The linear stability for a free boundary problem modeling multi-layer tumor growth with time delay

TL;DR

This paper analyzes a free boundary model of multi-layer tumor growth incorporating a small time delay, establishing conditions for the stability of stationary solutions and showing how delay influences tumor size, with implications for biology and mathematics.

Contribution

It proves the existence and uniqueness of a flat stationary solution and characterizes its stability depending on tumor aggressiveness and time delay.

Findings

Existence of a unique flat stationary solution for all tumor aggressiveness levels.

Identification of a threshold parameter determining stability or instability.

Time delay increases the stationary tumor size.

Abstract

We study a free boundary problem modeling multi-layer tumor growth with a small time delay $\tau$, representing the time needed for the cell to complete the replication process. The model consists of two elliptic equations which describe the concentration of nutrient and the tumor tissue pressure, respectively, an ordinary differential equation describing the cell location characterizing the time delay and a partial differential equation for the free boundary. In this paper we establish the well-posedness of the problem, namely, first we prove that there exists a unique flat stationary solution $(\sigma_*, p_*, \rho_*, \xi_* )$ for all $\mu>0$. The stability of this stationary solution should depend on the tumor aggressiveness constant $\mu$. It is also unrealistic to expect the perturbation to be flat. We show that, under non-flat perturbations, there exists a threshold $\mu_*>0$ such that $(\sigma_*, p_*, \rho_*, \xi_*)$ is linearly stable if $\mu<\mu_*$ and linearly unstable if $\mu>\mu_*$. Furthermore, the time delay increases the stationary tumor size. These are interesting results with mathematical and biological implications.