Showing that the euler lagrange equations are coordinate independent

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The discussion centers on the coordinate independence of the Euler-Lagrange equations, specifically examining the transformation of coordinates from Cartesian to arbitrary coordinates. Participants derive relationships between the Lagrangian \( L \), coordinates \( x_i \), and their derivatives, utilizing the chain rule and Einstein's summation convention. Key equations include \( \frac{\partial L}{\partial q^k} = \frac{\partial L}{\partial x^j} \frac{\partial x_j}{\partial q_k} + \frac{\partial L}{\partial \dot{x}^j} \frac{\partial \dot{x}^j}{\partial q^k} \) and the time derivative of the Lagrangian with respect to generalized coordinates. The discussion highlights the necessity of including all derivative terms to maintain the validity of the equations under coordinate transformations.

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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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