Measure–valued Processes and Stochastic Flows

This book discusses the systems of interacting particles evolving in the random media. The focus is on the study of both the finite subsystems motion and the flow, describing motion of all particles in the space. The integral characteristics of the system and mass distribution are also covered and results are illustrated with examples from turbulence theory, synchronization and DNA evolution.
Includes a new type of measured value Markov processes of constant mass.
Develops Mathematical tools to study measures and stochastic flows
Contains Examples drawn from turbulence theory, synchronization and DNA evolution and more.