Abstract
This work focuses on a class of regime-switching jump diffusion processes, which is a two component Markov processes (X(t),Λ(t)), where Λ(t) is a component representing discrete events taking values in a countably infinite set. Considering the corresponding stochastic differential equations, our main focus is on treating those with non-Lipschitz coefficients. We first show that there exists a unique strong solution to the corresponding stochastic differential equation. Then Feller and strong Feller properties are investigated.
The study was initiated during a workshop held at IMA, University of Minnesota. The support of IMA with funding provided by the National Science Foundation is acknowledged. The research was also supported in part by the National Natural Science Foundation of China under Grant No. 11671034, the US Army Research Office, and the Simons Foundation Collaboration Grant (No. 523736).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Richard F. Bass. Stochastic differential equations driven by symmetric stable processes. In Séminaire de Probabilités, XXXVI, volume 1801 of Lecture Notes in Math., pages 302–313. Springer, Berlin, 2003.
Mu-Fa Chen. From Markov chains to non-equilibrium particle systems. World Scientific Publishing Co. Inc., River Edge, NJ, second edition, 2004.
Xiaoshan Chen, Zhen-Qing Chen, Ky Tran, and George Yin. Properties of switching jump diffusions: Maximum principles and harnack inequalities. Bernoulli, to appear, 2018.
Xiaoshan Chen, Zhen-Qing Chen, Ky Tran, and George Yin. Recurrence and ergodicity for a class of regime-switching jump diffusions. Applied Mathematics & Optimization, 2018. https://doi.org/10.1007/s00245-017-9470-9
Kai Lai Chung and Zhong Xin Zhao. From Brownian motion to Schrödinger’s equation, volume 312 of Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences]. Springer-Verlag, Berlin, 1995.
Shizan Fang and Tusheng Zhang. A study of a class of stochastic differential equations with non-Lipschitzian coefficients. Probab. Theory Related Fields, 132(3):356–390, 2005.
Zongfei Fu and Zenghu Li. Stochastic equations of non-negative processes with jumps. Stochastic Process. Appl., 120(3):306–330, 2010.
Fima C. Klebaner. Introduction to stochastic calculus with applications. Imperial College Press, London, second edition, 2005.
Takashi Komatsu. Markov processes associated with certain integro-differential operators. Osaka J. Math., 10:271–303, 1973.
Hiroshi Kunita. Nondegenerate SDE’s with jumps and their hypoelliptic properties. J. Math. Soc. Japan, 65(3):993–1035, 2013.
Sean D. Lawley, Jonathan C. Mattingly, and Michael C. Reed. Sensitivity to switching rates in stochastically switched ODEs. Commun. Math. Sci., 12(7):1343–1352, 2014.
Zenghu Li and Leonid Mytnik. Strong solutions for stochastic differential equations with jumps. Ann. Inst. Henri Poincaré Probab. Stat., 47(4):1055–1067, 2011.
Zenghu Li and Fei Pu. Strong solutions of jump-type stochastic equations. Electron. Commun. Probab., 17(33):1–13, 2012.
Xuerong Mao and Chenggui Yuan. Stochastic differential equations with Markovian switching. Imperial College Press, London, 2006.
S. P. Meyn and R. L. Tweedie. Markov chains and stochastic stability. Communications and Control Engineering Series. Springer-Verlag London, Ltd., London, 1993.
Dang H. Nguyen and George Yin. Recurrence and ergodicity of switching diffusions with past-dependent switching having a countable state space. Potential Anal., 48(4):405–435, 2018.
Dang Hai Nguyen and George Yin. Modeling and analysis of switching diffusion systems: past-dependent switching with a countable state space. SIAM J. Control Optim., 54(5):2450–2477, 2016.
J. R. Norris. Markov chains, volume 2 of Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge University Press, Cambridge, 1998. Reprint of 1997 original.
Bernt Øksendal. Stochastic differential equations, An introduction with applications. Universitext. Springer-Verlag, Berlin, sixth edition, 2003.
Jinghai Shao. Strong solutions and strong Feller properties for regime-switching diffusion processes in an infinite state space. SIAM J. Control Optim., 53(4):2462–2479, 2015.
Daniel W. Stroock. Diffusion processes associated with Lévy generators. Z. Wahrscheinlichkeitstheorie und Verw. Gebiete, 32(3):209–244, 1975.
Fubao Xi and Chao Zhu. On Feller and strong Feller properties and exponential ergodicity of regime-switching jump diffusion processes with countable regimes. SIAM J. Control Optim., 55(3):1789–1818, 2017.
Fubao Xi and Chao Zhu. On the martingale problem and Feller and strong Feller properties for weakly coupled Lévy type operators. Stochastic Process. Appl., 12(12):4277–4308, 2018.
Fubao Xi and Chao Zhu. Jump type stochastic differential equations with non-lipschitz coefficients: Non confluence, feller and strong feller properties, and exponential ergodicity. J. Differential Equations, 266(8):4668–4711, 2019.
Toshio Yamada and ShinzoWatanabe. On the uniqueness of solutions of stochastic differential equations. J. Math. Kyoto Univ., 11:155–167, 1971.
G. Yin, Guangliang Zhao, and FukeWu. Regularization and stabilization of randomly switching dynamic systems. SIAM J. Appl. Math., 72(5):1361–1382, 2012.
George Yin and Chao Zhu. Hybrid Switching Diffusions: Properties and Applications, volume 63 of Stochastic Modelling and Applied Probability. Springer, New York, 2010.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Xi, F., Yin, G., Zhu, C. (2019). Regime-Switching Jump Diffusions with Non-Lipschitz Coefficients and Countably Many Switching States: Existence and Uniqueness, Feller, and Strong Feller Properties. In: Yin, G., Zhang, Q. (eds) Modeling, Stochastic Control, Optimization, and Applications. The IMA Volumes in Mathematics and its Applications, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-030-25498-8_23
Download citation
DOI: https://doi.org/10.1007/978-3-030-25498-8_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-25497-1
Online ISBN: 978-3-030-25498-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)