Higher Order Log-Concavity in Euler's Difference Table
William Y.C. Chen, Cindy C.Y. Gu, Kevin J. Ma, Larry X.W. Wang

TL;DR
This paper investigates the higher order log-concavity properties of a permutation-related array derived from Euler's difference table, revealing new concavity characteristics in combinatorial sequences.
Contribution
It establishes that the array formed by scaled entries of Euler's difference table exhibits 2-log-concavity and reverse ultra log-concavity for all n, a novel insight into their combinatorial structure.
Findings
The sequence is 2-log-concave for all n.
The sequence is reverse ultra log-concave for all n.
Provides new combinatorial properties of Euler's difference table entries.
Abstract
Let be the entries in the classical Euler's difference table. We consider the array for , where can be interpreted as the number of k-fixed-points-permutations of [n]. We show that the sequence is 2-log-concave and reverse ultra log-concave for any given n.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Combinatorial Mathematics · graph theory and CDMA systems · Advanced Mathematical Identities
Higher Order Log-Concavity in Euler’s Difference Table
William Y.C. Chen1, Cindy C.Y. Gu2, Kevin J. Ma3 and Larry X.W. Wang4
Center for Combinatorics, LPMC-TJKLC
Nankai University, Tianjin 300071, P. R. China
1 [email protected], 2 [email protected],
3 majun@cfc nankai.edu.cn, 4 [email protected]
Abstract. Let be the entries in the classical Euler’s difference table. We consider the array for , where can be interpreted as the number of -fixed-points-permutations of . We show that the sequence is -log-concave and reverse ultra log-concave for any given .
Keywords: log-concavity, 2-log-concavity, reverse ultra log-concavity, Euler’s difference table
Classification: 05A20; 33F10
1 Introduction
Euler introduced the difference table defined by and
[TABLE]
for ; see [5]. The combinatorial interpretation of the numbers was found by Dumont and Randrianarivony [6]. Clarke, Han and Zeng [5] further gave a combinatorial interpretation of the -analogue of Euler’s difference table, and this interpretation has been extended by Faliharimalala and Zeng [8, 9] to the wreath product of the cyclic group with the symmetric group.
It is easily seen from the recurrence (1.1) that divides . Thus we can define the integers . Rakotondrajao [14] has shown that counts the number of -fixed-points-permutations of , where a permutation is called -fixed-points-permutation if there are no fixed points in the last positions and the first elements are in different cycles. Based on this combinatorial interpretation, Rakotondrajao [15] has found bijective proofs for the following two recurrence relations for ,
[TABLE]
Notice that . Recently, Eriksen, Freij and Wästlund [7] have generalized these formulas to fixed point -colored permutations. Employing (1.2) and (1.3), we can easily derive the following recurrence relation for ,
[TABLE]
Using the above recurrence relations (1.2) (1.3) and (1.4), we shall prove that the sequence has higher order log-concave properties. To be more specific, we shall show that this sequence is -log-concave and reverse ultra log-concave for any .
2 -log-concavity
In this section, we shall show that the sequence is -log-concave for any . Recall that a sequence of real numbers is said to be log-concave if for all ; see Stanley [16] and Brenti [2]. From the recurrence relation (1.4), it is easy to prove by induction that the sequence is log-concave.
Theorem 2.1
For , we have
[TABLE]
that is, the sequence is log-concave.
The notion of high order log-concavity was introduced by Moll [13]; see also, [10]. Given a sequence , define the operator as , where
[TABLE]
The log-concavity of becomes the positivity of . If the sequence is not only positive but also log-concave, then we say that is -log-concave. In general, we say that is -log-concave if is positive, and that is infinite log-concave if is positive for any . From numerical evidence, we pose the following conjecture.
Conjecture 2.2
The sequence is infinitely log-concave.
Recently, Brändén [1] and Cardon [3] have independently proved that if a polynomial has only real and nonpositive zeros, then its Taylor coefficients form an infinite log-concave sequence. However, this is not the case of the polynomials . For example, for , the polynomial does not have real roots. Nevertheless, we shall show that the sequence is -log concave in support of the general conjecture.
Theorem 2.3
The sequence is -log-concave. In other words, for and , we have
[TABLE]
The idea to prove Theorem 2.3 may be described as follows. As the first step, we reformulate the left hand side of the above inequality (2.1) a cubic function on by applying the recurrence relations (1.2), (1.3), (1.4) and the recurrence relation presented in the following Lemma 2.4. Then Theorem 2.3 is equivalent to the assertion that on the interval
[TABLE]
since it can be verified that for and ,
[TABLE]
Moreover, when is considered as a continuous function on , we will be able to show that for and
[TABLE]
Hence we deduce that on the interval so that Theorem 2.3 is immediate.
As mentioned above, the following recurrence relation will be needed in the proof of Theorem 2.3.
Lemma 2.4
For , we have
[TABLE]
*Proof. *First, it is easy to establish the following recurrence relation for ,
[TABLE]
[TABLE]
as claimed. By (1.4), (2.4), for , we find
[TABLE]
Consequently,
[TABLE]
as desired.
In order to prove (2.2), we first give a lower bound for .
Lemma 2.5
For and , we have
[TABLE]
*Proof. *We proceed by induction on . It is clear that (2.5) holds for and . We now assume that (2.5) holds for positive integers less than . By the recurrence (1.2), we have
[TABLE]
Thus (2.5) can be recast as
[TABLE]
So it suffices to check that
[TABLE]
Since , by the inductive hypothesis, we have
[TABLE]
as required.
