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Physics LibreTexts

2.3: General Method for the Minimization Problem

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To emphasize the generality of the method, we’ll just write

J[y]=x2x1f(y,y)dx(y=dy/dx)

Then under any infinitesimal variation δy(x) (equal to zero at the fixed endpoints)

δJ[y]=x2x1[f(y,y)yδy(x)+f(y,y)yδy(x)]dx=0

To make further progress, we write δy=δ(dy/dx)=(d/dx)δy, then integrate the second term by parts, remembering δy=0 at the endpoints, to get

δJ[y]=x2x1[f(y,y)yddx(f(y,y)y)]δy(x)dx=0

Since this is true for any infinitesimal variation, we can choose a variation which is only nonzero near one point in the interval, and deduce that

f(y,y)yddx(f(y,y)y)=0

This general result is called the Euler-Lagrange equation. It’s very important—you’ll be seeing it again.


This page titled 2.3: General Method for the Minimization Problem is shared under a not declared license and was authored, remixed, and/or curated by Michael Fowler.

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