Stochastic Equations and Inclusions with Mean Derivatives and Their Applications to Mathematical Physics

Y. Gliklikh
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引用次数: 1

Abstract

This is a short introduction into the Theory of Mean Derivatives and a survey of results of the Voronezh team on the equations and inclusions with mean derivatives and their applications. In particular we explain some methods for calculation of mean derivatives, introduce the equations and inclusions with forward mean derivatives and with symmetric mean derivatives (current velocities), find optimal solutions for general inclusions and for the so called inclusions of geometric Brownian motion type, investigate the Leontieff type equations with noise and some second order equations with mean derivatives arising in mathematical physics.
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随机方程和包含均值导数及其在数学物理中的应用
这是对平均导数理论的简短介绍,以及对Voronezh团队关于平均导数方程和包含及其应用的结果的调查。特别地,我们解释了均值导数的一些计算方法,介绍了正均值导数和对称均值导数(当前速度)的方程和包含,找到了一般包含和所谓的几何布朗运动类型的包含的最优解,研究了数学物理中出现的带噪声的Leontieff型方程和一些带均值导数的二阶方程。
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