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Invariant measures and large deviation principles for stochastic Schrödinger delay lattice systems

Published online by Cambridge University Press:  04 March 2024

Zhang Chen
Affiliation:
School of Mathematics, Shandong University, Jinan 250100, People's Republic of China (zchen@sdu.edu.cn, xsun@mail.sdu.edu.cn)
Xiaoxiao Sun
Affiliation:
School of Mathematics, Shandong University, Jinan 250100, People's Republic of China (zchen@sdu.edu.cn, xsun@mail.sdu.edu.cn)
Bixiang Wang
Affiliation:
Department of Mathematics, New Mexico Institute of Mining and Technology, Socorro 87801, NM, USA (bwang@nmt.edu)

Abstract

This paper is concerned with stochastic Schrödinger delay lattice systems with both locally Lipschitz drift and diffusion terms. Based on the uniform estimates and the equicontinuity of the segment of the solution in probability, we show the tightness of a family of probability distributions of the solution and its segment process, and hence the existence of invariant measures on $l^2\times L^2((-\rho,\,0);l^2)$ with $\rho >0$. We also establish a large deviation principle for the solutions with small noise by the weak convergence method.

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Type
Research Article
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of The Royal Society of Edinburgh

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References

Bao, J. and Yuan, C.. Large deviations for neutral functional SDEs with jumps. Stochastics 87 (2015), 4870.10.1080/17442508.2014.914516CrossRefGoogle Scholar
Bates, P. W., Lu, K. and Wang, B.. Attractors of non-autonomous stochastic lattice systems in weighted spaces. Phys. D 289 (2014), 3250.10.1016/j.physd.2014.08.004CrossRefGoogle Scholar
Bessaih, H., Garrido-Atienza, M. J., Han, X. and Schmalfuss, B.. Stochastic lattice dynamical systems with fractional noise. SIAM J. Math. Anal. 49 (2017), 14951518.10.1137/16M1085504CrossRefGoogle Scholar
Billingsley, P.. Convergence of Probability Measures (New York, Wiley, 1999).10.1002/9780470316962CrossRefGoogle Scholar
Boué, M. and Dupuis, P.. A variational representation for certain functionals of Brownian motion. Ann. Probab. 26 (1998), 16411659.10.1214/aop/1022855876CrossRefGoogle Scholar
Budhiraja, A., Chen, J. and Dupuis, P.. Large deviations for stochastic partial differential equations driven by a Poisson random measure. Stoch. Process. Appl. 123 (2013), 523560.10.1016/j.spa.2012.09.010CrossRefGoogle Scholar
Budhiraja, A. and Dupuis, P.. A variational representation for positive functionals of infinite dimensional Brownian motion. Probab. Math. Statist. 20 (2000), 3961.Google Scholar
Budhiraja, A., Dupuis, P. and Maroulas, V.. Large deviations for infinite dimensional stochastic dynamical systems. Ann. Probab. 36 (2008), 13901420.10.1214/07-AOP362CrossRefGoogle Scholar
Caraballo, T., Morillas, F. and Valero, J.. Attractors of stochastic lattice dynamical systems with a multiplicative noise and non-Lipschitz nonlinearities. J. Differ. Equ. 253 (2012), 667693.10.1016/j.jde.2012.03.020CrossRefGoogle Scholar
Cerrai, S. and Debussche, A.. Large deviations for the two-dimensional stochastic Navier–Stokes equation with vanishing noise correlation. Ann. Inst. Henri Poincaré Probab. Statist. 55 (2019), 211236.10.1214/17-AIHP881CrossRefGoogle Scholar
Chen, Y. and Gao, H.. Well-posedness and large deviations for a class of SPDEs with Lévy noise. J. Differ. Equ. 263 (2017), 52165252.10.1016/j.jde.2017.06.016CrossRefGoogle Scholar
Chen, Z., Li, X. and Wang, B.. Invariant measures of stochastic delay lattice systems. Discrete Contin. Dyn. Syst. Ser. B 26 (2021), 32353269.Google Scholar
Chen, Z., Sun, X. and Yang, D.. Ergodicity and approximations of invariant measures for stochastic lattice systems with Markovian switching. Stoch. Anal. Appl. 41 (2023), 11551190.10.1080/07362994.2022.2144375CrossRefGoogle Scholar
Chen, Z. and Wang, B.. Existence, exponential mixing and convergence of periodic measures of fractional stochastic delay reaction-diffusion equations on $\mathbb {R}^n$. J. Differ. Equ. 336 (2022), 505564.10.1016/j.jde.2022.07.026CrossRefGoogle Scholar
