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Incompressible limit for an age-structured tumor model

Maeve Wildes

TL;DR

The main contribution of this paper is establishing the convergence of solutions of the age-structured model to a limit satisfying a Hele-Shaw free boundary problem that describes the geometric motion of the tumor as it grows according to a nonlinear Darcy's law.

Abstract

In this paper, we consider an age-structured mechanical model for tumor growth. This model takes into account the life-cycle of tumor cells by including an age variable. The underlying process for tumor growth is the same as classical tumor models, where growth is driven by pressure-limited cell proliferation, and cell movement away from regions of high pressure. The main contribution of this paper is establishing the convergence of solutions of the age-structured model to a limit satisfying a Hele-Shaw free boundary problem. This limiting problem describes the geometric motion of the tumor as it grows according to a nonlinear Darcy's law.

Incompressible limit for an age-structured tumor model

TL;DR

The main contribution of this paper is establishing the convergence of solutions of the age-structured model to a limit satisfying a Hele-Shaw free boundary problem that describes the geometric motion of the tumor as it grows according to a nonlinear Darcy's law.

Abstract

In this paper, we consider an age-structured mechanical model for tumor growth. This model takes into account the life-cycle of tumor cells by including an age variable. The underlying process for tumor growth is the same as classical tumor models, where growth is driven by pressure-limited cell proliferation, and cell movement away from regions of high pressure. The main contribution of this paper is establishing the convergence of solutions of the age-structured model to a limit satisfying a Hele-Shaw free boundary problem. This limiting problem describes the geometric motion of the tumor as it grows according to a nonlinear Darcy's law.
Paper Structure (8 sections, 15 theorems, 122 equations)

This paper contains 8 sections, 15 theorems, 122 equations.

Key Result

Theorem 2.1

Let $(n_m,p_m,\rho_m)$ be a weak solution of nm, under the assumptions a.beta, a.r, a.nu, and v.assum. Assume that the initial data satisfies assumpinit-initconv. Further, assume that $n_{0,m}$ is compactly supported in $x$ and $\theta$, uniformly in $m$. Then, up to a subsequence, as $m \rightarrow

Theorems & Definitions (32)

  • Theorem 2.1: Weak Free-Boundary Limit
  • Remark 2.2
  • Theorem 2.3: Complementarity Formula
  • Theorem 3.1: llmw, Theorem 2.1
  • Lemma 4.1
  • proof
  • Lemma 4.2
  • proof
  • Lemma 4.3
  • proof
  • ...and 22 more