Flows, coalescence and noise

137Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

Abstract

We are interested in stationary "fluid" random evolutions with independent increments. Under some mild assumptions, we show they are solutions of a stochastic differential equation (SDE). There are situations where these evolutions are not described by flows of diffeomorphisms, but by coalescing flows or by flows of probability kernels. In an intermediate phase, for which there exist a coalescing flow and a flow of kernels solution of the SDE, a classification is given: All solutions of the SDE can be obtained by filtering a coalescing motion with respect to a subnoise containing the Gaussian part of its noise. Thus, the coalescing motion cannot be described by a white noise. Stochastic differential equations, strong solution, stochastic flow, stochastic flow of kernels, Sobolev flow, isotropic Brownian flow, coalescing flow, noise, Feller convolution semigroup.

Cite

CITATION STYLE

APA

Jan, Y. L., & Raimond, O. (2004). Flows, coalescence and noise. Annals of Probability, 32(2), 1247–1315. https://doi.org/10.1214/009117904000000207

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free