Exploring numerical blow-up phenomena for the Keller-Segel-Navier-Stokes equations
Jes\'us Bonilla, Juan Vicente Guti\'errez-Santacreu

TL;DR
This paper investigates the blow-up phenomena in the Keller-Segel-Navier-Stokes system through numerical simulations, suggesting the known mass threshold for blow-up might be improved and that fluid flow influences singularity formation.
Contribution
It introduces a stabilized finite element method to numerically analyze blow-up scenarios, challenging the existing mass threshold and exploring the impact of fluid flow on singularity formation.
Findings
Numerical results suggest the blow-up threshold may be higher than 2π, possibly up to 4π.
Fluid flow can prevent or delay the formation of singular points.
The proposed method accurately captures blow-up behavior without artificial oscillations.
Abstract
The Keller-Segel-Navier-Stokes system governs chemotaxis in liquid environments. This system is to be solved for the organism and chemoattractant densities and for the fluid velocity and pressure. It is known that if the total initial cell density mass is below there exist globally defined generalised solutions, but what is less understood is whether there are blow-up solutions beyond such a threshold and its optimality. Motivated by this issue, a numerical blow-up scenario is investigated. Approximate solutions computed via a stabilised finite element method founded on a shock capturing technique are such that they satisfy \emph{a priori} bounds as well as lower and bounds for the cell and chemoattractant densities. In particular, this latter properties are essential in detecting numerical blow-up configurations, since the non-satisfaction of these two…
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.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Biology Tumor Growth
