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Stability analysis of a state-dependent delay differential equation for cell maturation: analytical and numerical methods

机译:细胞成熟状态依赖性延迟微分方程的稳定性分析:分析与数值方法

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摘要

We consider a mathematical model describing the maturation process of stem cells up to fully mature cells. The model is formulated as a differential equation with state-dependent delay, where maturity is described as a continuous variable. The maturation rate of cells may be regulated by the amount of mature cells and, moreover, it may depend on cell maturity: we investigate how the stability of equilibria is affected by the choice of the maturation rate. We show that the principle of linearised stability holds for this model, and develop some analytical methods for the investigation of characteristic equations for fixed delays. For a general maturation rate we resort to numerical methods and we extend the pseudospectral discretisation technique to approximate the state-dependent delay equation with a system of ordinary differential equations. This is the first application of the technique to nonlinear state-dependent delay equations, and currently the only method available for studying the stability of equilibria by means of established software packages for bifurcation analysis. The numerical method is validated on some cases when the maturation rate is independent of maturity and the model can be reformulated as a fixed-delay equation via a suitable time transformation. We exploit the analytical and numerical methods to investigate the stability boundary in parameter planes. Our study shows some drastic qualitative changes in the stability boundary under assumptions on the model parameters, which may have important biological implications.
机译:我们考虑将干细胞成熟过程高达完全成熟细胞的数学模型。该模型作为具有状态相关延迟的微分方程,其成熟被描述为连续变量。细胞的成熟率可以通过成熟细胞的量来调节,而且,它可能取决于细胞成熟度:我们研究了均衡的稳定性如何受到成熟率的选择的影响。我们表明线性稳定性的原理适用于该模型,并开发了一些分析方法,用于调查固定延迟的特性方程。对于一般成熟速率,我们采用了数控方法,我们扩展了伪谱分离技术,以近似与常微分方程系统的状态依赖性延迟方程。这是对非线性状态依赖延迟方程的第一次应用于非线性状态依赖性延迟方程,以及目前唯一可用于通过建立的分支分析的软件包来研究均衡的稳定性的方法。当成熟率与成熟度无关时,在某些情况下验证了数值方法,并且该模型可以通过合适的时间转换作为固定延迟方程来重新重整为固定延迟方程。我们利用分析和数值方法来研究参数平面中的稳定边界。我们的研究表明,在模型参数上的假设下稳定边界的一些急剧性变化,这可能具有重要的生物学意义。

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