Large deviation principle for stochastic \(p\)-Laplacian reversible Selkov  lattice systems

Authors

DOI:

https://doi.org/10.61383/ejam.202533107

Keywords:

Gray-Scott lattice systems, Weak convergence, Uniform estimate, Large deviation

Abstract

The Selkov system is a classical model for autocatalytic biochemical reactions such as glycolysis and exhibits complex spatio-temporal patterns including self-excitation, oscillations, and spatial chaos.  In this paper, we consider stochastic \(p\)-Laplacian reversible Selkov lattice systems defined on the integer set \(\mathbb{Z}\), which possess two pairs of oppositely signed nonlinear terms and whose nonlinear couplings can grow polynomially with any order \(q \geq 1\), the inherent structure of the system precludes the possibility of any unidirectional dissipative influence arising from the interaction between the two coupled equations, thereby obstructing the emergence of a dominant energy-dissipation mechanism along a single directional pathway. In particular, our focus is on studying the asymptotic properties of the \((\psi^\gamma, \phi^\gamma)\) as the noise intensity \(\gamma \to 0\)  for the systems.  Based on the well-posedness and the convergence of the solutions of the controlled system associated with the considered system, by the weak convergence method, we establish the large deviation principle in \( C([0,T], \ell^2 \times \ell^2) \) for such infinite dimensional system. One of the advantages of the weak convergence method that does not rely on uniform exponential probability estimates of solutions. Moreover, a stopping time technique is used to prove \(\lim\limits_{\gamma \to 0} \left( \psi^\gamma_{z^\gamma} - \psi_{z^\gamma}, \phi^\gamma_{z^\gamma} - \phi_{z^\gamma} \right) = 0\) in probability in order to overcome the difficulty caused by the local monotonicity of the nonlinear and diffusion terms. Compared to the classical case of cubic nonlinearity, our results are not only more general in scope but also demonstrate a higher degree of novelty.

References

[1] M. Al-Ghoul, Dynamics and dissipation in an externally forced system, Physical Chemistry Chemical Physics (2000), 3773–3783. DOI: https://doi.org/10.1039/b004443l

[2] J. Bao and C. Yuan, Large deviations for neutral functional sdes with jumps, Stochastics: An International Journal of Probability and Stochastic Processes (2015), 48–70. DOI: https://doi.org/10.1080/17442508.2014.914516

[3] H. Bessaih, M. J. Garrido-Atienza, X. Han, and B. Schmalfuss, Stochastic lattice dynamical systems with fractional noise, SIAM Journal on Mathematical Analysis (2017), 1495–1518. DOI: https://doi.org/10.1137/16M1085504

[4] A. Budhiraja and P. Dupuis, A variational representation for positive functionals of infinite dimensional brownian motion, Probab. Math. Statist. (2000), 39–61.

[5] A. Budhiraja, P. Dupuis, and V. Maroulas, Large deviations for infinite dimensional stochastic dynamical systems, Ann. Probab. (2008), 1390–1420, Page range inferred from source text “1390-420”; please verify volume/issue/pages. DOI: https://doi.org/10.21236/ADA476159

[6] T. Caraballo, X. Han, and P. E. Kloeden, Nonautonomous chemostats with variable delays, SIAM Journal on Mathematical Analysis (2015), 2178–2199. DOI: https://doi.org/10.1137/14099930X

[7] A. N. Carvalho and C. B. Gentile, Asymptotic behaviour of non-linear parabolic equations with monotone principal part, Journal of Mathematical Analysis and Applications (2003), 252–272. DOI: https://doi.org/10.1016/S0022-247X(03)00037-4

[8] S. Cerrai and M. R ¨ockner, Large deviations for stochastic reaction-diffusion systems with multiplicative noise and non-lipschitz reaction term, Ann. Probab. (2004), 1100–1139, Page range inferred from source text “1100-39”; please verify volume/issue/pages. DOI: https://doi.org/10.1214/aop/1079021473

