AN EFFICIENT TECHNIQUE VIA THE $\mathbb{J}$-TRANSFORM DECOMPOSITION METHOD: THEORETICAL ANALYSIS WITH APPLICATIONS

The nonlinear Klein–Gordon equation, which describes nonlinear wave interaction and arises from the study of quantum field theory, is one of the most notable differential equations. In this research, we solve the equation using a novel approach. It is used in many areas of mathematics, such as conformal mapping theory, physics, and algebraic geometry. In the current work, the $ \mathbb{J}- $transform Adomian decomposition method ($ \mathbb{JADM} $) is applied to provide exact solutions for a variety of nonlinear partial differential equations (PDES). We provide comprehensive proofs for novel theorems related to the $ \mathbb{J}- $transform methodology. This method is based on the $ \mathbb{J}- $transform method ($ \mathbb{JTM} $) and the Adomian decomposition method ($ \mathbb{ADM} $). The theoretical analysis of the $ \mathbb{JADM} $ is investigated and computed using easily obtained terms for some differential equations. Our results are compared with exact solutions obtained by other methods that can be found in the literature. The paper describes the important aspects of the $ \mathbb{JADM} $. The $ \mathbb{JADM} $ has demonstrated a high degree of efficiency, accuracy, and adaptability to a wide range of differential equations, both linear and nonlinear. Mathematica was used for much of the symbolic and numerical calculations $ \Omega $.

Authors

Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-01-01
DOI
https://doi.org/10.11948/20240248
Citations
2
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
3.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AN EFFICIENT TECHNIQUE VIA THE $\mathbb{J}$-TRANSFORM DECOMPOSITION METHOD: THEORETICAL ANALYSIS WITH APPLICATIONS

Nazek A. Obeidat, Mahmoud S. Rawashdeh, Mohammad Smadi
2 citations
Journal of Applied Analysis & Computation
Matrix Theory and Algorithms
3.01
article

AN EFFICIENT TECHNIQUE VIA THE $\mathbb{J}$-TRANSFORM DECOMPOSITION METHOD: THEORETICAL ANALYSIS WITH APPLICATIONS

Nazek A. Obeidat, Mahmoud S. Rawashdeh, Mohammad Smadi
article en
2 citations

Abstract

The nonlinear Klein–Gordon equation, which describes nonlinear wave interaction and arises from the study of quantum field theory, is one of the most notable differential equations. In this research, we solve the equation using a novel approach. It is used in many areas of mathematics, such as conformal mapping theory, physics, and algebraic geometry. In the current work, the $ \mathbb{J}- $transform Adomian decomposition method ($ \mathbb{JADM} $) is applied to provide exact solutions for a variety of nonlinear partial differential equations (PDES). We provide comprehensive proofs for novel theorems related to the $ \mathbb{J}- $transform methodology. This method is based on the $ \mathbb{J}- $transform method ($ \mathbb{JTM} $) and the Adomian decomposition method ($ \mathbb{ADM} $). The theoretical analysis of the $ \mathbb{JADM} $ is investigated and computed using easily obtained terms for some differential equations. Our results are compared with exact solutions obtained by other methods that can be found in the literature. The paper describes the important aspects of the $ \mathbb{JADM} $. The $ \mathbb{JADM} $ has demonstrated a high degree of efficiency, accuracy, and adaptability to a wide range of differential equations, both linear and nonlinear. Mathematica was used for much of the symbolic and numerical calculations $ \Omega $.

Journal of Applied Analysis & ComputationVol. 15(2)
Openalex Percentile: Top 8%
Matrix Theory and Algorithms
3.01
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.