Euler Lagrange Equation trough variation

In summary, the conversation discusses how to vary actions and write the Euler-Lagrange equations of motion. It is mentioned that there is a trick to solving this, which involves making a new function q = q(t) + \delta q(t). The conversation also mentions that this method requires \delta q(t_1) = \delta q(t_2) = 0 and suggests using \delta S = \int dt \frac{\partial f}{\partial q} \delta q = \int dt \delta q to solve for \delta q. However, the problem still remains that there is no function that makes \delta S = 0 for every \delta q, leading to the conclusion that a new approach may be needed
  • #1
BasharTeg
5
0

Homework Statement



"Vary the following actions and write down the Euler-Lagrange equations of motion."

Homework Equations



[itex]S =\int dt q[/itex]

The Attempt at a Solution



Someone said there is a weird trick required to solve this but he couldn't remember. If you just vary normally you get [itex]\delta S=\int dt \delta q=0[/itex]
and that's not helpful. Any suggestion on how to avoid this problem?
 
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  • #2
I believe you need to make your function [itex] q = q(t) + \delta q(t) [/itex] and then observe that since this new function needs to have the same ending points it implies that
[tex]
\delta q(t_1) = \delta q(t_2) = 0
[/tex]
And follow that with what [itex] \delta S [/itex] becomes :)
 
  • #3
thanks but isn't this just the general way of variation?

[itex] \delta S = \int dt (f(q+\delta q) - f(q))= \int dt \frac{\partial f}{\partial q} \delta q = \int dt \delta q[/itex]

and there still the same problem remains that I can't find any function that makes [itex] \delta S = 0[/itex] for every [itex]\delta q[/itex] because here I would get [itex]1=0[/itex].
Or did i miss your point?
 

Related to Euler Lagrange Equation trough variation

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

The Euler-Lagrange equation is a mathematical equation that describes the behavior of a physical system in terms of its energy and forces. It is important in science because it allows us to understand and predict the motion and behavior of complex physical systems, such as particles, fluids, and fields.

2. How is the Euler-Lagrange equation derived?

The Euler-Lagrange equation is derived using the principle of least action, which states that the actual path of a physical system is the one that minimizes the action (a measure of energy) of the system. This principle is based on the Fermat's principle of least time in optics, and the calculus of variations is used to find the specific form of the Euler-Lagrange equation for a given system.

3. What is the difference between the Euler-Lagrange equation and the Newton's second law of motion?

While the Newton's second law of motion is based on the concept of force and acceleration, the Euler-Lagrange equation is based on the concept of energy and the principle of least action. This means that the Euler-Lagrange equation can be used to describe the motion and behavior of a system without explicitly considering the forces acting on it.

4. What are some applications of the Euler-Lagrange equation?

The Euler-Lagrange equation has various applications in physics, engineering, and other fields. It is commonly used to analyze the behavior of particles in fields such as mechanics, electromagnetism, and quantum mechanics. It is also used in the study of fluid dynamics, optimization problems, and control systems.

5. Are there any limitations to the use of the Euler-Lagrange equation?

While the Euler-Lagrange equation is a powerful tool for understanding and predicting the behavior of physical systems, it does have some limitations. It is based on the assumption that the system's energy and forces can be described by a single function, and it may not be applicable to certain complex systems. Additionally, it cannot be used to solve systems with discontinuous or singular forces.

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