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 .
Let and . For a smooth variation , the first variation isHere the last expression follows by two integrations by parts. Taking variations supported in the interior and applying the fundamental lemma of the calculus of variations gives the Euler-Lagrange equation for a second-derivative functional:If both endpoint values and slopes are free, their independent variations force the natural boundary conditions for second-derivative functionalsIf an endpoint value or slope is fixed instead, its corresponding variation vanishes and the associated natural condition is not required.
For , differentiate using the chain rule:The Euler-Lagrange equation cancels the first term. Consequently , and if there is no explicit dependence,This is a Beltrami identity for a second-derivative functional.
Let and . For a smooth variation , the first variation isHere the last expression follows by two integrations by parts. Taking variations supported in the interior and applying the fundamental lemma of the calculus of variations gives the Euler-Lagrange equation for a second-derivative functional:If both endpoint values and slopes are free, their independent variations force the natural boundary conditions for second-derivative functionalsIf an endpoint value or slope is fixed instead, its corresponding variation vanishes and the associated natural condition is not required.
For , differentiate using the chain rule:The Euler-Lagrange equation cancels the first term. Consequently , and if there is no explicit dependence,This is a Beltrami identity for a second-derivative functional.
Take a smooth variation . Differentiating the functional at zero gives the first variationIntegrate the second term once and the third term twice by integration by parts:Choose variations supported away from the endpoints. Stationarity and the fundamental lemma of the calculus of variations forceThis is the Euler-Lagrange equation for a second-derivative functional. With the interior equation imposed, the remaining boundary expression must vanish for every admissible variation.
At each endpoint, a freely varying value requires , and a freely varying slope requires . A fixed value or slope instead makes its corresponding variation zero and supplies no natural condition for that variable. These are the natural boundary conditions for second-derivative functionals, with the value and slope variations treated independently.
Here , , and . The Euler-Lagrange equation for a second-derivative functional is thereforeWrite . After imposing the clamped conditions at zero, the general solution isFree right endpoint. Both endpoint variations are free, so the natural boundary conditions for second-derivative functionals give . Since and , they give , . HenceRight endpoint with fixed height and free slope. Now is imposed, while the free slope gives . These equations yield and , soBoth endpoints clamped. The right conditions are , giving , . ThusEach formula has fourth derivative and satisfies all four boundary conditions of its case. The three endpoint choices therefore change the integration constants, not the interior differential equation.
Elastic beam deflections under three right-end boundary conditions
. Original dimensionless plots of the three quartic solutions. Each beam is clamped horizontally at the left. Requiring the right height, then the right slope as well, progressively restricts the admissible deflections. Details.