Euler-Lagrange Equation for Functional S

In summary: This equation simplifies to \frac{\partial^2 f}{\partial x^2}+\frac{\partial^2 f}{\partial y^2}=0. In summary, the Euler-Lagrange equation for the given functional is \frac{\partial^2 f}{\partial x^2}+\frac{\partial^2 f}{\partial y^2}=0.
  • #1
neworder1
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Homework Statement



Let [tex]P[/tex] be a rectangle , [tex]f_{0} : \partial P \rightarrow R)[/tex] continuous and Lipschitz, [tex]C_{0} = \{ f \in C^{2}(P) : f=f_{0} \ on \ \partial P \}[/tex]. and finally [tex]S : C_{0} \rightarrow R[/tex] a functional:

[tex]S(f) = \int^b_a (\int^d_c (\frac{\partial f}{\partial x})^{2}\,dy)\,dx + \int^d_c (\int^a_b (\frac{\partial f}{\partial y})^{2}\,dx)\,dy[/tex].

Write Euler-Lagrange equation for S.

Homework Equations





The Attempt at a Solution



I tried writing: [tex]S(f) = \int^b_a (\int^d_c (\frac{\partial f}{\partial x})^{2} + (\frac{\partial f}{\partial y})^{2}\,dy)\,dx [/tex], so the proper Lagrangian would be [tex]L(x) = \int^d_c (\frac{\partial f}{\partial x})^{2} + (\frac{\partial f}{\partial y})^{2}\,dy[/tex].

Then the Euler-Lagrange equation should be [tex]\frac{d}{dx}\frac{\partial L}{\partial f^{'}_{x}} = 0 \leftrightarrow \frac{d}{dx}\frac{\partial }{\partial f^{'}_{x}}\int^d_c (\frac{\partial f}{\partial x})^{2}\,dy = 0[/tex], ([tex]L^{'} = \int^d_c (\frac{\partial f}{\partial x})^{2}\,dy[/tex]) and now since [tex]\frac{dL^{'}}{dx} = \frac{\partial L^{'}}{\partial f_{x}^{'}}\frac{\partial f_{x}^{'}}{\partial x}[/tex], we can rewrite that as [tex]\frac{d}{dx}\frac{\frac{d}{dx}\int^d_c (\frac{\partial f}{\partial x})^{2}\,dy}{f_{xx}^{''}} = 0 \leftrightarrow \frac{d}{dx}\frac{\int^d_c \frac{\partial}{\partial x}(\frac{\partial f}{\partial x})^{2}\,dy}{f_{xx}^{''}} = 0 \leftrightarrow \frac{d}{dx}\frac{\int^d_c 2f_{x}^{'}f_{xx}^{''}\,dy}{f_{xx}^{''}} = 0[/tex]. but what then?
 
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  • #2
You are making this too hard. Let's call [tex]\frac{\partial f}{\partial x}=f_x[/tex] and [tex]\frac{\partial f}{\partial y}=f_x[/tex]. Then the form of the Euler-Lagrange equations for two independent variables is [tex]\frac{\partial L}{\partial f}-\frac{\partial}{\partial x} \frac{\partial L}{\partial f_x}-\frac{\partial}{\partial y}\frac{\partial L}{\partial f_y}=0[/tex] where [tex]L=(f_x)^2+(f_y)^2[/tex].
 

FAQ: Euler-Lagrange Equation for Functional S

1. What is the Euler-Lagrange equation?

The Euler-Lagrange equation is a mathematical formula used to find the function that minimizes or maximizes a given integral. It is commonly used in the field of calculus of variations.

2. Who introduced the Euler-Lagrange equation?

The Euler-Lagrange equation was introduced by the Swiss mathematician Leonard Euler in the 18th century, and later refined by the Italian mathematician Joseph-Louis Lagrange in the 19th century.

3. What are the applications of the Euler-Lagrange equation?

The Euler-Lagrange equation has various applications in physics, engineering, and mathematics. It is used to solve problems in classical mechanics, quantum mechanics, optimal control, and differential geometry, among others.

4. How is the Euler-Lagrange equation derived?

The Euler-Lagrange equation is derived from the calculus of variations, which involves finding the extremum (maximum or minimum) of a functional. The equation is derived by setting the functional's derivative equal to zero and solving for the unknown function.

5. What are the limitations of the Euler-Lagrange equation?

The Euler-Lagrange equation assumes that the functional is differentiable and that the boundary conditions are fixed. It also does not take into account constraints on the system. In addition, the equation may not have a unique solution for certain problems.

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