Stochastic flows in the Brownian web and net
Emmanuel Schertzer, Rongfeng Sun, Jan M. Swart

TL;DR
This paper introduces graphical and net-based constructions of Howitt-Warren stochastic flows with Brownian n-point motions, revealing their spreading properties, atomicity, and ergodic behavior, and extends understanding of the Brownian web and net.
Contribution
It provides new constructions and results for Howitt-Warren flows, linking them to Brownian webs and nets, and characterizes their support, atomicity, and ergodic properties.
Findings
Kernels spread with finite speed
Kernels have locally finite support at deterministic times
Kernels are purely atomic at deterministic times
Abstract
Certain one-dimensional nearest-neighbor random walks in i.i.d. random space-time environments are known to have diffusive scaling limits. 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 introduced by Le Jan and Raimond, who showed that each such flow is characterized by its n-point motions. We focus on a class of stochastic flows of kernels with Brownian n-point motions which, after their inventors, will be called Howitt-Warren flows. We give a graphical construction of general Howitt-Warren flows, where the underlying random environment takes on the form of a suitably marked Brownian web. Alternatively, we show that a special subclass of the…
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