For a class of random dynamical systems which describe dissipative nonlinear PDEs perturbed by a bounded random kick-force, I propose a “direct proof” of the uniqueness of the stationary measure and exponential convergence of solutions to this measure, by showing that the transfer-operator, acting in the space of probability measures given the Kantorovich metric, defines a contraction of this space.
@article{JEDP_2001____A9_0, author = {Kuksin, Sergei B.}, title = {On exponential convergence to a stationary measure for a class of random dynamical systems}, journal = {Journ\'ees \'equations aux d\'eriv\'ees partielles}, year = {2001}, pages = {1-10}, doi = {10.5802/jedp.593}, mrnumber = {1843410}, zbl = {01808685}, language = {en}, url = {http://dml.mathdoc.fr/item/JEDP_2001____A9_0} }
Kuksin, Sergei B. On exponential convergence to a stationary measure for a class of random dynamical systems. Journées équations aux dérivées partielles, (2001), pp. 1-10. doi : 10.5802/jedp.593. http://gdmltest.u-ga.fr/item/JEDP_2001____A9_0/
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