Sloppy Derivation of Euler-Lagrange.

In summary, the conversation discusses the derivation of the Euler-Lagrange equations, which involve finding stationary points of the action in a variational problem. However, the statement that the Lagrangian is invariant under arbitrary shifts in the orbit restricts the set of Lagrangians that can be considered.
  • #1
DuckAmuck
236
40
Just wondering how much validity there is to this derivation, or if it's just a convenient coincidence that this works.

We have a Lagrangian dependent on position and velocity: [tex] \mathcal{L} (x, \dot{x}) [/tex]
Let's say now that we've perturbed the system a bit so we now have:
[tex] \mathcal{L} (x + \delta x, \dot{x} + \delta \dot{x}) [/tex]
But the physics can't change from a perturbation, therefore:
[tex] \mathcal{L} (x + \delta x, \dot{x} + \delta \dot{x}) = \mathcal{L} (x, \dot{x}) [/tex]

We can expand the perturbed Lagrangian to first order for both position and velocity:
[tex] \mathcal{L} (x + \delta x, \dot{x} + \delta \dot{x}) = \mathcal{L} (x, \dot{x}) + \frac{\partial \mathcal{L}}{\partial x} \delta x + \frac{\partial \mathcal{L}}{\partial \dot{x}} \delta \dot{x} [/tex]

This implies that:
[tex] \frac{\partial \mathcal{L}}{\partial x} \delta x + \frac{\partial \mathcal{L}}{\partial \dot{x}} \delta \dot{x} = 0 [/tex]
which I will call "equation A".

Assuming
[tex] \delta \dot{x} = \frac{d}{dt} \delta x [/tex]
we can use the product rule:
[tex] \frac{d}{dt} \left( \frac{\partial \mathcal{L}}{\partial \dot{x}} \delta x \right) = \frac{d}{dt} \frac{\partial \mathcal{L}}{\partial \dot{x}} \delta x + \frac{\partial \mathcal{L} }{\partial \dot{x}} \delta \dot{x} [/tex]

which we can plug into equation A and get:
[tex] \left( \frac{\partial \mathcal{L} }{\partial x} - \frac{d}{dt} \frac{\partial \mathcal{L} }{\partial \dot{x}} \right) \delta x + \frac{d}{dt} \left( \frac{\partial \mathcal{L}}{\partial \dot{x}} \delta x \right) = 0 [/tex]

You can see the Euler-Lagrange equation in there. All that's left to eliminate is the term:
[tex] \frac{d}{dt} \left( \frac{\partial \mathcal{L}}{\partial \dot{x}} \delta x \right) [/tex]
You can argue that this term is 0, because complete time derivative terms can be integrated over t, and the endpoints can be chosen to have dx(endpoint) = 0.

So then you are left with:
[tex] \frac{\partial \mathcal{L} }{\partial x} - \frac{d}{dt} \frac{\partial \mathcal{L} }{\partial \dot{x}} = 0 [/tex]

Anyone with the patience to read this, what are your thoughts? Thank you.
 
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  • #2
You have most of the steps of the derivation of the Euler-Lagrange equations (modulo defining an action and stating an extremization principle), but the statement which is clearly unfounded is ##\mathcal{L} (x + \delta x, \dot{x} + \delta \dot{x}) = \mathcal{L} (x, \dot{x})##. This hugely restricts the set of Lagrangians you can consider. In fact it eliminates the Lagrangians we almost always consider which are quadratic in ##\dot{x}## and a non-constant in ##x##.
 
  • #3
The point is that you want to find stationary points of the action, i.e., to solve a variational problem. Then all these steps can be made rigorous. Of course, the Lagrangian is not invariant under arbitrary shifts of the orbit in configuration space. This would imply that the Lagrangian is a constant.
 

Related to Sloppy Derivation of Euler-Lagrange.

What is the Euler-Lagrange equation and why is it important in science?

The Euler-Lagrange equation is a fundamental equation in physics and mathematics that is used to find the minimum or maximum of a given mathematical function. It is important because it allows scientists to understand the behavior of complex systems and make predictions based on the principles of least action.

What is a "sloppy derivation" of the Euler-Lagrange equation?

A sloppy derivation of the Euler-Lagrange equation refers to a less rigorous or less precise way of deriving the equation. It may involve making certain assumptions or approximations that may not hold true in all cases.

Why is it important to avoid sloppy derivations in science?

Sloppy derivations can lead to incorrect or unreliable results, which can have serious consequences in scientific research. It is important to follow strict and rigorous methods in order to obtain accurate and trustworthy results.

What are some common mistakes made in sloppy derivations of the Euler-Lagrange equation?

Some common mistakes include neglecting certain terms or variables, making incorrect substitutions, and not fully understanding the underlying principles and assumptions. These mistakes can lead to inaccurate results and should be avoided in scientific work.

How can one ensure a rigorous derivation of the Euler-Lagrange equation?

To ensure a rigorous derivation, one should carefully follow the steps and assumptions involved in the derivation, double-check all calculations and substitutions, and seek guidance from experts in the field if needed. It is also important to have a thorough understanding of the underlying concepts and principles involved.

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