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概率方法解拟线性偏微分方程
引用本文:陈绍仲.概率方法解拟线性偏微分方程[J].数学学报,1997,40(3):333-344.
作者姓名:陈绍仲
作者单位:宁波大学数学系
摘    要:本文用随机分析方法证明了拟线性抛物型方程ut+f(u)ux、uxx=0,u(0,x)=u0(x)在u0有界可测,f连续且f>0条件下,其解当→0时收敛于拟线性方程ut+f(u)ux=0,u(0,x)=u0(x)的熵解,即论证了“沾性消失法”解此方程的正确性,1957年Oleinik曾用差分方法解决了此问题。这里用概率方法重新获得此结果。

关 键 词:拟线性偏微分方程,熵条件,随机偏微分方程,Ito公式,有界变差函数。
收稿时间:1995-3-27
修稿时间:1995-11-7

^StochastictMethod for Quasilinear Partial Differential Equations
Chen Shaozhong.^StochastictMethod for Quasilinear Partial Differential Equations[J].Acta Mathematica Sinica,1997,40(3):333-344.
Authors:Chen Shaozhong
Institution:Chen Shaozhong (Department of Mathematics,Ningbo University,Ningbo 315211, China)
Abstract:lt is proved by stochastic analysis method that if u0 is bounded and mea- surable and f> 0 then the solution of Cauchy problem of the quasilinear parabolic partial differential equation u0 f(u)ux =0 , u(0,x) =u0 (x) xonverges to the entropy solution of the quasilinear partial differential equation u0 f (u)ux=0 , u(0,x) = u0(x), as - 0, that is the validity of " vanishing viscosity" method for the equation. This is the well known result due to Oleinik by using difference method in 1975. The result of this paper suggests the importance of probabilistic method for solving nonlinear partial differeatial equations.
Keywords:Quasilinear partial differential equation  Eatropy condition  Stochastic partial differential equation  lto formula  Bounded variation function  
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