A Selected Survey of Umbral Calculus ∗
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Asymptotic Properties of Biorthogonal Polynomials Systems Related to Hermite and Laguerre Polynomials
Asymptotic properties of biorthogonal polynomials systems related to Hermite and Laguerre polynomials Yan Xu School of Mathematics and Quantitative Economics, Center for Econometric analysis and Forecasting, Dongbei University of Finance and Economics, Liaoning, 116025, PR China Abstract In this paper, the structures to a family of biorthogonal polynomials that ap- proximate to the Hermite and Generalized Laguerre polynomials are discussed respectively. Therefore, the asymptotic relation between several orthogonal polynomials and combinatorial polynomials are derived from the systems, which in turn verify the Askey scheme of hypergeometric orthogonal polynomials. As the applications of these properties, the asymptotic representations of the gen- eralized Buchholz, Laguerre, Ultraspherical (Gegenbauer), Bernoulli, Euler, Meixner and Meixner-Pllaczekare polynomials are derived from the theorems di- rectly. The relationship between Bernoulli and Euler polynomials are shown as a special case of the characterization theorem of the Appell sequence generated by α scaling functions. Keywords: Hermite Polynomial, Laguerre Polynomial, Appell sequence, Askey Scheme, B-splines, Bernoulli Polynomial, Euler polynomials. 2010 MSC: 42C05, 33C45, 41A15, 11B68 arXiv:1503.05387v1 [math.CA] 3 Feb 2015 ✩This work is supported by the Natural Science Foundation of China (11301060), China Postdoctoral Science Foundation (2013M541234, 2014T70258) and Outstanding Scientific In- novation Talents Program of DUFE (DUFE2014R20). ∗Email: yan [email protected] Preprint submitted to Constructive Approximation June 2, 2021 1. Introduction The Hermite polynomials follow from the generating function 2 xz z ∞ Hm(x) m e − 2 = z , z C, x R (1.1) m! ∈ ∈ m=0 X which gives the Cauchy-type integral 2 m! xz z (m+1) H (x)= e − 2 z− dz. -
Relationship of Bell's Polynomial Matrix and K-Fibonacci Matrix
American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS) ISSN (Print) 2313-4410, ISSN (Online) 2313-4402 © Global Society of Scientific Research and Researchers http://asrjetsjournal.org/ Relationship of Bell’s Polynomial Matrix and k-Fibonacci Matrix Mawaddaturrohmaha, Sri Gemawatib* a,bDepartment of Mathematics, University of Riau, Pekanbaru 28293, Indonesia aEmail: [email protected] bEmail: [email protected] Abstract The Bell‟s polynomial matrix is expressed as , where each of its entry represents the Bell‟s polynomial number.This Bell‟s polynomial number functions as an information code of the number of ways in which partitions of a set with certain elements are arranged into several non-empty section blocks. Furthermore, thek- Fibonacci matrix is expressed as , where each of its entry represents the k-Fibonacci number, whose first term is 0, the second term is 1 and the next term depends on a positive integer k. This article aims to find a matrix based on the multiplication of the Bell‟s polynomial matrix and the k-Fibonacci matrix. Then from the relationship between the two matrices the matrix is obtained. The matrix is not commutative from the product of the two matrices, so we get matrix Thus, the matrix , so that the Bell‟s polynomial matrix relationship can be expressed as Keywords: Bell‟s Polynomial Number; Bell‟s Polynomial Matrix; k-Fibonacci Number; k-Fibonacci Matrix. 1. Introduction Bell‟s polynomial numbers are studied by mathematicians since the 19th century and are named after their inventor Eric Temple Bell in 1938[5] Bell‟s polynomial numbers are represented by for each n and kelementsof the natural number, starting from 1 and 1 [2, p 135] Bell‟s polynomial numbers can be formed into Bell‟s polynomial matrix so that each entry of Bell‟s polynomial matrix is Bell‟s polynomial number and is represented by [11]. -
Poly-Bernoulli Polynomials Arising from Umbral Calculus
