Remarkable relations between the central binomial series, Eulerian polynomials, and poly-Bernoulli numbers
Abstract.
The central binomial series at negative integers are expressed as a linear combination of values of certain two polynomials. We show that one of the polynomials is a special value of the bivariate Eulerian polynomial and the other polynomial is related to the antidiagonal sum of poly-Bernoulli numbers. As an application, we prove Stephan’s observation from 2004.
Key words and phrases:
Central binomial series, Poly-Bernoulli number, Eulerian polynomial2010 Mathematics Subject Classification:
11B68, 05A051. Introduction
The central binomial series is a Dirichlet series defined by
(1.1) |
Borwein, Broadhurst, and Kamnitzer [6] studied special values at positive integers and recovered some remarkable connections. A classical evaluation is . In particular, for Borwein–Broadhurst–Kamnitzer showed that can be written as a -linear combination of multiple zeta values and multiple Clausen and Glaisher values.
On the other hand, Lehmer [15] proved that for , is a -linear combination of and . For example, we have
He considered the general sum
and its derivatives to derive interesting series evaluations. More precisely, Lehmer provided the following explicit formula for the special values at negative integers. Define two sequences of polynomials and by the initial values and the recursion
(1.2) |
Then for , we have
(1.3) |
Consequently,
(1.4) |
The first few polynomials are: , , ; and , , .
In 2004, Stephan [23, A098830] observed that the rational part of (1.4) is nothing but (a third of) a sum of poly-Bernoulli numbers of negative indices. Poly-Bernoulli numbers are a generalization of classical Bernoulli numbers using polylogarithm functions and were introduced by Kaneko [12]. We will give a precise definition in Section 3.
Conjecture 1.1.
[13, stated by Kaneko, Stephan’s conjecture] For any ,
In this article, we connect both polynomials and to known numbers and polynomials. More precisely, we prove Stephan’s conjecture (relating this way to the poly-Bernoulli numbers) using the fact that the polynomial sequence is a generalization of the classical Eulerian polynomials.
2. The polynomials and bivariate Eulerian polynomials
Eulerian polynomials have been studied by Euler himself. Since then they have been studied and became classical. Several extensions, generalizations and applications are known today.
Let denote the set of permutations of . For each , the excedance set is defined as . We set . It is well-known that the Eulerian number counts the number of permutations with . For instance, because there are permutations of with , namely, . A map satisfying is often called an Eulerian statistic. The map is an example of Eulerian statistics. By Foata’s fundamental transformation, it is also known that the number of permutations with excedances is the same as the number of permutations with descents, or equivalently formulated, with ascending runs, (see Bóna’s book [5]).
The Eulerian polynomial is defined by
The generating function of the Eulerian polynomials is given as
For a more detailed history and properties on the Eulerian numbers (polynomials) and Eulerian statistics, the articles [5, 9, 19] are good references.
We recall now a generalization of the Eulerian polynomial introduced by Foata–Schützenberger [9, Chapter IV-3]. Here we define a shifted version. Let denote the number of cycles in the disjoint cycle representation of .
Definition 2.1 (Bivariate Eulerian polynomial).
For any integer , let and define
Example 2.2.
We have .
The generating function of the bivariate Eulerian polynomials is given by
(2.1) |
Savage–Viswanathan [22] derived several identities for the polynomials. Here we recall their recursion formula.
Proposition 2.3.
For ,
with the initial value .
Note that by the definition, we have . Moreover, for , the polynomials are the -Eulerian polynomials originally studied by Riordan [20]. In addition, we have and for any .
The surprising fact is however that the values at , for any positive integer , have also nice combinatorial interpretations. Namely, for a sequence of positive integers, let the -inversion sequence of length be defined as
The ascent statistic on is
with the convention that . Then the -Eulerian polynomials are defined by
For more properties of the -Eulerian polynomials, see also Savage–Visontai [21]. Note that for , the -Eulerian polynomials are the classical Eulerian polynomials, . Savage–Viswanathan [22] showed that for where is a positive integer, it holds
They called the coefficients in this special case the -Eulerian numbers. The -Eulerian numbers play role in the theory of -lecture hall polytopes [22] and enumerate certain statistics in -Stirling permutations [17]. We now show that for , the is the same as the polynomial sequence in Lehmer’s identity.
