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We investigate the universal behavior of the Kardar-Parisi-Zhang (KPZ) equation with temporally correlated noise. The presence of time correlations in the microscopic noise breaks the statistical tilt symmetry, or Galilean invariance, of…

Statistical Mechanics · Physics 2020-01-07 Davide Squizzato , Léonie Canet

We consider a class of weakly asymmetric continuous microscopic growth models with polynomial smoothing mechanisms, general nonlinearities and a Poisson type noise. We show that they converge to the KPZ equation after proper rescaling and…

Probability · Mathematics 2024-09-11 Fanhao Kong , Haiyi Wang , Weijun Xu

A general framework for the field-theoretic thermodynamic uncertainty relation was recently proposed and illustrated with the $(1+1)$ dimensional Kardar-Parisi-Zhang equation. In the present paper, the analytical results obtained there in…

Statistical Mechanics · Physics 2021-03-17 Oliver Niggemann , Udo Seifert

In this project we investigate the stochastic Burgers' equation with multiplicative space-time white noise on an unbounded spatial domain. We give a random field solution to this equation by defining a process via a kind of Feynman-Kac…

Probability · Mathematics 2017-09-21 Peter Lewis , David Nualart

In this paper, we investigate the stochastic damped Burgers equation with multiplicative space-time white noise defined on the entire real line. We prove the existence and uniqueness of a mild solution of the stochastic damped Burgers…

Dynamical Systems · Mathematics 2025-01-22 Zhenxin Liu , Zhiyuan Shi

In the first part of this paper, we prove the global regularity, in an adequate parabolic Bessel-Potential space and then in the corresponding parabolic fractional Sobolev space, of the unique solution to following fractional heat equation…

Analysis of PDEs · Mathematics 2025-06-10 Boumediene Abdellaoui , Somia Atmani , Kheireddine Biroud , El-Haj Laamri

We introduce a new concept of solution to the KPZ equation which is shown to extend the classical Cole-Hopf solution. This notion provides a factorisation of the Cole-Hopf solution map into a "universal" measurable map from the probability…

Probability · Mathematics 2015-03-19 Martin Hairer

Numerical simulations are essential tools for exploring the dynamic scaling properties of the nonlinear Kadar-Parisi-Zhang (KPZ) equation. Yet the inherent nonlinearity frequently causes numerical divergence within the strong-coupling…

Computational Physics · Physics 2023-12-25 Tianshu Song , Hui Xia

In this paper, we investigate the stochastic damped Burgers equation with multiplicative noise defined on the entire real line. We demonstrate the existence and uniqueness of a mild solution to the stochastic damped Burgers equation and…

Dynamical Systems · Mathematics 2025-06-10 Zhenxin Liu , Zhiyuan Shi

In this paper we propose an all-in-one statement which includes existence, uniqueness, regularity, and numerical approximations of mild solutions for a class of stochastic partial differential equations (SPDEs) with non-globally monotone…

Probability · Mathematics 2024-12-20 Sara Mazzonetto , Diyora Salimova

Consider the solution $\mathcal{Z}(t,x)$ of the one-dimensional stochastic heat equation, with a multiplicative spacetime white noise, and with the delta initial data $\mathcal{Z}(0,x) = \delta(x)$. For any real $p>0$, we obtained detailed…

Probability · Mathematics 2020-08-10 Sayan Das , Li-Cheng Tsai

The article covers the one-dimensional Kardar-Parisi-Zhang equation, weak drive limit, universality, directed polymers in a random medium, replica solutions, statistical mechanics of line ensembles, and its generalization to several…

Statistical Mechanics · Physics 2016-01-05 Herbert Spohn

We consider the Burgers equation on the real line with forcing given by Poissonian noise with no periodicity assumption. Under a weak concentration condition on the driving random force, we prove existence and uniqueness of a global…

Probability · Mathematics 2013-07-26 Yuri Bakhtin

We use the notion of energy solutions of the stochastic Burgers equation to give a short proof of the Hairer-Quastel universality result for a class of stationary weakly asymmetric stochastic PDEs.

Probability · Mathematics 2016-02-09 Massimiliano Gubinelli , Nicolas Perkowski

A modified Kardar-Parisi-Zhang (KPZ) equation is introduced, and solved exactly in the infinite-range limit. In the low-noise limit the system exhibits a weak-to-strong coupling transition, rounded for non-zero noise, as a function of the…

Condensed Matter · Physics 2009-10-28 M. Marsili , A. J. Bray

We prove existence and uniqueness of distributional solutions to the KPZ equation globally in space and time, with techniques from paracontrolled analysis. Our main tool for extending the analysis on the torus to the full space is a…

Probability · Mathematics 2019-02-22 Nicolas Perkowski , Tommaso Cornelis Rosati

The Kardar-Parisi-Zhang (KPZ) equation on the real line is well-known to admit Brownian motion with a linear drift as a stationary distribution (modulo additive constants). We show that these solutions are attractive, a result known as a…

Probability · Mathematics 2022-11-15 Christopher Janjigian , Firas Rassoul-Agha , Timo Seppäläinen

We introduce what we call the second-order Boltzmann-Gibbs principle, which allows to replace local functionals of a conservative, one-dimensional stochastic process by a possibly nonlinear function of the conserved quantity. This…

Probability · Mathematics 2015-06-17 Patricia Gonçalves , Milton Jara

Motivated by the recent advances in the theory of stochastic partial differential equations involving nonlinear functions of distributions, like the Kardar-Parisi-Zhang (KPZ) equation, we reconsider the unique solvability of one-dimensional…

Probability · Mathematics 2015-03-09 François Delarue , Roland Diel

We study the aging property for stationary models in the KPZ universality class. In particular, we show aging for the stationary KPZ fixed point, the Cole-Hopf solution to the stationary KPZ equation, the height function of the stationary…

Probability · Mathematics 2020-09-04 Jean-Dominique Deuschel , Gregorio R. Moreno Flores , Tal Orenshtein