The operator is well-defined in every dimension: gives
For fixed , its monotonicity condition is
Thus almost everywhere is sufficient. It is also necessary, by the positivity criterion for a scalar gradient form. Indeed, if the bounded coefficient is negative on a set of positive measure, choose a Lebesgue point with and a nonconstant compactly supported smooth . Set , supported inside . Then
contradicting monotonicity. Therefore . In particular it is not monotone for every : the admissible constant makes it the negative Dirichlet form.
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.

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