On systems of active particles perturbed by symmetric bounded noises : a multiscale kinetic approach

Flora, Bruno Felice Filippo and Ciancio, Armando and d’Onofrio, Alberto (2021) On systems of active particles perturbed by symmetric bounded noises : a multiscale kinetic approach. Symmetry, 13 (9). 1604. ISSN 2073-8994 (https://doi.org/10.3390/sym13091604)

[thumbnail of Filippo-Flora-etal-Symmetry-2021-On-systems-of-active-particles-perturbed-by-symmetric-bounded-noises]
Preview
Text. Filename: Filippo_Flora_etal_Symmetry_2021_On_systems_of_active_particles_perturbed_by_symmetric_bounded_noises.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (11MB)| Preview

Abstract

We consider an ensemble of active particles, i.e., of agents endowed by internal variables u(t). Namely, we assume that the nonlinear dynamics of u is perturbed by realistic bounded symmetric stochastic perturbations acting nonlinearly or linearly. In the absence of birth, death and interactions of the agents (BDIA) the system evolution is ruled by a multidimensional Hypo-Elliptical Fokker–Plank Equation (HEFPE). In presence of nonlocal BDIA, the resulting family of models is thus a Partial Integro-differential Equation with hypo-elliptical terms. In the numerical simulations we focus on a simple case where the unperturbed dynamics of the agents is of logistic type and the bounded perturbations are of the Doering–Cai–Lin noise or the Arctan bounded noise. We then find the evolution and the steady state of the HEFPE. The steady state density is, in some cases, multimodal due to noise-induced transitions. Then we assume the steady state density as the initial condition for the full system evolution. Namely we modeled the vital dynamics of the agents as logistic nonlocal, as it depends on the whole size of the population. Our simulations suggest that both the steady states density and the total population size strongly depends on the type of bounded noise. Phenomena as transitions to bimodality and to asymmetry also occur.