Euler- Lagrange equation proof

In summary, the Euler-Lagrange equation is derived from the principle of stationary action in the calculus of variations. It states that for a functional defined by an integral of the form \( J[y] = \int F(x, y, y') \, dx \), where \( F \) is a function of the dependent variable \( y \) and its derivative \( y' \), the function \( y(x) \) that extremizes \( J[y] \) must satisfy the condition \( \frac{\partial F}{\partial y} - \frac{d}{dx}\left(\frac{\partial F}{\partial y'}\right) = 0 \). The proof involves applying the fundamental theorem of calculus and properties of
  • #1
member 731016
Homework Statement
Please see below
Relevant Equations
Please see below
For this problem,
1718433795307.png

The solution is,
1718434123762.png

However, I have a question about the solution. Does someone please know why they write out ##\frac{dF}{dx} = \frac{\partial F}{\partial y}y' + \frac{\partial F}{\partial y'}y''## since we already know that ##\frac{dF}{dx} = 0##?

Thanks!
 
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  • #2
I believe you are confusing total derivatives with partial derivatives

##\frac{dF}{dx}## and ##\frac{\partial F}{\partial x}## are not the same thing.
 
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  • #3
To expand in the above:

In general, without the condition ##\partial F/\partial x = 0##, we would have
$$
\frac{dF}{dx} =
\frac{\partial F}{\partial x} +
\frac{\partial F}{\partial y} y’ +
\frac{\partial F}{\partial y’} y’’
$$
by virtue of the chain rule for derivatives. Apply the condition to obtain what is in the proof.
 
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FAQ: Euler- Lagrange equation proof

What is the Euler-Lagrange equation?

The Euler-Lagrange equation is a fundamental equation in the calculus of variations that provides a necessary condition for a function to be an extremum of a functional. It is derived from the principle of stationary action in physics and is expressed as a second-order differential equation involving a function and its derivatives.

How do you derive the Euler-Lagrange equation?

The derivation of the Euler-Lagrange equation begins with the functional defined as an integral of a Lagrangian function, typically denoted as L. By considering small variations of the function that extremizes the functional and applying the fundamental theorem of calculus, one arrives at the condition that leads to the Euler-Lagrange equation. The process involves integrating by parts and setting the variation of the functional to zero.

What are the boundary conditions for the Euler-Lagrange equation?

Boundary conditions for the Euler-Lagrange equation typically specify the values of the function at the endpoints of the interval over which the functional is defined. These conditions are essential because they ensure that the variations of the function are well-defined and lead to a unique solution to the differential equation.

Can the Euler-Lagrange equation be applied to systems with constraints?

Yes, the Euler-Lagrange equation can be applied to systems with constraints, but it requires modifications. For holonomic constraints, one can use Lagrange multipliers or reformulate the problem using generalized coordinates that inherently satisfy the constraints. For non-holonomic constraints, additional conditions must be considered in the derivation.

What are some applications of the Euler-Lagrange equation?

The Euler-Lagrange equation has widespread applications in physics and engineering, particularly in classical mechanics, where it is used to derive the equations of motion for systems. It is also applied in fields such as optics, fluid dynamics, and control theory, where it helps in optimizing various physical processes and systems.

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