Using the Fitzpatrick function, we characterize the solutions for different classes of deterministic and stochastic differential equations driven by maximal monotone operators (or in particular subdifferential operators) as the minimum point of a suitably chosen convex lower semicontinuous function. Such technique provides a new approach for the existence of the solutions for the considered equations.

Contact details are reproduced from the original publication and may be historical.

Aurel Rascanu

(1) Dept. of Mathematics, Al. I. Cuza University, Bd. Carol I 9-11, Iasi, Romania
(2) Mathematics Institute, Romanian Academy of Sciences, Bd. Carol I 8, Iasi, Romania

aurel.rascanu@uaic.ro

A. Rascanu, E. Rotenstein. “The Fitzpatrick Function - a Bridge between Convex Analysis and Multivalued Stochastic Differential Equations.” Journal of Convex Analysis 18 (2011), No. 1, 105–138.