Multiscale Kinetic Structures for Living Systems

TL;DR

This paper introduces a Multiscale Kinetic Theory for Active Particles to better model living systems' complex, multi-level interactions and adaptive behaviors, extending classical kinetic theories.

Contribution

It develops a novel multiscale framework that incorporates lower-scale regulatory mechanisms into the collective dynamics of living systems.

Findings

Captures heterogeneity and adaptive decision-making in living systems

Models cross-scale feedback and nonlinear interactions

Provides a mathematical basis for multilevel organization in biological systems

Abstract

This paper develops a conceptual extension of the Kinetic Theory of Active Particles, building upon the framework introduced in [2]. Living systems cannot be adequately described within classical single-scale paradigms, even when refined. To overcome this limitation, we introduce a Multiscale Kinetic Theory of Active Particles (MS-KTAP), in which a sub-microscopic scale of interacting entities is incorporated into the description of collective dynamics. In this framework, the activity variable is interpreted as an emergent quantity arising from lower-scale regulatory mechanisms and influenced by interactions across higher scales. The proposed framework captures key features of living systems, including heterogeneity, adaptive decision-making, nonlinear and non-conservative interactions, spatial dynamics, and cross-scale feedback, within a unified mathematical structure. Competition and cooperation are thus described across multiple levels of organization. The first part of the paper derives the mathematical framework, while the second presents how specific models can be obtained. The paper concludes with perspectives on further developments, including possible integrations with scientific machine learning.