Abstract:In the present paper we introduce some expansions, based on the falling factorials, for the Euler Gamma function and the Riemann Zeta function. In the proofs we use the Faá di Bruno formula, Bell polynomials, potential polynomials, Mittag-Leffler polynomials, derivative polynomials and special numbers (Eulerian numbers and Stirling numbers of both kinds). We investigate the rate of convergence of the series and give some numerical examples.
“…Recent developments related to Mittag-Leffler polynomials and their generalizations are considered in [12,17]. An application of the Mittag-Leffler polynomials to an expansion for the Riemann zeta function is discussed in [15].…”
This article deals with the introduction of truncated exponential-based Mittag-Leffler polynomials and derivation of their properties. The operational correspondence between these polynomials and Mittag-Leffler polynomials is established. An integral representation for these polynomials is also derived.Mathematics Subject Classification. 33E20, 33B10, 33E30, 11T23.
“…Recent developments related to Mittag-Leffler polynomials and their generalizations are considered in [12,17]. An application of the Mittag-Leffler polynomials to an expansion for the Riemann zeta function is discussed in [15].…”
This article deals with the introduction of truncated exponential-based Mittag-Leffler polynomials and derivation of their properties. The operational correspondence between these polynomials and Mittag-Leffler polynomials is established. An integral representation for these polynomials is also derived.Mathematics Subject Classification. 33E20, 33B10, 33E30, 11T23.
We develop two novel approaches to solving for the Laplace transform of a time-changed stochastic process. We discard the standard assumption that the background process (X t ) is Lévy. Maintaining the assumption that the business clock (T t ) and the background process are independent, we develop two different series solutions for the Laplace transform of the time-changed processX t = X(T t ). In fact, our methods apply not only to Laplace transforms, but more generically to expectations of smooth functions of random time. We apply the methods to introduce stochastic time change to the standard class of default intensity models of credit risk, and show that stochastic time-change has a very large effect on the pricing of deep out-of-the-money options on credit default swaps.JEL Codes: G12, G13
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