[9] P. Chen, M. M. Freitas, and X. Zhang, Random attractor, invariant measures, and ergodicity of lattice p -laplacian equations driven by superlinear noise, The Journal of Geometric Analysis 33 (2023), no. 3, Pages/article number not provided in source. DOI: https://doi.org/10.1007/s12220-022-01175-9

[10] Z. Chen, X. Sun, and B. Wang, Invariant measures and large deviation principles for stochastic schr¨odinger delay lattice systems, Proceedings of the Royal Society of Edinburgh Section A: Mathematics (2024), 1–42. DOI: https://doi.org/10.1017/prm.2024.20

[11] Z. Chen, D. Yang, and S. Zhong, Large deviation principle for stochastic fitzhugh–nagumo lattice systems, Communications in Nonlinear Science and Numerical Simulation (2024), Volume/issue/pages not provided in source. DOI: https://doi.org/10.1016/j.cnsns.2024.108070

[12] P. Dupuis and R. S. Ellis, A weak convergence approach to the theory of large deviations, Wiley, New York, 1997. DOI: https://doi.org/10.1002/9781118165904

[13] M. A. Efendiev and S. V. Zelik, The attractor for a nonlinear reaction-diffusion system in an unbounded domain, Communications on Pure and Applied Mathematics (2001), 625–688. DOI: https://doi.org/10.1002/cpa.1011

[14] M. I. Freidlin and A. D. Wentzell, Random perturbations of dynamical systems, Springer-Verlag, New York, 2012, Source author list appears inconsistent; please verify authors/edition. DOI: https://doi.org/10.1007/978-3-642-25847-3_8

[15] P. G. Geredeli, On the existence of regular global attractor for p -laplacian evolution equation, Applied Mathematics and Optimization (2015), 517–532. DOI: https://doi.org/10.1007/s00245-014-9268-y

[16] B. Gess, W. Liu, and A. Schenke, Random attractors for locally monotone stochastic partial differential equations, Journal of Differential Equations (2020), 3414–3455. DOI: https://doi.org/10.1016/j.jde.2020.03.002

[17] A. Goldbeter, Models for oscillation and excitability in biochemical systems, Mathematical Models in Molecular and Cell Biology (L. A. Segel, ed.), Cambridge University Press, Cambridge, UK, 1980, Pages not provided in source.

[18] P. Gray and S. K. Scott, Autocatalytic reactions in the isothermal continuous stirred tank reactor: Isolas and other forms of multistability, Chemical Engineering Science (1983), 29–43. DOI: https://doi.org/10.1016/0009-2509(83)80132-8

[19] A. Gu, Pullback D-attractor of nonautonomous three-component reversible gray–scott system on unbounded domains, Abstract and Applied Analysis (2013), Volume/issue/pages not provided in source. DOI: https://doi.org/10.1155/2013/719063

[20] A. Gu, S. Zhou, and Z. Wang, Uniform attractor of non-autonomous three-component reversible gray–scott system, Applied Mathematics and Computation (2013), 8718–8729. DOI: https://doi.org/10.1016/j.amc.2013.02.056

[21] C. Guo, Y. Guo, and X. Li, Upper semicontinuity of random attractors for nonautonomous stochastic reversible selkov system with multiplicative noise, Advances in Mathematical Physics (2019), Volume/issue/pages not provided in source. DOI: https://doi.org/10.1155/2019/2763245

[22] X. Han and H. N. Najm, Dynamical structures in stochastic chemical reaction systems, SIAM Journal on Applied Dynamical Systems (2014), 1328–1351. DOI: https://doi.org/10.1137/140957482

[23] N. Ju, Numerical analysis of parabolic p -laplacian: Approximation of trajectories, SIAM Journal on Numerical Analysis (2000), 1861–1884. DOI: https://doi.org/10.1137/S0036142998332840

[24] G. Kallianpur and J. Xiong, Large deviations for a class of stochastic partial differential equations, Ann. Probab. (1996), 320–345. DOI: https://doi.org/10.1214/aop/1042644719

[25] R. Kapral and K. Showalter (eds.), Chemical waves and patterns: Understanding chemical reactivity, Springer, 1994. DOI: https://doi.org/10.1007/978-94-011-1156-0

