Skip to main content
AkademIndex

Products

For developers

AkademBasesoonOpen API for the ecosystem
Latin
English
Article

Asymptotics for a class of iterated random cubic operators

A J HomburgDepartment of Mathematics, VU University Amsterdam, De Boelelaan 1081, 1081 HV Amsterdam, The NetherlandsU U JamilovV.I. Romanovskiy Institute of Mathematics, Academy of Sciences of Uzbekistan, 81, Mirzo Ulugbek str., 100170, Tashkent, UzbekistanM ScheutzowInstitut für Mathematik, MA 7-5, Fakultät II, Technische Universität Berlin, Straße des 17. Juni 136, 10623 Berlin, Germany
Nonlinearityjournal2019en
ABI

Abstract

Abstract We consider a class of cubic stochastic operators that are motivated by models for evolution of frequencies of genetic types in populations. We take populations with three mutually exclusive genetic types. The long term dynamics of single maps, starting with a generic initial condition, is asymptotic to equilibria where either only one genetic type survives, or where all three genetic types occur. We consider a family of independent and identically distributed maps from this class and study its long term dynamics, in particular its random point attractors. The long term dynamics of the random composition of maps is asymptotic, almost surely, to equilibria. In contrast to the deterministic system, for generic initial conditions these can be equilibria with one or two or three types present (depending only on the distribution).

Topics

Identifiers

Citations and references

Metrics — AkademScholar · Coming soon