Euler-Lagrange Equations and Derivatives

In summary, Euler-Lagrange equations are a set of differential equations used to find the stationary points of a functional. They have significance in physics, providing a mathematical framework for classical mechanics and other areas. These equations involve taking derivatives of a functional, which allows for finding critical points. They have various applications in science and engineering, including optimal control theory and economics. While there is no general method for solving these equations, techniques such as variation of parameters and numerical methods can be used.
  • #1
EoinBrennan
12
0

Homework Statement



Hi. I am attempting to get the Euler-Lagrange equations of motion for the following Lagrangian:

L(ψ[itex]^{μ}[/itex]) = -[itex]\frac{1}{2}[/itex] ∂[itex]_{μ}[/itex] ψ[itex]^{\nu}[/itex] ∂[itex]^{μ}[/itex] ψ[itex]_{\nu}[/itex] + [itex]\frac{1}{2}[/itex] ∂[itex]_{μ}[/itex] ψ[itex]^{\mu}[/itex] ∂[itex]_{\nu}[/itex] ψ[itex]^{\nu}[/itex] + [itex]\frac{m^{2}}{2}[/itex] ψ[itex]_{\nu}[/itex] ψ[itex]^{\nu}[/itex]

Homework Equations



So, I want to get [itex]\frac{∂}{∂(∂_{\mu}ψ)}[/itex] (L). My issue is that I'm not sure how this interacts with the [itex]∂^{\mu}[/itex] term.

The Attempt at a Solution



I think that it's probably one of these things.

Either [itex]∂^{\mu} ψ_{\nu}[/itex] is treated as independent to [itex]∂_{\mu} ψ^{\nu}[/itex] , i.e. [itex]\frac{∂}{∂(∂_{\mu}ψ)}[/itex] ([itex]∂^{\mu} ψ_{\nu} a[/itex]) = 0, or it is derived as -1 times the derivative of [itex]∂_{\mu} ψ^{\nu}[/itex], i.e. [itex]\frac{∂}{∂(∂_{\mu}ψ)}[/itex] ([itex]∂^{\mu} ψ_{\nu} a[/itex]) = -a.

Any help on how to get this Euler-Lagrange would be really appreciated.

Cheers.
 
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  • #2
Here's how I think about this--it's a bit ugly, though, so somebody else can chime in if there's a better way.

Consider the simpler case [itex]\mathcal{L} = \frac{1}{2}\partial_\mu\phi\partial^\mu\phi[/itex]. In this case, [itex]\frac{1}{2}\partial_\mu\phi\partial^\mu\phi = \frac{1}{2}g^{\mu\nu}\partial_\mu\phi\partial_\nu \phi[/itex]. Now, since the metric is diagonal, the only terms you really care about are the ones where [itex]\mu=\nu[/itex], so you can write this in a somewhat kooky way as [itex]\frac{1}{2}g^{\mu\mu}\partial_\mu\phi\partial_\mu \phi = \frac{1}{2}g^{\mu\mu}(\partial_\mu\phi)^2[/itex]. This makes sense intuitively, because if you break out the original equation, it's the sum of only four terms, not the full 16, and they have the same signs as the ones implied by this equation.

Now the derivative is easy to perform: [itex]\frac{\partial}{\partial(\partial_\mu\phi)} \mathcal{L} = \frac{\partial}{\partial(\partial_\mu\phi)}\frac{1}{2}g^{\mu\mu}(\partial_\mu\phi)^2 = g^{\mu\mu}\partial_\mu\phi=\partial^\mu\phi[/itex], which is the right answer, because as part of the E-L equation you're going to take the derivative of that, which is [itex]\partial_\mu\partial^\mu\phi = \Box^2\phi[/itex] like you would expect.

I don't know if there's a cleaner way to do it than that, but it seems to work. You should be able to do something similar for your case where the field itself is a vector.
 
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  • #3
That's great! Thanks for the help!

