Prove F=-grad(U): Euler-Lagrange Equation Theorem

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In summary: From there, it should be easy to show that F=-gradU.In summary, a proof that F=-grad(U) was derived using the Euler-Lagrange equation. The proof is not ground-breaking, and could be improved by showing more familiarity with classical mechanics.
  • #1
adartsesirhc
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Hi, all. A friend challenged me to prove that F = -grad(U), and now that I did, I'm thinking of submitting it to the university I'm applying to. Before I do so, I want to see if this is right.

Theorem: For a particle in a conservative force field, F = -grad(U).

Proof: In a conservative force field, the potential energy is depends only on the coordinates of the particle, and not on its velocity. Using the Euler-Lagrange equation,

[tex]\frac{\partial L}{\partial x_{i}} - \frac{d}{dt} \frac{\partial L}{\partial \dot{x}_{i}} = 0[/tex]

[tex]\frac{\partial}{\partial x_{i}}[T(\dot{x}_{i}) - U(x_{i})] - \frac{d}{dt} \frac{\partial}{\partial \dot{x}_{i}}[T(\dot{x}_{i}) - U(x_{i})] = 0[/tex]

[tex]\frac{\partial U}{\partial x_{i}} + \frac{d}{dt} \frac{\partial T}{\partial \dot{x}_{i}} = 0[/tex]

[tex]\frac{\partial U}{\partial x_{i}} + \frac{d}{dt} \frac{\partial}{\partial \dot{x}_{i}}(\frac{1}{2} m \sum \dot{x}_{i}^{2}) = 0[/tex]

[tex]\frac{\partial U}{\partial x_{i}} + \frac{d}{dt} m\dot{x}_{i} = 0[/tex]

[tex]\frac{\partial U}{\partial x_{i}} = - m\ddot{x}_{i} = -F_{i}[/tex]

[tex]\textbf{F} = -\nabla \textbf{U}.[/tex] QED.

Does this seem like a good proof?

One thing that I'm worried about is if I overlooked that F = -grad(U) is actually a requirement for the Euler-Lagrange equation to work, and that through this "proof" I might just be making a redundant statement that really doesn't prove anything. Please tell me this isn't true.

Also, is there anything I can do to make it cleaner or more professional? Thanks!
 
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  • #2
Hmm I have always thought that the Euler-Lagrange equations can be derived using [tex]F=\dot{p}=-\nabla U[/tex], albeit a little crudely. The way I remember seeing it goes something like this, with the same assumption of a curlless field,

For one dimension,

[tex]
\dot{p} = -\frac{\partial U}{\partial x}
[/tex]

Since L = T - U, and only T and U have explicit dependence on dx/dt and x respectively, then it is correct to say that

[tex]\dot{p}=\frac{\partial L}{\partial x}[/tex]

[tex]\because \frac{\partial T}{\partial\dot{x}} = \frac{\partial}{\partial\dot{x}}(\frac12m\dot{x}^2)=m\dot{x}=p,[/tex]

[tex]\frac{d}{dt}\frac{\partial T}{\partial\dot{x}}=\frac{\partial L}{\partial x}[/tex]

[tex]\frac{d}{dt}\frac{\partial L}{\partial\dot{x}}=\frac{\partial L}{\partial x}[/tex]

QED

This I think is essentially your proof in reverse.
 
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  • #3
The potential energy is originally introduced by
[tex]\Delta U=-\int{\bf F}\cdot{\bf dr}[/tex]
from which F=-grad U follows in one step.
Your proof just verifies that the Lagrangian includes this necessary feature.
 
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  • #4
adartsesirhc said:
Also, is there anything I can do to make it cleaner or more professional? Thanks!

I think what you have is fine. But, is not anything ground-breaking. It does show that you are familiar with the formalism of Lagrangians and partial derivatives and how to apply them, etc. And that's good if you are applying to a university.

Proofs that the Lagrangian formulation of mechanics and Newton's laws are equivalent under certain circumstances are given in many textbooks, so if you want to make your proof look more professional you could go get a classical mechanics textbook from the library and have a look through.
 
  • #5
Yeah, I know it's definitely not new - it's probably been done since Lagrange's time - but one of my teachers recommended showing it to the admissions office.

I have noticed a couple of mistakes, though. First, the [tex]U[/tex] in the last line shouldn't be a vector - potential energy is a scalar quantity, and either way, the gradient of a vector is wrong. Also, when I wrote out the summation in the fourth line, I used [tex]i[/tex] as the index of summation. I think this is wrong, since I'm using it as the index for [tex]x[/tex]. Should I use a different index?

hyperon, that's interesting. I had never seen the Euler-Lagrange equations derived that way - I usually see it through Hamilton's Principle and the calculus of variations.
 
  • #6
adartsesirhc said:
One thing that I'm worried about is if I overlooked that F = -grad(U) is actually a requirement for the Euler-Lagrange equation to work, and that through this "proof" I might just be making a redundant statement that really doesn't prove anything. Please tell me this isn't true.

As hyperon pointed out, in a mathematically consistent framework, the choice of assumptions and derived statements is a matter of taste. But since it is a matter of taste, I think it is reasonable to derive F=-gradU, if the "forces" are not functions of "velocities", provided the assumptions are clearly stated, and F=-gradU is not stated as an assumption.

Perhaps you should start from a slightly more general form of Lagrange's equation which can handle both conservative and non-conservative forces. Then show that they reduce to the form of Lagrange's equation you started from, if the "forces" are not functions of "velocities".

Take a look at lectures 9 and 10 of How's and Deyst's Aerospace Dynamics lectures:
http://ocw.mit.edu/OcwWeb/Aeronautics-and-Astronautics/16-61Aerospace-DynamicsSpring2003/LectureNotes/

Another way might be to start from Newton's laws, go through the work-kinetic-energy theorem, and define a "conservative force" to be one in which the work done is path independent.
 
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What is the significance of the Euler-Lagrange Equation Theorem in physics?

The Euler-Lagrange Equation Theorem is an important tool in physics for solving problems involving the motion of particles or systems. It allows us to determine the equations of motion for a given system by minimizing a specific function called the action.

How does the Euler-Lagrange Equation relate to the conservation of energy?

The Euler-Lagrange Equation is derived from the principle of least action, which states that the true path of a particle or system in motion is the one that minimizes the action. Since the action is a function of energy and time, minimizing it also leads to the conservation of energy.

Why is the Euler-Lagrange Equation important in quantum mechanics?

In quantum mechanics, the path of a particle is described by a wave function, which can be represented as a sum of all possible paths. The Euler-Lagrange Equation can be used to determine which path is the most probable, allowing us to make predictions about the behavior of quantum systems.

Can the Euler-Lagrange Equation be applied to systems with multiple particles?

Yes, the Euler-Lagrange Equation can be applied to systems with multiple particles. In these cases, the action is calculated as a sum of the actions for each individual particle, and the equations of motion are derived by minimizing this total action.

What are some real-world applications of the Euler-Lagrange Equation Theorem?

The Euler-Lagrange Equation has many practical applications in fields such as classical mechanics, quantum mechanics, and control theory. It is used to solve problems involving the motion of particles, optimization of systems, and control of dynamic systems. It is also used in the development of mathematical models for physical phenomena.

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