Optical Soliton Solutions for the Conformable Nonlinear Hybrid-Lattice Equation Using the Generalized Kudryashov Method

Authors

  • Aysel Ramazanova Department of Mathematics, Universität Duisburg-Essen, Essen, Germany Author
  • Hazal Yüksekkaya Department of Mathematics, Hakkari University, Hakkari, Türkiye Author
  • Nasir Ali Department of Mathematics, COMSATS University Islamabad, Vehari Campus, Vehari, Pakistan Author
  • Davron Aslonqulovich Juraev Laboratory of Information Security and Cybersecurity, Azerbaijan University of Architecture and Construction, Baku, Azerbaijan , Scientific Laboratory of Dynamical Systems and Their Applications, Institute of Mathematics, Uzbekistan Academy of Sciences, Tashkent, Uzbekistan Author

Keywords:

Hybrid-Lattice Equation, Conformable Calculus, Generalized Kudryashov Method, Optical Solitons, Discrete Systems, Singularity Analysis

Abstract

In this work, we investigate the propagation of nonlinear waves in a discrete semi-infinite chain modeled by the conformable Hybrid-Lattice equation. By employing the continuum limit approximation, we transform the governing Differential-Difference Equation (DDE) into a nonlinear partial differential equation with fractional temporal evolution. We propose the application of the Generalized Kudryashov Method (GKM), a robust analytical technique that constructs solutions using exponential rational functions. This approach yields new exact solutions, including topological kink solitons and singular blow-up waves, which are essential for understanding energy transport and instability in nonlinear lattices. The impact of the fractional order α and the auxiliary base parameter A on the wave velocity and steepness is analyzed through comprehensive numerical simulations. The results demonstrate the efficiency of the GKM in solving fractional nonlinear evolution equations.

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Published

2026-09-30

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Research Articles

How to Cite

Optical Soliton Solutions for the Conformable Nonlinear Hybrid-Lattice Equation Using the Generalized Kudryashov Method. (2026). Sigma Journal of Mathematical and Statistical Sciences, 1(1), 13-20. https://sjmss.altechpress.com/index.php/sjmss/article/view/12