I changed my Lagragian to be:

L([itex]\phi^{\mu}) = - \frac{1}{2} \partial_{\mu} g^{\mu \nu} g^{\mu \mu} \phi^{\mu} g^{\mu \mu} \partial_{\mu} g^{\mu \nu} \phi^{\mu} + \frac{1}{2} \partial_{\mu} \phi^{\mu} g^{\mu \nu} g^{\mu \mu} \partial_{\mu} g^{\mu \nu} g^{\mu \mu} \phi^{\mu} + \frac{m^{2}}{2} g^{\mu \mu} \phi^{\mu} \phi^{\mu}[/itex]

=[itex] - \frac{1}{2} g^{\mu \mu} g^{\mu \nu} g^{\mu \mu} g^{\mu \nu} \partial_{\mu} \phi^{\mu} \partial_{\mu} \phi^{\mu} + \frac{1}{2} g^{\mu \mu} g^{\mu \nu} g^{\mu \mu} g^{\mu \nu} \partial_{\mu} \phi^{\mu} \partial_{\mu} \phi^{\mu} + \frac{m^{2}}{2} g^{\mu \mu} \phi^{\mu} \phi^{\mu}[/itex]

=[itex] \frac{m^{2}}{2} g^{\mu \mu} (\phi^{\mu})^{2}[/itex]

I'm supposed to then show that this means that [itex]∂_{\mu} \phi^{\mu}[/itex] is 0, then find the canonical momenta. But the E-L equations of my Lagrangian above just gives me that [itex]m^{2} \phi_{\mu} = 0[/itex]. While this does give me my desired quality, it seems to trivialize the following questions, and this makes me think I have gone wrong somewhere.

As always, I will be incredibly grateful for any help.
 
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  • #4
Hmm, I guess that doesn't generalize to the vector case as easily as I thought it did. Oh well, when all else fails, you can always fall back on the underlying definitions of the tensor operations to figure this out. For your first term, you can expand it out as follows (for brevity's sake I'm going to pretend we're in 1+1 dimensional space instead of a 1+3 dimensional space, but the generalization is immediate):

[tex]\frac{1}{2}\partial_\mu\Psi^\nu\partial^\mu \Psi_\nu = \frac{1}{2}\partial_0\Psi^0\partial^0\Psi_0 + \frac{1}{2}\partial_0\Psi^1\partial^0\Psi_1 + \frac{1}{2}\partial_1\Psi^0\partial^1\Psi_0 + \frac{1}{2}\partial_1\Psi^1\partial^1\Psi_1\\
= \frac{1}{2}\partial_0\Psi^0\partial_0\Psi^0 - \frac{1}{2}\partial_0\Psi^1\partial_0\Psi^1 -\frac{1}{2}\partial_1\Psi^0\partial_1\Psi^0 + \frac{1}{2}\partial_1\Psi^1\partial_1\Psi^1\\
= \frac{1}{2}(\partial_0\Psi^0)^2 - \frac{1}{2}(\partial_0\Psi^1)^2 - \frac{1}{2}(\partial_1\Psi^0)^2 + \frac{1}{2}(\partial_1\Psi^1)^2
[/tex]

Now, break out the derivatives:
[tex]
\frac{\partial\mathcal{L}}{\partial(\partial_0 \Psi^0)} = \partial_0\Psi^0 = \partial^0\Psi_0\\
\frac{\partial\mathcal{L}}{\partial(\partial_0 \Psi^1)} = -\partial_0\Psi^1 = \partial^0\Psi_1\\
\frac{\partial\mathcal{L}}{\partial(\partial_1 \Psi^0)} = -\partial_1\Psi^0 = \partial^1\Psi_0\\
\frac{\partial\mathcal{L}}{\partial(\partial_1 \Psi^1)} = \partial_1\Psi^1 = \partial^1\Psi_1
[/tex]

So we can conclude that:
[tex]
\frac{\partial}{\partial(\partial_\mu \Psi^\nu)}\frac{1}{2}\partial_\mu\Psi^\nu\partial^\mu \Psi_\nu = \partial^\mu\Psi_\nu
[/tex]

You should be able to do the same thing for the other term in the Lagrangian, although you'll need to use integration by parts to flip the derivatives around to the other fields first (hopefully you've seen this trick used by now, if not I can show you how it's done.)

