Variational principle, Hamiltonian and exact solutions of the fractional stochastic Nizhnik–Novikov–Veselov system

Purpose This study aims to investigate the stochastic Nizhnik–Novikov–Veselov (SNNV) system; incorporating local fractional derivatives, to enhance the understanding of its dynamics. Design/methodology/approach We utilize the semi-inverse method to formulate the variational principle, which serves as the foundation for deriving the Hamiltonian. To find various exact solutions of the fractional stochastic system, we propose a novel variable coefficient sub-equation method, which differs from traditional sub-equation methods that employ constant coefficients. Findings The proposed technique provides new analytical solutions, thereby enhancing our understanding of the system's dynamics. It establishes a robust framework for exploring similar fractional stochastic models in mathematical physics. Additionally, graphical simulations are presented to illustrate the physical relevance and behavior of the obtained solutions. Originality/value This study introduces a novel approach to solving fractional stochastic systems, contributing significant analytical tools and insights that advance the field of mathematical physics. Furthermore, we present a fractional and stochastic formulation of the SNNV system.

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Publication Details

Journal
Engineering Computations
Published
2026-06-19
DOI
https://doi.org/10.1108/ec-11-2025-1387
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

Variational principle, Hamiltonian and exact solutions of the fractional stochastic Nizhnik–Novikov–Veselov system

Mir Sajjad Hashemi, Mustafa Bayram
Engineering Computations
Fractional Differential Equations Solutions
article

Variational principle, Hamiltonian and exact solutions of the fractional stochastic Nizhnik–Novikov–Veselov system

Mir Sajjad Hashemi, Mustafa Bayram
article en

Abstract

Purpose This study aims to investigate the stochastic Nizhnik–Novikov–Veselov (SNNV) system; incorporating local fractional derivatives, to enhance the understanding of its dynamics. Design/methodology/approach We utilize the semi-inverse method to formulate the variational principle, which serves as the foundation for deriving the Hamiltonian. To find various exact solutions of the fractional stochastic system, we propose a novel variable coefficient sub-equation method, which differs from traditional sub-equation methods that employ constant coefficients. Findings The proposed technique provides new analytical solutions, thereby enhancing our understanding of the system's dynamics. It establishes a robust framework for exploring similar fractional stochastic models in mathematical physics. Additionally, graphical simulations are presented to illustrate the physical relevance and behavior of the obtained solutions. Originality/value This study introduces a novel approach to solving fractional stochastic systems, contributing significant analytical tools and insights that advance the field of mathematical physics. Furthermore, we present a fractional and stochastic formulation of the SNNV system.

Engineering Computations
University of Bonab (IR), Biruni University (TR)
Openalex Percentile: Top 7%
Fractional Differential Equations Solutions
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Variational principle, Hamiltonian and exact solutions of the fractional stochastic Nizhnik–Novikov–Veselov system — Mir Sajjad Hashemi, Mustafa Bayram · Engineering Computations (2026) | TGRS Research Map | TGRS