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Stochastic Flows in the Brownian Web and Net Book PDF Summary

It is known that certain one-dimensional nearest-neighbor random walks in i.i.d. random space-time environments have diffusive scaling limits. Here, in the continuum limit, the random environment is represented by a `stochastic flow of kernels', which is a collection of random kernels that can be loosely interpreted as the transition probabilities of a Markov process in a random environment. The theory of stochastic flows of kernels was first developed by Le Jan and Raimond, who showed that each such flow is characterized by its -point motions. The authors' work focuses on a class of stochastic flows of kernels with Brownian -point motions which, after their inventors, will be called Howitt-Warren flows. The authors' main result gives a graphical construction of general Howitt-Warren flows, where the underlying random environment takes on the form of a suitably marked Brownian web. This extends earlier work of Howitt and Warren who showed that a special case, the so-called "erosion flow", can be constructed from two coupled "sticky Brownian webs". The authors' construction for general Howitt-Warren flows is based on a Poisson marking procedure developed by Newman, Ravishankar and Schertzer for the Brownian web. Alternatively, the authors show that a special subclass of the Howitt-Warren flows can be constructed as random flows of mass in a Brownian net, introduced by Sun and Swart. Using these constructions, the authors prove some new results for the Howitt-Warren flows.

Detail Book of Stochastic Flows in the Brownian Web and Net PDF

Stochastic Flows in the Brownian Web and Net
  • Author : Emmanuel Schertzer
  • Release : 08 January 2014
  • Publisher : American Mathematical Soc.
  • ISBN : 9780821890882
  • Genre : Mathematics
  • Total Page : 160 pages
  • Language : English
  • PDF File Size : 11,7 Mb

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Stochastic Flows in the Brownian Web and Net

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