Let and use the clamped second-order Sobolev spaceHere weak derivatives up to order two are square integrable, with Sobolev norm . The boundary values are the continuous traces given by the Sobolev trace theorem, not arbitrary pointwise representatives. This space is the closure of , so it is a closed Hilbert space. The derivative boundary conditions are essential, and alone is insufficient.
Define the symmetric bilinear form and bounded linear functionalThen the variational problem isFor complex data replace by its sesquilinear version, take the real part of the forcing term and use absolute squares in ; the same argument applies.
Its first variation is . Thus stationary points satisfy for every , the weak formulation of a clamped fourth-order equation. For smooth coefficients and functions, twice integrating the highest term and once the middle term gives the differential equation, with all boundary terms zero because at both ends. With only the stated continuous coefficients, this manipulation is instead understood distributionally: compactly supported test functions give as a distribution. This avoids assuming nonexistent classical derivatives of or .
By the extreme value theorem, is strictly positive, and are bounded. The Cauchy-Schwarz inequality therefore givesFor completeness, the clamped interval derivative norm bound follows from and the one-dimensional Sobolev representative: integrate to recover , and then to recover . Applying Cauchy-Schwarz and integrating over an interval of length two givesConsequently . Nonnegativity of yields the precise coercive bilinear form boundThe Lax-Milgram theorem states that a bounded bilinear form on a real Hilbert space satisfying with represents every bounded linear functional uniquely: there is exactly one with for all . All of its hypotheses have now been verified on .
This weak solution is the unique global minimum, rather than merely a stationary point. The Ritz-Galerkin equivalence for a symmetric coercive form here is the exact identityIt is strictly positive for every nonzero . Conversely, a minimum has zero first variation in every direction, so it satisfies the same weak equation. Density of compactly supported test functions and boundedness of extend the distributional equation back to all test vectors. There is exactly one minimum, and it is exactly the clamped weak solution. No additional coefficient smoothness or classical fourth derivative is needed.
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