Jamilov, U. U.; Scheutzow, M.; Wilke-Berenguer, M. On the random dynamics of Volterra quadratic operators. (English) Zbl 1408.37090 Ergodic Theory Dyn. Syst. 37, No. 1, 228-243 (2017). Summary: We consider random dynamical systems generated by a special class of Volterra quadratic stochastic operators on the simplex \(S^{m-1}\). We prove that in contrast to the deterministic set-up the trajectories of the random dynamical system almost surely converge to one of the vertices of the simplex \(S^{m-1}\), implying the survival of only one species. We also show that the minimal random point attractor of the system equals the set of all vertices. The convergence proof relies on a martingale-type limit theorem, which we prove in the appendix. Cited in 19 Documents MSC: 37H10 Generation, random and stochastic difference and differential equations 37C70 Attractors and repellers of smooth dynamical systems and their topological structure 60H25 Random operators and equations (aspects of stochastic analysis) 47H40 Random nonlinear operators Keywords:stochastic operators; random dynamical system; random point attractor PDF BibTeX XML Cite \textit{U. U. Jamilov} et al., Ergodic Theory Dyn. Syst. 37, No. 1, 228--243 (2017; Zbl 1408.37090) Full Text: DOI arXiv Link OpenURL References: [1] Arnold, L., Random Dynamical Systems, (1998), Springer: Springer, Berlin [2] Bernstein, S. N.. The solution of a mathematical problem related to the theory of heredity. Uchn. Zapiski NI Kaf. Ukr. Otd. Mat.(1) (1924), 83-115 (in Russian). [3] Chueshov, I. and Scheutzow, M.. On the structure of attractors and invariant measures for a class of monotone random systems. Dyn. 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