collaborators
Showing math.PRShow all

5 papers · 1 filter

math.PR2025

Quasi-Gaussianity of the 2D stochastic Navier-Stokes equations

James Coe, Martin Hairer, Leonardo Tolomeo

We study the qualitative properties of solutions to the 2D stochastic Navier-Stokes equations with forcing that is white in time and coloured in space. Our main result shows that t…

math.PR2025

Ergodicity of infinite volume at high temperature

Paweł Duch, Martin Hairer, Jaeyun Yi +1

We consider the infinite volume dynamic and show that it is globally well-posed in a suitable weighted Besov space of distributions. At high temperatures / small coupling,…

math.PR2024

A simple construction of the sine-Gordon model via stochastic quantization

Massimiliano Gubinelli, Martin Hairer, Tadahiro Oh +1

We present a simple PDE construction of the sine-Gordon measure below the first threshold ($\be^2 < 4π$), in both the finite and infinite volume settings, by studying the correspon…

math.PR2024

Lower bounds on the top Lyapunov exponent for linear PDEs driven by the 2D stochastic Navier-Stokes equations

Martin Hairer, Sam Punshon-Smith, Tommaso Rosati +1

We consider the top Lyapunov exponent associated to the advection-diffusion and linearised Navier-Stokes equations on the two-dimensional torus. The velocity field is given by the…

math.PR2024

Ergodicity of 2D singular stochastic Navier-Stokes equations

Martin Hairer, Wenhao Zhao

We consider the 2D stochastic Navier-Stokes equations driven by noise that has the regularity of space-time white noise but doesn't exactly coincide with it. We show that, provided…