Burgers Equation with Multiplicative Noise: Dynamics and Stability

نویسندگان

  • Salah Mohammed
  • Tusheng Zhang
چکیده

The main objective of this article is to analyse the dynamics of Burgers equation on the unit interval, driven by multiplicative white noise. It is shown that the solution field of the stochastic Burgers equation generates a smooth perfect and locally compacting cocycle on the energy space L2([0, 1],R). Using multiplicative ergodic theory techniques, we compute the discrete non-random Lyapunov spectrum {λi}i=1 of the linearized cocycle. The Lyapunov spectrum characterizes the asymptotics of the cocycle near the zero equilibrium solution. In particular, we construct a countable random family of local asymptotically flow-invariant manifolds {Si(ω)}i=1 so that on each manifold Si(ω), the cocycle decays with fixed exponential speed less than or equal to λi. Each local manifold Si(ω) is smooth and has finite-codimension i − 1 for i ≥ 1. On a global level, we show the existence of a flow-invariant random flag in the energy space L2([0, 1],R). The global random flag is characterized by the Lyapunov spectrum of the linearized cocycle. In the presence of a linear drift, we also give sufficient conditions on the parameters of the stochastic Burgers equation which guarantee uniqueness of the stationary solution or its hyperbolicity. In the hyperbolic case, we establish a local stable manifold theorem near the zero equilibrium. AMS Subject Classification: Primary 60H15 Secondary 60F10, 35Q30.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Resolve the multitude of microscale interactions to holistically discretise the stochastically forced Burgers’ partial differential equation

Constructing discrete models of stochastic partial differential equations is very delicate. Here we use modern dynamical systems theory to derive spatial discretisations of the nonlinear advection-diffusion dynamics of the stochastically forced Burgers’ partial differential equation. In a region of the domain far from any spatial boundaries, stochastic centre manifold theory supports a discrete...

متن کامل

Burgers Equation with Affine Linear Noise: Dynamics and Stability

The main objective of this article is to analyse the dynamics of Burgers equation on the unit interval, driven by affine linear white noise. It is shown that the solution field of the stochastic Burgers equation generates a smooth perfect and locally compacting cocycle on the energy space L2([0, 1],R). Using multiplicative ergodic theory techniques, we establish the existence of a discrete non-...

متن کامل

Rough Burgers-like Equations with Multiplicative Noise

We construct solutions to vector valued Burgers type equations perturbed by a multiplicative space-time white noise in one space dimension. Due to the roughness of the driving noise, solutions are not regular enough to be amenable to classical methods. We use the theory of controlled rough paths to give a meaning to the spatial integrals involved in the definition of a weak solution. Subject to...

متن کامل

Model subgrid microscale interactions to holistically discretise stochastic partial differential equations

Constructing discrete models of stochastic partial differential equations is very delicate. Here we use stochastic centre manifold theory to derive and support spatial discretisations of the nonlinear advectiondiffusion dynamics of the stochastically forced Burgers’ equation. The trick to the application of the theory is to divide the physical domain into finite sized elements by introducing in...

متن کامل

An approximation to the solution of Benjamin-Bona-Mahony-Burgers equation

In this paper, numerical solution of the Benjamin-Bona-Mahony-Burgers (BBMB) equation is obtained by using the mesh-free method based on the collocation method with radial basis functions (RBFs). Stability analysis of the method is discussed. The method is applied to several examples and accuracy of the method is tested in terms of $L_2$ and $L_infty$ error norms.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009