Poly-Bernoulli polynomials arising from umbral calculus by Dae San Kim, Taekyun Kim and Sang-Hun Lee Abstract In this paper, we give some recurrence formula and new and interesting identities for the poly-Bernoulli numbers and polynomials which are derived from umbral calculus. 1 Introduction The classical polylogarithmic function Lis(x) are ∞ xk Li (x)= , s ∈ Z, (see [3, 5]). (1) s ks k X=1 In [5], poly-Bernoulli polynomials are defined by the generating function to be −t ∞ n Li (1 − e ) (k) t k ext = eB (x)t = B(k)(x) , (see [3, 5]), (2) 1 − e−t n n! n=0 X (k) n (k) with the usual convention about replacing B (x) by Bn (x). As is well known, the Bernoulli polynomials of order r are defined by the arXiv:1306.6697v1 [math.NT] 28 Jun 2013 generating function to be t r ∞ tn ext = B(r)(x) , (see [7, 9]). (3) et − 1 n n! n=0 X (r) In the special case, r = 1, Bn (x)= Bn(x) is called the n-th ordinary Bernoulli (r) polynomial. Here we denote higher-order Bernoulli polynomials as Bn to avoid 1 conflict of notations. (k) (k) If x = 0, then Bn (0) = Bn is called the n-th poly-Bernoulli number. From (2), we note that n n n n B(k)(x)= B(k) xl = B(k)xn−l. (4) n l n−l l l l l X=0 X=0 Let F be the set of all formal power series in the variable t over C as follows: ∞ tk F = f(t)= ak ak ∈ C , (5) ( k! ) k=0 X P P∗ and let = C[x] and denote the vector space of all linear functionals on P. -
General Bivariate Appell Polynomials Via Matrix Calculus and Related Interpolation Hints
mathematics Article General Bivariate Appell Polynomials via Matrix Calculus and Related Interpolation Hints Francesco Aldo Costabile, Maria Italia Gualtieri and Anna Napoli * Department of Mathematics and Computer Science, University of Calabria, 87036 Rende (CS), Italy; [email protected] (F.A.C.); [email protected] (M.I.G.) * Correspondence: [email protected] Abstract: An approach to general bivariate Appell polynomials based on matrix calculus is proposed. Known and new basic results are given, such as recurrence relations, determinant forms, differential equations and other properties. Some applications to linear functional and linear interpolation are sketched. New and known examples of bivariate Appell polynomial sequences are given. Keywords: Polynomial sequences; Appell polynomials; bivariate Appell sequence 1. Introduction Appell polynomials have many applications in various disciplines: probability the- ory [1–5], number theory [6], linear recurrence [7], general linear interpolation [8–12], operators approximation theory [13–17]. In [18], P. Appell introduced a class of polynomi- als by the following equivalent conditions: fAngn2IN is an Appell sequence (An being a Citation: Costabile, F.A.; polynomial of degree n) if either Gualtieri, M.I.; Napoli, A. General 8 Bivariate Appell Polynomials via d An(x) > = nA − (x), n ≥ 1, Matrix Calculus and Related > n 1 <> dx Interpolation Hints. Mathematics 2021, A (0) = a , a 6= 0, a 2 IR, n ≥ 0, 9, 964. https://doi.org/ > n n 0 n > 10.3390/math9090964 :> A0(x) = 1, Academic Editor: Clemente Cesarano or ¥ n xt t A(t)e = ∑ An(x) , Received: 13 March 2021 n=0 n! Accepted: 23 April 2021 ¥ tk Published: 25 April 2021 where A(t) = ∑ ak , a0 6= 0, ak 2 IR, k ≥ 0. -
Bell Polynomials and Binomial Type Sequences Miloud Mihoubi
CORE Metadata, citation and similar papers at core.ac.uk Provided by Elsevier - Publisher Connector Discrete Mathematics 308 (2008) 2450–2459 www.elsevier.com/locate/disc Bell polynomials and binomial type sequences Miloud Mihoubi U.S.T.H.B., Faculty of Mathematics, Operational Research, B.P. 32, El-Alia, 16111, Algiers, Algeria Received 3 March 2007; received in revised form 30 April 2007; accepted 10 May 2007 Available online 25 May 2007 Abstract This paper concerns the study of the Bell polynomials and the binomial type sequences. We mainly establish some relations tied to these important concepts. Furthermore, these obtained results are exploited to deduce some interesting relations concerning the Bell polynomials which enable us to obtain some new identities for the Bell polynomials. Our results are illustrated by some comprehensive examples. © 2007 Elsevier B.V. All rights reserved. Keywords: Bell polynomials; Binomial type sequences; Generating function 1. Introduction The Bell polynomials extensively studied by Bell [3] appear as a standard mathematical tool and arise in combina- torial analysis [12]. Moreover, they have been considered as important combinatorial tools [11] and applied in many different frameworks from, we can particularly quote : the evaluation of some integrals and alterning sums [6,10]; the internal relations for the orthogonal invariants of a positive compact operator [5]; the Blissard problem [12, p. 46]; the Newton sum rules for the zeros of polynomials [9]; the recurrence relations for a class of Freud-type polynomials [4] and many others subjects. This large application of the Bell polynomials gives a motivation to develop this mathematical tool. -
