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Determination of the area of exponential attraction in one-dimensional finite-time systems using meshless collocation
Author(s) -
Peter Giesl,
James McMichen
Publication year - 2018
Publication title -
discrete and continuous dynamical systems - b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 53
eISSN - 1553-524X
pISSN - 1531-3492
DOI - 10.3934/dcdsb.2018094
Subject(s) - mathematics , contraction (grammar) , ordinary differential equation , collocation method , exponential function , partial differential equation , contraction mapping , mathematical analysis , exponential growth , collocation (remote sensing) , boundary value problem , initial value problem , differential equation , metric space , computer science , medicine , machine learning
We consider a non-autonomous ordinary differential equation over a finite time interval \begin{document}$[T_1,T_2]$\end{document} . The area of exponential attraction consists of solutions such that the distance to adjacent solutions exponentially contracts from \begin{document}$T_1$\end{document} to \begin{document}$T_2$\end{document} . One can use a contraction metric to determine an area of exponential attraction and to provide a bound on the rate of attraction. In this paper, we will give the first method to algorithmically construct a contraction metric for finite-time systems in one spatial dimension. We will show the existence of a contraction metric, given by a function which satisfies a second-order partial differential equation with boundary conditions. We then use meshless collocation to approximately solve this equation, and show that the resulting approximation itself defines a contraction metric, if the collocation points are sufficiently dense. We give error estimates and apply the method to an example.

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