Lagrangian Definition and Summary

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In summary, the Lagrangian is a function used to summarize equations of motion and appears in the action, which can be used to find the extremum of the action and solve classical equations of motion. It is also used in quantum mechanics and can be easily changed to make problems more tractable. Lagrangians are also useful for testing for symmetries.
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Definition/Summary

The Lagrangian is a function that summarizes equations of motion. It appears in the action, a quantity whose extremum (minimum or maximum) yields the classical equations of motion by use of the Euler-Lagrange equation. In quantum mechanics, the action, and thus the Lagrangian, appears in the path integral, and the eikonal or geometric-optics limit of the path integral is finding the extremum of the action.

Though originally developed for Newtonian-mechanics particle systems, Lagrangians have been used for relativistic particle systems, classical fields, and quantum-mechanical systems. Lagrangians are often more convenient to work with than the original equations of motion, because one can easily change variables in them to make a problem more easily tractable.

Lagrangians are also easier for testing for symmetries, since unlike equations of motion, they are unchanged by symmetries.

Equations

Action principle: the action I for time t and system coordinate q(t) is the integral of the Lagrangian L:
[itex]I = \int L(q(t), \dot q(t), t) dt[/itex]

The extremum of the action yields the Euler-Lagrange equation, which gives:
[itex]\frac{d}{dt}\left(\frac{\partial L}{\partial \dot q(t)}\right) - \frac{\partial L}{\partial q(t)} = 0[/itex]

with appropriate terms for any higher derivatives which may be present.

It is easily generalized to multiple independent variables [itex]x_i[/itex] and multiple dependent variables [itex]q_a(x)[/itex]:
[itex]\sum_i \frac{\partial}{\partial x_i}\left(\frac{\partial L}{\partial (\partial q_a(x) / \partial x_i)}\right) - \frac{\partial L}{\partial q_a(x)} = 0[/itex]

Extended explanation

Let us start with a Newtonian equation of motion for a particle with position q and mass m moving in a potential V(q,t):
[itex]m \frac{d^2 q}{dt^2} = - \frac{\partial V}{\partial q}[/itex]

It can easily be derived from this Lagrangian with the Euler-Lagrange equations:
[itex]L = T - V[/itex]

where the kinetic energy has its familiar Newtonian value:
[itex]T = \frac12 m \left( \frac{dq}{dt} \right)^2[/itex]

* This entry is from our old Library feature. If you know who wrote it, please let us know so we can attribute a writer. Thanks!
 
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Thanks for the overview of Lagrangian
 

Related to Lagrangian Definition and Summary

1. What is the Lagrangian definition?

The Lagrangian definition refers to a mathematical function used in the field of classical mechanics to describe the dynamics of a physical system. It is named after the mathematician Joseph-Louis Lagrange and is based on the principle of least action.

2. How is the Lagrangian defined?

The Lagrangian is defined as the difference between the kinetic energy and the potential energy of a system. It is represented by the symbol L and is expressed as L = T - V, where T is the kinetic energy and V is the potential energy.

3. What is the purpose of using the Lagrangian in mechanics?

The Lagrangian allows us to describe the motion of a system using a single mathematical function, making it more convenient and efficient than using multiple equations. It also allows us to derive the equations of motion for a system using the principle of least action.

4. What are the advantages of using the Lagrangian over other methods?

One of the main advantages of using the Lagrangian is that it is independent of the choice of coordinates, making it easier to apply to complex systems. It also takes into account all forces acting on a system, including non-conservative forces, and allows for the use of constraints in the equations of motion.

5. How is the Lagrangian used in practical applications?

The Lagrangian is used in a variety of fields, including classical mechanics, quantum mechanics, and field theory. It is used to study the motion of particles, the behavior of fluids, and the dynamics of systems such as pendulums and rigid bodies. It is also essential in various engineering applications, such as in the design of control systems and robotics.

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