Complexity of flows with interactions and stochastic analysis

We study stochastic flows with interaction through an infinite-dimensional semigroup approach.By means of a kernel lifting procedure, we represent the solution to measure-valued stochastic equation as a Hilbert-valued Markov process. We identify its generator, construct the associated Markov semigroup, and establish a dense range condition using measure polynomial functionals. The results provide a framework for the analysis of stability of stochastic equations with interaction.