Investigating multi-soliton patterns and dynamical characteristics of the (3+1)-dimensional equation via phase portraits

In this study, we investigate the deeper characteristics of the modified Ito equation, which can be applied across various scientific domains to represent systems influenced by noise and randomness. Multi-solitons, including 1-wave, 2-wave, and 3-wave solitons, have been successfully generated using a multiple exponential-function approach. For visual representation, the outcomes are displayed through 3D, 2D, density, and contour plots. The wave transformation is then applied to convert the studied model into an ordinary differential equation. Following this, the dynamic nature of the model is examined from various viewpoints, including bifurcation, chaotic phenomena, multistability, and sensitivity analysis. Bifurcation shows how the solution of a planar system depends on equilibrium points, and when an outward periodic force is implemented to the unperturbed planar system, it reveals chaotic characteristics. These are analyzed using tools such as 3-dimensional and 2-dimensional plots, time scale plots, and Poincaré maps. Additionally, the model’s sensitivity is assessed with varying initial values. The results underscore the effectiveness and relevance of the proposed approaches for examining solitons within a broad spectrum of nonlinear systems.

Authors

Publication Details

Journal
Partial Differential Equations in Applied Mathematics
Published
2024-09-17
DOI
https://doi.org/10.1016/j.padiff.2024.100926
Citations
2
Primary Topic
Nonlinear Waves and Solitons
Type
article
Field-Weighted Citation Impact
0.56
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating multi-soliton patterns and dynamical characteristics of the (3+1)-dimensional equation via phase portraits

Adil Jhangeer, Muhammad Bilal Riaz, Syeda Sarwat Kazmi, Tomas Kozubek
2 citations
Partial Differential Equations in Applied Mathematics
Nonlinear Waves and Solitons
0.56
article

Investigating multi-soliton patterns and dynamical characteristics of the (3+1)-dimensional equation via phase portraits

Adil Jhangeer, Muhammad Bilal Riaz, Syeda Sarwat Kazmi, Tomas Kozubek
article en
2 citations

Abstract

In this study, we investigate the deeper characteristics of the modified Ito equation, which can be applied across various scientific domains to represent systems influenced by noise and randomness. Multi-solitons, including 1-wave, 2-wave, and 3-wave solitons, have been successfully generated using a multiple exponential-function approach. For visual representation, the outcomes are displayed through 3D, 2D, density, and contour plots. The wave transformation is then applied to convert the studied model into an ordinary differential equation. Following this, the dynamic nature of the model is examined from various viewpoints, including bifurcation, chaotic phenomena, multistability, and sensitivity analysis. Bifurcation shows how the solution of a planar system depends on equilibrium points, and when an outward periodic force is implemented to the unperturbed planar system, it reveals chaotic characteristics. These are analyzed using tools such as 3-dimensional and 2-dimensional plots, time scale plots, and Poincaré maps. Additionally, the model’s sensitivity is assessed with varying initial values. The results underscore the effectiveness and relevance of the proposed approaches for examining solitons within a broad spectrum of nonlinear systems.

Partial Differential Equations in Applied MathematicsVol. 12
Climate action
Openalex Percentile: Top 35%
Nonlinear Waves and Solitons
0.56
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.