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Spontaneous Stochasticity and Anomalous Dissipation for Burgers Equation

机译:Burgers方程的自发随机性和异常耗散

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We develop a Lagrangian approach to conservation-law anomalies in weak solutions of inviscid Burgers equation, motivated by previous work on the Kraichnan model of turbulent scalar advection. We show that the entropy solutions of Burgers possess Markov stochastic processes of (generalized) Lagrangian trajectories backward in time for which the Burgers velocity is a backward martingale. This property is shown to guarantee dissipativity of conservation-law anomalies for general convex functions of the velocity. The backward stochastic Burgers flows with these properties are not unique, however. We construct infinitely many such stochastic flows, both by a geometric construction and by the zero-noise limit of the Constantin-Iyer stochastic representation of viscous Burgers solutions. The latter proof yields the spontaneous stochasticity of Lagrangian trajectories backward in time for Burgers, at unit Prandtl number. It is conjectured that existence of a backward stochastic flow with the velocity as martingale is an admissibility condition which selects the unique entropy solution for Burgers. We also study linear transport of passive densities and scalars by inviscid Burgers flows. We show that shock solutions of Burgers exhibit spontaneous stochasticity backward in time for all finite Prandtl numbers, implying conservation-law anomalies for linear transport. We discuss the relation of our results for Burgers with incompressible Navier-Stokes turbulence, especially Lagrangian admissibility conditions for Euler solutions and the relation between turbulent cascade directions and time-asymmetry of Lagrangian stochasticity.
机译:在先前关于湍流标量对流的Kraichnan模型的工作的启发下,我们开发了Lagrangian方法来求解无粘性Burgers方程的弱解中的守恒律异常。我们表明,Burgers的熵解具有(广义)拉格朗日轨迹的马尔可夫随机过程,其时间向后博格斯速度是向后mar。该特性表明可以保证守恒律异常对速度的一般凸函数具有消散性。但是,具有这些属性的向后随机Burgers流并不是唯一的。我们通过几何构造和粘性Burgers解的Constantin-Iyer随机表示的零噪声极限,构造了无数种这样的随机流。后一证明产生了以时间为单位Prandtl数的Burgers在时间上向后拉格朗日轨迹的自发随机性。可以推测,存在速度为mar的反向随机流动是一个选择条件,该条件为Burgers选择唯一的熵解。我们还研究了无粘性Burgers流对被动密度和标量的线性传输。我们表明,对于所有有限的Prandtl数,Burgers的激波解在时间上均表现出自发的随机性,这意味着线性运输的守恒定律异常。我们讨论了具有不可压缩的Navier-Stokes湍流的Burgers结果的关系,尤其是Euler解的拉格朗日容许条件,以及湍流叶栅方向与拉格朗日随机性的时间不对称性之间的关系。

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