Chen, Z. and Wang, B.. Weak mean attractors and invariant measures for stochastic Schrödinger delay lattice systems. J. Dyn. Differ. Equ. 35 (2023), 32013240.10.1007/s10884-021-10085-3CrossRefGoogle Scholar
Chen, Z., Wang, B. and Yang, L.. Invariant measures of stochastic Schrödinger delay lattice systems (in Chinese). Sci. Sin. Math. 52 (2022), 10151032. https://www.sciengine.com/SSM/doi/10.1360/SCM-2021-0034.Google Scholar
Da Prato, G. and Zabczyk, J.. Stochastic Equations in Infinite Dimensions (Cambridge, Cambridge University Press, 1992).10.1017/CBO9780511666223CrossRefGoogle Scholar
Dupuis, P. and Ellis, R. S.. A Weak Convergence Approach to the Theory of Large Deviations (New York, Wiley-Interscience, 1997).10.1002/9781118165904CrossRefGoogle Scholar
Freidlin, M. I. and Wentzell, A. D.. Random Perturbations of Dynamical Systems (New York, Springer, 1984).10.1007/978-1-4684-0176-9CrossRefGoogle Scholar
Han, X., Shen, W. and Zhou, S.. Random attractors for stochastic lattice dynamical systems in weighted spaces. J. Differ. Equ. 250 (2011), 12351266.10.1016/j.jde.2010.10.018CrossRefGoogle Scholar
Jin, D., Chen, Z. and Zhou, T., Large deviations principle for stochastic delay differential equations with super-linearly growing coefficients, (2022). arXiv:2201.00143.Google Scholar
Li, D., Lin, Y. and Pu, Z.. Non-autonomous stochastic lattice systems with Markovian switching. Discrete Contin. Dyn. Syst. 43 (2023), 18601877.10.3934/dcds.2022181CrossRefGoogle Scholar
Li, D., Wang, B. and Wang, X.. Periodic measures of stochastic delay lattice systems. J. Differ. Equ. 272 (2021), 74104.10.1016/j.jde.2020.09.034CrossRefGoogle Scholar
Lin, Y. and Li, D.. Limiting behavior of invariant measures of highly nonlinear stochastic retarded lattice systems. Discrete Contin. Dyn. Syst. Ser. B 27 (2022), 75617590.10.3934/dcdsb.2022054CrossRefGoogle Scholar
Liu, W.. Large deviations for stochastic evolution equations with small multiplicative noise. Appl. Math. Optim. 61 (2010), 2756.10.1007/s00245-009-9072-2CrossRefGoogle Scholar
Lipshutz, D.. Exit time asymptotics for small noise stochastic delay differential equations. Discrete Contin. Dyn. Syst. 38 (2018), 30993138.10.3934/dcds.2018135CrossRefGoogle Scholar
Mohammed, Salah-Eldin A. and Zhang, T.. Large deviations for stochastic systems with memory. Discrete Contin. Dyn. Syst. Ser. B 6 (2006), 881893.Google Scholar
Röckner, M., Zhang, T. and Zhang, X.. Large deviations for stochastic tamed 3D Navier–Stokes equations. Appl. Math. Optim. 61 (2010), 267285.10.1007/s00245-009-9089-6CrossRefGoogle Scholar
Sritharan, S. S. and Sundar, P.. Large deviations for the two dimensional Navier–Stokes equations with multiplicative noise. Stoch. Process. Appl. 116 (2006), 16361659.10.1016/j.spa.2006.04.001CrossRefGoogle Scholar
Suo, Y. and Yuan, C.. Large deviations for neutral stochastic functional differential equations. Commun. Pure Appl. Anal. 19 (2020), 23692384.10.3934/cpaa.2020103CrossRefGoogle Scholar
Wang, B.. Dynamics of stochastic reaction-diffusion lattice systems driven by nonlinear noise. J. Math. Anal. Appl. 477 (2019), 104132.10.1016/j.jmaa.2019.04.015CrossRefGoogle Scholar
Wang, B. and Wang, R.. Asymptotic behavior of stochastic Schrödinger lattice systems driven by nonlinear noise. Stoch. Anal. Appl. 38 (2020), 213237.10.1080/07362994.2019.1679646CrossRefGoogle Scholar
Wang, B., Large deviation principles of stochastic reaction-diffusion lattice systems. Discrete Contin. Dyn. Syst. Ser. B 29 (2024), 1319–1343.Google Scholar
Wang, R.. Long-time dynamics of stochastic lattice plate equations with nonlinear noise and damping. J. Dyn. Differ. Equ. 33 (2021), 767803.10.1007/s10884-020-09830-xCrossRefGoogle Scholar
Wang, W. and Duan, J.. Reductions and deviations for stochastic partial differential equations under fast dynamical boundary conditions. Stoch. Anal. Appl. 27 (2009), 431459.10.1080/07362990802679166CrossRefGoogle Scholar
Wang, X., Kloeden, P. E. and Han, X.. Stochastic dynamics of a neural field lattice model with state dependent nonlinear noise. Nonlinear Differ. Equ. Appl. 28 (2021), 43.10.1007/s00030-021-00705-8CrossRefGoogle Scholar
Wang, Y., Wu, F. and Mao, X.. Stability in distribution of stochastic functional differential equations. Syst. Control Lett. 132 (2019), 104513.10.1016/j.sysconle.2019.104513CrossRefGoogle Scholar