Stochastic turbulence for Burgers equation driven by cylindrical Lévy process

Backwards semi-martingales into Burgers' turtulence

In fluid dynamics governed by the one dimensional inviscid Burgers equation $\partial_t u+u\partial_x(u)=0$, the stirring is explained by the sticky particles model. A Markov process $([Z^1_t,Z^2_t],\,t\geq0)$ describes the motion of random turbulent intervals which evolve inside an other Markov process $([Z^3_t,Z^4_t],\,t\geq0)$, describing the motion of random clusters concerned with the turbulence. Then, the four velocity processes $(u(Z^i_t,t),\,t\geq0)$ are backward semi-martingales.

Complete integrability of shock clustering and Burgers turbulence

We consider scalar conservation laws with convex flux and random initial data. The Hopf-Lax formula induces a deterministic evolution of the law of the initial data. In a recent article, we derived a kinetic theory and Lax equations to describe the evolution of the law under the assumption that the initial data is a spectrally negative Markov process. Here we show that: (i) the Lax equations are Hamiltonian and describe a principle of least action on the Markov group that is in analogy with geodesic flow on $SO(N)$; (ii) the Lax equations are completely integrable and linearized via a loop-gro…

Martingale solution of stochastic hybrid Korteweg - de Vries - Burgers equation

In the paper, we consider a stochastic hybrid Korteweg - de Vries - Burgers type equation with multiplicative noise in the form of cylindrical Wiener process. We prove the existence of a martingale solution to the equation studied. The proof of the existence of the solution is based on two approximations of the considered problem and the compactness method. First, we introduce an auxiliary problem corresponding to the equation studied. Then, we prove the existence of a martingale solution to this problem. Finally, we show that the solution of the auxiliary problem converges, in some sense, to …

随机Burgers方程的Kolmogorov 4/5定律的弱版本与强版本

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

本文针对空间周期随机1d Burgers方程建立了Kolmogorov 4/5定律的弱强两个版本，证明了Landau对湍流普适性反对意见的类比，并指出第三矩是唯一具有普适渐近展开的矩。

关于具有分数型噪声的随机Burgers方程的全离散方案的强收敛性

Strong convergence of a fully discrete scheme for stochastic Burgers equation with fractional-type noise

本文研究了由加性圆柱分数布朗运动驱动的随机Burgers方程的数值近似，采用谱伽辽金方法空间离散，结合非线性 tame 加速指数欧拉方法构建全离散方案，通过证明分数布朗运动的随机卷积指数可积性，得出半离散和全离散近似的矩有界性，并利用停止时间技术证明方案的强收敛性。

$L_p$-solvability and Hölder regularity for stochastic time fractional Burgers' equations driven by multiplicative space-time white noise

We present the $L_p$-solvability for stochastic time fractional Burgers' equations driven by multiplicative space-time white noise: $$ \partial_t^αu = a^{ij}u_{x^ix^j} + b^{i}u_{x^i} + cu + \bar b^i u u_{x^i} + \partial_t^β\int_0^t σ(u)dW_t,\,t>0;\,\,u(0,\cdot) = u_0, $$ where $α\in(0,1)$, $β< 3α/4+1/2$, and $d< 4 - 2(2β-1)_+/α$. The operators $\partial_t^α$ and $\partial_t^β$ are the Caputo fractional derivatives of order $α$ and $β$, respectively. The process $W_t$ is an $L_2(\mathbb{R}^d)$-valued cylindrical Wiener process, and the coefficients $a^{ij}, b^i, c$ and $σ(u)$ are random. In add…