Some New Results on the Generalized Double Laplace Transform and Its Properties

Authors

  • Diksha P. Atugade Department of Mathematics, K.L.E. Society’s Science and Commerce College (affiliated to University of Mumbai), Kalamboli, Navi Mumbai 410218, Maharshtra, India https://orcid.org/0009-0003-3117-2665
  • Anil P. Hiwarekar Department of Mathematics, Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology (affiliated to Savitribai Phule Pune University), Baramati, Pune 413133, Maharshtra, India https://orcid.org/0000-0003-2070-4534

DOI:

https://doi.org/10.26713/cma.v16i3.3368

Keywords:

Two-dimensional Laplace transform, Generalized Laplace transform, Convolution theorem, Integral transforms, Partial differential equations

Abstract

Integral transformations play a fundamental role in various scientific and engineering domains, providing powerful tools for solving differential, integral, and functional equations. Among these, the Laplace transform is one of the most widely used, and many other emerging integral transforms are direct generalizations or modifications of it. This paper focuses on an extension of the classical Laplace transform to a new generalized double Laplace transform framework. The proposed transform is defined in terms of arbitrary, strictly increasing kernel functions, enabling greater flexibility in handling problems with non-uniform scaling in multiple variables. Fundamental properties of the transform, including linearity, shifting, change of scale, and convolution theorems, are established. Moreover, the study establishes that the classical double Laplace transform arises as a particular case within the framework of the generalized version. The derived framework broadens applicability to a wider range of partial differential equations (PDEs) in mathematics and physics.

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Published

30-10-2025
CITATION

How to Cite

Atugade, D. P., & Hiwarekar, A. P. (2025). Some New Results on the Generalized Double Laplace Transform and Its Properties. Communications in Mathematics and Applications, 16(3), 975–986. https://doi.org/10.26713/cma.v16i3.3368

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Section

Research Article