Exact averaging of stochastic equations for transport in random velocity field

被引:14
|
作者
Shvidler, M [1 ]
Karasaki, K [1 ]
机构
[1] Univ Calif Berkeley, Lawrence Berkeley Lab, Div Earth Sci, Berkeley, CA 94720 USA
关键词
transport; random; velocity; averaging; exact; Gaussian process; telegraph process;
D O I
10.1023/A:1021136708863
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
We present new examples of exactly averaged multi- dimensional equation of transport of a conservative solute in a time- dependent random flow velocity field. The functional approach and a technique for decoupling the correlations are used. In general, the averaged equation is non- local. We study the special cases where the averaged equation can be localized and reduced to a differential equation of finite- order, where the problem of evolution of the initial plume (Cauchy problem) can be solved exactly. We present in detail the results of the analyses of two cases of exactly averaged problems for Gaussian and telegraph random velocity with an identical exponential correlation function, which are informative and convenient models for continuous and discontinuous random functions. The problems in which the field has sources of solute and boundaries are also examined. We study the behavior of different initial plumes for all times (evolutions and convergence) and show the manner in which they approach the same asymptotic limit for two stochastic distributions of flow- velocity. A comparison between exact solutions and solutions derived by the method of perturbation is also discussed.
引用
收藏
页码:223 / 241
页数:19
相关论文
共 50 条
  • [21] On an averaging result for transport equations
    Latrach, K
    COMPTES RENDUS DE L ACADEMIE DES SCIENCES SERIE I-MATHEMATIQUE, 2001, 333 (05): : 433 - 438
  • [22] An averaging principle for neutral stochastic functional differential equations driven by Poisson random measure
    Wei Mao
    Xuerong Mao
    Advances in Difference Equations, 2016
  • [23] An averaging principle for neutral stochastic functional differential equations driven by Poisson random measure
    Mao, Wei
    Mao, Xuerong
    ADVANCES IN DIFFERENCE EQUATIONS, 2016,
  • [24] An Averaging Principle for Caputo Fractional Stochastic Differential Equations with Compensated Poisson Random Measure
    Guo, Zhongkai
    Fu, Hongbo
    Wang, Wenya
    JOURNAL OF PARTIAL DIFFERENTIAL EQUATIONS, 2022, 35 (01): : 1 - 10
  • [25] Velocity Averaging Lemmas in Hyperbolic Sobolev Spaces for the Kinetic Transport Equation with Velocity Field on the Sphere
    Bournaveas, Nikolaos
    Wang, Hua
    NODEA-NONLINEAR DIFFERENTIAL EQUATIONS AND APPLICATIONS, 2009, 16 (01): : 131 - 142
  • [26] Random attractors and averaging for non-autonomous stochastic wave equations with nonlinear damping
    Li, Hongyan
    You, Yuncheng
    Tu, Junyi
    JOURNAL OF DIFFERENTIAL EQUATIONS, 2015, 258 (01) : 148 - 190
  • [27] Velocity Averaging Lemmas in Hyperbolic Sobolev Spaces for the Kinetic Transport Equation with Velocity Field on the Sphere
    Nikolaos Bournaveas
    Hua Wang
    Nonlinear Differential Equations and Applications NoDEA, 2009, 16 : 131 - 142
  • [28] EXTENSION OF AVERAGING METHOD TO STOCHASTIC EQUATIONS
    VRKOC, I
    CZECHOSLOVAK MATHEMATICAL JOURNAL, 1966, 16 (04) : 518 - &
  • [29] Stochastic Averaging Principle for Mixed Stochastic Differential Equations
    Jing Yuanyuan
    Peng Yarong
    Li Zhi
    JOURNAL OF PARTIAL DIFFERENTIAL EQUATIONS, 2022, 35 (03): : 223 - 239
  • [30] Stochastic averaging principle for distribution dependent stochastic differential equations
    Shen, Guangjun
    Song, Jie
    Wu, Jiang-Lun
    APPLIED MATHEMATICS LETTERS, 2022, 125