In general, it seems to be the case that if you are taking the derivative of something in a Lagrangian, you can treat the other half of the term as an independent variable and get the right answer, as long as you remember that you're taking the derivatives of quadratic forms, so a factor of 2 will come down. This seems sloppy and counterintuitive, since the other term isn't really independent, but it seems to give the right answer. So:

[tex]
\frac{\partial}{\partial(\partial_\mu \Psi^\nu)}\frac{1}{2}\partial_\mu\Psi^\nu\partial^\mu \Psi_\nu = \partial^\mu\Psi_\nu\\
\frac{\partial}{\partial(\partial_\mu \Psi^\nu)}\frac{1}{2}\partial_\mu\Psi^\nu\partial_\nu \Psi^\mu = \partial_\nu\Psi^\mu\\
\frac{\partial}{\partial\Psi^\nu}\frac{1}{2}m^2 \Psi^\nu\Psi_\nu = m^2 \Psi_\nu
[/tex]

You can use a similar bit of ad-hockery to minimize a complex field, by assuming that [itex]\Psi[/itex] and [itex]\Psi^*[/itex] are independent fields. I'm not sure how to prove rigorously that this insane-sounding thing actually works reliably, but in all of the cases I've seen it used so far, it appears to do the job.
 
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  • #5
I see.

So I would get the E-L equation to be:

[itex]-(∂_{\mu} ∂^{\mu} + m^{2}) ψ_{\nu} + ∂_{\mu} ∂_{\nu} ψ^{\nu} = 0[/itex]

The first bit is just the Klein Gordon equation. I'm supposed to be able to show that my E-L equation implies that [itex]∂_{\nu} ψ^{\nu} = 0[/itex].

Presumably I can't just claim that the Klein Gordon equation works here, implying [itex]∂_{\mu} ∂_{\nu} ψ^{\nu} = 0[/itex].

Thanks again, you've been a great help!
 
  • #6
EoinBrennan said:
I see.

So I would get the E-L equation to be:

[itex]-(∂_{\mu} ∂^{\mu} + m^{2}) ψ_{\nu} + ∂_{\mu} ∂_{\nu} ψ^{\nu} = 0[/itex]
Almost. Check your tensor indices in the second term.

EoinBrennan said:
The first bit is just the Klein Gordon equation. I'm supposed to be able to show that my E-L equation implies that [itex]∂_{\nu} ψ^{\nu} = 0[/itex].

Presumably I can't just claim that the Klein Gordon equation works here, implying [itex]∂_{\mu} ∂_{\nu} ψ^{\nu} = 0[/itex].
Now that you mention it, the arguments I've heard for this do basically boil down to "well, we want [itex]\psi[/itex] to be a solution to the Klein-Gordon equation, so for that to work we need [itex]\partial_\mu \psi^\mu=0[/itex]." I'm not sure if there's some more rigorous argument that can be made to show that there are no possible solution for the equation in the presence of that term, but it's certainly the case that there are no solutions which are also solutions to the free Klein-Gordon equation unless the four-divergence vanishes, so perhaps that's rigorous enough.
 

FAQ: Euler-Lagrange Equations and Derivatives

What are Euler-Lagrange equations?

Euler-Lagrange equations are a set of differential equations that are used to determine the stationary points of a functional. They are commonly used in the field of calculus of variations and are named after the mathematicians Leonhard Euler and Joseph-Louis Lagrange.

What is the significance of Euler-Lagrange equations in physics?

Euler-Lagrange equations are essential in the field of classical mechanics and are used to derive the equations of motion for a physical system. They provide a mathematical framework for understanding the behavior of physical systems and are fundamental in various areas of physics, including optics, electromagnetism, and quantum mechanics.

How are Euler-Lagrange equations related to derivatives?

Euler-Lagrange equations involve taking derivatives of a functional, which is a mathematical object that maps a set of functions to a scalar value. The derivatives allow us to find the critical points of the functional, which correspond to the solutions of the Euler-Lagrange equations.

What are some applications of Euler-Lagrange equations?

Euler-Lagrange equations have a wide range of applications in various fields of science and engineering. They are used in optimal control theory, robotics, computer vision, and image processing. They are also used in economics and finance to model and analyze complex systems.

How can I solve Euler-Lagrange equations?

There is no general method for solving Euler-Lagrange equations, as the approach varies depending on the specific functional being considered. However, some techniques, such as the method of variation of parameters and the calculus of variations, can be used to solve certain types of Euler-Lagrange equations. It is also common to use numerical methods, such as finite difference or finite element methods, to approximate solutions to these equations.

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