[26] P. E. Kloeden and J. Simsen, Attractors of asymptotically autonomous quasi-linear parabolic equation with spatially variable exponents, Journal of Mathematical Analysis and Applications (2015), 911–918. DOI: https://doi.org/10.1016/j.jmaa.2014.12.069

[27] A. Krause, M. Lewis, and B. Wang, Dynamics of the non-autonomous stochastic p -laplace equation driven by multiplicative noise, Applied Mathematics and Computation (2014), 365–376. DOI: https://doi.org/10.1016/j.amc.2014.08.033

[28] K. J. Lee and H. L. Swinney, Replicating spots in reaction-diffusion systems, International Journal of Bifurcation and Chaos (1997), 1149–1158. DOI: https://doi.org/10.1142/S0218127497000959

[29] H. Li, Attractors for the stochastic lattice selkov equations with additive noises, Journal of Applied Mathematics and Physics 7 (2019), no. 6, Pages not provided in source.

[30] Y. Li, A. Gu, and J. Li, Existence and continuity of bi-spatial random attractors and application to stochastic semilinear laplacian equations, Journal of Differential Equations (2015), 504–534. DOI: https://doi.org/10.1016/j.jde.2014.09.021

[31] Y. Li, L. She, and R. Wang, Asymptotically autonomous dynamics for parabolic equation, Journal of Mathematical Analysis and Applications (2018), 1106–1123. DOI: https://doi.org/10.1016/j.jmaa.2017.11.033

[32] Y. Li, S. Yang, and Q. Zhang, Continuous wong–zakai approximations of random attractors for quasi-linear equations with nonlinear noise, Qualitative Theory of Dynamical Systems 19 (2020), 87, Likely article number; please verify. DOI: https://doi.org/10.1007/s12346-020-00423-z

[33] W. Liu, Y. Song, J. Zhai, and T. Zhang, Large and moderate deviation principles for mckean–vlasov sdes with jumps, Potential Analysis (2023), 1141–1190. DOI: https://doi.org/10.1007/s11118-022-10005-0

[34] W. Liu, C. Tao, and J. Zhu, Large deviation principle for a class of spde with locally monotone coefficients, Sci. China Math. (2020), 1181–1202. DOI: https://doi.org/10.1007/s11425-018-9440-3

[35] I. Prigogine and R. Lefever, Symmetry-breaking instabilities in dissipative systems, Journal of Chemical Physics (1968), 1665–1700. DOI: https://doi.org/10.1063/1.1668896

[36] P. Richter, P. Rehmus, and J. Ross, Control and dissipation in oscillatory chemical engines, Progress in Theoretical Physics (1981), 385–405. DOI: https://doi.org/10.1143/PTP.66.385

[37] M. R ¨ockner and T. Zhang, Stochastic evolution equations of jump type: Existence, uniqueness and large deviation principles, Potential Analysis (2007), 255–279. DOI: https://doi.org/10.1007/s11118-006-9035-z

[38] L. A. Segel, Mathematical models in molecular and cellular biology, Cambridge University Press, 1980.

[39] E. E. Selkov, Self-oscillations in glycolysis: A simple kinetic model, European Journal of Biochemistry (1968), 79–86. DOI: https://doi.org/10.1111/j.1432-1033.1968.tb00175.x

[40] R. B. Sowers, Large deviations for a reaction-diffusion equation with non-gaussian perturbations, Annals of Probability (1992), 504–537. DOI: https://doi.org/10.1214/aop/1176989939

[41] S. H. Strogatz, Nonlinear dynamics and chaos, Westview Press, Cambridge, MA, 1994.

