Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise

ABSTRACT In this study, we delve into the stochastic Hirota–Maccari system, which is subjected to multiplicative noise according to the Itô sense. The stochastic Hirota–Maccari system is significant for its ability to accurately model how stochastic affects nonlinear wave propagation, providing valuable insights into complex systems like fluid dynamics and optical fibers. It enhances understanding of the interplay between noise and nonlinearity, benefiting both theoretical research and practical applications in stochastic nonlinear dynamics. Our primary objective is to uncover new insights into this system by utilizing the generalized Jacobi elliptic function method. Through this methodology, we reveal a spectrum of novel solutions, including Jacobi elliptic functions, dark solitons, singular solitons, periodic waves, and Weierstrass elliptic functions. Numerical results illustrate the behavior of these solutions under different noise strengths, confirming their robustness. Furthermore, a comparative analysis with existing methodologies highlights the advantages of our approach in capturing stochastic effects in nonlinear wave dynamics. Comprehensive numerical tables and visualizations, including 3D, 2D, and contour plots, provide deeper insight into the system's dynamics, reinforcing its applicability to fields such as material science and biophysics.

Authors

Institutions

Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-04-21
DOI
https://doi.org/10.1002/mma.10978
Citations
2
Primary Topic
Nonlinear Waves and Solitons
Type
article
Field-Weighted Citation Impact
2.65

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise

Khaled A. Gepreel, Yakup Yıldırım, Mohamed E.M. Alngar, Reham M. A. Shohib
2 citations
Mathematical Methods in the Applied Sciences
Nonlinear Waves and Solitons
2.65
article

Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise

Khaled A. Gepreel, Yakup Yıldırım, Mohamed E.M. Alngar, Reham M. A. Shohib
article en
2 citations

Abstract

ABSTRACT In this study, we delve into the stochastic Hirota–Maccari system, which is subjected to multiplicative noise according to the Itô sense. The stochastic Hirota–Maccari system is significant for its ability to accurately model how stochastic affects nonlinear wave propagation, providing valuable insights into complex systems like fluid dynamics and optical fibers. It enhances understanding of the interplay between noise and nonlinearity, benefiting both theoretical research and practical applications in stochastic nonlinear dynamics. Our primary objective is to uncover new insights into this system by utilizing the generalized Jacobi elliptic function method. Through this methodology, we reveal a spectrum of novel solutions, including Jacobi elliptic functions, dark solitons, singular solitons, periodic waves, and Weierstrass elliptic functions. Numerical results illustrate the behavior of these solutions under different noise strengths, confirming their robustness. Furthermore, a comparative analysis with existing methodologies highlights the advantages of our approach in capturing stochastic effects in nonlinear wave dynamics. Comprehensive numerical tables and visualizations, including 3D, 2D, and contour plots, provide deeper insight into the system's dynamics, reinforcing its applicability to fields such as material science and biophysics.

Mathematical Methods in the Applied Sciences
Taif University (SA), Biruni University (TR), High Institute for Management Sciences (EG), Sohar University (OM), Near East University (CY)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, Taif University
Openalex Percentile: Top 11%
Nonlinear Waves and Solitons
2.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise — Khaled A. Gepreel, Yakup Yıldırım, et al. · Mathematical Methods in the Applied Sciences (2025) | TGRS Research Map | TGRS