A generalized Richards growth model with conditional Hyers-Ulam stability

IF 1.8 3区 数学 Q1 MATHEMATICS, APPLIED
Douglas R. Anderson , Masakazu Onitsuka
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引用次数: 0

Abstract

The Hyers–Ulam stability of a first-order nonlinear differential equation based on a generalized Richards growth model (also known as a Savageau growth model) is conditionally established based on the maximum size of the perturbation being not too large and the initial condition being not too small in terms of the carrying capacity and the powers involved. The Hyers–Ulam stability constants are determined explicitly and are shown to depend on the relative sizes of the power parameters in the model. Examples are provided of both stability and instability to illustrate the sharpness of our results. The main result is then applied to a tissue growth model. These results generalize known stability properties of the logistic equation and contribute to the theory of functional stability in nonlinear differential equations, with implications for population and biological models and related applications.
具有条件Hyers-Ulam稳定性的广义Richards增长模型
基于广义Richards增长模型(又称Savageau增长模型)的一阶非线性微分方程的Hyers-Ulam稳定性是有条件地建立在摄动的最大尺寸不太大,初始条件在承载能力和所涉及的幂次方面不太小的基础上。Hyers-Ulam稳定常数是明确确定的,并显示依赖于模型中功率参数的相对大小。文中还提供了稳定性和不稳定性的例子来说明我们的结果的明晰性。然后将主要结果应用于组织生长模型。这些结果推广了logistic方程已知的稳定性性质,并有助于非线性微分方程的泛函稳定性理论,对种群和生物模型及其相关应用具有重要意义。
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来源期刊
CiteScore
3.80
自引率
5.00%
发文量
176
审稿时长
59 days
期刊介绍: Nonlinear Analysis: Real World Applications welcomes all research articles of the highest quality with special emphasis on applying techniques of nonlinear analysis to model and to treat nonlinear phenomena with which nature confronts us. Coverage of applications includes any branch of science and technology such as solid and fluid mechanics, material science, mathematical biology and chemistry, control theory, and inverse problems. The aim of Nonlinear Analysis: Real World Applications is to publish articles which are predominantly devoted to employing methods and techniques from analysis, including partial differential equations, functional analysis, dynamical systems and evolution equations, calculus of variations, and bifurcations theory.
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