Improved lower bound for the number of unimodular zeros of self-reciprocal polynomials with coefficients in a finite set
Tam\'as Erd\'elyi

TL;DR
This paper establishes a new lower bound on the number of unimodular zeros of self-reciprocal polynomials with integer coefficients, significantly improving previous bounds and employing a simplified approach.
Contribution
It provides an improved lower bound for unimodular zeros of self-reciprocal polynomials with integer coefficients, enhancing the exponent from 1/2 to 1 in the bound.
Findings
Lower bound involves triple logarithm of |P(1)|
Improves previous exponent from 1/2 to 1
Uses a simplified method combining recent ideas
Abstract
Let be non-negative integers. In a private communication Brian Conrey asked how fast the number of real zeros of the trigonometric polynomials tends to as a function of . Conrey's question in general does not appear to be easy.Let be the set of all algebraic polynomials of degree at most with each of their coefficients in . For a finite set let . It has been shown recently that if is a finite set and is a sequence of self-reciprocal polynomials with tending to , then the number of zeros of on the unit circle also tends to . In this paper we show that if is a finite set, then every self-reciprocal…
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Improved lower bound for the number of unimodular zeros of self-reciprocal polynomials with coefficients in a finite set
Tamás Erdélyi
Department of Mathematics
Texas A&M University
College Station, Texas 77843
(January 23, 2019)
Abstract
Let be non-negative integers. In a private communication Brian Conrey asked how fast the number of real zeros of the trigonometric polynomials tends to as a function of . Conrey’s question in general does not appear to be easy. Let be the set of all algebraic polynomials of degree at most with each of their coefficients in . For a finite set let . It has been shown recently that if is a finite set and is a sequence of self-reciprocal polynomials with tending to , then the number of zeros of on the unit circle also tends to . In this paper we show that if is a finite set, then every self-reciprocal polynomial has at least
[TABLE]
zeros on the unit circle of with a constant depending only on and . Our new result improves the exponent in a recent result by Julian Sahasrabudhe to . Sahasrabudhe’s new idea [66] is combined with the approach used in [34] offering an essencially simplified way to achieve our improvement. We note that in both Sahasrabudhe’s paper and our paper the assumption that the finite set contains only integers is deeply exploited.
††2010 Mathematics Subject Classification: 11C08, 41A17, 26C10, 30C15.††Key words and phrases: self-reciprocal polynomials, trigonometric polynomials, restricted coefficients, number of zeros on the unit circle, number of real zeros in a period, Conrey’s question
1 Introduction and Notation.
Research on the distribution of the zeros of algebraic polynomials has a long and rich history. In fact, most of the papers [1]–[74] in our list of references are just some of the papers devoted to this topic. The study of the number of real zeros of trigonometric polynomials and the number of unimodular zeros (that is, zeros lying on the unit circle of the complex plane) of algebraic polynomials with various constraints on their coefficients is the subject of quite a few of these. We do not try to survey these in our introduction.
Let . Let be the set of all algebraic polynomials of degree at most with each of their coefficients in . A polynomial of the form
[TABLE]
is called conjugate-reciprocal if
[TABLE]
A polynomial of the form (1.1) is called plain-reciprocal or self-reciprocal if
[TABLE]
If a conjugate reciprocal polynomial has only real coefficients, then it is obviously plain-reciprocal. We note also that if
[TABLE]
is conjugate-reciprocal, then there are , , such that
[TABLE]
If the polynomial above is plain-reciprocal, then
[TABLE]
In this paper, whenever we write “ is conjugate-reciprocal” we mean that is of the form (1.1) with each satisfying (1.2). Similarly, whenever we write “ is self-reciprocal” we mean that is of the form (1.1) with each satisfying (1.3). This is going to be our understanding even if the degree of is less than . It is easy to see that is self-reciprocal and is odd, then . Associated with an algebraic polynomial of the form (1.1) we introduce the numbers
[TABLE]
Here, and in what follows denotes the number of elements of a finite set . Let denote the number of real zeros (by counting multiplicities) of an algebraic polynomial on the unit circle. Associated with a trigonometric polynomial
[TABLE]
we introduce the numbers
[TABLE]
Let denote the number of real zeros (by counting multiplicities) of a real trigonometric polynomial in a period (of length ). Let denote the number of sign changes of a real trigonometric polynomial in a period (of length ). The quotation below is from [8]. “Let be integers. A cosine polynomial of the form must have at least one real zero in a period. This is obvious if , since then the integral of the sum on a period is [math]. The above statement is less obvious if , but for sufficiently large it follows from Littlewood’s Conjecture simply. Here we mean the Littlewood’s Conjecture proved by Konyagin [45] and independently by McGehee, Pigno, and Smith [55] in 1981. See also pages 285-288 in [19] for a book proof. It is not difficult to prove the statement in general even in the case without using Littlewood’s Conjecture. One possible way is to use the identity
[TABLE]
See [46], for example. Another way is to use Theorem 2 of [56]. So there is certainly no shortage of possible approaches to prove the starting observation of this paper even in the case .
