Lagrangian
Encyclopedia : L : LA : LAG : Lagrangian
A Lagrangian [ \mathcal[varphi_i] ] of a dynamical system, named after Joseph Louis Lagrange, is a function of the dynamical variables [\ \varphi_i(s)] and concisely describes the equations of motion of the system. The equations of motion are obtained by means of an action principle, written as
- [ \frac} = 0 ]
[\ s_\alpha ] denoting the set of parameters of the system.
The equations of motion obtained by means of the functional derivative are identical to the usual Euler-Lagrange equations. Dynamical systems whose equations of motion are obtainable by means of an action principle on a suitably chosen Lagrangian are known as Lagrangian dynamical systems. Examples of Lagrangian dynamical systems range from the (classical version of the) Standard Model, to Newton's equations, to purely mathematical problems such as geodesic equations and Plateau's problem.
The Lagrange formulation of mechanics is important not just for its broad applications (see below) but also for its role in advancing deep understanding of physics. Although Lagrange sought to describe classical mechanics, the action principle that is used to derive the Lagrange equation is now recognized to be deeply tied to quantum mechanics: physical action and quantum-mechanical phase (waves) are related via Planck's constant, and the principle of stationary action can be understood in terms of constructive interference of wave functions. The same principle, and the Lagrange formalism, are tied closely to Noether's Theorem, which relates physical conserved quantities to continuous symmetries of a physical system; and Lagrangian mechanics and Noether's Theorem together yield a natural formalism for first quantization by including commutators between certain terms of the Lagrangian equations of motion for a physical system.
An example from classical mechanics
The concept of a Lagrangian was originally introduced in a reformulation of classical mechanics known as Lagrangian mechanics. In this context, the Lagrangian is usually taken to be the kinetic energy of a mechanical system minus its potential energy.Suppose we have a three dimensional space and the Lagrangian
- [\begin\frac\end m\dot}^2-V(\vec).]
Using this result we can easily show that the Lagrangian approach is equivalent to the Newtonian one. We write the force in terms of the potential [\vec=- \nabla V(x)]; then the resulting equation is [\vec=m\ddot}], which is exactly the same equation as in a Newtonian approach for a constant mass object. A very similar deduction gives us the expression [\vec=\mathrm\vec/\mathrmt], which is Newton's Second Law in its general form.
Suppose we have a three-dimensional space in spherical coordinates, r, θ, φ with the Lagrangian
- [\frac(\dot^2+r^2\dot^2 +r^2\sin^2\theta\dot^2)-V(r).]
- [m\ddot-mr(\dot^2+\sin^2\theta\dot^2)+V' =0,]
- [\frac}t}(mr^2\dot) -mr^2\sin\theta\cos\theta\dot^2=0,]
- [\frac}t}(mr^2\sin^2\theta\dot)=0.]
Lagrangians and Lagrangian densities in field theory
In field theory, occasionally a distinction is made between the Lagrangian [L], of which the action is the time integral
- [S = \intt}]
- [S [varphi_i] = \int [varphi_i (x)]\, \mathrm^4x}]
Electromagnetic Lagrangian
Generally, in Lagrangian mechanics, the Lagrangian is equal to- [ L = T - V ]
- [ T = m \mathbf \cdot \mathbf ]
- [ V = q\phi - \mathbf \cdot \mathbf ]
- [ L = m \mathbf \cdot \mathbf - q\phi + \mathbf \cdot \mathbf . ]
Lagrangians in Quantum Field Theory
Quantum Electrodynamic Lagrangian
The Lagrangian density for QED is- [ \mathcal = \bar \psi (i \not \!\, D - m) \psi - F_ F^]
Dirac Lagrangian
The Lagrangian density for a Dirac field is- [ \mathcal = \bar \psi (i \not \! \; \partial - m) \psi ].
Quantum Chromodynamic Lagrangian
The Lagrangian density for quantum chromodynamics is [link] [link] [link]- [ \mathcal = - F^\alpha _ F_\alpha ^ - \sum_n \bar \psi_n (\not\!\, D_\mu + m_n) \psi_n ]
Mathematical formalism
Suppose we have an n-dimensional manifold, M and a target manifold T. Let [\mathcal] be the configuration space of smooth functions from M to T.Before we go on, let's give some examples:
- In classical mechanics, in the Hamiltonian formalism, M is the one dimensional manifold [\mathbb], representing time and the target space is the cotangent bundle of space of generalized positions.
- In field theory, M is the spacetime manifold and the target space is the set of values the fields can take at any given point. For example, if there are m real-valued scalar fields, φ1,...,φm, then the target manifold is [\mathbb^m]. If the field is a real vector field, then the target manifold is isomorphic to [\mathbb^n]. There is actually a much more elegant way using tangent bundles over M, but we will just stick to this version.
In order for the action to be local, we need additional restrictions on the action. If [\varphi\in\mathcal], we assume S[φ] is the integral over M of a function of φ, its derivatives and the position called the Lagrangian, [\mathcal(\varphi,\partial\varphi,\partial\partial\varphi, ...,x)]. In other words,
- [\forall\varphi\in\mathcal, \ \ S[varphi]\equiv\int_M \mathrm^nx \mathcal \big( \varphi(x),\partial\varphi(x),\partial\partial\varphi(x), ...,x \big).]
Given boundary conditions, basically a specification of the value of φ at the boundary if M is compact or some limit on φ as x approaches [\infty] (this will help in doing integration by parts), the subspace of [\mathcal] consisting of functions, φ such that all functional derivatives of S at φ are zero and φ satisfies the given boundary conditions is the subspace of on shell solutions.
The solution is given by the Euler-Lagrange equations (thanks to the boundary conditions),
- [\fracS=-\partial_\mu \left(\frac}\right)+ \frac}=0.]
See also
- Functional derivative
- Functional integral
- action principle
- Coherence condition
- Generalized coordinates
- Hamiltonian mechanics
- Lagrangian mechanics
- Lagrangian point
- Noether's theorem
- Covariant classical field theory
References
- Christoph Schiller (2005), [Global descriptions of motion: the simplicity of complexity], [Motion Mountain]
- David Tong [Classical Dynamics] (Cambridge lecture notes)
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