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Multiple G-Ito integral in G-expectation space 被引量:3
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作者 Panyu WU 《Frontiers of Mathematics in China》 SCIE CSCD 2013年第2期465-476,共12页
In 2007, Peng introduced Ito integral with respect to G-Brownian motion and the related Ito's formula in G-expectation space. Motivated by the properties of multiple Wiener integral obtained by Ito in 1951, we introd... In 2007, Peng introduced Ito integral with respect to G-Brownian motion and the related Ito's formula in G-expectation space. Motivated by the properties of multiple Wiener integral obtained by Ito in 1951, we introduce multiple G-Ito integral in G-expectation space, and investigate how to calculate it. Furthermore, We establish a relationship between Hermite polynomials and multiple G-Ito integrals. 展开更多
关键词 Sublinear expectation G-Brownian motion ito integral Hermite polynomial
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The Existence and Uniqueness of Random Solution to ItôStochastic Integral Equation
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作者 Hamdin Ahmed Alafif Caishi Wang 《Applied Mathematics》 2012年第7期800-804,共5页
The objective of this paper is to attempt to apply the theoretical techniques of probabilistic functional analysis to answer the question of existence and Uniqueness of a Random Solution to It? Stochastic Integral Equ... The objective of this paper is to attempt to apply the theoretical techniques of probabilistic functional analysis to answer the question of existence and Uniqueness of a Random Solution to It? Stochastic Integral Equation. Another type of stochastic integral equation which has been of considerable importance to applied mathematicians and engineers is that involving the It? or It?-Doob form of stochastic integrals. 展开更多
关键词 ito integral Brownian Motion Probabilistic Functional Analysis Banach Space
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Function projective synchronization between two different complex networks with correlated random disturbances 被引量:1
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作者 金运国 钟守铭 安娜 《Chinese Physics B》 SCIE EI CAS CSCD 2015年第4期555-562,共8页
Although function projective synchronization in complex dynamical networks has been extensively studied in the literature, few papers deal with the problem between two different complex networks with correlated random... Although function projective synchronization in complex dynamical networks has been extensively studied in the literature, few papers deal with the problem between two different complex networks with correlated random disturbances. In this paper, we present some novel techniques to analyze the problem of synchronization. A probability approach is introduced to obtain an almost sure synchronization criterion. We also present some efficient approaches to analyze the problem of exponential synchronization. For the problem of synchronization in some complex networks, our approaches not only can replace the LaSalle-type theorem but also allow improvements of existing results in the literature. Finally, some numerical examples are provided to demonstrate the effectiveness of the proposed approaches. 展开更多
关键词 complex networks random disturbances SYNCHRONIZATION MARTINGALE ito integral
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Review on the Current Stochastic Numerical Methods for Econometric Analysis
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作者 Lewis N.K.Mambo Rostin M.M.Mabela +1 位作者 Jean-Pierre B.Bosonga Eugene M.Mbuyi 《American Journal of Computational Mathematics》 2019年第4期328-347,共20页
The main aim of this paper is to present and emphasize the contribution of stochastic numerical methods as must tools for the modern econometric modelisation. Indeed, the stochastic numerical methods play an important... The main aim of this paper is to present and emphasize the contribution of stochastic numerical methods as must tools for the modern econometric modelisation. Indeed, the stochastic numerical methods play an important role in mathematical modelling and the econometric analysis because they model uncertainties that govern the real-world data. However these powerful tools are not well-known and understood by many economists and financial econometricians. 展开更多
关键词 Stochastic Differential Equations The Euler-Maruyama Scheme The Milstein Scheme The Crank-Nicolson Scheme Runge-Kutta Method ito integrals Econometric Analysis
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Mean-square Almost Periodic Random Functions
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作者 江利娜 张传义 《Northeastern Mathematical Journal》 CSCD 2007年第3期215-225,共11页
In this paper, we present a basic theory of mean-square almost periodicity, apply the theory in random differential equation, and obtain mean-square almost periodic solution of some types stochastic differential equat... In this paper, we present a basic theory of mean-square almost periodicity, apply the theory in random differential equation, and obtain mean-square almost periodic solution of some types stochastic differential equation. 展开更多
关键词 mean-square convergence mean-square almost periodic random function ito integration
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