Interacting particles systems with delay and random delay differential equations

In this work we study a kinetic model of active particles with delayed dynamics, and its limit when the number of particles goes to infinity. This limit turns out to be related to delayed differential equations with random initial conditions. We analyze two different dynamics, one based on the full knowledge of the individual trajectories of each particle, and another one based only on the trace of the particle cloud, loosing track of the individual trajectories. Notice that in the first dynamic the state of a particles is its path, whereas it is simply a point in R-d in the second case. We analyze in both cases the corresponding mean-field dynamic obtaining an equation for the time evolution of the distribution of the particles states. Well-posedness of the equation is proved by a fixed-point argument. We conclude the paper with some possible future research directions and modeling applications. (C) 2021 Elsevier Ltd. All rights reserved.

Automated summary

In this work, a kinetic model of active particles with delayed dynamics and its limit as the number of particles approaches infinity are studied. The relationship to delayed differential equations with random initial conditions is investigated. Two different dynamics are analyzed, one based on individual trajectories and another based on the cloud of particles, leading to an equation describing the time evolution of the distribution of particle states. The well-posedness of the equation is proved using a fixed-point argument, and potential future research directions and modeling applications are discussed.