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Mathematics 18 Online
OpenStudy (kainui):

Peculiar choice of representation of action.

OpenStudy (kainui):

So just to get the stuff out of the way for those who don't know, \[S = \int_{t_a}^{t_b} L(\dot x, x, t) dt\] S is the action, and the Euler-Lagrange equation is: \[\frac{\partial L}{\partial x} - \frac{d}{dt} \left(\frac{\partial L}{\partial \dot x} \right) =0\] So now given \(L = \frac{m}{2} \dot x^2\), I am expected to show that: \[S= \frac{m}{2} \frac{(x_b-x_a)^2}{t_b-t_a}\] However I don't understand why this particular form is useful or important. The way I solve it, x is a function of t, so I end up with S as solely a function of t in the end. I can algebraically turn one into the other, but I feel like I've missed the point somehow.

OpenStudy (kainui):

My way of solving it is this: I solve the Euler-Lagrange equation since I have L to get: \[x(t) = \frac{C}{m}t + K\] so \[\int \frac{m}{2} (\frac{C}{m})^2 dt = \frac{C^2}{2m}(t_b-t_a)\] Similarly, just plugging in my x(t) into what they want, gives the same thing. Anywho, any kind of reasoning for why they want that special form would be nice.

OpenStudy (kainui):

My best guess is perhaps there's some cute way of solving this in general: \[\int_a^b (f'(x))^2 dx\]

OpenStudy (kainui):

for fun, gets us nowhere I think, \[\int (y')^2 dx = yy' -\int yy''dx\]

OpenStudy (irishboy123):

i was wondering why the form they want pops out more naturally (least i think it does) if we switch \(L(t, x, \dot x) \to \bar L (x, t, t') \) \(S = \dfrac{m}{2} ~ \int\limits_{x1}^{x2} \dfrac{1}{t'^2} ~ t' ~ dx = \dfrac{m}{2} ~ \int\limits_{x1}^{x2} \dfrac{1}{t'} ~ dx\) so applying the full E-L to this \(\dfrac{d}{dx } \left( -\dfrac{1}{t'^2} \right) = 0 \implies t' = const = alpha \) or \(t_2 - t_1 = \alpha (x_2 - x_1) \) so the action is \(S = \dfrac{m}{2} ~ \int\limits_{x1}^{x2} \dfrac{1}{\alpha} ~ dx = \dfrac{m}{2} ~ \dfrac{(x_2 - x_1)}{\alpha} = \dfrac{m}{2} ~ \dfrac{(x_2 - x_1)}{\frac{(t_2 - t_1)}{(x_2 - x_1)}} = \dots\) clutching at straws - the solution posted is totally by the book, and it's all swings and roundabouts - but, i think we are now guaranteed invariance in x rather than t. so wondering if this is to do with invariance itself? is that really telling us about conservation of linear momentum? dunno. @Michele_Laino

OpenStudy (kainui):

Fascinating I didn't think of that substitution flipping the dependence like that, cool! \[L(t,x(t),\tfrac{dx(t)}{dt}) = \bar L(x, t(x), \tfrac{dt(x)}{dx})\] Specifically I hadn't really considered this being useful in that way before, I had more only used this when thinking of taking derivatives of matrices of several functions to get inverses, but I guess these are like 1x1 matrices multiplied to make a 1x1 identity matrix xD \[\frac{dx(t)}{dt} *\frac{dt(x)}{dx} = 1\] Thanks, your comment about invariance is good too, it seems to fit better with the book I'm reading since I'm summing over paths which I hadn't really considered need to be invariant, while the time doesn't necessarily I think.

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