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Probabilistic approach to the stochastic Burgers equation

Massimiliano Gubinelli and Nicolas Perkowski

First issued 25 January 2017 · PDF

Abstract

We review the formulation of the stochastic Burgers equation as a martingale problem. One way of understanding the difficulty in making sense of the equation is to note that it is a stochastic PDE with distributional drift, so we first review how to construct finite-dimensional diffusions with distributional drift. We then present the uniqueness result for the stationary martingale problem of [Gubinelli, Perkowski 2016], but we mainly emphasize the heuristic derivation and also we include a (very simple) extension of [Gubinelli, Perkowski 2016] to a non-stationary regime.

Versions

  1. Version 1 (arXiv v1) current
    25 January 2017
    arXiv comments: 12 pages

Cite

Massimiliano Gubinelli and Nicolas Perkowski. Probabilistic approach to the stochastic Burgers equation. Papers of Massimiliano Gubinelli, 2017, version 1. https://mgubi.org/papers/paper/burgers-probabilistic/

Licence: arXiv.org perpetual, non-exclusive license to distribute; all other rights reserved to the authors

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