On Multivariable Cumulant Polynomial Sequences with Applications E
JOURNAL OF ALGEBRAIC STATISTICS Vol. 7, No. 1, 2016, 72-89 ISSN 1309-3452 { www.jalgstat.com On multivariable cumulant polynomial sequences with applications E. Di Nardo1,∗ 1 Department of Mathematics \G. Peano", Via Carlo Alberto 10, University of Turin, 10123, I-Turin, ITALY Abstract. A new family of polynomials, called cumulant polynomial sequence, and its extension to the multivariate case is introduced relying on a purely symbolic combinatorial method. The coefficients are cumulants, but depending on what is plugged in the indeterminates, moment se- quences can be recovered as well. The main tool is a formal generalization of random sums, when a not necessarily integer-valued multivariate random index is considered. Applications are given within parameter estimations, L´evyprocesses and random matrices and, more generally, problems involving multivariate functions. The connection between exponential models and multivariable Sheffer polynomial sequences offers a different viewpoint in employing the method. Some open problems end the paper. 2000 Mathematics Subject Classifications: 62H05; 60C05; 11B83, 05E40 Key Words and Phrases: multi-index partition, cumulant, generating function, formal power series, L´evyprocess, exponential model 1. Introduction The so-called symbolic moment method has its roots in the classical umbral calculus developed by Rota and his collaborators since 1964; [15]. Rewritten in 1994 (see [17]), what we have called moment symbolic method consists in a calculus on unital number sequences. Its basic device is to represent a sequence f1; a1; a2;:::g with the sequence 2 f1; α; α ;:::g of powers of a symbol α; named umbra. The sequence f1; a1; a2;:::g is said to be umbrally represented by the umbra α: The main tools of the symbolic moment method are [7]: a) a polynomial ring C[A] with A = fα; β; γ; : : :g a set of symbols called umbrae; b) a unital operator E : C[A] ! C; called evaluation, such that i i) E[α ] = ai for non-negative integers i; ∗Corresponding author. -
Degenerate Poly-Bernoulli Polynomials with Umbral Calculus Viewpoint Dae San Kim1,Taekyunkim2*, Hyuck in Kwon2 and Toufik Mansour3
Kim et al. Journal of Inequalities and Applications (2015)2015:228 DOI 10.1186/s13660-015-0748-7 R E S E A R C H Open Access Degenerate poly-Bernoulli polynomials with umbral calculus viewpoint Dae San Kim1,TaekyunKim2*, Hyuck In Kwon2 and Toufik Mansour3 *Correspondence: [email protected] 2Department of Mathematics, Abstract Kwangwoon University, Seoul, 139-701, S. Korea In this paper, we consider the degenerate poly-Bernoulli polynomials. We present Full list of author information is several explicit formulas and recurrence relations for these polynomials. Also, we available at the end of the article establish a connection between our polynomials and several known families of polynomials. MSC: 05A19; 05A40; 11B83 Keywords: degenerate poly-Bernoulli polynomials; umbral calculus 1 Introduction The degenerate Bernoulli polynomials βn(λ, x)(λ =)wereintroducedbyCarlitz[ ]and rediscovered by Ustinov []underthenameKorobov polynomials of the second kind.They are given by the generating function t tn ( + λt)x/λ = β (λ, x) . ( + λt)/λ – n n! n≥ When x =,βn(λ)=βn(λ, ) are called the degenerate Bernoulli numbers (see []). We observe that limλ→ βn(λ, x)=Bn(x), where Bn(x)isthenth ordinary Bernoulli polynomial (see the references). (k) The poly-Bernoulli polynomials PBn (x)aredefinedby Li ( – e–t) tn k ext = PB(k)(x) , et – n n! n≥ n where Li (x)(k ∈ Z)istheclassicalpolylogarithm function given by Li (x)= x (see k k n≥ nk [–]). (k) For = λ ∈ C and k ∈ Z,thedegenerate poly-Bernoulli polynomials Pβn (λ, x)arede- fined by Kim and Kim to be Li ( – e–t) tn k ( + λt)x/λ = Pβ(k)(λ, x) (see []). -
A FAMILY of SEQUENCES of BINOMIAL TYPE 3 and If Jp +1= N Then This Difference Is 0
