Real-rootedness of variations of Eulerian polynomials
James Haglund, Philip B. Zhang

TL;DR
This paper proves the real-rootedness of generalized Eulerian polynomials related to $ extbf{s}$-inversion sequences, confirming conjectures and revealing geometric interpretations, thus advancing understanding of their algebraic and combinatorial properties.
Contribution
It generalizes Eulerian polynomials to $ extbf{s}$-inversion sequences and proves their real-rootedness using interlacing polynomials, confirming conjectures and connecting to geometric structures.
Findings
Proved real-rootedness of generalized Eulerian polynomials.
Confirmed conjecture on binomial Eulerian polynomials.
Established geometric interpretation via edgewise subdivisions.
Abstract
The binomial Eulerian polynomials, introduced by Postnikov, Reiner, and Williams, are -positive polynomials and can be interpreted as -polynomials of certain flag simplicial polytopes. Recently, Athanasiadis studied analogs of these polynomials for colored permutations. In this paper, we generalize them to -inversion sequences and prove that these new polynomials have only real roots by the method of interlacing polynomials. Three applications of this result are presented. The first one is to prove the real-rootedness of binomial Eulerian polynomials, which confirms a conjecture of Ma, Ma, and Yeh. The second one is to prove that the symmetric decomposition of binomial Eulerian polynomials for colored permutations is real-rooted. Thirdly, our polynomials for certain -inversion sequences are shown to admit a similar geometric interpretation related to…
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Real-rootedness of variations of Eulerian polynomials
James Haglunda and Philip B. Zhangb
aDepartment of Mathematics
University of Pennsylvania, Philadelphia, PA 19104-6395, USA
bCollege of Mathematical Science
Tianjin Normal University, Tianjin 300387, China
Email: a[email protected], b[email protected]
Abstract. The binomial Eulerian polynomials, introduced by Postnikov, Reiner, and Williams, are -positive polynomials and can be interpreted as -polynomials of certain flag simplicial polytopes. Recently, Athanasiadis studied analogs of these polynomials for colored permutations. In this paper, we generalize them to -inversion sequences and prove that these new polynomials have only real roots by the method of interlacing polynomials. Three applications of this result are presented. The first one is to prove the real-rootedness of binomial Eulerian polynomials, which confirms a conjecture of Ma, Ma, and Yeh. The second one is to prove that the symmetric decomposition of binomial Eulerian polynomials for colored permutations is real-rooted. Thirdly, our polynomials for certain -inversion sequences are shown to admit a similar geometric interpretation related to edgewise subdivisions of simplexes.
AMS Classification 2010: 05A15, 26C10, 52B05.
Keywords: real-rootedness, interlacing, binomial Eulerian polynomials, colored permutations, -polynomials, edgewise subdivisions.
1 Introduction
The original motivation of this paper is to study the real-rootedness of binomial Eulerian polynomials. For any positive integer , let be the set . Denote by the set of permutations of . Given a permutation , the descent number of is the number of satisfying and the excedance number of is the number of such that . Recall that is a derangement if for all , and denote by the set of derangements in . The polynomials
[TABLE]
are known as the Eulerian polynomial and derangement polynomial, respectively. A common interesting property of these two polynomials is the -positivity. Recall that a polynomial with nonnegative integer coefficients is said to be -positive, if it admits an expansion of the form
[TABLE]
where are nonnegative integers. Gamma-positivity directly implies palindromicity and unimodality and appears widely in combinatorial and geometric contexts, see [4] for a survey. The following variation of Eulerian polynomials
[TABLE]
first studied by Postnikov, Reiner, and Williams [24, Section 10.4], are also -positive and have attracted a lot of interest recently [26, 23, 5, 22]. Shareshian and Wachs [26] called them binomial Eulerian polynomials and further studied a symmetric function generalization of them, which are shown to be equivariant -positive. Another common property of and is that they both have only real roots, proved by Frobenius [15] and Zhang [34], respectively. It is natural to ask whether is real-rooted as well, which was conjectured by Ma, Ma, and Yeh [23] based on empirical evidence.
Eulerian polynomials and derangement polynomials can be generalized to -inversion sequences. Given a sequence of positive integers , define the set of -inversion sequences of length by
[TABLE]
with the assumption that and . Following [16, 17], an index of an inversion sequence is said to be an ascent if , a collision if , and a descent if , and denote by , , and the number of ascents, collisions, and descents in , respectively. Let be the subset of consisting of with . The -Eulerian polynomial and -derangement polynomial are defined as
[TABLE]
respectively. The real-rootedness of and was proved by Savage and Vistonai [25], and Gustafsson and Solus [17], respectively. Both proofs are via the method of interlacing polynomials, which has also been widely used to prove the real-rootedness of several polynomials arising in combinatorics ([18, 31, 32, 21, 27]).
