For a sufficiently regular solution, put , with the Laplacian. Then and . The zero Dirichlet boundary conditions on and become zero Dirichlet boundary conditions on and . Conversely, eliminating from these two equations recovers the fourth-order equation with the biharmonic operator. For the weak solution we will construct, these interior identities hold as distributional identities; zero Sobolev traces are imposed on and , without assuming classical fourth derivatives of .
Let , the Cartesian product of two zero-boundary Sobolev spaces, with normThis is a Hilbert space. Applying integration by parts separately to the two equations gives the weak formulationEquivalently, for and , define the bilinear form and linear functionalWe seek with for every .
The skew-coupled elliptic system has a useful bounded bilinear form estimate with constant one. Indeed, write the integrand as the dot product of and . The Cauchy-Schwarz inequality givesFor equal arguments, the two zeroth-order coupling terms cancel. If is the constant in the supplied Poincaré inequality, thenThus is a coercive bilinear form, although it is not a symmetric bilinear form. The Lax-Milgram theorem applies and yieldsIn particular, . Testing with compactly supported smooth test functions identifies and as distributional identities. This gives the asserted relation to the original boundary value problem at the available regularity.
Take . The Galerkin method asks for such thatSince a finite-dimensional subspace is closed, is itself a Hilbert space. The bounded bilinear form and coercive bilinear form estimates in part (a) restrict to with the same constants. The Lax-Milgram theorem therefore gives exactly one for every .
Put . Subtracting the continuous and discrete weak formulations gives Galerkin orthogonality:For any , the difference also belongs to , soThe last step uses the constant-one Cauchy-Schwarz inequality estimate from part (a). Bounding the four terms separately by a sum would obscure the precise constant requested here.
The two minimization problems over and are independent. Each has a best approximation because its vector subspace is finite-dimensional. Consequently, ifthen the preceding inequality gives exactlyBoth errors belong to the zero-boundary Sobolev space. Applying the Poincaré inequality componentwise now yieldsWhen the desired estimate is automatic; otherwise divide by the nonzero norm. ThusThe constant is independent of . This is the Céa lemma estimate for this particular skew-coupled elliptic system.
Use the continuous piecewise-linear nodal interpolants and on the shape-regular mesh. Since in two dimensions, the Sobolev embedding theorem supplies continuous representatives, so the nodal values are well-defined. Their zero Sobolev traces imply zero boundary nodal values. Hence and for the usual full conforming finite element spaces.
The permitted finite element interpolation estimates give constants determined by the shape regularity and , independent of , such thatSubstitute these choices in the best approximation bound from part (b):For fixed , this constant is independent of . A shape-regular mesh suffices; no uniformity of the individual element sizes is needed, since is their maximum diameter.
The inclusion of these interpolants is an essential assumption. If the wording “consist of” were read as permitting arbitrary smaller vector subspaces, taking for every would prevent the claimed convergence for a nonzero solution. The full conforming finite element space interpretation is also needed for the dimension assertion in part (d).
Let be the interior nodes, and let be the nodal basis of the common conforming finite element space, with and zero boundary values. These piecewise-linear hat functions give the expansionsTesting the first equation with and then the second equation with gives the linear systemHere is the diffusion stiffness matrix and the mass matrix. Their entries are symmetric in , so both are symmetric matrices.
For , put . The two quadratic forms areIf , the linear independence of the basis ensures , so . If , the Poincaré inequality and zero Dirichlet boundary condition force , contradicting . Thus both and are positive-definite matrices.
For , symmetry of cancels the cross terms:ThereforeThis is the positivity of a quadratic form intended by the last sentence of the question. For , is a nonsymmetric matrix, since . Under the convention that “positive-definite matrix” includes symmetry, that last sentence needs this qualification: the symmetric part of a matrix is positive definite. The quadratic lower bound for a nonsymmetric matrix still implies that is an invertible matrix: would give , hence .
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