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      Flows, coalescence and noise

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          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.

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          Exact sampling with coupled Markov chains and applications to statistical mechanics

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            Phase transition in the passive scalar advection

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              Slow modes in passive advection

              The anomalous scaling in the Kraichnan model of advection of the passive scalar by a random velocity field with non-smooth spatial behavior is traced down to the presence of slow resonance-type collective modes of the stochastic evolution of fluid trajectories. We show that the slow modes are organized into infinite multiplets of descendants of the primary conserved modes. Their presence is linked to the non-deterministic behavior of the Lagrangian trajectories at high Reynolds numbers caused by the sensitive dependence on initial conditions within the viscous range where the velocity fields are more regular. Revisiting the Kraichnan model with smooth velocities we describe the explicit solution for the stationary state of the scalar. The properties of the probability distribution function of the smeared scalar in this state are related to a quantum mechanical problem involving the Calogero-Sutherland Hamiltonian with a potential.
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                Author and article information

                Journal
                2002-03-21
                2005-03-30
                Article
                10.1214/009117904000000207
                math/0203221
                525c45d9-92d0-4196-b74f-2a1b76a16c06
                History
                Custom metadata
                60H10, 60H40, 60G51, 76F05 (Primary)
                IMS-AOP-AOP246
                Annals of Probability 2004, Vol. 32, No. 2, 1247-1315
                Published at http://dx.doi.org/10.1214/009117904000000207 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
                math.PR

                Probability
                Probability

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