Abstract
Let \(S^{m-1}\) be the simplex in \({{\mathbb {R}}}^m\), and \(V:S^{m-1}\rightarrow S^{m-1}\) be a nonlinear mapping then this operator satisfies an ergodic theorem if the limit
exists for every \(x\in S^{m-1}\). It is a well known fact that this ergodicity may fail for Volterra quadratic operators, so it is natural to characterize all non-ergodic operators. However, there is an ongoing problem even in the low dimensional simplexes. In this paper, we solve the mentioned problem within Volterra cubic stochastic operators acting on two-dimensional simplex.
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References
Akin, E., Losert, V.: Evolutionary dynamics of zero-sum games. J. Math. Biol. 20, 231–258 (1984)
Bernstein, S.N.: Solution of a mathematical problem connected with the theory of heredity. Ann. Math. Stat. 13, 53–61 (1942)
Devaney, R.L.: An Introduction to Chaotic Dynamical Systems. Westview Press, Boulder (2003)
Elaydi, S.N.: Discrete chaos. Chapman & Hall/CRC, Boca Raton (2000)
Freedman, H.I., Waltman, P.: Persistence in models of three interacting predator-prey populations. Math. Biosci. 68, 213–231 (1984)
Ganikhodjaev, N.N., Ganikhodjaev, R.N., Jamilov, U.U.: Quadratic stochastic operators and zero-sum game dynamics. Ergod. Theory Dyn. Syst. 35, 1443–1473 (2015)
Ganikhodzhaev, N.N., Zanin, D.: On a necessary condition for the ergodicity of quadratic operators defined on the two-dimensional simplex. Russ. Math. Surv. 59, 161–162 (2004)
Ganikhodzhaev, R.N., Mukhamedov, F.M., Rozikov, U.A.: Quadratic stochastic operators and processes: results and open problems, Infin. Dimens. Anal. Quantum Probab. Relat. Top. 14, 279–335 (2011)
Jamilov, U., Khamraev, A., Ladra, M.: On a Volterra cubic stochastic operator. Bull. Math. Biol. 80, 319–334 (2018)
Jamilov, U., Ladra, M.: Non-ergodicity of uniform quadratic stochastic operators. Qual. Theory Dyn. Syst. 15, 257–271 (2016)
Khamraev, A.Y.: On cubic operators of Volterra type (Russian). Uzbek. Mat. Zh. 2004(2), 79–84 (2004)
Khamraev, A.Y.: A condition for the uniqueness of a fixed point for cubic operators (Russian). Uzbek. Mat. Zh. 2005(1), 79–87 (2005)
Khamraev, A.Y.: On a Volterra-type cubic operator (Russian). Uzbek. Mat. Zh. 2009(3), 65–71 (2009)
Lyubich, Y.I.: Mathematical Structures in Population Genetics. Springer-Verlag, Berlin (1992)
Mukhamedov, F., Embong, A.F.: On \(b\)-bistochastic quadratic stochastic operators. J. Inequal. Appl. 2015, 226 (2015)
Mukhamedov, F., Embong, A.F.: On non-linear Markov operators: surjectivity vs orthogonal preserving property. Linear Multilinear Algorithm 66, 2183–2190 (2018)
Mukhamedov, F., Embong, A.F., Rosli, A.: Orthogonal preserving and surjective cubic stochastic operators. Ann. Funct. Anal. 8, 490–501 (2017)
Mukhamedov, F., Jamilov, U., Pirnapasov, A.: On nonergodic uniform Lotka–Volterra operators. Math. Notes 105, 258–264 (2019)
Rozikov, U.A., Khamraev, A.Y.: On cubic operators defined on finite-dimensional simplices. Ukr. Math. J. 56, 1699–1711 (2004)
Saburov, M.: A class of nonergodic Lotka–Volterra operators. Math. Notes 97, 759–763 (2015)
Ulam, S.M.: A Collection of Mathematical Problems. Interscience Publishers, New York (1960)
Zakharevich, M.I.: On the behaviour of trajectories and the ergodic hypothesis for quadratic mappings of a simplex. Russ. Math. Surv. 33, 265–266 (1978)
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The first author (FM) thanks the research grant by the UAEU, No. 31S259.
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Mukhamedov, F., Pah, C.H. & Rosli, A. On Non-ergodic Volterra Cubic Stochastic Operators. Qual. Theory Dyn. Syst. 18, 1225–1235 (2019). https://doi.org/10.1007/s12346-019-00334-8
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DOI: https://doi.org/10.1007/s12346-019-00334-8