Approximation of a compound-exchanging cell by a Dirac point

Xiao Yang, Qiyao Peng, Sander C. Hille

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Communication between single cells or higher organisms by means of diffusive compounds is an important phenomenon in biological systems. Modelling therefore often occurs, most straightforwardly by a diffusion equation with suitable flux boundary conditions at the cell boundaries. Such a model will become computationally inefficient and analytically complex when there are many cells, even more so when they are moving. We propose to consider instead a point source model. Each cell is virtually reduced to a point and appears in the diffusion equation for the compound on the full spatial domain as a singular reaction term in the form of a Dirac delta 'function' (measure) located at the cell's centre. In this model, it has an amplitude that is a non-local function of the concentration of compound on the (now virtual) cell boundary. We prove the well-posedness of this particular parabolic problem with non-local and singular reaction term in suitable Sobolev spaces. We show for a square bounded domain and for the plane that the solution cannot be H1-smooth at the Dirac point. Further, we show a preliminary numerical comparison between the solutions to the two models that suggests that the two models are highly comparable to each other.

Original languageEnglish
Pages (from-to)73-78
Number of pages6
JournalIFAC-PapersOnLine
Volume59
Issue number1
Early online date27 Mar 2025
DOIs
Publication statusPublished - 2025
Event11th Vienna International Conference on Mathematical Modelling, MATHMOD 2025 - Vienna, Austria
Duration: 19 Feb 202521 Feb 2025

Bibliographical note

Part of special issue: 11th Vienna International Conference on Mathematical Modelling MATHMOD 2025: Vienna, Austria, February 19-21, 2025.

Publisher Copyright:
Copyright © 2025 The Authors.

Keywords

  • Cell communication
  • Diffusion equation
  • Dirac measure
  • Heat kernel
  • Numerical analysis
  • Well-posedness

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