Using the dual pairing between and , a monotone operator satisfies
A nonlinear coercive operator with respect to satisfies
The directional derivative is , when this finite limit exists through admissible points. At a boundary point of only an inward direction may be admissible; then one uses the corresponding one-sided limit.
If is monotone and , apply its defining inequality at and . It becomes , so is nondecreasing. Conversely choose , . Nondecrease from zero to one gives . This proves the line criterion for a monotone operator.
The graph area functional is finite on , since and has finite volume. For , , the difference quotient of is bounded in absolute value by . This is integrable by the Cauchy-Schwarz inequality. The dominated convergence theorem therefore gives
This defines a bounded linear functional of , since .
For the Jacobian matrix is
The inequality follows from the Cauchy-Schwarz inequality. Integrating this derivative along the segment between any two gradients shows . Integrating over proves that is a monotone operator.
It is not coercive on . The constant functions satisfy but . Thus .
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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