Next we give an upper bound for .
Lemma 2.6
For and , we have
[TABLE]
*Proof. *It follows from the recurrence (1.2) that
[TABLE]
Thus (2.6) can be rewritten as
[TABLE]
that is,
[TABLE]
By recurrence (1.3) for , we see that
[TABLE]
which implies (2.7). This completes the proof.
We are now ready to give the proof of Theorem 2.3.
Proof. It is easy to check that that the theorem holds for and . So we may assume that .
We claim that the left hand side of (2.1) can be expressed as a cubic function on . By the recurrences (1.2), (1.3), (1.4) and (2.3), we can derive the following relations,
[TABLE]
It follows that (2.1) can be rewritten as
[TABLE]
where
[TABLE]
Since are positive integers, it suffices to show that
[TABLE]
We now consider the function
[TABLE]
with
[TABLE]
We are going to show that , for . As will be seen, the quadratic function has a zero in the interval and a zero in the interval . At the point , we have
[TABLE]
Since for and , we find
[TABLE]
This yields that . Similarly, for , we obtain that
[TABLE]
Moreover, for , we have
[TABLE]
To prove , it is sufficient to show that for ,
[TABLE]
We have two cases for the ranges of . For , we have
[TABLE]
Meanwhile, for ,
[TABLE]
Thus is valid for . Then we reach the conclusion that has a zero in the interval and a zero in the interval.
We continue to demonstrate that in the interval . By Lemma 2.5, for we have
[TABLE]
which means that has no zero on the interval . Since , it is easily seen that
[TABLE]
Since , we see that in the interval , as expected. In other words, is strictly decreasing on this interval.
Up to now, we have shown that is strictly decreasing on the interval . So it remains to prove that
[TABLE]
Since
[TABLE]
where
[TABLE]
Clearly, the proof will be complete as long as we can show that for and .
Regard as a continuous function on , that is,
[TABLE]
Since the leading coefficient of is negative, we only need to prove that and . For , we have
[TABLE]
and
[TABLE]
In summary, we have confirmed that for and . This completes the proof.
3 The reverse ultra log-concavity
This section is concerned with the reverse ultra log-concavity of . Recall that sequence is called ultra log-concave if \left\{a_{k}\big{/}{n\choose k}\right\} is log-concave; see Liggett [12]. This condition can be restated as
[TABLE]
It is well known that if a polynomial has only real zeros, then its coefficients form an ultra log-concave sequence. As noticed by Liggett [12], if a sequence is ultra log-concave, then the sequence is log-concave.
In comparison with ultra log-concavity, a sequence is said to be reverse ultra log-concave if it satisfies the reverse relation of (3.1), that is,
[TABLE]
Chen and Gu [4] have shown the Boros-Moll polynomials have this reverse ultra log-concave property. We shall show that the sequence also possesses this property.
Theorem 3.1
For , we have
[TABLE]
or equivalently,
[TABLE]
*Proof. *According to the recurrence relations (1.4) and (2.3), we find that (3.3) can be reformulated as
[TABLE]
The discriminant of the quadratic polynomial of the left side of (3.4) in equals
[TABLE]
We claim that for . Put
[TABLE]
Since , we have
[TABLE]
which implies that is monotone decreasing for . Furthermore,
[TABLE]
Thus, for . Consequently, the quadratic function has two distinct real zeros. If we can show that for , is larger than the maximal zero, then (3.4) holds since . Thus we still have to show that
[TABLE]
In view of (2.5), we see that (3.5) can be deduced from the following inequality
[TABLE]
which is equivalent to
[TABLE]
Since both sides are positive, we can transform the above relation into the following form
[TABLE]
Evidently,
[TABLE]
for . This completes the proof.
Acknowledgments. This work was supported by the 973 Project, the PCSIRT Project of the Ministry of Education, and the National Science Foundation of China.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] P. Brändén, Iterated sequences and the geometry of zeros, ar Xiv:math.CO/0909.1927.
- 2[2] F. Brenti, Unimodal, log-concave, and P o ´ ´ o \mathrm{\acute{o}} lya frequency sequences in combinatorics, Mem. Amer. Math. Soc., 413 (1989), 1–106.
- 3[3] D. Cardon, in preparation.
- 4[4] W.Y.C. Chen and C.C.Y. Gu, The reverse ultra log-concavity of the Boros-Moll polynomials, Proc. Amer. Math. Soc., 137 (2009), 3991–3998.
- 5[5] R.J. Clarke, G.N. Han and J. Zeng, A combinatorial interpretation of the Seidel generation of q 𝑞 q -derangement numbers, Ann. Combin., 1 (1997), 313–327.
- 6[6] D. Dumont and A. Randrianarivony, Dérangements et ombres de Genocchi, Discrete Math., 132 (1994), 275–301.
- 7[7] N. Eriksen, R. Freij and J. Wästlund, Enumeration of derangements with descents in prescribed positions, Electron. J. Combin., 16 (2009), #R 32.
- 8[8] H.L.M. Faliharimalala and J. Zeng, Derangements and Euler’s difference table for C ℓ ≀ S n ≀ subscript 𝐶 ℓ subscript 𝑆 𝑛 C_{\ell}\wr S_{n} , Electron. J. Combin., 15 (2008), #R 65.
