The geometry of diffusing and self-attracting particles in a one-dimensional fair-competition regime
Vincent Calvez, Jose Antonio Carrillo, Franca Hoffmann

TL;DR
This paper analyzes a one-dimensional aggregation-diffusion model with non-linear diffusion and non-local attraction, classifying its behavior, proving uniqueness of stationary and self-similar states, and exploring asymptotic dynamics through theoretical and numerical methods.
Contribution
It provides a near-complete classification of the model's regimes, proves uniqueness of stationary and self-similar solutions, and investigates long-term behavior in both singular and non-singular kernel cases.
Findings
Uniqueness of stationary states at critical interaction strength for singular kernels.
Convergence to equilibrium or self-similarity depending on parameters.
Numerical simulations illustrating theoretical results across parameter space.
Abstract
We consider an aggregation-diffusion equation modelling particle interaction with non-linear diffusion and non-local attractive interaction using a homogeneous kernel (singular and non-singular) leading to variants of the Keller-Segel model of chemotaxis. We analyse the fair-competition regime in which both homogeneities scale the same with respect to dilations. Our analysis here deals with the one-dimensional case and provides an almost complete classification. In the singular kernel case and for critical interaction strength, we prove uniqueness of stationary states via a variant of the Hardy-Littlewood-Sobolev inequality. Using the same methods, we show uniqueness of self-similar profiles in the sub-critical case by proving a new type of functional inequality. Surprisingly, the same results hold true for any interaction strength in the non-singular kernel case. Further, we…
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Taxonomy
TopicsMathematical Biology Tumor Growth · Mathematical and Theoretical Epidemiology and Ecology Models
