We apply a perturbative Doi–Peliti field-theoretical analysis to the stochastic spatially extended symmetric Rock-paper-Scissors (RPS) and May–Leonard (ML) models, in which three species compete cyclically. Compared to the two-species Lotka–Volterra predator-prey (LV) model, according to numerical simulations, these cyclical models appear to be less affected by intrinsic stochastic fluctuations. Indeed, we demonstrate that the qualitative features of the ML model are insensitive to intrinsic reaction noise. In contrast, and although not yet observed in numerical simulations, we find that the RPS model acquires significant fluctuation-induced renormalizations in the perturbative regime, similar to the LV model. We also study the formation of spatio-temporal structures in the framework of stability analysis and provide a clearcut explanation for the absence of spatial patterns in the RPS system, whereas the spontaneous emergence of spatio-temporal structures features prominently in the LV and the ML models.
Perturbative field-theoretical analysis of three-species cyclic predator-prey models
Louie Hong Yao,Mohamed Swailem,U. Dobramysl,U. Täuber
Published 2023 in Journal of Physics A: Mathematical and Theoretical
ABSTRACT
PUBLICATION RECORD
- Publication year
2023
- Venue
Journal of Physics A: Mathematical and Theoretical
- Publication date
2023-03-15
- Fields of study
Biology, Physics
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-60 of 60 references · Page 1 of 1
CITED BY
Showing 1-3 of 3 citing papers · Page 1 of 1