Towards kinetic equations of open systems of active soft matter

TL;DR

This paper introduces new approaches to modeling the collective behavior of open active soft matter systems using evolution equations of observables, emphasizing a direct, mathematically consistent kinetic framework that accounts for initial correlations and memory effects.

Contribution

It develops a novel kinetic equation framework for open biological systems, incorporating initial correlations and non-Markovian dynamics, advancing the modeling of active soft matter.

Findings

Kinetic equations can describe condensed states of active soft matter.

The approach allows for modeling memory effects in collective biological behavior.

It provides a mathematically consistent formulation for open complex systems.

Abstract

The chapter presents some new approaches to describing the collective behavior of complex systems of mathematical biology based on the evolution equations of observables such as open systems. This representation of kinetic evolution has looked to be the most direct and mathematically fully consistent formulation modeling the collective behavior of biological systems since the traditionally used concept of the state in kinetic theory is more subtle and is an implicit characteristic of the populations of living creatures. One of the advantages of the developed approach is the opportunity to construct kinetic equations for open complex systems in scaling approximations, involving initial correlations, in particular, that can characterize the condensed states of active soft matter. An approach is also related to the challenge of a rigorous derivation of the non-Markovian kinetic equations from underlying many-entity dynamics, which makes it possible to describe the memory effects of the collective behavior of living creatures.