Theorem 2.4.
The generating function
equals , that is, for any .
Proof.
By translating the recursion in (1.2), the generating function is characterized by the differential equation
and the initial condition . We can check that the function
satisfies these conditions by a direct calculation. ∎
The generating function tells us that the coefficients of count perfect matchings with the restriction on the number of matching pairs have odd smaller entries (see [16] and [23, A185411]) and .
The relation between the polynomials and shed light on a proof of Stephan’s conjecture which follows in the next section.
3. The polynomials and a proof of Stephan’s conjecture
In this section, we focus on the polynomial sequence in the expression of Lehmer (1.3). We prove the observation of Stephan who noticed a relation of the sequence with the poly-Bernoulli numbers. Poly-Bernoulli numbers were introduced by Kaneko [12] by the polylogarithm function ( for any integer ) as a generalization of the classical Bernoulli numbers. The poly-Bernoulli numbers are defined by
Poly-Bernoulli numbers have attractive properties. In particular, the values with negative indices enumerate several combinatorial objects, (see for instance, [3, 4, 8, 11] and the references therein).
As one of the most basic properties, Arakawa and Kaneko [1] showed that
holds for any positive integer . Since then, several authors have generalized the formula for the alternating anti-diagonal sum in [14, 18], but not much is known about the anti-diagonal sum in 1.1.
In most of the combinatorial interpretations, the roles of and are separately significant, hence it is not natural to consider the anti-diagonal sum. However, one of the interpretations, where this is natural, is the set of permutations with ascending-to-max property [10]. A permutation is called ascending-to-max, if for any integer ,
-
a.
if and then , and
-
b.
if and , then .
In other words: record a permutation in one-line notation and draw an arrow from value to for each . Then, the permutation has the ascending-to-max property if all the arrows starting from the left of point forward and all the arrows starting from an element to the right of point backward. For instance, has the property, but has not. It follows from the results of Bényi and Hajnal [2] that the number of permutations with the ascending-to-max property is given by the anti-diagonal sum . However, no explicit formula or recursion was known about the sequence .
Our first result is a recursion for the sequence .
Proposition 3.1.
The sequence satisfies the recurrence relation and
(3.1) |
In order to prove this theorem, we need some preparations. Recall that by [1, p.163], we have
(3.2) |
where is the Pochhammer symbol and we put
By a direct calculation, we have
Thus, the desired recursion in (3.1) is equivalent to
(3.3) |
To prove (3.3), we derive a useful equation.
Lemma 3.2.
For any , we have
where we put .
Proof.
By direct calculation, one can verify it. ∎
Proof of Proposition 3.1.
Remark 3.3.
Unfortunately, we could not provide a combinatorial proof for this recurrence, though it would be very interesting to find one using for instance the permutations with the ascending-to-max property.
To relate the sequence to the polynomial sequence , we next derive the generating function for .
Proposition 3.4.
We have
Proof.
From (1.3), we have
By applying (1.3) with again, the left-hand side equals
Thus, Combining with Theorem 2.4, we have
which implies the claim. ∎
We define the sequence as special values of ,
(3.4) |
Using the generating function of , we obtain the recurrence formula that the sequence satisfies.
Proposition 3.5.
The sequence defined in (3.4) satisfies and
Proof.
By Proposition 3.4, the generating function for is given by
(3.5) |
Since this function satisfies the differential equation
the coefficients satisfy the desired recurrence formula. ∎
In conclusion, we have the main theorem.
Theorem 3.6.
1.1 is true, i.e. for any ,
Proof.
Proposition 3.1 and Proposition 3.5 imply the theorem. ∎
In the course of our proof, we obtain two types of generating functions in (3.2) and (3.5) for the sequences . As a corollary, we have an explicit formula for the anti-diagonal sum, (see [3, p.24]).
Corollary 3.7.
Proof.
The result follows from the explicit formula by Borwein–Girgensohn [7] and Theorem 3.6. ∎
As a final remark, we show that the polynomial can also be expressed in terms of bivariate Eulerian polynomials.
Theorem 3.8.
For any , we have
Proof.
Consider
Since
it holds that
Thus, we have
which concludes the proof. ∎
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