Dynamic complexity of fifth-dimensional Henon map with Lyapunov exponent, permutation entropy, bifurcation patterns and chaos

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
Md. Asraful Islam, Ivna Ratul Hassan, Payer Ahmed
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引用次数: 0

Abstract

The research analyses how the classic Henon map's adjustments affected the system's dynamical behavior and bifurcation frameworks. Analyzing the updated Henon map's parameter space reveals intricate patterns and transitions as the system bifurcates. The dynamical evolution of the map is studied through numerical simulations, providing insights into the emergence of novel features and behaviors. Furthermore, the Lyapunov exponent of the fifth-dimensional Henon map is calculated to quantify the system's sensitivity to initial conditions. The Lyapunov exponent serves as a crucial indicator of chaos and stability, aiding in the characterization of the map's complex dynamics. The paper presents dissipative, permutation entropy, basin of attraction and a comprehensive examination of the Lyapunov exponent across parameter ranges, shedding light on the system's overall stability and chaos. A number of theorems and a study on stability are demonstrated in this article. The results highlight the profound impact of modifications on the Henon map's dynamics, offering a deeper understanding of its behavior and bifurcation scenarios. This research adds to the larger body of knowledge in the areas of unusual systems and how they act in the context of the chaos hypothesis on the behavior of the Henon map. The results show that parameter adjustments substantially shape the dynamical complexity of the Henon map. This study presents a fifth-dimensional Hénon map-based encryption and random bit generator for secure image cryptography.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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