In dimension one, the Sobolev embedding theorem gives . Therefore
and, for fixed ,
Hence the operator is well-defined and monotone in one dimension.
In every dimension it is not well-defined on all of . We exhibit for which the purported pairing is infinite. Choose a ball compactly contained in , put , and multiply each following radial expression by a smooth cutoff function that equals one near .
For , set with . The local Sobolev norm is finite because
whereas
since .
For , take on a sufficiently small ball. With , the gradient integral is proportional to , while the weighted integral is proportional to . Its integral is finite because the area factor contributes exponential decay in . These singular functions have the indicated weak derivatives; deleting a small central ball and passing to the limit in integration by parts leaves no boundary term.
Thus need not be integrable in dimensions at least two. This is the squared Sobolev gradient counterexample. With the additional restriction , the form is well-defined and monotone in any dimension.
For a time-independent strictly positive Dirichlet realization of an elliptic operator and , the eigenfunction expansion
solves with homogeneous Dirichlet boundary conditions. For , every power times the exponential is bounded, so the series and all its time derivatives converge in all the Sobolev domains of powers of an elliptic Dirichlet operator. Elliptic regularity and the Sobolev embedding theorem give smoothness up to the spatial boundary for positive time. Parseval identity and the dominated convergence theorem give in as .
In dimensions at least two a function in the Sobolev space can have finite norm while . Localize the following radial examples with a smooth cutoff function in an interior ball. For , set , . Its gradient energy has radial exponent , but its weighted gradient energy has exponent . For , take near zero. Substituting makes the two gradient integrals proportional to and , respectively. The first converges and the second diverges. In dimension one the Sobolev embedding theorem gives , preventing this failure. These examples show why a nonnegative coefficient need not even define a bounded gradient form when only is assumed.
For a nonnegative weak solution of a homogeneous divergence-form elliptic equation on , , with symmetric measurable , set and . There is independent of such that
Test the equation with a cutoff times , first regularized or truncated, to get . Apply a fixed-domain Sobolev embedding theorem to and take the power. Keeping the constant inside that power is crucial for Moser iteration.