It seems likely that the number of zeros of the above sums in a period must tend to with . In a private communication Conrey asked how fast the number of real zeros of the above sums in a period tends to as a function . In [15] the authors observed that for an odd prime the Fekete polynomial
[TABLE]
(the coefficients are Legendre symbols) has zeros on the unit circle, where . Conrey’s question in general does not appear to be easy.
Littlewood in his 1968 monograph ‘Some Problems in Real and Complex Analysis´ [52] poses the following research problem (problem 22), which appears to still be open: ‘If the are integral and all different, what is the lower bound on the number of real zeros of ? Possibly , or not much less.´ Here real zeros are counted in a period. In fact no progress appears to have been made on this in the last half century. In a recent paper [8] we showed that this is false. There exist cosine polynomials with the integral and all different so that the number of its real zeros in a period is (here the frequencies may vary with ). However, there are reasons to believe that a cosine polynomial always has many zeros in a period.”
Let
[TABLE]
Elements of are often called Littlewood polynomials of degree . Let
[TABLE]
Observe that . In [11] we proved that any polynomial has at least zeros in any open disk centered at a point on the unit circle with radius . Thus polynomials in have quite a few zeros near the unit circle. One may naturally ask how many unimodular roots a polynomial in can have. Mercer [56] proved that if a Littlewood polynomial of the form (1.1) is skew reciprocal, that is, for each , then it has no zeros on the unit circle. However, by using different elementary methods it was observed in both [27] and [56] that if a Littlewood polynomial of the form (1.1) is self-reciprocal, that is, for each , , then it has at least one zero on the unit circle. Mukunda [58] improved this result by showing that every self-reciprocal Littlewood polynomial of odd degree has at least zeros on the unit circle. Drungilas [21] proved that every self-reciprocal Littlewood polynomial of odd degree has at least zeros on the unit circle and every self-reciprocal Littlewood polynomial of even degree has at least zeros on the unit circle. In [4] two types of Littlewood polynomials are considered: Littlewood polynomials with one sign change in the sequence of coefficients and Littlewood polynomials with one negative coefficient, and the numbers of the zeros such Littlewood polynomials have on the unit circle and inside the unit disk, respectively, are investigated. Note that the Littlewood polynomials studied in [4] are very special. In [8] we proved that the average number of zeros of self-reciprocal Littlewood polynomials of degree is at least . However, it is much harder to give decent lower bounds for the quantities
[TABLE]
where denotes the number of zeros of a polynomial lying on the unit circle and the minimum is taken for all self-reciprocal Littlewood polynomials . It has been conjectured for a long time that . In [34] we showed that whenever is self-reciprocal and . This follows as a consequence of a more general result, see Corollary 2.3 in [34], stated as Corollary 1.5 here, in which the coefficients of the self-reciprocal polynomials of degree at most belong to a fixed finite set of real numbers. In [7] we proved the following result.
