The stability analysis of brain lactate kinetics

Jean-Pierre Françoise; Hongjun Ji

doi:10.3934/dcdss.2020182

Article Contents

2020, Volume 13, Issue 8: 2135-2143. Doi: 10.3934/dcdss.2020182

This issue Previous Article From conservative to dissipative non-linear differential systems. An application to the cardio-respiratory regulation Next Article Gevrey solutions of singularly perturbed differential equations, an extension to the non-autonomous case

The stability analysis of brain lactate kinetics

Jean-Pierre Françoise^1, , and
Hongjun Ji^2,

1.
Université P.-M. Curie, Paris 6, Laboratoire Jacques–Louis Lions, UMR 7598 CNRS, 4 Pl. Jussieu, Tour 16-26, 75252 Paris, France
2.
Shanghai Jiao Tong University, SJTU-ParisTech Elite Institute of Technology, 800 Dong Chuan Road, 200240 Shanghai, China

^* Corresponding author: Jean-Pierre Francoise
^* Corresponding author: Jean-Pierre Francoise

Received: January 2019

Early access: November 20, 2019

Published online: November 20, 2019

Abstract / Introduction Full Text(HTML) Related Papers Cited by

Abstract

Our aim in this article is to study properties of a generalized dynamical system modeling brain lactate kinetics, with $ N $ neuron compartments and $ A $ astrocyte compartments. In particular, we prove the uniqueness of the stationary point and its asymptotic stability. Furthermore, we check that the system is positive and cooperative.

Keywords:

Mathematics Subject Classification: Primary: 34D20; Secondary: 37N25.

Citation:

Full Text(HTML)

Related Papers

Cited by

References

[1]	B. Abraham and R. Plemmons, Nonnegative Matrices in the Mathematical Sciences, Computer Science and Applied Mathematics, Academic Press [Harcourt Brace Jovanovich, Publishers], New York-London, 1979.
[2]	A. Aubert and R. Costalat, Interaction between astrocytes and neurons studied using a mathematical model of compartmentalized energy metabolism, J. Cereb. Blood Flow Metab., 25 (2005), 1476-1490. doi: 10.1038/sj.jcbfm.9600144.
[3]	R. Costalat, J.-P. Françoise, C. Menuel, M. Lahutte, J.-N. Vallée, G. de Marco, J. Chiras and R. Guillevin, Mathematical modeling of metabolism and hemodynamics, Acta Biotheor., 60 (2012), 99-107. doi: 10.1007/s10441-012-9157-1.
[4]	R. Guillevin, A. Miranville and A. Perrillat-Mercerot, On a reaction-diffusion system associated with brain lactate kinetics, Electron. J. Differential Equations, 23 (2017), 1-16.
[5]	J. Keener and J. Sneyd, Mathematical Physiology, Interdisciplinary Applied Mathematics, 8, Springer-Verlag, New York, 1998.
[6]	M. Lahutte-Auboin, Modélisation biomathématique du métabolisme énergétique cérébral : réduction de modèle et approche multi-échelle, application à l'aide à la décision pour la pathologie des gliomes, Ph.D thesis, Université Pierre et Marie Curie, 2015.
[7]	M. Lahutte-Auboin, R. Costalat, J.-P. Françoise and R. Guillevin, Dip and buffering in a fast-slow system associated to brain lactate, kinetics, preprint, arXiv: math/1308.0486v1.
[8]	M. Lahutte-Auboin, R. Guillevin, J.-P. Françoise, J.-N. Vallée and R. Costalat, On a minimal model for hemodynamics and metabolism of lactate: Application to low grade glioma and therapeutic strategies, Acta Biotheor., 61 (2013), 79-89. doi: 10.1007/s10441-013-9174-8.
[9]	C. D. Meyer, Matrix Analysis and Applied Linear Algebra, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, 2000. doi: 10.1137/1.9780898719512.
[10]	A. Miranville, A singular reaction-diffusion equation associated with brain lactate kinetics, Math. Methods Appl. Sci., 40 (2017), 2454-2465. doi: 10.1002/mma.4150.
[11]	H. L. Smith, On the asymptotic behavior of a class of deterministic models of cooperating species, SIAM J. Appl. Math., 46 (1986), 368-375. doi: 10.1137/0146025.
[12]	H. L. Smith, Monotone Dynamical Systems: An Introduction to the Theory of Competitive and Cooperative Systems, Mathematical Surveys and Monographs, 41, American Mathematical Society, Providence, RI, 1995.