Details

Autor(en) / Beteiligte

• Yuan, Hairui
• Meng, Xinzhu
• Alzahrani, Abdullah Khames
• Zhang, Tonghua

Titel

Stochastic analysis and optimal control of a donation game system with non-uniform interaction rates and Gram–Schmidt orthogonalization procedure

Ist Teil von

• Computational & applied mathematics, 2023-07, Vol.42 (5), Article 225

Ort / Verlag

Cham: Springer International Publishing

Erscheinungsjahr

2023

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• This paper investigates an evolutionary donation game with non-uniform interaction rates in well-mixed populations. Further, we consider that the costs and benefits of the game are subject to stochastic disturbances and explore the stochastic replicator dynamics. Firstly, the system has two interior equilibrium points, one of which is stable. In other words, cooperators and defectors coexist when the interaction rates satisfy certain conditions. And the number of cooperators may exceed the number of defectors, which changes the final steady state of the traditional donation game system. Secondly, according to It o ^ ′ s formula and Gram-Schmidt orthogonalization procedure, we obtain the stochastic replicator equation of the game. Since the different interaction rates between players lead to the emergence of the interior equilibria of the system, we give the conditions for the stochastic stability of equilibria. The relationship between interaction rate and disturbance value is shown, and we explore the optimal path from the area of stochastic stability to the area of stochastic instability. In short, the donation game system has two stable states, and we can control the cooperators in the population by the non-uniform interaction rates. Finally, we conduct numerical simulations and find that it is consistent with the theoretical results described previously.