How Is the Equation of Motion Derived from the Classical String Model?

Phymath
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Homework Statement



I'm starting QFT and many books I've started to read start with the introduction of a field in a classical string model

with a Lagrange equation

L(q,\dot{q}) = \sum[\frac{m}{2}\dot{q}_{j}^{2}-\frac{k}{2}(q_{j}-q_{j+1})^{2}]

the equation of motion becomes

m \ddot{q_j}-k(q_{j+1}-2q_j + q_{j-1}) = 0

my question is how do we get this equation of motion its a discrete derivative but I recognize this as the 3 point second derivative formula, but Lagrange formulation is only first order for the potential part

f'' = \frac{f(x+h)-2f(x)+f(x-h)}{h^2}

any help?
 
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If you remember from classical mechanics, the equations of motion formed from the Lagrangian will always give you n second order differential equations for a system with n degrees of freedom.

\frac{d}{dt}\left(\frac{\partial L}{\partial\dot{q}_i}\right) = \frac{\partial L}{\partial q_i}
 
I agree with you on that however the second order only appears on the

\frac{d}{dt}(\frac{\partial L}{\partial \dot{q_i}})

the potential term is only first order so how do I evaluate

\frac{\partial L}{\partial q_i} to give

<br /> \frac{\partial}{\partial q_i}(-\frac{k}{2}(q_{j}-q_{j+1})^{2}) = k(q_{j+1}-2q_j + q_{j-1})<br />
 
Phymath said:
how do I evaluate

\frac{\partial L}{\partial q_i} to give

<br /> \frac{\partial}{\partial q_i}(-\frac{k}{2}(q_{j}-q_{j+1})^{2}) = k(q_{j+1}-2q_j + q_{j-1})<br />

What do you get for

\frac{\partial L}{\partial q_i}

when

<br /> L = \sum_j \left[\frac{m}{2}\dot{q}_{j}^{2}-\frac{k}{2} \left(q_{j}-q_{j+1} \right)^{2} \right] ?<br />
 
i don't know that's exactly what I'm asking...

<br /> <br /> \frac{\partial L}{\partial q_j} = -k(q_j-q_{j+1}) (1-\frac{\partial}{\partial q_j}q_{j+1})<br /> <br />
 
Last edited by a moderator:
There are two terms that have q_j in them because of the sum. You are taking the derivative of:
\frac{\partial}{\partial q_i}(-\frac{k}{2}(q_{j}-q_{j+1})^{2}-\frac{k}{2}(q_{j-1}-q_{j})^{2})\equiv -k(q_{j}-q_{j+1})+k(q_{j-1}-q_{j}) \equiv k(q_{j-1}-2q_{j}+q_{j+1}).
I hope that helps
 
Phymath said:
i don't know that's exactly what I'm asking...

<br /> <br /> \frac{\partial L}{\partial q_j} = -k(q_j-q_{j+1}) (1-\frac{\partial}{\partial q_j}q_{j+1})<br /> <br />

Careful; in my post the derivative was with respect to i and the sum is over j. Let me expand on what badphysicist wrote. Use

\frac{\partial q_j}{\partial q_i} = \delta_{ij}.

For example, \partial x / \partial x = 1 and \partial y / \partial x = 0.

After differentiating, there is still a sum over j, i.e.,

\frac{\partial}{\partial q_i} \sum_j = \sum_j \frac{\partial}{\partial q_i},

but, because of the \delta's, all but a few terms will be zero.
 
Oh yeah, I see the typo I made. Here's the corrected version..
\frac{\partial}{\partial q_i}(-\frac{k}{2}(q_{i}-q_{i+1})^{2}-\frac{k}{2}(q_{i-1}-q_{i})^{2})\equiv -k(q_{i}-q_{i+1})+k(q_{i-1}-q_{j}) \equiv k(q_{i-1}-2q_{i}+q_{i+1})
 
thanks that definitely helps I didn't think of the sum thanks again
 
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