An Additive-Noise Approximation to Keller-Segel-Dean-Kawasaki Dynamics: Local Well-Posedness of Paracontrolled Solutions
Adrian Martini, Avi Mayorcas

TL;DR
This paper proves local well-posedness for a complex stochastic PDE modeling Keller-Segel dynamics with additive noise, employing paracontrolled calculus and renormalisation techniques to handle irregularities and heterogeneity.
Contribution
It introduces a novel additive-noise approximation to Keller-Segel hydrodynamics and establishes local well-posedness using advanced paracontrolled distribution methods.
Findings
Renormalisation diverges at most logarithmically due to symmetry
Solutions are well-posed locally in time despite irregular noise
Reduction in the number of diverging counterterms
Abstract
Using the method of paracontrolled distributions, we show the local well-posedness of an additive noise approximation to the fluctuating hydrodynamics of the Keller-Segel model on the two-dimensional torus. Our approximation is a non-linear, non-local, parabolic-elliptic stochastic PDE with an irregular, heterogeneous space-time noise. As a consequence of the irregularity and heterogeneity, solutions to this equation must be renormalised by a sequence of diverging fields. Using the symmetry of the elliptic Green's function, which appears in our non-local term, we establish that the renormalisation diverges at most logarithmically, an improvement over the linear divergence one would expect by power counting. Similar cancellations also serve to reduce the number of diverging counterterms.
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Taxonomy
TopicsMathematical Biology Tumor Growth · Markov Chains and Monte Carlo Methods · Stochastic processes and statistical mechanics
