PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 10, 2025European Journal of Pure and Applied Mathematics0 citationsOpen Access

Analytical and Numerical Investigation of a Fractional Order 4D Chaotic System via Caputo Fractional Derivative

View Full Paper
IKIlhem KadriRSRania SaadehDADalal Almutairi

Key Points

  • The combined approaches accurately predict chaotic behavior in a fractional order chaotic system, revealing new insights.
  • Using parameter values like ν = 0.95 improves numerical simulations, showcasing effective representation of dynamics.
  • The study employs the Residual Power Series Method and Caputo fractional derivative to derive analytical solutions.
  • These methods enhance understanding of chaotic attractors while ensuring computational efficiency and numerical stability.

Abstract

This work applies two efficient techniques to investigate fractional-order systems: the Residual Power Series Method (RPSM) and the Caputo fractional derivative (CFD). Both are utilized, especially to evaluate chaotic behavior and investigate the complex dynamics associated with a four-dimensional fractional-order chaotic system. Reliable and efficient numerical simula-tions with the complexity of chaotic behavior are obtained using the CFD approach. Furthermore, derived analytical solutions of the fractional-order 4D system using the RPSM are obtained. This approach is highly preferred as it can handle several beginning conditions, is computationally efficient, and is numerically stable, hence producing rather precise results. Combining RPSM’sanalytical capacity with CFD’s strong numerical accuracy offers a comprehensive understanding of the system dynamics. Although RPSM is best for stability and simplicity of use, the CFD technique is especially helpful because of its great accuracy in predicting chaotic behavior. The suggested methods precisely define their dynamics, provide exact solutions, and clearly identify chaotic attractors. For instance, representative parameter values used in our analysis are (ν = 0.95, 0.99, 1). These results show how well CFD- and RPSM-based methods represent and solve challenging problems in engineering and scientific research.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kadri et al. (2025) studied this question.

synapsesocial.com/papers/68c1a77a54b1d3bfb60e0c09https://doi.org/10.29020/nybg.ejpam.v18i3.6381
Ask AI
Helpful
Bookmark
Share
View Full Paper