Advances in Dual Integral Equations

Download or Read eBook Advances in Dual Integral Equations PDF written by B.N. Mandal and published by Routledge. This book was released on 2022-01-26 with total page 233 pages. Available in PDF, EPUB and Kindle.
Advances in Dual Integral Equations
Author :
Publisher : Routledge
Total Pages : 233
Release :
ISBN-10 : 9781351468350
ISBN-13 : 1351468359
Rating : 4/5 (50 Downloads)

Book Synopsis Advances in Dual Integral Equations by : B.N. Mandal

Book excerpt: The effectiveness of dual integral equations for handling mixed boundary value problems has established them as an important tool for applied mathematicians. Their many applications in mathematical physics have prompted extensive research over the last 25 years, and many researchers have made significant contributions to the methodology of solving and to the applications of dual integral equations. However, until now, much of this work has been available only in the form of research papers scattered throughout different journals. In Advances in Dual Integral Equations, the authors systematically present some of the recent developments in dual integral equations involving various special functions as kernel. They examine dual integral equations with Bessel, Legendre, and trigonometric functions as kernel plus dual integral equations involving inverse Mellin transforms. These can be particularly useful in studying certain mixed boundary value problems involving homogeneous media in continuum mechanics. However, when dealing with problems involving non-homogenous media, the corresponding equations may have different kernels. This application prompts the authors to conclude with a discussion of hybrid dual integral equations-mixed kernels with generalized associated Legendre functions and mixed kernels involving Bessel functions. Researchers in the theory of elasticity, fluid dynamics, and mathematical physics will find Advances in Dual Integral Equations a concise, one-stop resource for recent work addressing special functions as kernel.


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