Theorem 1.1**.**
If the set is finite, the set is infinite, the sequence is not eventually periodic, and
[TABLE]
then
In [7] Theorem 1.1 is stated without the assumption that the sequence is not eventually periodic. However, as the following example shows, Lemma 3.4 in [7], dealing with the case of eventually periodic sequences , is incorrect. Let
[TABLE]
It is easy to see that on and the zeros of at and are simple. Hence has only two (simple) zeros in a period. So the conclusion of Theorem 1.1 above is false for the sequence with , , , , , for every . Nevertheless, Theorem 1.1 can be saved even in the case of eventually periodic sequences if we assume that for all sufficiently large . See Lemma 3.11 in [34] where Theorem 1 in [7] is corrected as
Theorem 1.2**.**
If the set is finite, for all sufficiently large , and
[TABLE]
then
It was expected that the conclusion of the above theorem remains true even if the coefficients of do not come from the same sequence, that is,
[TABLE]
where the set
[TABLE]
is finite and
[TABLE]
Associated with an algebraic polynomial
[TABLE]
let
[TABLE]
In [34] we proved the following results.
Theorem 1.3**.**
If is a finite set, are self-reciprocal polynomials,
[TABLE]
and
[TABLE]
for every , then
[TABLE]
Some of the most important consequences of the above theorem obtained in [34] are stated below.
Corollary 1.4**.**
If is a finite set, are self-reciprocal polynomials, and
[TABLE]
then
[TABLE]
Corollary 1.5**.**
Suppose the finite set has the property that
[TABLE]
that is, any sum of nonzero elements of is different from [math]. If are self-reciprocal polynomials and
[TABLE]
then
[TABLE]
J. Sahasrabudhe [66] examined the case when is finite. Exploiting the assumption that the coefficients are integer he proved that for any finite set a self-reciprocal polynomial has at least
[TABLE]
zeros on the unit circle of with a constant depending only on and .
Let denote the Euler’s totient function defined as the number of integers that are relative prime to . In an earlier version of his paper Sahasrabudhe [66] used the trivial estimate for and he proved his result with the exponent rather than . Using the nontrivial estimate in [65] for all allowed him to prove his result with .
In the papers [7], [34], and [66] the already mentioned Littlewood Conjecture, proved by Konyagin [45] and independently by McGehee, Pigno, and Smith [55], plays a key role, and we rely on it heavily in the proof of the main results of this paper as well. This states the following.
Theorem 1.6**.**
There is an absolute constant such that
[TABLE]
whenever are distinct integers and are complex numbers of modulus at least . Here is a suitable choice.
This is an obvious consequence of the following result a book proof of which has been worked out by Lorentz and DeVore, see pages 285–288 in [19].
Theorem 1.7**.**
If are integers and are complex numbers, then
[TABLE]
Associated with a finite set we will use the notation throughout the paper.
2 New Results.
The goal of this paper is to improve the exponent to in Sahasrabudhe’s lower bound in [66] mentioned in Section 1. Sahasrabudhe’s new idea is combined with the approach used in [34] offering an essencially simplified way to achieve our improvement.
Let, as before, denote the number of real zeros (by counting multiplicities) of a real trigonometric polynomial in a period (of length ). Let denote the number of sign changes of a real trigonometric polynomial in a period (of length ). Obviously .
Theorem 2.1**.**
If is a finite set, , is a self-reciprocal polynomial,
[TABLE]
then
[TABLE]
with an absolute constant , whenever the right-hand side is defined.
Let, as before, denote the number of real zeros (by counting multiplicities) of an algebraic polynomial on the unit circle.
Corollary 2.2**.**
If is a finite set, , is a self-reciprocal polynomial, then
[TABLE]
with an absolute constant , whenever the right-hand side is defined.
This improves the exponent to in a recent breakthrough result [66] by Julian Sahasrabudhe. We note that in both Sahasrabudhe’s paper and this paper the assumption that the finite set contains only integers is deeply exploited. Our next result is an obvious consequence of Corollary 2.2.
