Symmetry implies that all eigenvalues of lie between and , so . In particular the bilinear form from part (i) is bounded and symmetric under the printed assumptions. The symmetric elliptic Dirichlet energy with a nonpositive potential is
All its terms are finite. For an admissible variation , its first variation is . Thus stationarity is exactly the weak formulation of .
Here is the direct method in the calculus of variations. Put . Expanding the symmetric quadratic form gives
The Poincaré inequality controls by . Therefore is bounded below on the admissible class, and a minimizing sequence is bounded in . By weak compactness in this reflexive Banach space, a subsequence converges weakly to . The affine closed subspace is weakly closed, so remains admissible.
The symmetric square root is measurable and bounded. Since , the two bounded linear maps
take weak convergence to weak convergence. The weak lower semicontinuity of the Hilbert norm shows that is weakly lower semicontinuous. The term is weakly continuous. Hence and attains the minimum. Varying in either sign yields the weak equation.
The sign was used both to make the potential energy nonnegative, hence weakly lower semicontinuous by this argument, and to obtain coercivity. Finally for , since the first variation at vanishes. Therefore
First use weak compactness of bounded sets in the Hilbert space to pass to a subsequence with globally in . The weak lower semicontinuity of the Hilbert norm gives . This global step also applies if is unbounded.
Choose a nested exhaustion by bounded smooth open sets. Part (i) bounds in for every . By the Rellich-Kondrachov compactness theorem, embeds compactly in . Weak compactness in and a diagonal subsequence argument therefore give, for the same subsequence,
The local limit agrees with the global weak limit. Using smooth exhaustion sets avoids imposing any unprinted boundary regularity on a general .
For a smooth compactly supported test function, the weak equation passes to the limit: the fixed bounded coefficients multiply fixed test functions, and local weak gradient convergence handles both the principal and drift terms. The zeroth-order term passes by local convergence. Thus weakly, , and the global bound already proved gives .
To improve convergence of the gradients, put . Crucially the forcing is the same for all , so . Given , choose with . Apply part (i) on to the homogeneous equation for :
This establishes strong local Sobolev compactness for a fixed elliptic equation and proves
Choose continuous representatives using Morrey's inequality. On the closed unit ball they are uniformly bounded by and satisfy
The Arzelà-Ascoli theorem therefore gives a uniformly convergent subsequence with a continuous limit. For , use the uniform Lipschitz estimate instead; this part remains valid at that endpoint.
For weak lower semicontinuity of the Hilbert norm, weak convergence gives , and hence
Taking the lower limit proves .
For the nonlinear integral, use local Sobolev compactness gives lower semicontinuity of a nonnegative integral. Select a subsequence attaining the lower limit of the integrals. The Rellich-Kondrachov compactness theorem on successively larger balls gives a diagonal subsequence converging strongly in local L2 space to . After a further subsequence it converges almost everywhere. Since , the Fatou lemma gives
Each integral is finite because . The argument uses local compactness rather than convexity: is not a convex function on the whole real line.
Take the weak topology on the reflexive Banach space . A bounded linear operator is weak-to-weak continuous: implies for every , by its adjoint operator. The weak lower semicontinuity of the Hilbert norm therefore makes weakly sequentially lower semicontinuous.
This functional is finite everywhere and nonnegative. If it has coercivity, the direct method in the calculus of variations supplies a global minimizer . Squaring the residual does not change its global minimizers. Here the adjoint operator has codomain , since the source is a Banach space. Differentiating the squared residual along every real direction gives in the dual pairing, hence the normal equation for a linear inverse problem . Hence
The converse fails. For , , and , the datum is in the operator range, but while . Thus admissible data do not imply coercivity of the residual; an unpenalized null space already prevents it.
If , the claim is immediate. Otherwise weak convergence gives
By Cauchy-Schwarz,
Taking the lower limit and dividing by proves the weak lower semicontinuity of the Hilbert norm:
The second estimate in part (a) bounds in . The periodic Poisson equation and the supplied curl identity then bound in and in . After passing to a subsequence,
The Rellich-Kondrachov compactness theorem also gives strong convergence in the corresponding spaces with one fewer derivative. In particular, in and in , so
Passing to the limit in the Galerkin equations gives
These identities have the claimed Sobolev regularity, and the first holds in . Finally, the weak lower semicontinuity of the Hilbert norm preserves the estimates