In this paper, we generalize the notion of binomial Eulerian polynomials to -inversion sequences as follows:
[TABLE]
The main objective of this paper is to prove the real-rootedness of . To this end, let us first recall some notion about interlacing polynomials. Given two real-rooted polynomials and with positive leading coefficients, let and be the set of zeros of and , respectively. Recall that interlaces , denoted , if either and
[TABLE]
or and
[TABLE]
For convention, we let and for any real-rooted polynomial . Following Brändén [8], a sequence of real polynomials with positive leading coefficients is said to be interlacing if for all . In this paper, we consider a refinement of , similar to those of and . For and , define the set by
[TABLE]
with the assumption that and . Let be if is a true statement and [math] otherwise. Now we define the refined polynomials as
[TABLE]
where . Note that when , . It is clear that
[TABLE]
In this paper, we shall prove the following theorem by the method of interlacing polynomials.
Theorem 1.1**.**
Let be a sequence of positive integers. Then for any the sequence is interlacing and therefore the polynomial has only real roots.
The rest of this paper is organized as follows. Section 2 is dedicated to the proof of Theorem 1.1. To prove it, we investigate a new kind of interlacing-preserving matrices with entries , , and . Then three applications are presented in Section 3. The first one is the real-rootedness of , which confirms Ma, Ma, and Yeh’s conjecture. Another application is the real-rootedness of and , the sum of which form the binomial Eulerian polynomials for colored permutations , defined by Athanasiadis [5] recently. The polynomials and can be interpreted as -polynomials of boundary complexes of certain simplicial polytopes, see [5, 24]. In our third application, the polynomials for certain -inversion sequences are shown to be such -polynomials, which are related to the edgewise subdivisions of simplexes. An alternative approach to the real-rootedness of these polynomials are also presented.
2 Interlacing
In this section, we shall prove Theorem 1.1. In order to prove the interlacing property of a family of polynomials, it is desirable to prove that the polynomials of interest satisfy a recursion that produces a new interlacing sequence from an old one.
Lemma 2.1**.**
Let . For and , let . The sequence satisfies the following recurrence relation
[TABLE]
with the initial conditions
[TABLE]
Proof.
The initial conditions are easy to check. The recursion (2) holds, since if with then
- •
is a ascent in if and only if , equivalently, .
- •
is a collision in if and only if , equivalently, s_{m}\big{|}\,ks_{m-1}.
This completes the proof. ∎
As usual, it is more convenient to express such recursions via matrix multiplications:
[TABLE]
where is a matrix of polynomials. A characterization of such matrices was due to Brändén [8].
Lemma 2.2** ([8, Theorem 8.5]).**
Let be the set of interlacing sequences such that all the coefficients of are nonnegative for all . Suppose that is a matrix of polynomials. Then if and only if
- (1)
* has nonnegative coefficients for all and , and* 2. (2)
for all , and ,
[TABLE]
We also need the following lemma.
Lemma 2.3** ([7, Lemma 2.6]).**
Let , , and be real-rooted polynomials with nonnegative coefficients.
- •
If and , then .
- •
If and , then .
In this section, we shall prove that the following recursion preserves interlacing, which generalizes [27, Lemma 4.4].
Theorem 2.4**.**
Suppose that is a polynomial sequence with nonnegative coefficients. Define another polynomial sequence by
[TABLE]
where is or and . Also, if for some , then and can not happen at the same time. If the sequence is interlacing, then so is .
Proof.
Define a matrix as
[TABLE]
Then clearly has nonnegative coefficients for any and . As shown by Brändén [8, Corollary 8.7], every submatrices of with entries and only satisfies (4). Hence, it suffices to consider the cases for all the possible submatrices of where the entry appears. Instead of directly checking (4), we shall prove these submatrices preserve interlacing, which by Lemma 2.2 is equivalent to (4) for the submatrices of polynomials with nonnegative coefficients.
We first prove the matrix \left(\begin{array}[]{cccc}1+z&1\\[3.0pt] z&1+z\end{array}\right) preserves interlacing. Assume that and are two real-rooted polynomials with nonnegative coefficients satisfying . Then, and and hence by Lemma 2.3. Similarly, . Therefore, it follows from Lemma 2.3 that .
We next consider the remaining cases in a unified approach. These matrices can be written as
[TABLE]
All the matrices on the right hand side preserve interlacing, which has already been checked in [21, 33]. So do the matrices on the left hand side. This completes the proof by Lemma 2.2. ∎
We note that an interlacing-preserving matrix has no submatrices of the form
[TABLE]
Indeed, two counterexamples are given below:
[TABLE]
Theorem 2.4 allows us to prove Theorem 1.1.
