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To infinity and some glimpses of beyond
Panayotis G Kevrekidis1, Constantinos I Siettos2, Yannis G Kevrekidis3,4,5
1Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, MA, 01003-4515, USA.
Nature Communications
|November 18, 2017
Summary
Mathematical models reaching infinity can be analyzed beyond this limit using specific transformations. This approach makes solutions well-behaved and computations manageable, even for complex dynamic systems.
Area of Science:
- Mathematical Modeling
- Computational Dynamics
- Numerical Analysis
Background:
- Dynamic models often encounter singularities, reaching infinity in finite time.
- Extending analysis and numerical computations beyond these singularities presents significant challenges.
Purpose of the Study:
- To propose a methodology for extending the analysis of dynamic models beyond finite-time singularities.
- To enable continued computation and well-behaved solutions past points of infinity.
Main Methods:
- Employing suitable transformations to alter the model's behavior near infinity.
- Utilizing complexification for regularization and exploring its dynamic impact.
- Applying compactification transformations to manage singularities.
Main Results:
- Demonstrated successful continuation of analysis and computation beyond singularities in Ordinary Differential Equations.
- Developed adaptive strategies for Partial Differential Equations, including buffer zones for transformation identification.
- Showcased the effectiveness of complexification and compactification in managing infinite behaviors.
Conclusions:
- The proposed transformation-based methodology offers a systematic way to bypass finite-time singularities in evolution equations.
- This approach enhances the analytical and numerical tractability of models with challenging dynamic behaviors.
- The techniques are potentially applicable to a wide range of mathematical and computational models facing infinities.
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