MEASURE EVOLUTION FOR "STOCHASTIC FLOWS".

In this paper we study how σ-finite measures on ℝd evolve under a class of "stochastic flows" associated to stochastic differential equations with (resp. without) jumps in ℝd. First we show the related measure evolution processes are càdlàg (resp. continuous), strongly Markovian and weakly Fellerian. Then we extend the existing results on incompressibility in Harris [8] and Kunita [14], and prove strong Markov property of the process describing how compact subsets evolve under incompressible "stochastic flows" under a certain condition. [ABSTRACT FROM AUTHOR]