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Fractional-Modified Bessel Function of the First Kind of Integer Order

Authors: Andrés Martín; Ernesto Estrada;

Fractional-Modified Bessel Function of the First Kind of Integer Order

Abstract

The modified Bessel function (MBF) of the first kind is a fundamental special function in mathematics with applications in a large number of areas. When the order of this function is integer, it has an integral representation which includes the exponential of the cosine function. Here, we generalize this MBF to include a fractional parameter, such that the exponential in the previously mentioned integral is replaced by a Mittag–Leffler function. The necessity for this generalization arises from a problem of communication in networks. We find the power series representation of the fractional MBF of the first kind as well as some differential properties. We give some examples of its utility in graph/networks analysis and mention some fundamental open problems for further investigation.

Country
Spain
Keywords

communicability in graphs, paths, Paths, Fractional calculus, cycles, Modified Bessel functions, fractional calculus, Power-series, Caputo derivative, 510, power-series, Estrada index, Cycles, modified Bessel functions, Riemann–Liouville integral, QA1-939, Computer Science and Mathematics, Mittag–Leffler function, Communicability in graphs, Analysis, Mathematics

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selected citations
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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).
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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.
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