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Ultra Poincaré Chaos and Alpha Labeling

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15 November 2024

This book serves as a comprehensive and detailed collection of knowledge on two innovative aspects of our research: ultra Poincaré chaos and alpha labeling. The first concept represents a fundamental trait of dynamical complexity, while the second acts as an algorithmic tool to analyse and construct complexity within the dynamics, probabilities, and geometries of science and industry.
The manuscript aims to provide solid guidance for studying complexities through rigorous mathematical methods. The chaos is derived from the dynamical characteristic of alpha unpredictability, representing a modernized version of Poisson stability motion. It builds upon the foundational work of Poincaré and Birkhoff, incorporating key new insights that expand upon the French genius’s contributions to the recurrence theorem, applicable in contexts such as the three-body problem.
Key Features:
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Explores the complexities found in fractals, dynamical systems, and stochastic processes
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Introduces an innovative analytical method for assessing random processes
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Offers a fresh perspective on fractal geometries
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Highlights the advantages of ultra Poincaré chaos
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Includes historical and philosophical insights

MATHEMATICS / Differential Equations / General, Chaos theory, SCIENCE / Chaotic Behavior in Systems, SCIENCE / Physics / Mathematical & Computational, Differential calculus and equations, Mathematical physics

Preface
Acknowledgements
Author biography
Part I Introduction
1 Historical and philosophical overview
Part II Alpha labeling and unpredictability
2 Alpha labels are a new mathematical structure
3 Alpha unpredictability implies a universal mathematical chaos
Part III Compartmental functions
4 Compartmental alpha unpredictable functions
Part IV Differential equations with ultra Poincaré chaos
5 Alpha unpredictable differential equations
Part V Numerical alpha unpredictability
6 Ultra Poincaré chaos numerically
Part VI Randomness and alpha labeling
7 Alpha labeled randomness
Part VII Markov chains and differential equations
8 Markov chains and stochastic differential equations
Part VIII Fractals with alpha spaces
9 Alpha induced dynamics in fractals and cubes