New sufficient conditions of existence, moment estimations and non confluence for SDEs with non-Lipschitzian coefficients

被引:21
作者
Lan, Guangqiang [1 ]
Wu, Jiang-Lun [2 ]
机构
[1] Beijing Univ Chem Technol, Sch Sci, Beijing 100029, Peoples R China
[2] Swansea Univ, Coll Sci, Dept Math, Swansea SA2 8PP, W Glam, Wales
基金
中国国家自然科学基金;
关键词
Stochastic differential equations; Non-Lipschitzian; Existence; Non explosion; Non confluence; Moment estimations for the maximum process; Test function; STOCHASTIC DIFFERENTIAL-EQUATIONS;
D O I
10.1016/j.spa.2014.07.010
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The objective of the present paper is to find new sufficient conditions for the existence of unique strong solutions to a class of (time-inhomogeneous) stochastic differential equations with random, non-Lipschitzian coefficients. We give an example to show that our conditions are indeed weaker than those relevant conditions existing in the literature. We also derive moment estimations for the maximum process of the solution. Finally, we present a sufficient condition to ensure the non confluence property of the solution of time-homogeneous SDE which, in one dimension, is nothing but stochastic monotone property of the solution. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:4030 / 4049
页数:20
相关论文
共 18 条
[1]  
[Anonymous], 2007, CLASSICS MATH
[2]  
[Anonymous], 2007, STOCHASTIC DIFFERENT
[3]  
EMERY M, 1981, LECT NOTES MATH, V850, P587
[4]   A study of a class of stochastic differential equations with non-Lipschitzian coefficients [J].
Fang, SZ ;
Zhang, TS .
PROBABILITY THEORY AND RELATED FIELDS, 2005, 132 (03) :356-390
[5]   A class of stochastic differential equations with non-Lipschitzian coefficients: pathwise uniqueness and no explosion [J].
Fang, SZ ;
Zhang, TS .
COMPTES RENDUS MATHEMATIQUE, 2003, 337 (11) :737-740
[6]   Strong convergence of Euler-type methods for nonlinear stochastic differential equations [J].
Higham, DJ ;
Mao, XR ;
Stuart, AM .
SIAM JOURNAL ON NUMERICAL ANALYSIS, 2002, 40 (03) :1041-1063
[7]   On Weak Solutions of Stochastic Differential Equations [J].
Hofmanova, Martina ;
Seidler, Jan .
STOCHASTIC ANALYSIS AND APPLICATIONS, 2012, 30 (01) :100-121
[8]  
Ikeda I., 1981, STOCHASTIC DIFFERENT
[9]  
Krylov N. V., 1999, Lecture Notes in Mathematics, V1715, P1
[10]   Strong solutions of stochastic equations with singular time dependent drift [J].
Krylov, NV ;
Röckner, M .
PROBABILITY THEORY AND RELATED FIELDS, 2005, 131 (02) :154-196