Graph area functional 2026-10-31
This functional measures the surface area of the graph of a function. On a bounded domain it is finite for . Its directional derivative is , by the dominated convergence theorem, since the pointwise difference quotients are bounded by . The resulting dual-valued operator is monotone: the scalar integrand is convex and its gradient is . It is not a nonlinear coercive operator on the full space, since it vanishes on constant functions whose norms can tend to infinity.
Using the dual pairing, a monotone operator satisfies for all . It is a strongly monotone operator if some givesA nonlinear coercive operator with respect to satisfies as in .
Strong monotonicity, with , givesAfter division, the lower bound is , proving coercivity. Reflexivity and separability are not needed for this particular estimate.
Using the dual pairing between and , a monotone operator satisfiesA nonlinear coercive operator with respect to satisfiesThe 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.
Strongly monotone operator 2026-10-31
A map from a subset of a real Banach space to its continuous dual space is strongly monotone if the displayed inequality holds for every pair in its domain, with one constant . The brackets denote the dual pairing. This implies strict monotonicity for distinct arguments. Fixing and applying the dual norm inequality gives , so it is a nonlinear coercive operator with respect to .