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Convergence, boundedness, and ergodicity of regime-switching diusion processes with infinite memory |
Jun LI1,2, Fubao XI1,3( ) |
1. School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, China 2. Department of Applied Mathematics, Lanzhou University of Technology, Lanzhou 730050, China 3. Beijing Key Laboratory on MCAACI, Beijing Institute of Technology, Beijing 100081, China |
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Abstract We study a class of diffusion processes, which are determined by solutions X(t) to stochastic functional differential equation with infinite memory and random switching represented by Markov chain Λ(t): Under suitable conditions, we investigate convergence and boundedness of both the solutions X(t) and the functional solutions Xt: We show that two solutions (resp., functional solutions) from different initial data living in the same initial switching regime will be close with high probability as time variable tends to infinity, and that the solutions (resp., functional solutions) are uniformly bounded in the mean square sense. Moreover, we prove existence and uniqueness of the invariant probability measure of two-component Markov-Feller process (Xt,Λ(t)); and establish exponential bounds on the rate of convergence to the invariant probability measure under Wasserstein distance. Finally, we provide a concrete example to illustrate our main results.
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| Keywords
Regime-switching diffusion process
infinite memory
convergence
boundedness
Feller property
invariant measure
Wasserstein distance
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Corresponding Author(s):
Fubao XI
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Issue Date: 01 June 2021
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| 1 |
J Bao, J Shao, C Yuan. Approximation of invariant measures for regime-switching diffusions.Potential Anal, 2016, 44: 707–727
https://doi.org/10.1007/s11118-015-9526-x
|
| 2 |
J Bao, J Shao, C Yuan. Invariant measures for path-dependent random diffusions. arXiv: 1706.05638v1
|
| 3 |
J Bao, F-Y Wang, C Yuan. Ergodicity for neutral type SDEs with infinite length of memory. arXiv: 1805.03431v3
|
| 4 |
J Bao, G, Yin C Yuan. Ergodicity for functional stochastic differential equations and applications. Nonlinear Anal, 2014, 98: 66–82
https://doi.org/10.1016/j.na.2013.12.001
|
| 5 |
J Bardet, H Guérin, F Malrieu. Long time behavior of diffusions with Markov switching. ALEA Lat Am J Probab Math Stat, 2010, 7: 151–170
|
| 6 |
M-F Chen. From Markov Chains to Non-equilibrium Particle Systems.Singapore: World Scientific Publishing Co Pte Ltd, 2004
https://doi.org/10.1142/5513
|
| 7 |
B Cloez, M Hairer. Exponential ergodicity for Markov processes with random switching. Bernoulli, 2015, 21: 505–536
https://doi.org/10.3150/13-BEJ577
|
| 8 |
G Da Prato, J Zabczyk. Ergodicity for Infinite Dimensional Systems.Cambridge: Cambridge Univ Press, 1996
https://doi.org/10.1017/CBO9780511662829
|
| 9 |
M Hairer, J C Mattingly, M Scheutzow. Asymptotic coupling and a general form of Harris' theorem with applications to stochastic delay equations. Probab Theory Related Fields, 2011, 149: 223–259
https://doi.org/10.1007/s00440-009-0250-6
|
| 10 |
J K Hale, S M V Lunel. Introduction to Functional Differential Equations.Berlin: Springer-Verlag, 1993
https://doi.org/10.1007/978-1-4612-4342-7
|
| 11 |
Y Hino, T Naito, S Murakami. Functional Differential Equations with Infinite Delay. Berlin-New York: Springer-Verlag, 1991
https://doi.org/10.1007/BFb0084432
|
| 12 |
F Kappel, W Schappacher. Some considerations to the fundamental theory of infinite delay equation. J Differential Equations, 1980, 37: 141–183
https://doi.org/10.1016/0022-0396(80)90093-5
|
| 13 |
X Ma, F Xi. Large deviations for empirical measures of switching diffusion processes with small parameters. Front Math China, 2015, 10: 949–963
https://doi.org/10.1007/s11464-015-0486-7
|
| 14 |
X Mao. Stochastic Differential Equations and Applications.Chichester: Horwood, 1997
|
| 15 |
X Mao, C Yuan. Stochastic Differential Equations with Markovian Switching. London:Imperial College Press, 2006
https://doi.org/10.1142/p473
|
| 16 |
S-E A Mohammed. Stochastic Functional Differential Equations. Harlow-New York: Longman, 1986
|
| 17 |
B. ksendalStochastic Differential Equations: An Introduction with Applications. 6th ed. Berlin: Springer-Verlag, 2003
https://doi.org/10.1007/978-3-642-14394-6
|
| 18 |
J Shao. Ergodicity of regime-switching diffusions in Wasserstein distances. Stochastic Process Appl, 2015, 125: 739–758
https://doi.org/10.1016/j.spa.2014.10.007
|
| 19 |
J Shao. Invariant measures and Euler-Maruyama's approximations of state-dependent regime-switching diffusions. SIAM J Control Optim, 2018, 56: 3215–3238
https://doi.org/10.1137/18M116678X
|
| 20 |
J Tong, X Jin, Z. ZhangExponential ergodicity for SDEs driven by ff-stable processes with Markovian switching in Wasserstein distances. Potential Anal, 2017, 97: 1–22
https://doi.org/10.1080/00036811.2017.1307966
|
| 21 |
C Villani. Optimal Transport: Old and New. Grundlehren Math Wiss, Vol 338.Berlin- Heidelberg: Springer, 2009
https://doi.org/10.1007/978-3-540-71050-9
|
| 22 |
L Wang, F. WuExistence, uniqueness and asymptotic properties of a class of nonlinear stochastic differential delay equations with Markovian switching. Stoch Dyn, 2009, 9: 253–275
https://doi.org/10.1142/S021949370900266X
|
| 23 |
F, Wu Y Xu. Stochastic Lotka-Volterra population dynamics with infinite delay. SIAM J Appl Math, 2009, 70: 641–657
https://doi.org/10.1137/080719194
|
| 24 |
F Wu, G Yin, H Mei. Stochastic functional differential equations with infinite delay: existence and uniqueness of solutions, solution map, Markov properties, and ergodicity. J Differential Equations, 2017, 262: 1226–1252
https://doi.org/10.1016/j.jde.2016.10.006
|
| 25 |
F Xi. On the stability of jump-diffusions with Markovian switching. J Math Anal Appl, 2008, 341: 588–600
https://doi.org/10.1016/j.jmaa.2007.10.018
|
| 26 |
F Xi. Asymptotic properties of jump-diffusion processes with state-dependent switching. Stochastic Process Appl, 2009, 119: 2198–2221
https://doi.org/10.1016/j.spa.2008.11.001
|
| 27 |
F Xi, C Zhu. On Feller and strong Feller properties and exponential ergodicity of regime-switching jump diffusion processes with countable regimes. SIAM J Control Optim, 2017, 55: 1789–1818
https://doi.org/10.1137/16M1087837
|
| 28 |
G Yin, F Xi. Stability of regime-switching jump diffusions. SIAM J Control Optim, 2010, 48: 4525–4549
https://doi.org/10.1137/080738301
|
| 29 |
G Yin, C. ZhuHybrid Switching Diffusions: Properties and Applications.New York: Springer, 2010
https://doi.org/10.1007/978-1-4419-1105-6
|
| 30 |
C Yuan, J Zou, X Mao. Stability in distribution of stochastic differential delay equations with Markovian switching. Systems Control Lett, 2003, 50: 195–207
https://doi.org/10.1016/S0167-6911(03)00154-3
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