Aggregation-diffusion in heterogeneous environments
Jonathan R. Potts

TL;DR
This paper develops an analytical framework for aggregation-diffusion equations in heterogeneous environments, revealing complex interactions between environment and collective movement that influence emergent space use patterns.
Contribution
It provides exact steady-state solutions and an energy minimisation approach for aggregation-diffusion equations in heterogeneous settings, highlighting novel counter-intuitive behaviors.
Findings
Non-monotonic relationship between clump width and aggregation width
Positive correlation between self-attraction strength and aggregation width under strong resource attraction
Analytic solutions verified by numerical simulations
Abstract
Aggregation-diffusion equations are foundational tools for modelling biological aggregations. Their principal use is to link the collective movement mechanisms of organisms to their emergent space use patterns in a concrete mathematical way. However, most existing studies do not account for the effect of the underlying environment on organism movement. In reality, the environment is often a key determinant of emergent space use patterns, albeit in combination with collective aspects of motion. This work studies aggregation-diffusion equations in a heterogeneous environment in one spatial dimension. Under certain assumptions, it is possible to find exact analytic expressions for the steady-state solutions when diffusion is quadratic. Minimising the associated energy functional across these solutions provides a rapid way of determining the likely emergent space use pattern, which can be…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Biology Tumor Growth · Evolutionary Game Theory and Cooperation · Micro and Nano Robotics
MethodsDiffusion
