| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 755981 | Communications in Nonlinear Science and Numerical Simulation | 2011 | 9 Pages |
We investigate a problem in evolutionary game theory based on replicator equations with periodic coefficients. This approach to evolution combines classical game theory with differential equations. The RPS (Rock-Paper-Scissors) system studied has application to the population biology of lizards and to bacterial dynamics. The presence of periodic coefficients models variations in the environment due to seasonal effects and results in parametric excitation which is studied through the use of perturbation series and numerical integration.
Research highlights► Replicator equations combine game theory with ODEs. ► Payoff coefficients are modeled as periodic functions of time. ► This accounts for seasonal variations. ► Equations exhibit parametric excitation. ► System has application to the population biology of lizards and to bacterial dynamics.
