Marat Akhmet

Ultra Poincaré Chaos and Alpha Labeling (eBook, ePUB)

A new approach to chaotic dynamics

• Format: ePub

Produktbeschreibung

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 analytical and algorithmic tool to investigate and construct complexity within the dynamics, probabilities, and geometries of science and industry. An integral component of the research involves historical and philosophical observations, which can aid in understanding the current results and offer insights for future investigations.

The manuscript aims to provide solid guidance for studying complexities through rigorous mathematical methods. The new type of 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. Additionally, we discover that Bernoulli schemes and Markov chains exhibit alpha unpredictable realizations under specific conditions.

Alpha labeling is set to become an essential framework for conducting research across various mathematical complexities. Arranging chaotic structures in self-similar fractals has become a routine undertaking. Researchers are encouraged to explore methods that promote the development of chaos theory rooted not in Lorenz sensitivity but in the alpha unpredictability. The exploration of chaos in hyperbolic, unbounded structures and in random processes can be effectively carried out within this theoretical framework.

Several innovative research methods, including dynamical and random algorithms and compartmental functions, further enhance the content. The manuscript proposes an unexpectedly straightforward approach to proving Poisson stability alongside various realizations of this concept and asymptotic visualizations of recurrent functions as motions of dynamics.

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Produktdetails

• Verlag: Institute of Physics Publishing
• Erscheinungstermin: 15. November 2024
• Englisch
• ISBN-13: 9780750351621
• Artikelnr.: 72584250

Autorenporträt

Dr. Marat Akhmet is presently a Professor in the Department of Mathematics at METU in Ankara, Turkey. In recent years, he has been exploring continuous and discontinuous dynamics, artificial neural networks alongside stability, chaos, and fractals. He has authored eight books and published over two hundred scientific papers.