Proof of Theorem 1.1.
We shall prove the first part of this theorem by induction on . For , the initial conditions imply that the polynomial sequence
[TABLE]
is interlacing. Since the recurrence relation (2) satisfies the condition of Theorem 2.4, by induction on , we obtain that the polynomial sequence is interlacing for all . This proves the first part of Theorem 1.1.
We proceed to prove the second part. By the above paragraph, we know the polynomial sequence is interlacing. Hence, for all . Therefore, the polynomial
[TABLE]
is a real-rooted polynomial. This completes the proof of Theorem 1.1. ∎
3 Applications
In this section, we shall show that Theorem 1.1 contains several real-rootedness results as special cases, which appear to be new. All these results parallel applications of -Eulerian polynomials and -derangement polynomials in [25, 17].
3.1 Binomial Eulerian polynomials for permutations
In this subsection, we shall prove the real-rootedness of .
Theorem 3.1**.**
For any positive integer the binomial Eulerian polynomial has only real roots.
Proof.
Athanasiadis [5, (32)] showed that
[TABLE]
Hence, it follows that
[TABLE]
where is the number of fixed points in , namely, . Following the bijection given by Steingrimsson [30, Appendix], one can see that
[TABLE]
where is the number of ’s such that for all and with the assumption .
For a permutation and , we let denote the number of inversions of at . Clearly, . The sequence is called the Lehmer code of . Define a map
[TABLE]
by letting
[TABLE]
It is known that is a bijection and . We note that . This is because if for then it must be that , which implies that is bad, and vice versa. Besides, is equivalent to saying that equals and hence is bad. Therefore, is a special case of the polynomial when . This completes the proof. ∎
We remark that the real-rootedness of , , and can be proved in a unified approach. For , we define a sequence of polynomials as follows:
[TABLE]
where is if and otherwise. One can see that these polynomials satisfy the following recurrence relation:
[TABLE]
with the initial condition . Hence, we know that the polynomial sequence is interlacing, and therefore corresponding to , , and for , respectively, has only real roots.
3.2 Binomial Eulerian polynomials for colored permutations
For nonnegative integers and , let . For positive integers and , an -colored permutation, introduced by Steingrímsson [29, 30], is a pair , where and , usually denoted as . Denote by the set of -colored permutations. An index is said to be a descent in if either or and , with the assumption that and . An index is said to be an excedance of if either or and . Denote by and the number of descents and excedances in , respectively. A colored permutation is called a derangement if it has no fixed points of color [math], and denote by the subset consisting of derangements in . The colored permutation analogues of the Eulerian polynomials and derangement polynomials are defined as follows:
[TABLE]
respectively. The real-rootedness of the colored Eulerian polynomials was proved by Steingrímsson [29, 30]. The real-rootedness of derangement polynomials of type was proved by Chen, Tang, and Zhao [12], and by Chow [13], independently. Athanasiadis [2] showed that can be expressed as
[TABLE]
where and are -positive polynomials with centers of symmetry and , respectively. Such a decomposition is called the symmetric decomposition of polynomials by Bränd én and Solus [9]. Recently, Gustafsson and Solus [17] proved that both and have only real roots, and Brändén and Solus [9] further proved that .
Recently, Athanasiadis [5] introduced a generalization of to the wreath product group and further studied their symmetric function generalizations. The polynomial is defined by the formula
[TABLE]
Athanasiadis [5] also studied the symmetric decomposition of as
[TABLE]
where and are two -positive polynomials which can be defined by
[TABLE]
In this subsection, we shall prove the real-rootedness of this symmetric decomposition.
Theorem 3.2**.**
For positive integers with we have that and hence has only real roots.
In order to prove Theorem 3.2, we first give a combinatorial explanation for and . Denote by and the set of colored permutations with the last coordinate of zero color and nonzero color, respectively. Following [17], given a colored permutation , an element is said to be bad with respect to if for it holds that
for every , 2. 2.
for every , and 3. 3.
and have the same color,
with the convention and . Let be the set of bad elements in and denote A combinatorial interpretation of and is stated as follows.
Lemma 3.3**.**
For positive integers and , we have that
[TABLE]
Proof.
Our proof is closely related to that of [17, Theorem 4.6]. It is known that the symmetric decomposition of a given polynomial is uniquely determined. From the proof of [17, Theorem 4.6] and [16, Lemma 4.3.9], we obtain that
[TABLE]
In order to prove this lemma, we proceed to describe a way to construct all the colored permutations from permutations with . The construction is as follows, which is similar to that in the proof of [17, Theorem 4.6].
Take an element with and choose a subset of with cardinality . 2. 2.
Replace each element with the th smallest element of . 3. 3.
