canvas are fixed and immovable, which may not always be the case in real-world scenarios. Additionally, the problem may become more complex and difficult to solve when dealing with a larger number of pinned points and more complex constraints. The method of Lagrange Multipliers also relies on the assumption that the objective function and constraints are differentiable, which may not always be the case.

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