collaborators

6 papers

q-bio.PE2026

From Individual-Based Models to Macroscopic Dynamics of Antimicrobial Resistance

Marco Menale, Giuseppe Toscani, Mattia Zanella

We introduce and discuss a kinetic framework describing the time evolution of the statistical distributions of a population divided into the compartments of susceptible, infectious…

math.AP2026

Large-time behaviour for coupled systems of Lotka-Volterra-type Fokker-Planck equations

Giuseppe Toscani, Mattia Zanella

We study a system of Fokker-Planck equations recently introduced to describe the temporal evolution of statistical distributions of population densities with predator-prey interact…

math.AP2025

Individual-Based Foundation of SIR-Type Epidemic Models: mean-field limit and large time behaviour

Giorgio Martalò, Giuseppe Toscani, Mattia Zanella

We introduce a kinetic framework for modeling the time evolution of the statistical distributions of the population densities in the three compartments of susceptible, infectious,…

math.AP2025

Lotka-Volterra-type kinetic equations for interacting species

Andrea Bondesan, Marco Menale, Giuseppe Toscani +1

In this work, we examine a kinetic framework for modeling the time evolution of size distribution densities of two populations governed by predator-prey interactions. The model bui…

q-fin.GN2025

Measuring inequality in society-oriented Lotka--Volterra-type kinetic equations

Marco Menale, Giuseppe Toscani

We present a possible approach to measuring inequality in a system of coupled Fokker-Planck-type equations that describe the evolution of distribution densities for two populations…

math.AP2025

Supercritical Fokker-Planck equations for consensus dynamics: large-time behaviour and weighted Nash-type inequalities

Giuseppe Toscani, Mattia Zanella

We study the main properties of the solution of a Fokker-Planck equation characterized by a variable diffusion coefficient and a polynomial superlinear drift, modeling the formatio…