We will now insert the elements in into the permutation obtained in the previous step, in such a way which make them bad. Pick each element in the relative order from the smallest to the largest. If , insert at the front of and give it color [math]. Otherwise, find the rightmost element such that and for every . Give the same color as and insert it right after .
Such a construction does not affect the descent number and makes the set correspond to the set of bad elements . Hence, the desired combinatorial identities of and follow immediately from their formal definitions in (8) and (9), which completes the proof. ∎
As we now describe, the statistics on are related to statistics on -inversion sequences with .
Lemma 3.4**.**
For positive integers and , we have that
[TABLE]
where . In particular, .
Proof.
Let . We define where
[TABLE]
The inverse mapping is given by
[TABLE]
where is the permutation with inversion sequence
[TABLE]
and for each . Note that and hence we have that
[TABLE]
and
[TABLE]
It is clear to see that . We shall prove that . For convenience, we let . For , if then it must be that and , which implies that is bad. The converse statement is true as well. Hence we get that
[TABLE]
Let be the involution defined by It was shown in [17, Theorem 3.1] that and . Since for any , it follows that and thus Therefore, we get that
[TABLE]
This completes the proof. ∎
Now we are in the position to prove Theorem 3.2.
Proof of Theorem 3.2.
Let . By Theorem 1.1, the sequence is interlacing. By Lemma 2.3, we get that
[TABLE]
Since , the real-rootedness of follows immediately. This completes the proof. ∎
3.3 The Edgewise Subdivision
Athanasiadis [1] considered a triangulation of a sphere from a triangulation of a simplex. Let be an -element set and let be a triangulation of the simplex . Define to a new -element set. Denote by the sets of the form , where is a face of the simplex for some and is a face of the restriction of to the face of the simplex . Athanasiadis [1, 5] showed that the -polynomial of satisfies
[TABLE]
and
[TABLE]
where is the local -polynomial introduced by Stanley [28]. It is natural to ask how -polynomials relate as for certain integer sequences. In this subsection, we provide a new class of such -polynomials when the are edgewise subdivisions of simplexes.
The edgewise subdivision is a well-studied subdivision of a simplicial complex that arises in a variety of mathematical contexts, see [6, 10, 11, 14, 19, 20]. One of its properties is that its faces are divided into faces of the same dimension. Athanasiadis [2, 3] showed that
[TABLE]
where is a linear operator defined on polynomials by setting , if divides , and otherwise.
Lemma 3.5**.**
For positive integers and ,
[TABLE]
Proof.
It is known that [3], for any simplicial complex , the -fold edgewise subdivision restricts to for every . Hence, it follows that
[TABLE]
Athanasiadis [3] also proved that the local -polynomial of the th edgewise subdivision of a simplex is
[TABLE]
Therefore, we have that
[TABLE]
This completes the proof. ∎
Let denote the set of words where for all , with the assumption . Given a word , an index is said to be an ascent if , and a collision if , and we let and denote the number of ascents and collisions in , respectively. Let denote the subset of words in with no collisions. The words in are called Smirnov words, see [4].
Theorem 3.6**.**
For a positive integer and , we have
[TABLE]
Moreover, this polynomial has only real roots.
Proof.
It is not hard to see that
[TABLE]
Since it is known [3] that
[TABLE]
the identity (13) follows from (12).
Let . From the definition of and that of , we know that
[TABLE]
Thus, their real-rootedness follows immediately from Theorem 3.1. ∎
Before ending this subsection, we shall present an alternative way to prove the real-rootedness of . Given a polynomial , there exist uniquely determined polynomials , , such that
[TABLE]
The alternative proof is based on (11) and the following lemma.
Lemma 3.7**.**
Let be a positive integer. Suppose that and are two polynomial with nonnegative coefficients satisfying
[TABLE]
If the sequence is interlacing, then so is \big{(}g^{\langle r,r-1\rangle}(z), \ldots,g^{\langle r,1\rangle}(z),g^{\langle r,0\rangle}(z)\big{)}.
Proof.
The identity (14) can be expressed in a matrix form as follows:
[TABLE]
By Theorem 2.4, we get the desired result. This completes the proof. ∎
Note that the transforming matrix in (27) also appears in [27, Lemma 4.4]. By iteratively using the above theorem, we obtain the following result.
Corollary 3.8**.**
Let be a positive integer. Suppose that
[TABLE]
Then the polynomial sequence is interlacing. In particular, has only real roots.
Acknowledgments
This work was done during Philip Zhang’s visit to the University of Pennsylvania. The authors would like to thank Petter Brändén, Zhicong Lin, and Vasu Tewari for their helpful discussions. James Haglund is supported by NSF Grant DMS-1600670. Philip Zhang is supported by the National Science Foundation of China (No. 11701424).
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