Euler–Lagrange equation
Statement
Let be a functional on curves with fixed endpoints. A curve is a stationary point of (in particular, if it minimizes or maximizes ) if and only if it satisfies, for each coordinate , .
Why is it true?
Among all the paths a system could conceivably follow between two fixed events, the one nature actually takes is the one that makes the 'action' insensitive to small wiggles — nudging the path slightly in any direction, to first order, changes the action not at all. The Euler–Lagrange equation is exactly the local, pointwise condition that guarantees no such nudge can lower or raise the action, turning the global search over all paths into a differential equation you can solve step by step.
Proof sketch
Consider a variation with . Stationarity means for every such . Differentiating under the integral gives ; integrating the second term by parts (the boundary terms vanish since ) gives . Since is arbitrary, the fundamental lemma of the calculus of variations forces the bracketed expression to vanish identically, which is the Euler–Lagrange equation.
Proved by
Topics that use this theorem
Related theorems
Step-by-step proofs
No step-by-step proof yet for this theorem.
References
- I. M. Gelfand, S. V. Fomin (1963). Calculus of Variations
- Herbert Goldstein, Charles P. Poole, John L. Safko (2002). Classical Mechanics