[42] M. Sui, Y. Wang, X. Han, and P. E. Kloeden, Random recurrent neural networks with delays, Journal of Differential Equations (2020), 8597–8639. DOI: https://doi.org/10.1016/j.jde.2020.06.008

[43] R. Temam, Infinite-dimensional dynamical systems in mechanics and physics, Springer, New York, 1997. DOI: https://doi.org/10.1007/978-1-4612-0645-3

[44] Y. Termonia and J. Ross, Oscillations and control features in glycolysis: Analysis of resonance effects, Proceedings of the National Academy of Sciences of the United States of America (1981), 3563–3566. DOI: https://doi.org/10.1073/pnas.78.6.3563

[45] B. Wang, Large deviation principles of stochastic reaction-diffusion lattice systems, Discrete and Continuous Dynamical Systems – Series B (2024), 1319–1343, Volume/issue not provided in source. DOI: https://doi.org/10.3934/dcdsb.2023135

[46] R. Wang and B. Wang, Random dynamics of p -laplacian lattice systems driven by infinite-dimensional nonlinear noise, Stochastic Processes and their Applications 130 (2020), no. 12, Pages/DOI not provided in source. DOI: https://doi.org/10.1016/j.spa.2020.08.002

[47] X. Wang, K. Lu, and B. Wang, Random attractors for delay parabolic equations with additive noise and deterministic nonautonomous forcing, SIAM Journal on Applied Dynamical Systems (2015), 1018–1047. DOI: https://doi.org/10.1137/140991819

[48] X. Wang, J. Zhang, and J. Huang, Upper semi-continuity of numerical attractors for deterministic and random lattice reversible selkov systems, Zeitschrift f ¨ur angewandte Mathematik und Physik 75 (2024), no. 6, Pages/DOI not provided in source. DOI: https://doi.org/10.1007/s00033-024-02380-y

[49] Y. Wang, C. Guo, Y. Wu, and R. Wang, Existence and stability of invariant/periodic measures of lattice reversible selkov systems driven by locally lipschitz noise, Revista de la Real Academia de Ciencias Exactas, F´ısicas y Naturales. Serie A. Matem´aticas 118 (2024), no. 1, Pages/DOI not provided in source. DOI: https://doi.org/10.1007/s13398-023-01543-2

[50] Y. Wang, X. Qin, H. Bai, and Y. Wang, Weak pullback mean attractor for p -laplacian selkov lattice systems with locally lipschitz delay diffusion terms, Electronic Journal of Applied Mathematics (2023), 1–17. DOI: https://doi.org/10.61383/ejam.20231233

[51] Y. You, Global dynamics of the brusselator equations, Dynamics of Partial Differential Equations (2007), 167–196. DOI: https://doi.org/10.4310/DPDE.2007.v4.n2.a4

[52] Y. You, Global attractor of the gray–scott equations, Communications on Pure and Applied Analysis (2008), 947–970. DOI: https://doi.org/10.3934/cpaa.2008.7.947

[53] Y. You, Asymptotical dynamics of selkov equations, Discrete and Continuous Dynamical Systems (2009), 193–219, Series information not provided in source. DOI: https://doi.org/10.3934/dcdss.2009.2.193

[54] Y. You, Global dissipation and attraction of three-component schnackenberg systems, Proceedings of the International Workshop on Nonlinear and Modern Mathematical Physics (Melville, New York), American Institute of Physics, 2010, Editors listed in source: W. X. Ma, X. B. Hu, Q. P. Liu., pp. 293–311. DOI: https://doi.org/10.1063/1.3367072

[55] Y. You, Global dynamics and robustness of reversible autocatalytic reaction-diffusion systems, Nonlinear Analysis: Theory, Methods and Applications (2012), 3049–3071. DOI: https://doi.org/10.1016/j.na.2011.12.002

[56] Y. You, Random attractors and robustness for stochastic reversible reaction-diffusion systems, Discrete and Continuous Dynamical Systems (2013), 301–333. DOI: https://doi.org/10.3934/dcds.2014.34.301

[57] Y. You, Upper-semicontinuity of global attractors for reversible schnackenberg equations, Studies in Applied Mathematics (2013), 232–263. DOI: https://doi.org/10.1111/j.1467-9590.2012.00565.x

Downloads

Published

2025 Sep 17

Issue

Section

Research Article

How to Cite

[1]
“Large deviation principle for stochastic \(p\)-Laplacian reversible Selkov  lattice systems”, Electron. J. Appl. Math., vol. 3, no. 3, pp. 34–63, Sep. 2025, doi: 10.61383/ejam.202533107.

Most read articles by the same author(s)