论文标题
向后半丁属汉堡的镇压
Backwards semi-martingales into Burgers' turtulence
论文作者
论文摘要
在由一维无粘性汉堡方程$ \ partial_t u+u \ u \ partial_x（u）= 0 $控制的流体动力学中，搅拌由粘性粒子模型解释。 Markov进程$（[z^1_t，z^2_t]，\，t \ geq0）$描述了随机湍流间隔的运动，这些间隔在另一个马尔可夫进程中演变为$（[z^3_t，z^4_t]，\，\，t \ geq0）$，描述了与随机夹的动作有关的随机cluss cass ces the the the the the the the the the the the the the the the the the Turmencers的动作。然后，四个速度进程$（u（z^i_t，t），\，t \ geq0）$是向后的半明天。
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.
