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SET-VALUED AND FUZZY STOCHASTIC DIFFERENTIAL EQUATIONS IN M-TYPE 2 BANACH SPACES

机译:M型2 Banach空间中的集值和模糊随机微分方程

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In this paper we study set-valued stochastic differential equations in M-type 2 Banach spaces. Their drift terms and diffusion terms are assumed to be set-valued and single-valued respectively. These coefficients are considered to be random which makes the equations to be truely nonautonomous. Firstly we define set-valued stochastic Lebesgue integral in a Banach space. This integral is a set-valued random variable. We state its properties such as additivity with respect to the interval of integration, continuity as a function of the upper limit of integration, integrable boundedness. The existence and uniqueness of solution to set-valued differential equations in M-type 2 Banach space is obtained by a method of successive approximations. We show that the approximations are uniformly bounded and converge to the unique solution. A distance between nth approximation and exact solution is estimated and a continuous dependence of solution with respect to the data of the equation is proved. Finally, we construct a fuzzy stochastic Lebesgue integral in a Banach space and examine fuzzy stochastic differential equations in M-type 2 Banach spaces. We investigate properties like those in set-valued cases. All the results are achieved without assumption on separability of underlying sigma-algebra.
机译:在本文中,我们研究了M型2 Banach空间中的集值随机微分方程。假设它们的漂移项和扩散项分别是设定值和单值。这些系数被认为是随机的,这使得方程式确实是非自治的。首先,我们在Banach空间中定义了集值随机Lebesgue积分。该积分是一个设定值的随机变量。我们陈述其性质,例如相对于积分间隔的可加性,作为积分上限的函数的连续性,可积分有界性。通过逐次逼近的方法,获得了M型2 Banach空间中集值微分方程解的存在性和唯一性。我们证明了逼近是一致有界的,并且收敛到唯一解。估计第n个近似值与精确解之间的距离,并证明解对方程数据的连续依赖性。最后,我们在Banach空间中构造了一个模糊随机Lebesgue积分,并研究了M型2 Banach空间中的模糊随机微分方程。我们研究的属性类似于集合值案例中的属性。无需假设基础sigma代数的可分性即可获得所有结果。

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