The cocycle property of stochastic differential equations driven by G-Brownian motion

Huijie Qiao

Chinese Annals of Mathematics, Series B ›› 2015, Vol. 36 ›› Issue (1) : 147 -160.

PDF
Chinese Annals of Mathematics, Series B ›› 2015, Vol. 36 ›› Issue (1) : 147 -160. DOI: 10.1007/s11401-014-0869-1
Article

The cocycle property of stochastic differential equations driven by G-Brownian motion

Author information +
History +
PDF

Abstract

In this paper, solutions of the following non-Lipschitz stochastic differential equations driven by G-Brownian motion: X_t = x + \int_0^t {b(s,\omega ,X_s )ds} + \int_0^t {h(s,\omega ,X_s )d\left\langle B \right\rangle _s } + \int_0^t {\sigma (s,\omega ,X_s )dB_s } are constructed. It is shown that they have the cocycle property. Moreover, under some special non-Lipschitz conditions, they are bi-continuous with respect to t, x.

Keywords

Cocycle property / Non-Lipschitz condition / SDEs driven by G-Brownian motion

Cite this article

Download citation ▾
Huijie Qiao. The cocycle property of stochastic differential equations driven by G-Brownian motion. Chinese Annals of Mathematics, Series B, 2015, 36(1): 147-160 DOI:10.1007/s11401-014-0869-1

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Applebaum D. Lévy Processes and Stochastic Calculus, 2009 Second Edition Cambridge: Cambridge Univ. Press

[2]

Bai X, Lin Y. On the existence and uniqueness of solutions to stochastic differential equations driven by G-Brownian motion with integral-Lipschitz coefficients, 2010

[3]

Cao G, He K, Zhang X. Successive approximations of infinite dimensional SDEs with jump. Stochastic and Dynamics, 2005, 5: 609-619

[4]

Crandall G, Ishii H, Lions P. User’s guide to viscosity solutions of second order partial differential equations. Bulletin (New Series) of the American Mathematical Society, 1992, 27: 1-67

[5]

Denis L, Hu M, Peng S. Function spaces and capacity related to a sublinear expectation: application to G-Brownian motion paths. Potential Analysis, 2010, 34: 139-161

[6]

Gao F. Pathwise properties and hoemeomorphic flows for stochastic differential equations driven by G-Brownian motion. Stochastic Processes and Their Applications, 2009, 119: 3356-3382

[7]

Peng S Benth G-expectation, G-Brownian motion and related stochastic calculus of Itô’s type. Proceedings of the 2005 Abel Symposium 2, 2006 541-567

[8]

Peng S. Multi-dimensional G-Brownian motion and related stochastic calculus under G-expectation. Stochastic Processes and Their Applications, 2008, 118: 2223-2253

[9]

Peng S. G-Brownian motion and dynamic risk measure under volatility uncertainty, 2007

[10]

Xu J, Zhang B. Martingale characterization of G-Brownian motion. Stochastic Processes and Their Applications, 2009, 119: 232-248

[11]

Zhang X. Exponential ergodicity of non-Lipschitz stochastic differential equations. Proceedings of the American Mathematical Society, 2009, 137: 329-337

AI Summary AI Mindmap
PDF

113

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/