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We continued with variational problems, considering a special form for the functional which occurs frequently -- e.g. for time of flight or path length problems. In this form, the functional I is an integral between fixed x-endpoints a and b of an integrand F(f(x), f'(x), x) which depends on f and its first derivative f' only. (The integration measure is dx.) We calculated the first order variation of I explicitly, by Taylor expanding I about f(x) and integrating by parts. (The parts integration was possible because we recognized that f and f' could not be varied independently, that instead tex2html_wrap_inline37 .) We found that the first order variation tex2html_wrap_inline39 was given by the integral from a to b, with measure tex2html_wrap_inline45 , of the integrand tex2html_wrap_inline47 , along with a surface term tex2html_wrap_inline49 . Thus, if tex2html_wrap_inline51 is to vanish for all variations tex2html_wrap_inline53 , the quantity tex2html_wrap_inline55 must vanish at all interior points. This gives the Euler-Lagrange equation. (Special conditions may hold at the endpoints if the variations of f are not required to vanish there.)

So we see that the Euler-Lagrange equation can come from a variational principle. Particularly, if we take tex2html_wrap_inline59 -- a quantity known as the "action" S -- we obtain the Euler-Lagrange equation of mechanics from the following principle, which generates equations of motion equivalent to Newton II:

Hamilton's Principle:

A particle always follows a path x(t) between two fixed endpoints tex2html_wrap_inline65 , tex2html_wrap_inline67 that extremizes the action, tex2html_wrap_inline69 .

Hamilton's principle thus gives us a much easier, more elegant way of finding Newton II for a given physical system. It tells us that the classical motion x(t) is the one function x(t) that extremizes the action. It thus obeys the Euler-Lagrange equation, a differential equation for the motion x(t).

We then began considering how we might solve such an equation. We first set out to integrate the Euler-Lagrange equation to find a constant of the motion. We defined the "Jacobi integral" J by tex2html_wrap_inline79 . We then calculated the total derivative dJ/dx, using the chain rule to account for the implicit dependences of F on x through its dependences on f(x) and f'(x). We showed, invoking the Euler-Lagrange equation, that tex2html_wrap_inline91 . That is, the absolute, total, physical rate of change of J with respect to x (taking account of all implicit, or indirect, variations that propagate out through f and f' due to a change in x) equals minus the apparent rate of change of F with respect to x, considering only F's explicit dependence on x.

Thus, if F does not explicitly depend on x -- that is, if you can write F in terms of f and f' without the variable x appearing -- J must remain constant for all x. We have integrated our differential equation (Euler-Lagrange equation) to find a constant of the motion. Next time we will apply this method to solve a specific variational problem: on a sphere, find the shortest path between any two points.

-- KB




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Katherine Benson
Fri Oct 18 10:23:28 EDT 1996