Published October 1, 2019 | Version v1
Journal article

Asymptotics for a class of iterated random cubic operators

  • 1. KdV Institute for Mathematics, University of Amsterdam, Science park 107, 1098 XG Amsterdam (Netherlands)
  • 2. V.I. Romanovskiy Institute of Mathematics, Academy of Sciences of Uzbekistan, 81, Mirzo Ulugbek str., 100170, Tashkent (Uzbekistan)
  • 3. Institut für Mathematik, MA 7-5, Fakultät II, Technische Universität Berlin, Straße des 17. Juni 136, 10623 Berlin (Germany)

Description

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). (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1361-6544/ab1f24

Additional details

Identifiers

Publishing Information

Journal Title
Nonlinearity (Print)
Journal Volume
32
Journal Issue
10
Journal Page Range
p. 3646-3660
ISSN
0951-7715

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51068884
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
ASYMPTOTIC SOLUTIONS; ATTRACTORS; EQUILIBRIUM; GENOTYPE; MAPS; MATHEMATICAL OPERATORS; POPULATIONS; RANDOMNESS; STOCHASTIC PROCESSES
Descriptors DEC
MATHEMATICAL SOLUTIONS