Eulerian-Dowling Polynomials as Moments, Using Riordan Arrays
Paul Barry

TL;DR
This paper demonstrates that Eulerian-Dowling polynomials and related polynomials are moments of orthogonal polynomial families, providing continued fractions and Hankel transforms to analyze their properties.
Contribution
It establishes the connection between Eulerian-Dowling polynomials and orthogonal polynomials using Riordan arrays, introducing new moment representations and generating functions.
Findings
Eulerian-Dowling polynomials are moments for orthogonal polynomials.
Continued fraction generating functions are derived for these polynomials.
Hankel transforms of the polynomials are computed.
Abstract
Using the theory of exponential Riordan arrays, we show that the Eulerian-Dowling polynomials are moments for a paramaterized family of orthogonal polynomials. In addition, we show that the related Dowling and the Tanny-Dowling polynomials are also moments for appropriate families of orthogonal polynomials. We provide continued fraction generating functions and Hankel transforms for these polynomials.
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Taxonomy
TopicsAdvanced Combinatorial Mathematics · Mathematical functions and polynomials · Bayesian Methods and Mixture Models
Eulerian-Dowling Polynomials as Moments, Using Riordan Arrays
Paul Barry
School of Science
Waterford Institute of Technology
Ireland
Abstract
Using the theory of exponential Riordan arrays, we show that the Eulerian-Dowling polynomials are moments for a paramaterized family of orthogonal polynomials. In addition, we show that the related Dowling and the Tanny-Dowling polynomials are also moments for appropriate families of orthogonal polynomials. We provide continued fraction generating functions and Hankel transforms for these polynomials.
1 Introduction
The authors Benoumhani [4, 5] and Rahmani [15] have studied families of polynomials associated with the class of geometric lattices introduced by Dowling [9]. These are the Dowling, the Tanny-Dowling, and the Eulerian-Dowling polynomials.
In this note, we show that these polynomials can be studied within the context of exponential Riordan arrays. They then present themselves as moments of families of orthogonal polynomials [10, 6, 20]. We describe the coefficient arrays of the associated orthogonal polynomials in terms of exponential Riordan arrays, and exploiting the link between the tri-diagonal production matrices [7, 8, 14] of the moment matrices and continued fractions [21], we determine the Hankel transforms [11, 12] of these polynomials. The articles [2, 3] use similar techniques to describe the Eulerian polynomials and a special class of generalized Eulerian polynomials as moment sequences.
2 Essentials of exponential Riordan arrays
We briefly summarize the elements of the theory of exponential Riordan arrays [1, 16, 17] that we will require. An exponential Riordan array is defined by two power series
[TABLE]
and
[TABLE]
where , and . (It is possible to relax the conditions and to and , but we do not do this here for simplicity). The matrix with -th element
[TABLE]
is then regarded as a concrete realization of the exponential Riordan array defined by the pair . Here, is the operator that extracts the coefficient of [13]. We often denote this matrix by . Associated with the pair of power series are two other power series,
[TABLE]
and
[TABLE]
where the power series is the compositional inverse or reversion of . Thus we have
[TABLE]
The matrix with bivariate generating function
[TABLE]
is called the production matrix of . (Note that and are also referred to as and in the literature). It is equal to
[TABLE]
where is the matrix with its top row removed. The central fact that we use in this note is the following. If and are of the form
[TABLE]
then the production matrix will be tri-diagonal, corresponding to the family of orthogonal polynomials that satisfy the three-term recurrence
[TABLE]
with and . The inverse matrix is then the coefficient array of these polynomials. Thus if is the general -th element of , we have
[TABLE]
The first column elements of then represent the moments of the family of orthogonal polynomials .
3 Dowling polynomials and Tanny-Dowling polynomials as moments
We define the Whitney numbers and of the first and second kind, respectively, of Dowling lattices, by
[TABLE]
and
[TABLE]
In terms of exponential Riordan arrays, this means that the Whitney numbers of the first kind of the Dowling lattices are the elements of the exponential Riordan array
[TABLE]
Similarly, the Whitney numbers of the second kind are elements of the inverse exponential Riordan array
[TABLE]
Explicitly, we have
[TABLE]
and
[TABLE]
where and are the Stirling numbers of the first and second kind, respectively.
We have
[TABLE]
Now the Stirling numbers of the second kind are the elements of the exponential Riordan array
[TABLE]
Hence we obtain that the Whitney numbers of the second kind are the elements of the exponential Riordan array
[TABLE]
Note that when , we have with corresponding exponential Riordan array the binomial matrix .
Definition 1**.**
The Dowling polyomials are defined by
[TABLE]
Lemma 2**.**
We have
[TABLE]
Proof.
Regarded as an infinite vector, the sequence has generating function given by
[TABLE]
∎
Thus we have
[TABLE]
Proposition 3**.**
The Dowling polynomials form the moments for a family of orthogonal polynomials.
Proof.
The exponential Riordan array
[TABLE]
has a tri-diagonal production matrix with generating function
[TABLE]
Thus the polynomial sequence constitutes the moment sequence for the polynomials that have coefficient array
[TABLE]
The orthogonal polynomials then satisfy the following three term recurrence.
[TABLE]
with and . ∎
Definition 4**.**
The Tanny-Dowling polynomials are defined by
[TABLE]
Proposition 5**.**
The Tanny-Dowling polynomials are the moments for a family of orthogonal polynomials.
Proof.
The Tanny-Dowling polynomials have a generating function given by
[TABLE]
The exponential Riordan array
[TABLE]
has a tri-diagonal production matrix, with bivariate generating function
[TABLE]
This implies that the polynomials are the moment sequence for the family of orthogonal polynomials whose coefficient array is given by
[TABLE]
The corresponding family of orthogonal polynomials satisfies the following three-term recurrence.
