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Mathematics
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Mathematics
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Babenko’s Approach to Abel’s Integral Equations

Babenko's approach to Abel's integral equations
Authors: Chenkuan Li; Kyle Clarkson;

Babenko’s Approach to Abel’s Integral Equations

Abstract

The goal of this paper is to investigate the following Abel’s integral equation of the second kind: y ( t ) + λ Γ ( α ) ∫ 0 t ( t − τ ) α − 1 y ( τ ) d τ = f ( t ) , ( t > 0 ) and its variants by fractional calculus. Applying Babenko’s approach and fractional integrals, we provide a general method for solving Abel’s integral equation and others with a demonstration of different types of examples by showing convergence of series. In particular, we extend this equation to a distributional space for any arbitrary α ∈ R by fractional operations of generalized functions for the first time and obtain several new and interesting results that cannot be realized in the classical sense or by the Laplace transform.

Related Organizations
Keywords

Mittag-Leffler function, Laplace transform, fractional calculus, series convergence, distribution; fractional calculus; convolution; series convergence; Laplace transform; Gamma function; Mittag–Leffler function, gamma function, Fractional derivatives and integrals, Gamma function, distribution, QA1-939, convolution, Mittag–Leffler function, Integral equations of the convolution type (Abel, Picard, Toeplitz and Wiener-Hopf type), Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%
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