6 Stability, Told by Its Developers (original) (raw)

2006, Lecture Notes in Control and Information Science

AI-generated Abstract

This paper presents a comprehensive examination of stability in the context of dynamical systems, beginning with an overview of the challenges posed by initial condition uncertainties in differential equations. Through a rigorous mathematical framework, the authors define stability in formal terms and discuss relevant concepts such as perturbed solutions and motion space. The work delves into classical stability theory and the conditions that allow solutions to remain close to reference trajectories over time, emphasizing the importance of understanding perturbations as variations in initial conditions rather than external disturbances.

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Stability concepts and their applications

Computers & Mathematics with Applications, 2014

The stability is one of the most basic requirement for the numerical model, which is mostly elaborated for the linear problems. In this paper we analyze the stability notions for the nonlinear problems. We show that, in case of consistency, both the N-stability and K-stability notions guarantee the convergence. Moreover, by using the N-stability we prove the convergence of the centralized Crank-Nicolson-method for the periodic initial-value transport equation. The K-stability is applied for the investigation of the forward Euler method and the θ-method for the Cauchy problem with lipschitzian right side.

Note on the Stability of System of Differential Equations ...

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Note on the stability for linear systems of differential equations

In this paper, by applying the fixed point alternative method, we give a necessary and sufficient condition in order that the first order linear system of differential equationsż(t) + A(t)z(t) + B(t) = 0 has the Hyers-Ulam-Rassias stability and find Hyers-Ulam stability constant under those conditions. In addition to that we apply this result to a second order differential equationÿ(t) + f (t)ẏ(t) + g(t)y(t) + h(t) = 0.

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