Abstract
What can one get to know about the dynamical system from its small random perturbation? What can one say about solutions of an ordinary differential equation\(\dot x_1 = B(x_1 )\) having some information on its singular perturbation operatorL ɛ=ɛL+(B,∇) withL being an elliptic second order operator? These problems are studied in the paper.
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References
D. G. Aronson,Non-negative solutions of linear parabolic equations, Ann. Scuola Norm. Sup. Pisa (3)22 (1968), 607–697.
A. Friedman,Stochastic Differential Equations and Applications, Vols. 1, 2, Academic Press, New York, 1975.
R. Z. Hasminskii,The averaging principle for parabolic and elliptic differential equations and Markov processes with small diffusion, Theor. Probability Appl.8 (1963), 1–21.
Yu. I. Kifer,On small random perturbations of some smooth dynamical systems, Math. USSR-Izv.8 (1974), 1083–1107.
Yu. Kifer,On the principal eigenvalue in a singular perturbation problem with hyperbolic limit points and circles, J. Differential Equations37 (1980), 108–139.
Yu. I. Kifer,Stochastic stability of the topological pressure, J. Analyse Math.38 (1980), 255–286.
A. D. Ventcel and M. I. Freidlin,On small random perturbations of dynamical systems, Russian Math. Surveys25 (1970), 1–56.
A. D. Ventcel,On the asymptotic behavior of the first eigenvalue of a second-order differential operator with small parameter in higher derivatives, Theor. Probability Appl.20 (1975), 599–602.
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Kifer, Y. The inverse problem for small random perturbations of dynamical systems. Israel J. Math. 40, 165–174 (1981). https://doi.org/10.1007/BF02761907
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DOI: https://doi.org/10.1007/BF02761907