Corollary 2.3**.**
If the set is finite, ,
[TABLE]
then
[TABLE]
with an absolute constant , whenever the right-hand side is defined.
3 Lemmas.
Our first four lemmas are quite similar to some of the lemmas used in [34], but some modifications in the formulation of these lemmas and their proofs are needed.
Lemma 3.1**.**
If is a finite set, ,
[TABLE]
[TABLE]
, , and
[TABLE]
then
[TABLE]
for every .
**Proof of Lemma 3.1.
**We define
[TABLE]
so that . As and the set is finite, the set is also finite. By Theorem 1.6 there is an absolute constant such that
[TABLE]
We define
[TABLE]
Combining this with (3.1) we have
[TABLE]
It follows that
[TABLE]
Now (3.2) and (3.3) give
[TABLE]
∎
Lemma 3.2**.**
If is a finite set, is self-reciprocal, , , (3.1) holds,
[TABLE]
, and , then
[TABLE]
**Proof of Lemma 3.2.
**Let
[TABLE]
be self-reciprocal. We have
[TABLE]
Observe that (3.1) implies that
[TABLE]
We have
[TABLE]
Now (3.4) implies that
[TABLE]
where
[TABLE]
with some , , , and , where (we do not know much about and ). Since , it is sufficient to prove that
[TABLE]
that is, it is sufficient to prove that if and
[TABLE]
then
[TABLE]
Note that the equality in (3.5) holds as is odd. To prove the inequality in (3.5) let , where . We break the sum as
[TABLE]
where
[TABLE]
and
[TABLE]
Here
[TABLE]
where each term in the sum in the middle is estimated by
[TABLE]
and the number of terms in the sum in the middle is clearly at most . Further, using Abel rearrangement, we have
[TABLE]
with
[TABLE]
and with some for which and . Hence,
[TABLE]
Note that , , , and imply
[TABLE]
and
[TABLE]
and hence
[TABLE]
Observe also that and imply that . Hence, with we have
[TABLE]
Combining (3.8), (3.9), and (3.10), we conclude
[TABLE]
Now (3.6), (3.7), and (3.11) give the inequality in (3.5) as . ∎
Our next lemma was used in [34] in the same form. To prove it by contradiction is a simple exercise.
Lemma 3.3**.**
If is a continuously differentiable real-valued function on the interval , ,
[TABLE]
then there is an such that has at least distinct zeros in .
Lemma 3.4**.**
If is a finite set, ,
[TABLE]
[TABLE]
* is self-reciprocal, , , and (3.1) holds, that is,*
[TABLE]
then
[TABLE]
**Proof of Lemma 3.4.
**Let . Let be defined by
[TABLE]
Observe that for all , and hence Lemma 3.1 yields that
[TABLE]
while by Lemma 3.2 we have
[TABLE]
Therefore, by Lemma 3.3 there is an such that has at least
[TABLE]
distinct zeros in . However, for all , and hence
[TABLE]
follows by Rolle’s Theorem. ∎
The following lemma, in which the assumption is crucial, is simple to prove. It is stated as Lemma 9 in [66]. Its straightforward proof given in [66] is reduced to the fact that a determinant of integer entries is an integer, and hence if it is not [math], then its modulus is at least .
Lemma 3.5**.**
For let be a invertible matrix with entries from . If with
[TABLE]
then
[TABLE]
where .
For integers we call
[TABLE]
the -tuples of
[TABLE]
The following lemma is Lemma 10 in [66].
Lemma 3.6**.**
For , let be a finite set such that , and let
[TABLE]
Let denote the linear space spanned by the -tuples
[TABLE]
over . If , then there are
[TABLE]
such that
[TABLE]
where
[TABLE]
are periodic with period for each .
Let be a continuous, even, real-valued function on (mod ) which changes sign on exactly at , . We define the companion polynomial of by
[TABLE]
where is chosen so that for all . Observe that
[TABLE]
is a monic self-reciprocal algebraic polynomial of degree with real coefficients and with constant term . Observe that
[TABLE]
Associated with let . It is shown in [65] that holds for all , and this upper bound will be useful for us later in this paper. We remark though that holds and it is equivalent to the Prime Number Theorem, see [73].
