Efficient Solution of Fractional Partial Differential Equations Using Modified Adomian Decomposition Method

Thursday 13 March 2025


The quest for efficient solutions to complex mathematical problems has long been a driving force behind technological innovation. In recent years, researchers have turned their attention to fractional partial differential equations (FPDEs), which describe phenomena that exhibit non-integer order behavior. These equations are crucial in modeling various natural and artificial systems, from fluid dynamics to epidemiology.


The challenge lies in developing methods that can accurately and efficiently solve FPDEs. Traditional numerical techniques often struggle to capture the intricate behavior of these equations, leading to inaccuracies and computational bottlenecks. To overcome this hurdle, scientists have explored novel approaches based on fractional calculus and decomposition methods.


A recent study presents a modified approach to solving initial-boundary value problems (IBVPs) associated with FPDEs. The researchers, leveraging the Laplace transformation and Adomian decomposition method, have developed a technique that significantly improves upon existing methods. This new approach demonstrates remarkable accuracy and efficiency in tackling complex IBVPs.


The Adomian decomposition method, initially proposed by George Adomian in the 1980s, is a powerful tool for solving nonlinear differential equations. By decomposing the problem into simpler components, this method enables researchers to tackle problems that would otherwise be intractable. However, its application to FPDEs has been limited due to difficulties in handling the fractional derivative operator.


The modified approach introduced in this study addresses these challenges by incorporating the Laplace transformation, a powerful tool for solving differential equations. By combining the Laplace transform with the Adomian decomposition method, researchers can efficiently solve IBVPs involving FPDEs. This technique offers several advantages over traditional methods, including improved accuracy and reduced computational complexity.


Numerical experiments demonstrate the efficacy of this modified approach in tackling various IBVPs associated with FPDEs. The results show that the new method converges rapidly to the exact solution, even for problems with complex boundary conditions. Moreover, the approach exhibits excellent stability and robustness, making it an attractive option for real-world applications.


The implications of this research are far-reaching, as they open up new avenues for modeling and analyzing complex phenomena in fields such as physics, engineering, and biology. By providing a reliable and efficient method for solving IBVPs involving FPDEs, researchers can better understand and predict the behavior of these systems, ultimately leading to innovations that transform our daily lives.


In essence, this study represents a significant milestone in the development of mathematical techniques for solving complex problems.


Cite this article: “Efficient Solution of Fractional Partial Differential Equations Using Modified Adomian Decomposition Method”, The Science Archive, 2025.


Fractional Partial Differential Equations, Adomian Decomposition Method, Laplace Transformation, Initial-Boundary Value Problems, Nonlinear Differential Equations, Fractional Calculus, Numerical Methods, Computational Complexity, Stability And Robustness, Mathematical Modeling.


Reference: Qasim Khan, Anthony Suen, “Modified approach for linear and non-linear IBVPs with fractional dynamics” (2025).


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