logo

Authors

Ratsarasaina R. M. Faculty of Sciences Technology, Departement of Mathematics and Informatics, University of Antananarivo, B.P.906, Ankatso, 101, Antananarivo, Madagascar. Author
Rabeherimanana T. J. Corresponding author, Faculty of Sciences Technology, Department of Mathematics and Informatics, University of Antananarivo, B.P.906, Ankatso, 101, Antananarivo, Madagascar. Author

DOI:

https://doi.org/10.69717/ijams.v1.i1.105

Keywords:

Large Deviations Principle, Moderate Deviations Principle, Central Limit Theorem, Holder space, Stochastic Cahn-Hilliard equation, Green’s function, Freidlin-Wentzell’s method

Abstract

We consider a stochastic Cahn-Hilliard partial differential equation driven by a space-time white noise. In this paper, we prove a Central Limit Theorem (CLT) and a Moderate Deviation Principle (MDP) for a perturbed stochastic Cahn-Hilliard equation in Holder norm. The techniques are based on Freidlin-Wentzell’s Large Deviations Principle. The exponential estimates in the space of Holder continuous functions and the Garsia-Rodemich-Rumsey’s lemma plays an important role, an another approach than the Li.R. ¨and Wang.X. Finally, we establish the CLT and MDP for stochastic Cahn-Hilliard equation with uniformly Lipschitzian coefficients.

MSC: 60H15, 60F05, 35B40, 35Q62

REFERENCES
[1] Ben Arous, G., & Ledoux, M. (1994). Grandes déviations de Freidlin-Wentzell en norme hölderienne. Séminaire de probabilités de Strasbourg28, 293-299 .‏ Search in Google Scholar   Article view
[2] Boulanba, L., & Mellouk, M. (2020). Large deviations for a stochastic Cahn–Hilliard equation in Hölder norm. Infinite Dimensional Analysis, Quantum Probability and Related Topics23(02), 2050010.. Search in Google Scholar   Digital Object Identifier
[3] Cahn, J. W., & Hilliard, J. E. (1971). Spinodal decomposition: A reprise. Acta Metallurgica19(2), 151-161.‏. Search in Google Scholar   Digital Object Identifier
[4] Cahn, J. W., & Hilliard, J. E. (1958). Free energy of a nonuniform system. I. Interfacial free energy. The Journal of chemical physics28(2), 258-267.. Search in Google Scholar   Digital Object Identifier
[5] Cardon-Weber, C. (2001). Cahn-Hilliard stochastic equation: existence of the solution and of its density. Bernoulli, 777-816.. Search in Google Scholar   Digital Object Identifier
[6] Chenal, F., & Millet, A. (1997). Uniform large deviations for parabolic SPDEs and applications. Stochastic Processes and their Applications72(2), 161-186. Search in Google Scholar   Digital Object Identifier
[7] Freidlin, M. I. (1970). On small random perturbations of dynamical systems. Russian Mathematical Surveys25(1), 1-55. Search in Google Scholar   Digital Object Identifier
[8] Li, R., & Wang, X. (2018). Central limit theorem and moderate deviations for a stochastic Cahn-Hilliard equation. arXiv preprint arXiv:1810.05326.. Search in Google Scholar   Digital Object Identifier
[9] Walsh, J. B. (1986). An introduction to stochastic partial differential equations. Lecture notes in mathematics, 265-439.‏.  Search in Google Scholar   Digital Object Identifier
[10] Wang, R., & Zhang, T. (2015). Moderate deviations for stochastic reaction-diffusion equations with multiplicative noise. Potential Analysis42, 99-113.‏. Search in Google Scholar   Digital Object Identifier

Communicated Editor: Chala Adel
Manuscript received Dec 07, 2023; revised Fb 09, 2024; accepted Feb 16, 2024; published May 13, 2024.

Downloads

Download data is not yet available.

Downloads

Published

2024-05-13

How to Cite

Moderate Deviations Principle and Central Limit Theorem for Stochastic Cahn-Hilliard Equation in Holder Norm. (2024). International Journal of Applied Mathematics and Simulation, 1(1). https://doi.org/10.69717/ijams.v1.i1.105