Fluctuations of random semi-linear advection equations
Yu Gu, Tomasz Komorowski, Lenya Ryzhik

TL;DR
This paper studies the behavior of semi-linear advection equations with highly oscillatory Gaussian noise, revealing that nonlinearity acts as a random transformation on the linear homogenization limit.
Contribution
It demonstrates that nonlinearity in such equations functions as a random diffeomorphism, extending classical linear homogenization results to nonlinear settings.
Findings
Nonlinearity acts as a random diffeomorphism in the limit.
Point-wise distribution is obtained by applying the diffeomorphism to the linear limit.
Classical linear homogenization results are extended to nonlinear equations.
Abstract
We consider a semi-linear advection equation driven by a highly-oscillatory space-time Gaussian random field, with the randomness affecting both the drift and the nonlinearity. In the linear setting, classical results show that the characteristics converge in distribution to a homogenized Brownian motion, hence the point-wise law of the solution is close to a functional of the Brownian motion. Our main result is that the nonlinearity plays the role of a \emph{random diffeomorphism}, and the point-wise limiting distribution is obtained by applying the diffeomorphism to the limit in the linear setting.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Stochastic processes and statistical mechanics · Stochastic processes and financial applications
