Global attractor for a Cahn-Hilliard-chemotaxis model with logistic degradation
Giulio Schimperna, Antonio Segatti

TL;DR
This paper proves the existence of a global attractor for a coupled Cahn-Hilliard-chemotaxis model relevant to tumor progression, analyzing long-term behavior and nutrient concentration properties.
Contribution
It establishes the well-posedness, dissipativity, and existence of a global attractor for a novel chemotaxis-coupled Cahn-Hilliard system with logistic degradation.
Findings
Existence of a global attractor in the model's phase space.
The semigroup generated by the system is strongly dissipative and asymptotically compact.
Under certain conditions, nutrient concentration remains strictly positive over finite time intervals.
Abstract
We consider a mathematical model coupling the Cahn-Hilliard system for phase separation with an additional equation describing the diffusion process of a chemical quantity whose concentration influences the physical process. The main application of the model refers to tumor progression, where the phase variable denotes the local proportion of active cancer cells and the chemical concentration may refer to a nutrient transported by the blood flow or to a drug administered to the patient. The resulting system is characterized by cross-diffusion effects similar to those appearing in the Keller-Segel model for chemotaxis; in particular, the nutrient tends to be attracted towards the regions where more active tumor cells are present (and consume it in a quickier way). Complementing various recent results on related models, we investigate here the long-time behavior of solutions under the…
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 · Solidification and crystal growth phenomena · Mathematical and Theoretical Epidemiology and Ecology Models
