arXiv subjects

Illych Alvarez

Publications and source records attributed to Illych Alvarez.

4 recordsLinked to original sources

arXiv2024

New Theorem on Chaos Transitions in Second-Order Dynamical Systems with Tikhonov Regularization

This study examines second-order dynamical systems incorporating Tikhonov regularization. It focuses on how nonlinearities induce bifurcations and chaotic dynamics. By using Lyapunov functions, bifurcation theory, and numerical simulations, we identify critical transitions that lead to complex behaviors like strange attractors and chaos. The findings provide a theoretical framework for applications in optimization, machine learning, and biological modeling. Key contributions include stability conditions, characterization of chaotic regimes, and methods for managing nonlinear instabilities in interdisciplinary systems.

math.DS↗

arXiv2024

Extending Chaos Theory: The Role of Nonlinearity in Multiple Mappings

This work redefines the framework of chaos in dynamical systems by extending Devaney's definition to multiple mappings, emphasizing the pivotal role of nonlinearity. We propose a novel theorem demonstrating how nonlinear dynamics within a single mapping can induce chaos across a collective system, even when other components lack sensitivity. To validate these insights, we introduce advanced computational algorithms implemented in MATLAB, capable of detecting and visualizing key chaotic features such as transitivity, sensitivity, and periodic points. The results unveil new behaviors in higherdimensional systems, bridging theoretical advances with practical applications in physics, biology, and economics. By uniting rigorous mathematics with computational innovation, this study lays a foundation for future exploration of nonlinear dynamics in complex systems, offering transformative insights into the interplay between structure and chaos. Keywords: Nonlinearity, Chaos Theory, Multiple Mappings, Devaney Chaos, Computational Algorithms, Dynamical Systems.

nlin.CD↗

arXiv2024

Advancing Chaos Theory: A Set-Valued Perspective on Multiple Mappings with Computational Detection Algorithms

This study redefines the analysis of Devaney chaos in multiple mappings from a set-valued perspective and introduces new conditions to characterize their chaotic behavior. As an innovative advancement, we develop computational algorithms to detect and visualize chaotic features such as transitivity and sensitivity. These algorithms provide tools to explore complex dynamics in higher-dimensional systems, validating theoretical concepts and opening new research avenues in chaos theory.

nlin.CD↗

arXiv2024

Recurrence in collective dynamics: From the hyperspace to fuzzy dynamical systems

We study for a dynamical system $f:X\longrightarrow X$ some of the principal topological recurrence-kind properties with respect to the induced maps $\overline{f}:\mathcal{K}(X)\longrightarrow\mathcal{K}(X)$, on the hyperspace of non-empty compact subsets of $X$, and $\hat{f}:\mathcal{F}(X)\longrightarrow\mathcal{F}(X)$, on the space of normal fuzzy sets consisting of the upper-semicontinuous functions $u:X\longrightarrow [0,1]$ with compact support and such that $u^{-1}(\{1\})\neq\varnothing$. In particular, we characterize the properties of topological and multiple recurrence for the extended systems $(\mathcal{K}(X),\overline{f})$ and $(\mathcal{F}(X),\hat{f})$, which cover the cases of the so-called nonwandering and Van der Waerden systems. Special attention is given to the case where the underlying space is completely metrizable, for which we obtain some stronger point-recurrence equivalences.

math.DS↗