[TABLE]
with and . ∎
4 The Eulerian-Dowling polynomials as moments
The Eulerian-Dowling polynomials are defined [15] as follows.
Definition 6**.**
The Eulerian-Dowling polynomials are defined by
[TABLE]
Proposition 7**.**
The Eulerian-Dowling polynomials are the moments for a family of orthogonal polynomials.
Proof.
It is known [15] that the Eulerian-Dowling polynomials have generating function given by
[TABLE]
However, the exponential Riordan array
[TABLE]
has a production matrix with generating function
[TABLE]
that is tri-diagonal. Thus the Eulerian-Dowling polynomials are moments for the orthogonal polynomials that have
[TABLE]
or
[TABLE]
as coefficient array. These polynomials therefore satisfy the following three-term recurrence.
[TABLE]
with , . ∎
5 Continued fractions and Hankel transforms
The Eulerian-Dowling polynomials , as moments, have the following continued fraction expression for their generating function .
[TABLE]
In particular, we obtain that the Hankel transform of the sequence is given by
[TABLE]
In a similar fashion, we see that the Dowling polynomials have a generating function given by
[TABLE]
This implies that the Hankel transform of the Dowling polynomials is given by
[TABLE]
The Tanny-Dowling polynomials have a generating function given by
[TABLE]
Thus the Hankel transform of the sequence is given by
[TABLE]
6 Bivariate geometric polynomials and the Tanny-Dowling polynomials
The geometric polynomials are defined by
[TABLE]
We define the bivariate geometric polynomials by
[TABLE]
We then have the following result.
Proposition 8**.**
The bivariate geometric polynomials are moments for the family of orthogonal polynomials that have coefficient array given by the exponential Riordan array
[TABLE]
We have
[TABLE]
Thus the bivariate geometric polynomials have exponential generating function
[TABLE]
Using the production matrix of the moment array we also find that the bivariate geometric polynomials have a generating function given by the following continued fraction.
[TABLE]
or
[TABLE]
In particular, the Hankel transform of the bivariate geometric polynomials is given by
[TABLE]
Now since
[TABLE]
we obtain the following result.
Corollary 9**.**
The Tanny-Dowling polynomials are given by the binomial transform of the bivariate geometric polynomials . That is,
[TABLE]
We can define a modified version of the bivariate geometric polynomials as follows.
[TABLE]
We can then show the following.
Proposition 10**.**
The modified bivariate geometric polynomials are the moments for the family of orthogonal polynomials which have their coefficient array given by the exponential Riordan array
[TABLE]
We have
[TABLE]
Thus the modified bivariate geometric polynomials have exponential generating function
[TABLE]
Using the production matrix of the moment array we also find that the modified bivariate geometric polynomials have a generating function given by the following continued fraction.
[TABLE]
or
[TABLE]
In particular, these polynomials have a Hankel transform given by
[TABLE]
7 Example sequences
The polynomials that we have studied give rise to many known and interesting integer sequences by taking different values of the variable and the parameter . The following is a small selection of these. We refer to these example sequences by their entry number in the On-Line Encyclopedia of Integer Sequences [18, 19].
Example 11**.**
The Dowling polynomials.
The sequence is the sequence A000110 beginning
[TABLE]
These are the once shifted Bell numbers.
The sequence is the sequence A007405 of the Dowling numbers
[TABLE]
The sequence is the sequence A035009 which is the Stirling transform of the binomial transform of the natural numbers. This sequence begins
[TABLE]
Example 12**.**
The Tanny-Dowling polynomials.
The sequence is the sequence A000522 that counts the total number of arrangements of a set of elements. This sequence begins
[TABLE]
The sequence is the sequence A000629 that counts the number of necklaces of partitions of labeled beads. This sequence begins
[TABLE]
The sequence is A010844, which counts the number of ways to sort a spreadsheet with columns. This sequence begins
[TABLE]
The sequence is A004123, which counts the number of generalized weak orders on points. This sequence begins
[TABLE]
Example 13**.**
The Eulerian-Dowling polynomials
The sequence is the sequence A000522 that counts the total number of arrangements of a set with elements.
The sequence is the sequence A119880 with e.g.f. . This coincides with the values of the Swiss-Knife polynomials (A153641) at . This sequence begins
[TABLE]
The sequence is A123227, or . This sequence begins
[TABLE]
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] P. Barry, Riordan arrays: a primer , Logic Press, Kilcock, 2016.
- 2[2] P. Barry, General Eulerian polynomials as moments using exponential Riordan arrays, J. Integer Seq. , 16 (2013), Article 13.9.6 .
- 3[3] P. Barry, Eulerian polynomials as moments, via exponential Riordan arrays, J. Integer Seq. , 14 (2011), Article 11.9.5 .
- 4[4] M. Benoumhani, On Whitney numbers of Dowling lattices, Discrete Math. , 159 (1996), 13–33.
- 5[5] M. Benoumhani, On some numbers related to Whitney numbers of Dowling lattices, Adv. Appl. Math. , 19 (1997), 106-116.
- 6[6] T. S. Chihara, An Introduction to Orthogonal Polynomials , Gordon and Breach, New York.
- 7[7] E. Deutsch, L. Ferrari, and S. Rinaldi, Production matrices, Adv. in Appl. Math. , 34 (2005), 101–122.
- 8[8] E. Deutsch, L. Ferrari, and S. Rinaldi, Production matrices and Riordan arrays, Ann. Comb. , 13 (2009), 65–85.
