activity
20032026
most citedTunneling Topological Vacua via Extended Operators: (Spin-)TQFT Spectra and Boundary Deconfinement in Various Dimensions

47 citations · 204 across the 23 of their papers we have counts for

collaborators

24 papers

math.DS2026

Long-time behaviour of dynamical systems driven by bounded mixing noises

Peng Gao, Sergei Kuksin

We study the mixing properties of discrete-time and continuous-time dissipative dynamical systems driven by bounded mixing random forces. The continuous-time systems are reduced to…

math.PR2022

Weak and strong versions of the Kolmogorov 4/5-law for stochastic Burgers equation

Peng Gao, Sergei Kuksin

For solutions of the space-periodic stochastic 1d Burgers equation we establish two versions of the Kolmogorov 4/5-law which provides an asymptotic expansion for the third moment o…

math.AP2020★ 3 cited

Controllability and ergodicity of 3D primitive equations driven by a finite-dimensional force

Pierre-Marie Boulvard, Peng Gao, Vahagn Nersesyan

We study the problems of controllability and ergodicity of the system of 3D primitive equations modeling large-scale oceanic and atmospheric motions. The system is driven by an add…

cond-mat.str-el2018★ 47 cited

Tunneling Topological Vacua via Extended Operators: (Spin-)TQFT Spectra and Boundary Deconfinement in Various Dimensions

Juven Wang, Kantaro Ohmori, Pavel Putrov +6

Distinct quantum vacua of topologically ordered states can be tunneled into each other via extended operators. The possible applications include condensed matter and quantum cosmol…

math.DS2017

Strong averaging principle for stochastic Klein-Gordon equation with a fast oscillation

Peng Gao

This paper investigates an averaging principle for stochastic Klein-Gordon equation with a fast oscillation arising as the solution of a stochastic reaction-diffusion equation evol…

math.DS2017

Stochastic averaging principle for multiscale stochastic linearly coupled complex cubic-quintic Ginzburg-Landau equations

Peng Gao, Yong Li

Stochastic averaging principle is a powerful tool for studying qualitative analysis of stochastic dynamical systems with different time-scales. In this paper, we will establish an…