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The role of pairwise nonlinear evolutionary dynamics in the rock–paper–scissors game with noise
- Source :
- Applied Mathematics and Computation. 394:125767
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- The difference between conventional replicator dynamics and pairwise (PW) nonlinear Fermi dynamics can be discerned by studying the evolutionary dynamics of the interactions between the symmetric cyclic structure in the rock–paper–scissors game and inter- and intraspecific competitions. Often, conventional replicator models presume that the payoff difference among species is a linear function (a linear benefit). This study introduces a PW contrast under the properties of the well-known Fermi rule, where species play against one another in pairs. To model a PW nonlinear evolutionary environment (a nonlinear benefit) within this framework, both analytical and numerical approaches are applied. It is determined that the dynamics of the linear and nonlinear benefits can present the same stability conditions at equilibrium. Moreover, it is also demonstrated that, even in an identical equilibrium condition for both dynamics, the numerical result run by a deterministic approach presents a faster stability state for nonlinear benefit dynamics. This study also suggests that introducing mutation as demographic noise can effectively disrupt the phase regions and show the different relationships between linear and nonlinear dynamics. The symmetric bidirectional mutation among all the species reduced to the stable limit cycle by an arbitrary small mutation rate is also explored. Due to the environmental noise, however, linear and nonlinear exhibit the same steady state. Nevertheless, non-linearity illustrates more stable and faster stability situations. Our result suggests that environmental and demographic noise on the evolutionary dynamic framework can serve as a mechanism for supporting PW nonlinear dynamics in multi-species games.
- Subjects :
- 0209 industrial biotechnology
Applied Mathematics
Stochastic game
020206 networking & telecommunications
02 engineering and technology
Stability (probability)
Linear function
Computational Mathematics
Nonlinear system
Noise
020901 industrial engineering & automation
Limit cycle
Replicator equation
0202 electrical engineering, electronic engineering, information engineering
Quantitative Biology::Populations and Evolution
Statistical physics
Evolutionary dynamics
Mathematics
Subjects
Details
- ISSN :
- 00963003
- Volume :
- 394
- Database :
- OpenAIRE
- Journal :
- Applied Mathematics and Computation
- Accession number :
- edsair.doi...........6513448d1d38b459837f6ef1b85a5f8d