A FAMILY OF SEQUENCES OF BINOMIAL TYPE WOJCIECH MLOTKOWSKI, ANNA ROMANOWICZ Abstract. For delta operator aD bDp+1 we find the corresponding polynomial se- − 1 2 quence of binomial type and relations with Fuss numbers. In the case D 2 D we show that the corresponding Bessel-Carlitz polynomials are moments of the− convolu- tion semigroup of inverse Gaussian distributions. We also find probability distributions νt, t> 0, for which yn(t) , the Bessel polynomials at t, is the moment sequence. { } 1. Introduction ∞ A sequence wn(t) n=0 of polynomials is said to be of binomial type (see [10]) if deg w (t)= n and{ for} every n 0 and s, t R we have n ≥ ∈ n n (1.1) w (s + t)= w (s)w − (t). n k k n k Xk=0 A linear operator Q of the form c c c (1.2) Q = 1 D + 2 D2 + 3 D3 + ..., 1! 2! 3! acting on the linear space R[x] of polynomials, is called a delta operator if c1 = 0. Here D denotes the derivative operator: D1 := 0 and Dtn := n tn−1 for n 1. We6 will write Q = g(D), where · ≥ c c c (1.3) g(x)= 1 x + 2 x2 + 3 x3 + .... 1! 2! 3! There is one-to-one correspondence between sequences of binomial type and delta ∞ operators, namely if Q is a delta operator then there is unique sequence w (t) of { n }n=0 binomial type satisfying Qw0(t) = 0 and Qwn(t)= n wn−1(t) for n 1. -
The Relation of the D-Orthogonal Polynomials to the Appell Polynomials
View metadata, citation and similar papers at core.ac.uk brought to you byCORE provided by Elsevier - Publisher Connector JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS ELSEVIER Journal of Computational and Applied Mathematics 70 (1996) 279-295 The relation of the d-orthogonal polynomials to the Appell polynomials Khalfa Douak Universitb Pierre et Marie Curie, Laboratoire d'Analyse Numbrique, Tour 55-65, 4 place Jussieu, 75252 Paris Cedex 05, France Received 10 November 1994; revised 28 June 1995 Abstract We are dealing with the concept of d-dimensional orthogonal (abbreviated d-orthogonal) polynomials, that is to say polynomials verifying one standard recurrence relation of order d + 1. Among the d-orthogonal polynomials one singles out the natural generalizations of certain classical orthogonal polynomials. In particular, we are concerned, in the present paper, with the solution of the following problem (P): Find all polynomial sequences which are at the same time Appell polynomials and d-orthogonal. The resulting polynomials are a natural extension of the Hermite polynomials. A sequence of these polynomials is obtained. All the elements of its (d + 1)-order recurrence are explicitly determined. A generating function, a (d + 1)-order differential equation satisfied by each polynomial and a characterization of this sequence through a vectorial functional equation are also given. Among such polynomials one singles out the d-symmetrical ones (Definition 1.7) which are the d-orthogonal polynomials analogous to the Hermite classical ones. When d = 1 (ordinary orthogonality), we meet again the classical orthogonal polynomials of Hermite. Keywords: Appell polynomials; Hermite polynomials; Orthogonal polynomials; Generating functions; Differential equations; Recurrence relations AMS classification: 42C99; 42C05; 33C45 O. -
Some New Identities Involving Sheffer-Appell Polynomial Sequences Via Matrix Approach
SOME NEW IDENTITIES INVOLVING SHEFFER-APPELL POLYNOMIAL SEQUENCES VIA MATRIX APPROACH MOHD SHADAB, FRANCISCO MARCELLAN´ AND SAIMA JABEE∗ Abstract. In this contribution some new identities involving Sheffer-Appell polyno- mial sequences using generalized Pascal functional and Wronskian matrices are de- duced. As a direct application of them, identities involving families of polynomials as Euler, Bernoulli, Miller-Lee and Apostol-Euler polynomials, among others, are given. 1. introduction Sequences of polynomials play an important role in many problems of pure and applied mathematics in the framework of approximation theory, statistics, combinatorics and classical analysis (see, for example, [19, 22{25]). The sequence of Sheffer polynomials constitutes one of the most important family of polynomial sequences. A polynomial sequence fsn(x)gn≥0 is said to be a Sheffer polynomial sequence [6, 9, 24, 27] if its generating function has the following form: 1 X yn A(y)exH(y) = s (x) ; (1.1) n n! n=0 where A(y) = A0 + A1y + ··· ; and 2 H(y) = H1y + H2y + ··· ; with A0 6= 0 and H1 6= 0. Let us recall an alternative definition of the Sheffer polynomial sequences [24, Pg. 17]. P1 yn P1 yn Indeed, let h(y) = n=1 hn n! ; h1 6= 0; and l(y) = n=0 ln n! , l0 6= 0; be, respectively, delta series and invertible series with complex coefficients. Then there exists a unique sequence of Sheffer polynomials fsn(x)gn≥0 satisfying the orthogonality conditions k hl(y)h(y) jsn(x)i = n!δn;k 8 n; k = 0; (1.2) where δn;k is the Kronecker delta. -
