Kpz equation, its renormalization and invariant measures

Tadahisa Funaki, Jeremy Quastel

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

The Kardar–Parisi–Zhang (KPZ) equation is a stochastic partial differential equation which is ill-posed because of the inconsistency between the nonlinearity and the roughness of the forcing noise. However, its Cole–Hopf solution, defined as the logarithm of the solution of the linear stochastic heat equation (SHE) with a multiplicative noise, is a mathematically well-defined object. In fact, Hairer (Ann Math 178:559–694, 2013) has recently proved that the solution of SHE can actually be derived through the Cole–Hopf transform of the solution of the KPZ equation with a suitable renormalization under periodic boundary conditions. This transformation is unfortunately not well adapted to studying the invariant measures of these Markov processes. The present paper introduces a different type of regularization for the KPZ equation on the whole line ℝ or under periodic boundary conditions, which is appropriate from the viewpoint of studying the invariant measures. The Cole–Hopf transform applied to this equation leads to an SHE with a smeared noise having an extra complicated nonlinear term. Under time average and in the stationary regime, it is shown that this term can be replaced by a simple linear term, so that the limit equation is the linear SHE with an extra linear term with coefficient 24 1 . The methods are essentially stochastic analytic: The Wiener–Itô expansion and a similar method for establishing the Boltzmann–Gibbs principle are used. As a result, it is shown that the distribution of a two-sided geometric Brownian motion with a height shift given by Lebesgue measure is invariant under the evolution determined by the SHE on ℝ.

Original languageEnglish
Pages (from-to)159-220
Number of pages62
JournalStochastics and Partial Differential Equations: Analysis and Computations
Volume3
Issue number2
DOIs
Publication statusPublished - 2013 Jan 1
Externally publishedYes

Fingerprint

Stochastic Heat Equation
Invariant Measure
Renormalization
Term
Periodic Boundary Conditions
Boundary conditions
Transform
Geometric Brownian Motion
Stochastic Partial Differential Equations
Multiplicative Noise
Brownian movement
Time-average
Lebesgue Measure
Logarithm
Inconsistency
Roughness
Markov Process
Markov processes
Forcing
Partial differential equations

Keywords

  • Cole
  • Hopf transform
  • Invariant measure
  • KPZ equation
  • Stochastic partial differential equation

ASJC Scopus subject areas

  • Statistics and Probability
  • Modelling and Simulation
  • Applied Mathematics

Cite this

Kpz equation, its renormalization and invariant measures. / Funaki, Tadahisa; Quastel, Jeremy.

In: Stochastics and Partial Differential Equations: Analysis and Computations, Vol. 3, No. 2, 01.01.2013, p. 159-220.

Research output: Contribution to journalArticle

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