Evidence map›Paper›PMID 41469418›Full record

ArticleScientific reports2025

Analytical technique and diverse chaos-identifying tools for the time fractional symmetric regularized long wave equation.

Mohammad Safi Ullah, Md Mehedi Hasan, Md Aman Mahbub

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mohammad Safi UllahDepartment of Mathematics, Comilla University, Cumilla, 3506, Bangladesh.
Md Mehedi HasanDepartment of Mathematics, Comilla University, Cumilla, 3506, Bangladesh.
Md Aman MahbubDepartment of Mathematics, Comilla University, Cumilla, 3506, Bangladesh. rinko.math@cou.ac.bd.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nonlinear conformable time-fractional symmetric regularized long wave (SRLW) equation is important in physics because it captures memory effects in fluid flow and describes how weakly nonlinear pulses evolve in optical fibers. This work solves the SRLW problem using the [Formula: see text]-expansion technique and obtain diverse exact solutions, such as breather waves, kinky breathers, double kinks, local breathers with kink waves, local breathers with lump waves, and local breathers with dark-bright solitons. Then, the three-dimensional representations, along with their density plots for the real, imaginary, and absolute value parts of these solutions are displayed. We also detect the system's chaotic nature using various chaos-identifying tools, such as strange attractors, return maps, Lyapunov exponents, and others. The findings demonstrate the usefulness of the mentioned method as a mathematical tool for resolving nonlinear conformable time-fractional problems that arise in various mathematical fields.

Indexed as

Chaotic analysis-expansion methodLyapunov exponentsStrange attractors

Identifiers

PMID41469418
PMCPMC12770373

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