On Lyapunov exponents of difference equations with random delay

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May 2015, 20(3): 861-874. doi: 10.3934/dcdsb.2015.20.861

On Lyapunov exponents of difference equations with random delay

Nguyen Dinh Cong ^1, , Thai Son Doan ^2, and Stefan Siegmund ^3,

1.	Institute of Mathematics, Vietnamese Academy of Science and Technology, 18 Hoang Quoc Viet Road, 10307 Hanoi, Vietnam
2.	Institute of Mathematics, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, 10307 Ha Noi, Vietnam
3.	Institute for Analysis & Center for Dynamics, Department of Mathematics, Technische Universität Dresden, Zellescher Weg 12-14, 01069 Dresden, Germany

Received November 2013 Revised August 2014 Published January 2015

Abstract
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The multiplicative ergodic theorem by Oseledets on Lyapunov spectrum and Oseledets subspaces is extended to linear random difference equations with random delay. In contrast to the general multiplicative ergodic theorem by Lian and Lu, we can prove that a random dynamical system generated by a difference equation with random delay cannot have infinitely many Lyapunov exponents.

Keywords: Random difference equations, random delay, multiplicative ergodic theorem, Lyapunov exponent..

Mathematics Subject Classification: Primary: 37H10, 37H15; Secondary: 39A0.

Citation: Nguyen Dinh Cong, Thai Son Doan, Stefan Siegmund. On Lyapunov exponents of difference equations with random delay. Discrete & Continuous Dynamical Systems - B, 2015, 20 (3) : 861-874. doi: 10.3934/dcdsb.2015.20.861

References:

[1]	L. Arnold, Random Dynamical Systems,, Springer-Verlag, (1998). doi: 10.1007/978-3-662-12878-7.
[2]	L. Arnold and N. D. Cong, Generic properties of Lyapunov exponents,, Random Comput. Dynam., 2 (1994), 335.
[3]	I. P. Cornfeld, S. V. Fomin and Y. G. Sinaĭ, Ergodic Theory,, Springer-Verlag, (1982). doi: 10.1007/978-1-4615-6927-5.
[4]	H. Crauel, T. S. Doan and S. Siegmund, Difference equations with random delay,, J. Difference Equ. Appl., 15 (2009), 627. doi: 10.1080/10236190802612865.
[5]	T. S. Doan and S. Siegmund, Differential equations with random delay,, Fields Inst. Commun., 64 (2013), 279. doi: 10.1007/978-1-4614-4523-4_11.
[6]	R. C. Ferreira, M. R. S. Briones and F. Antoneli, A model of gene expression based on random dynamical systems reveals modularity properties of gene regulatory networks,, preprint, (2013).
[7]	M. J. Garrido-Atienza, A. Ogrowsky and B. Schmalfuss, Random differential equations with random delays,, Stoch. Dyn., 11 (2011), 369. doi: 10.1142/S0219493711003358.
[8]	Y. Hino, S. Murakami and T. Naito, Functional Differential Equations with Infinite Delay,, Lecture Notes in Mathematics, (1473).
[9]	Z. Lian and K. Lu, Lyapunov exponents and invariant manifolds for random dynamical systems in a Banach space,, Mem. Amer. Math. Soc., 206 (2010). doi: 10.1090/S0065-9266-10-00574-0.
[10]	P. Walter, An Introduction to Ergodic Theory,, Graduate Texts in Mathematics, (1982).
[11]	F. Wu, G. G. Yin and L. Y. Wang, Stability of a pure random delay system with two-time-scale Markovian switching,, J. Differential Equations, 253 (2012), 878. doi: 10.1016/j.jde.2012.04.017.
[12]	F. Wu and P. E. Kloeden, Mean-square random attractors of stochastic delay differential equations with random delay,, Discrete Contin. Dyn. Syst. Ser. B, 18 (2013), 1715. doi: 10.3934/dcdsb.2013.18.1715.

show all references

References:

[1]	L. Arnold, Random Dynamical Systems,, Springer-Verlag, (1998). doi: 10.1007/978-3-662-12878-7.
[2]	L. Arnold and N. D. Cong, Generic properties of Lyapunov exponents,, Random Comput. Dynam., 2 (1994), 335.
[3]	I. P. Cornfeld, S. V. Fomin and Y. G. Sinaĭ, Ergodic Theory,, Springer-Verlag, (1982). doi: 10.1007/978-1-4615-6927-5.
[4]	H. Crauel, T. S. Doan and S. Siegmund, Difference equations with random delay,, J. Difference Equ. Appl., 15 (2009), 627. doi: 10.1080/10236190802612865.
[5]	T. S. Doan and S. Siegmund, Differential equations with random delay,, Fields Inst. Commun., 64 (2013), 279. doi: 10.1007/978-1-4614-4523-4_11.
[6]	R. C. Ferreira, M. R. S. Briones and F. Antoneli, A model of gene expression based on random dynamical systems reveals modularity properties of gene regulatory networks,, preprint, (2013).
[7]	M. J. Garrido-Atienza, A. Ogrowsky and B. Schmalfuss, Random differential equations with random delays,, Stoch. Dyn., 11 (2011), 369. doi: 10.1142/S0219493711003358.
[8]	Y. Hino, S. Murakami and T. Naito, Functional Differential Equations with Infinite Delay,, Lecture Notes in Mathematics, (1473).
[9]	Z. Lian and K. Lu, Lyapunov exponents and invariant manifolds for random dynamical systems in a Banach space,, Mem. Amer. Math. Soc., 206 (2010). doi: 10.1090/S0065-9266-10-00574-0.
[10]	P. Walter, An Introduction to Ergodic Theory,, Graduate Texts in Mathematics, (1982).
[11]	F. Wu, G. G. Yin and L. Y. Wang, Stability of a pure random delay system with two-time-scale Markovian switching,, J. Differential Equations, 253 (2012), 878. doi: 10.1016/j.jde.2012.04.017.
[12]	F. Wu and P. E. Kloeden, Mean-square random attractors of stochastic delay differential equations with random delay,, Discrete Contin. Dyn. Syst. Ser. B, 18 (2013), 1715. doi: 10.3934/dcdsb.2013.18.1715.

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