A numerical taxonomy of 2D spatial patterns from nonlocal advection-diffusion models maps interaction strengths to stripes, clusters, volcanos, and polygonal mosaics.
Fully Discrete Positivity-Preserving and Energy-Dissipating Schemes for Aggregation-Diffusion Equations with a Gradient Flow Structure
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abstract
We propose fully discrete, implicit-in-time finite-volume schemes for a general family of non-linear and non-local Fokker-Planck equations with a gradient-flow structure, usually known as aggregation-diffusion equations, in any dimension. The schemes enjoy the positivity-preservation and energy-dissipation properties, essential for their practical use. The first-order scheme verifies these properties unconditionally for general non-linear diffusions and interaction potentials, while the second-order scheme does so provided a CFL condition holds. Sweeping dimensional splitting permits the efficient construction of these schemes in higher dimensions while preserving their structural properties. Numerical experiments validate the schemes and show their ability to handle complicated phenomena typical in aggregation-diffusion equations, such as free boundaries, metastability, merging and phase transitions.
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A phylogeny of biological patterns formed by nonlocal advection
A numerical taxonomy of 2D spatial patterns from nonlocal advection-diffusion models maps interaction strengths to stripes, clusters, volcanos, and polygonal mosaics.