Showing that the euler lagrange equations are coordinate independent

AI Thread Summary
The discussion focuses on the derivation of the Euler-Lagrange equations' form invariance under coordinate transformations. It begins with the relationship between derivatives of the Lagrangian in Cartesian coordinates and arbitrary coordinates, emphasizing the use of the chain rule and the product rule. A key point raised is the need to include contributions from both position and velocity derivatives when transforming coordinates. The conversation highlights a mistake in neglecting the second term in the derivative of the Lagrangian, which leads to an incomplete expression. Overall, the importance of careful application of calculus in the context of Lagrangian mechanics is underscored.
demonelite123
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so i know for example that d/dt (∂L/∂x*i) = ∂L/∂xi for cartesian coordinates, where xi is the ith coordinate in Rn and x*i is the derivative of the ith coordinate xi with respect to time. L represents the lagrangian.

so using an arbitrary change of coordinates, qi = qi(x1, x2, ..., xn)

i have that ∂L/∂x_i = ∂L/∂qi * ∂q_i/∂x_i and that ∂L/∂x*i = ∂L/∂q*i * ∂q*i/∂x*i and substituting i get:

d/dt(∂L/∂q*i * ∂q*i/∂x*i) = ∂L/∂qi * ∂qi/∂xi and using the product rule i get:

d/dt(∂L/∂q*i) * ∂q*i/∂x*i+ ∂L/∂q*i * d/dt(∂q*i/∂x*i) = ∂L/∂qi* ∂qi/∂xi

using the fact that ∂q*i/∂x*i = ∂qi/∂xi,

d/dt(∂L/∂q*i) * ∂qi/∂xi + ∂L/∂q*i * d/dt(∂qi/∂xi) = d/dt(∂L/∂q*i) * ∂qi/∂xi + ∂L/∂q*i * (∂q*i/∂xi) = d/dt(∂L/∂q*i) * ∂qi/∂xi+ ∂L/∂xi = ∂L/∂qi * ∂qi/∂xi.

if i didn't have that ∂L/∂xi on the left side then i could just cancel out the ∂qi/∂xi on both sides and i would be done. have i made a mistake somewhere or am i missing something? thanks.
 
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Why don't you use the nice LaTeX functionality of this forum? It's really hard to read, what you have written. So I don't want to decipher it.

Here is my derivation of the form invariance of the EL equations under coordinate changes (diffeomorphisms). Let x^j(q) denote the transformation with j \in \{1,\ldots,f \}. Further q=(q^k)_{k \in \{1,\ldots, f\}}.

First of all we need an auxilliary equation for the time derivatives. From the chain rule we have

\dot{x}^j=\frac{\partial x^j}{\partial q^k} \dot{q}^k.

Here and in the following I use Einstein's summation convention, according to which one has to sum over any pair of repeated indices. From this equation we see

\frac{\partial \dot{x}^j}{\partial \dot{q}^k}=\frac{\partial x^j}{\partial q^k}. \quad (1)

Now we have

\frac{\partial L}{\partial q^k}=\frac{\partial L}{\partial x^j} \frac{\partial x_j}{\partial q_k} + \frac{\partial L}{\partial \dot{x}^j} \frac{\partial \dot{x}^j}{\partial q^j} \quad (2)

and

\frac{\partial L}{\partial \dot{q}^k}=\frac{\partial L}{\partial \dot{x}^j} \frac{\partial \dot{x}^j}{\partial \dot{q}^k} \stackrel{(1)}{=}\frac{\partial L}{\partial \dot{x}^j} \frac{\partial x^j}{\partial q^k}.

Taking the time derivative of this, we find

\frac{\mathrm{d}}{\mathrm{d} t} \frac{\partial L}{\partial \dot{q}^k} = \frac{\mathrm{d}}{\mathrm{d} t} \frac{\partial L}{\partial \dot{x}^j} \cdot \frac{\partial x^j}{\partial q^k} + \frac{\partial L}{\partial \dot{x}^j} \frac{\mathrm{d}}{\mathrm{d} t} \left (\frac{\partial x^j}{\partial q^k} \right). \quad (3)

Now we obviously have

\frac{\mathrm{d}}{\mathrm{d} t} \left (\frac{\partial x^j}{\partial q^k} \right) = \frac{\partial \dot{x}^k}{\partial q^k}, \quad (4)

and thus, if the EL equation are valid wrt. the coordinates, x^k they are also valid wrt. to the coordinates, q^j, which can be seen by comparing (2) and (3) and making use of (4) and the EL equation wrt. x^k.
 
demonelite123 said:
i have that ∂L/∂x_i = ∂L/∂qi * ∂q_i/∂x_i

This is one of the mistakes. Instead, write:

\frac{\partial L}{\partial x_i}=\sum_j \frac{\partial L}{\partial q_j}\frac{\partial q_j}{\partial x_i}+\sum_j \frac{\partial L}{\partial \dot{q}_j}\frac{\partial \dot{q}_j}{\partial x_i}

You fergot the second piece. Remember:

q_j=q_j(x_1,\dots,x_n)
\dot{q}_j=\sum_k\frac{\partial q_j}{\partial x_k}\dot{x}_k

so

\frac{\partial\dot{q}_j}{\partial x_i}=\frac{\partial^2 q_j}{\partial x_i\partial x_k}\dot{x}_k
 
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