Fitting and Graphing Discrete Distributions
Chapter 3 Fitting and graphing discrete distributions {ch:discrete} Discrete data often follow various theoretical probability models. Graphic displays are used to visualize goodness of fit, to diagnose an appropriate model, and determine the impact of individual observations on estimated parameters. Not everything that counts can be counted, and not everything that can be counted counts. Albert Einstein Discrete frequency distributions often involve counts of occurrences of events, such as ac- cident fatalities, incidents of terrorism or suicide, words in passages of text, or blood cells with some characteristic. Often interest is focused on how closely such data follow a particular prob- ability distribution, such as the binomial, Poisson, or geometric distribution, which provide the basis for generating mechanisms that might give rise to the data. Understanding and visualizing such distributions in the simplest case of an unstructured sample provides a building block for generalized linear models (Chapter 9) where they serve as one component. The also provide the basis for a variety of recent extensions of regression models for count data (Chapter ?), allow- ing excess counts of zeros (zero-inflated models), left- or right- truncation often encountered in statistical practice. This chapter describes the well-known discrete frequency distributions: the binomial, Pois- son, negative binomial, geometric, and logarithmic series distributions in the simplest case of an unstructured sample. The chapter begins with simple graphical displays (line graphs and bar charts) to view the distributions of empirical data and theoretical frequencies from a specified discrete distribution. It then describes methods for fitting data to a distribution of a given form and simple, effective graphical methods than can be used to visualize goodness of fit, to diagnose an appropriate model (e.g., does a given data set follow the Poisson or negative binomial?) and determine the impact of individual observations on estimated parameters. -
L-Series and Hurwitz Zeta Functions Associated with the Universal Formal Group
Ann. Scuola Norm. Sup. Pisa Cl. Sci. (5) Vol. IX (2010), 133-144 L-series and Hurwitz zeta functions associated with the universal formal group PIERGIULIO TEMPESTA Abstract. The properties of the universal Bernoulli polynomials are illustrated and a new class of related L-functions is constructed. A generalization of the Riemann-Hurwitz zeta function is also proposed. Mathematics Subject Classification (2010): 11M41 (primary); 55N22 (sec- ondary). 1. Introduction The aim of this article is to establish a connection between the theory of formal groups on one side and a class of generalized Bernoulli polynomials and Dirichlet series on the other side. Some of the results of this paper were announced in the communication [26]. We will prove that the correspondence between the Bernoulli polynomials and the Riemann zeta function can be extended to a larger class of polynomials, by introducing the universal Bernoulli polynomials and the associated Dirichlet series. Also, in the same spirit, generalized Hurwitz zeta functions are defined. Let R be a commutative ring with identity, and R {x1, x2,...} be the ring of formal power series in x1, x2,...with coefficients in R.Werecall that a commuta- tive one-dimensional formal group law over R is a formal power series (x, y) ∈ R {x, y} such that 1) (x, 0) = (0, x) = x 2) ( (x, y) , z) = (x,(y, z)) . When (x, y) = (y, x), the formal group law is said to be commutative. The existence of an inverse formal series ϕ (x) ∈ R {x} such that (x,ϕ(x)) = 0 follows from the previous definition.