Lemma 3.7**.**
Suppose is a finite set, is self-reciprocal, and has exactly sign changes in . Let be the companion polynomial of (so the degree of the monic self-reciprocal algebraic polynomial is ) and let
[TABLE]
where , and let
[TABLE]
If are integers and
[TABLE]
holds with , then
[TABLE]
where denotes the number of elements in the set .
**Proof of Lemma 3.7.
**Let
[TABLE]
and
[TABLE]
Obviously
[TABLE]
and
[TABLE]
Put . Suppose to the contrary that
[TABLE]
Let
[TABLE]
and
[TABLE]
where
[TABLE]
with
[TABLE]
Observe that . Let denote the linear space spanned by the -tuples
[TABLE]
over . Using Lemma 3.5 with , (3.14), (3.16), and the fact that the polynomial of degree is monic, we can deduce that . It follows from (3.15) and (3.17) that
[TABLE]
As , we have . Applying Lemma 3.6 we obtain that
[TABLE]
is periodic with period , that is,
[TABLE]
We claim that
[TABLE]
Indeed, if for some , then (3.19) and (3.20) give
[TABLE]
exhibiting distinct elements of , which is impossible. It follows from (3.13), (3.18), and (3.21) that
[TABLE]
hence, recalling and (3.15), we obtain
[TABLE]
which contradicts (3.17). In conclusion
[TABLE]
∎
Lemma 3.8**.**
Under the assumptions of Lemma 3.7 we have
[TABLE]
**Proof of Lemma 3.8.
**Let , and . Observe that
[TABLE]
is real and nonnegative for all . Combining this with Theorem 1.7 and Lemma 3.7 we obtain
[TABLE]
On the other hand, using orthogonality, (3.18), , and (3.12) we have
[TABLE]
Combining (3.22) and (3.23) we conclude
[TABLE]
and hence
[TABLE]
∎
Our final lemma follows easily from Lemma 3.6.
Lemma 3.9**.**
If is a finite set, , is a polynomial of degree at most with real coefficients,
[TABLE]
, , and , then
[TABLE]
4 Proof of the New Results.
**Proof of Theorem 2.1.
**Suppose is a finite set, is self-reciprocal, and has exactly sign changes in . Without loss of generality we may assume that otherwise we study the self-reciprocal polynomial defined by , where and . Let be the companion polynomial of . Let
[TABLE]
where . Let
[TABLE]
Lemma 3.8 together with and implies
[TABLE]
and hence
[TABLE]
Applying Lemma 3.9 with , we have
[TABLE]
with , , and . Observe that if and
[TABLE]
then
[TABLE]
Lemma 3.4 gives
[TABLE]
Using , , , , , (4.1), (4.2), , and the inequality valid for all and , we obtain
[TABLE]
and hence
[TABLE]
Combining this with (4.3) and gives that there is an absolute constant such that
[TABLE]
It is easy to see that
[TABLE]
Therefore if , then , and the theorem follows from (4.4) after a straightforward calculus. If , then it follows from , , , and that
[TABLE]
with an absolute constant , and the theorem follows. ∎
**Proof of Theorem 2.2.
**Let be a finite set. If is self-reciprocal, then the corollary follows from Theorem 2.1. If is self-reciprocal, then defined by
[TABLE]
is also self-reciprocal, where the fact that is finite implies that the set
[TABLE]
is also finite. Observe also that
[TABLE]
and
[TABLE]
Hence applying Theorem 2.1 to , we obtain the statement of the corollary for from Theorem 2.1 again. ∎
**Proof of Theorem 2.3.
**The corollary follows from Theorem 2.1 and the fact that for every trigonometric polynomial of the form
[TABLE]
there is a self-reciprocal algebraic polynomial of the form
[TABLE]
such that
[TABLE]
∎
5 Acknowledgements.
The author wishes to thank Stephen Choi for his reading earlier versions of this paper carefully,
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