For a sufficiently smooth functional , the first variation in direction is . Twice applying integration by parts gives the interior coefficient and boundary expression . Variations supported in the interior and the fundamental lemma of the calculus of variations force the displayed equation. The remaining boundary terms give the natural boundary conditions for second-derivative functionals.
With values and , the higher-order Euler-Lagrange equation is . Write and . Solving the four linear boundary equations gives . The added function does not affect the first variation.
For a smooth functional , let and . Along an extremal, the Euler-Lagrange equation for a second-derivative functional is . Differentiating by the chain rule givesConsequently is constant whenever has no explicit dependence on . This extends the Beltrami identity to a second-derivative variational problem. If is independent of , the expression reduces to .
At an endpoint of a second-derivative variational problem, a free value gives the first displayed condition, while a free slope gives the second. Each condition is required only when its corresponding endpoint variation is free; a prescribed value or slope instead forces that variation to vanish. For , the two conditions become and , respectively. A clamped beam has both value and slope fixed, a pinned beam fixes value but leaves slope free, and a free end leaves both free.
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