Partisan Voter Model: Stochastic description and noise-induced transitions

Autor: Llabres, Jaume, Miguel, Maxi San, Toral, Raul
Rok vydání: 2023
Předmět:
Zdroj: Phys. Rev. E 108, 054106 (2023)
Druh dokumentu: Working Paper
DOI: 10.1103/PhysRevE.108.054106
Popis: We give a comprehensive mean-field analysis of the Partisan Voter Model (PVM) and report analytical results for exit probabilities, fixation times, and the quasi-stationary distribution. In addition, and similarly to the noisy voter model, we introduce a noisy version of the PVM, named as the Noisy Partisan Voter Model (NPVM) which accounts for the preferences of each agent for the two possible states, as well as for idiosyncratic spontaneous changes of state. We find that the finite-size noise-induced transition of the noisy voter model is modified in the NPVM leading to the emergence of new intermediate phases and both continuous and discontinuous transitions.
Databáze: arXiv