4.7 Article

Operator Kernel Functions in Operational Calculus and Applications in Fractals with Fractional Operators

期刊

FRACTAL AND FRACTIONAL
卷 7, 期 10, 页码 -

出版社

MDPI
DOI: 10.3390/fractalfract7100755

关键词

operational calculus; operator kernel function; physical fractal; integral transform; fractional operator

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In this study, we delve into the general theory of operator kernel functions in operational calculus and establish a mapping relation between the kernel function and the corresponding operator. This research demonstrates the uniqueness of the kernel function and provides a novel perspective on how operational calculus can be understood and applied. The accuracy of the proposed method is substantiated through consistency tests and its application is illustrated in different structures. These results highlight the importance of this study for the understanding and application of operational calculus.
In this study, we delve into the general theory of operator kernel functions (OKFs) in operational calculus (OC). We established the rigorous mapping relation between the kernel function and the corresponding operator through the primary translation operator e-pt, which bears a striking resemblance to the Laplace transform. Our research demonstrates the uniqueness of the kernel function, determined by the rules of operational calculus and its integral representation. This discovery provides a novel perspective on how the operational calculus can be understood and applied, particularly through convolution with kernel functions. We substantiate the accuracy of the proposed method by demonstrating the consistency between the operator solution and the classical solution for the heat conduction problem. Subsequently, on the fractal tree, fractal loop, and fractal ladder structures, we illustrate the application of operational calculus in viscoelastic constitutive and hemodynamics confirming that the method proposed unifies the OKFs in the existing OC theory and can be extended to the operator field. These results underscore the practical significance of our results and open up new possibilities for future research.

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