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An enhanced ultraspherical collocation framework with Chebyshev nodes for the time-fractional FitzHugh–Nagumo equation

  • Youssri Hassan Youssri
  • , Muhammad Mujtaba Shaikh
  • , Iqbal M. Batiha
  • , Nidal Anakira
  • , Irianto Irianto
  • , Tala Sasa
  • Cairo University
  • Mehran University of Engineering & Technology
  • Al-Zaytoonah University of Jordan
  • Sohar University
  • Rabdan Academy
  • Applied Science Private University

Research output: Contribution to journalArticlepeer-review

Abstract

This work introduces a novel spectral collocation scheme based on ultraspherical (Gegenbauer) polynomials evaluated at Chebyshev–Gauss–Lobatto nodes for the numerical treatment of the nonlinear inhomogeneous time-fractional FitzHugh–Nagumo differential problem. The proposed methodology exploits the flexibility of the ultraspherical parameter λ > −12 to achieve enhanced accuracy and stability. We derived new operational matrices for both integer-order and Caputo fractional derivatives of the shifted ultraspherical basis, accompanied by rigorous proofs. A comprehensive convergence analysis in the L2 norm was established, demonstrating spectral accuracy. Extensive numerical experiments confirmed that the proposed method outperforms the classical Legendre-based approach for optimal choices of λ, with errors reduced by several orders of magnitude. The superiority of optimized λ over the Legendre case (λ = 12) was demonstrated through both numerical benchmarks and theoretical error bounds that explicitly depend on λ, showing that the Legendre choice is not universally optimal for problems with boundary layers or specific regularity properties. An efficient algorithmic implementation was provided, and comparative tables illustrate the superiority of the ultraspherical framework across various fractional orders and parameter settings.

Original languageEnglish
Pages (from-to)13710-13743
Number of pages34
JournalAIMS Mathematics
Volume11
Issue number5
DOIs
StatePublished - 2026

Keywords

  • Chebyshev nodes
  • L-convergence
  • error analysis
  • operational matrices
  • spectral collocation
  • time-fractional FitzHugh–Nagumo equation
  • ultraspherical polynomials

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