The space is the closure of in the Sobolev norm; membership imposes the homogeneous Dirichlet condition in the weak sense, without assuming that the boundary is smooth. A weak solution is an element of that space satisfyingRepeated indices are summed. The minus sign comes from integration by parts in the divergence equation. Boundedness of the coefficients, Hölder's inequality and density extend this identity to every . Symmetry permits interchanging the derivative indices in the left side.
Choose an upper ellipticity bound for the symmetric coefficient matrix, possible because its entries are bounded. ThenThe Poincaré inequality on a bounded open set for zero-boundary functions states . ConsequentlyThe symmetric positive bilinear form is therefore an inner product, and its square-root norm is equivalent to the usual Sobolev norm. Its triangle inequality follows from the Cauchy-Schwarz inequality for that inner product. completeness of in its original norm makes it a Hilbert space in the norm as well.
The linear functional is bounded, sinceThe Hilbert-space Riesz representation theorem states that every bounded linear functional is the inner product with a unique element. Applied in the inner product it gives a unique with for all , which is precisely the weak-solution identity. Alternatively uniqueness follows directly by testing the difference of two solutions with itself: . Thus .
The required functional, with the sign appropriate to a positive divergence operator, isIt is differentiable on , with . A critical point consequently satisfies the weak equation. We now prove existence by the direct method in the calculus of variations, rather than invoke the representation theorem again.
The ellipticity and Poincare estimates implyThus the infimum is finite and any minimizing sequence is bounded in the Sobolev norm. A bounded sequence in a Hilbert space has a weakly convergent subsequence; write in . The equivalent norm has the same continuous linear functionals and hence the same weak convergence. A Hilbert norm is Weak lower semicontinuity, giving . The term converges to because it is a bounded linear functional. ThereforeThe limit attains the infimum. Differentiating at its minimum, for every , gives . This produces the desired weak solution. Strict positivity of also makes the functional strictly convex, consistent with uniqueness.
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