Unlikely intersections over finite fields: polynomial orbits in small subgroups
L\'aszl\'o M\'erai, Igor E. Shparlinski

TL;DR
This paper investigates how often polynomial iterations land in small subgroups of finite fields and provides bounds on subgroup sizes generated by polynomial orbits, advancing understanding of polynomial dynamics over finite fields.
Contribution
It introduces new bounds on polynomial orbit intersections with subgroups and extends results to sequences of polynomial compositions over finite fields.
Findings
Estimates the frequency of polynomial orbit intersections with subgroups.
Provides lower bounds on subgroup sizes generated by polynomial orbits.
Develops general results for sequences of polynomial compositions.
Abstract
We estimate the frequency of polynomial iterations which falls in a given multiplicative subgroup of a finite field of elements. We also give a lower bound on the size of the subgroup which is multiplicatively generated by the first elements in an orbit. We derive these from more general results about sequences of compositions or a fixed set of polynomials.
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Unlikely Intersections over Finite
Fields: Polynomial Orbits in Small Subgroups
László Mérai
L.M.: Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences, Altenberger Straße 69, A-4040 Linz, Austria
and
Igor E. Shparlinski
I.E.S.: School of Mathematics and Statistics, University of New South Wales. Sydney, NSW 2052, Australia
Abstract.
We estimate the frequency of polynomial iterations which fall in a given multiplicative subgroup of a finite field of elements. We also give a lower bound on the size of the subgroup which is multiplicatively generated by the first elements in an orbit. We derive these from more general results about sequences of compositions on a fixed set of polynomials.
Key words and phrases:
polynomial iterations, polynomials semigroups, multiplicative subgroup, finite fields, unlikely intersection
2010 Mathematics Subject Classification:
11D79, 11T06, 37P05, 37P25
1. Introduction
1.1. Background and motivation
Recently, several of so called unlikely intersection type results, see [28] for a general background, have been obtained on the scarcity of elements in orbits of polynomial maps in fields of characteristic zero that fall in a set of prescribed additive, multiplicative or algebraic structure. Examples of such sets include
- •
algebraic varieties [1, 18, 24, 26, 27] where the problem is also known as the dynamical Mordell-Lang conjecture;
- •
an orbit generated by another polynomial or rational function [9, 10];
- •
the set of all roots of unity in , see [8, 15] and more generally, of algebraic numbers with all conjugates bounded by some constant, see [6, 20];
- •
the set of all perfect powers in a number field, see [3, 17];
- •
a finitely generated group in a number field, see [2, 11, 19].
As we have mentioned, the above results are all established for fields of characteristic zero. There are also some analogues, or sometimes even stronger results for function fields of positive characteristic, where some additional tools are available, such as a very strong (and rigorously established) form of the -conjecture (see [12]).
On the other hand, there are very few results in this direction in the settings of finite fields. In fact, the problem itself has to be reformulated and instead of asking for finiteness results (which is immediate in this case) one can ask about upper bounds on the size of these intersections compared to the orbit length. For example, multiplicative character sums along elements of very long orbits have been estimated in [13] (using the ideas of [14] one can apparently improve the result of [13] and make it nontrivial for slightly shorter orbits). In turn, this immediately allows to study intersections of orbits with multiplicative subgroups of finite fields. Some of the results of [22, 23] apply to very short segments of an orbit, however they are not uniform with respect to the polynomials defining the dynamical system, that is, the bounds depend on the size of the coefficients of , which is not quite natural in the settings of finite fields. It is interesting to note that relatively more is known about additive properties of orbits in finite fields, where a range of new techniques becomes available, see [7, 4, 5, 16, 21].
The main goal of this work is to bridge this gap and present some results which are both nontrivial to short segments of orbits and uniform with respect to the polynomial .
Additionally we consider a more general case, when instead of one polynomial, finitely many polynomials are composed with each other. In other words, we consider orbits of a semigroup generated by a finite set of polynomials over a finite field.
Our technique is based on a very recent result of Vyugin [25] which is based on a rather delicate blend of techniques and ideas coming from additive combinatorics and the so-called Stepanov method, which is of an algebraic nature.
1.2. Set-up
Here, motivated by the results outline in Section 1.1, we consider analogous problems in positive characteristic and in particular investigate the frequency of values in an orbit of a polynomial over a finite field which fall in a multiplicative subgroup of a given order.
Let be the finite field of elements. Given a polynomial , we consider the trajectories generated by iterations of starting from some , that is, sequences of the form
[TABLE]
Clearly, each trajectory is eventually periodic. That is, there are some integers such that and thus , In particular, the smallest satisfying the above condition is called the trajectory length.
For let be the period length of the sequence (1.1) with starting point , that is, the minimal such that for with the convention, that if the sequence (1.1) is not periodic (just eventually periodic).
Here we consider the size of the smallest subgroup which contains the first non-zero elements of the sequence , that is,
[TABLE]
Some bounds on and also on the frequency of the event for a given subgroup , and related questions, are given in [22, 23]. However, the results of [22] apply to either very long segments of an orbit or (as well as in [23] are not uniform with respect to (that is, depend of the size of the coefficients of ). Here we use a different approach, utilizing a recent result of Vyugin [25] and obtain stronger and fully uniform results. In fact, we study analogous problems in a much more general situation of semigroups generated by several polynomials under composition.
Let be polynomials of positive degree. Consider the functional graph with vertices and directed edges with , .
For a point we consider the vertices in this graph which are close to :
[TABLE]
and study whether these points are contained in small subgroups. Put
[TABLE]
and define as the size of the smallest subgroup which contains all non-zero elements of :
[TABLE]
1.3. Results
In order to state the results, for a graph we denote by the undirected graph (that is, is an edge in if or is an edge in ) and we also denote by the length of a shortest cycle in the graph (defined over the algebraic closure of ) which contains [math]. Clearly, for the case of one polynomial (), we have .
We remark that the size (or finiteness) of seems to reappear in many works on unlikely intersections of orbits (in finite or infinite fields), see [13, 17], however there seems to be no intrinsic reason for this. It is highly desirable to gain better understanding of the phenomenon.
Since these underlying results of [25] apply only in prime fields, we limit our considerations to prime finite fields where is a large prime. All explicit and implicit constants are independent of .
We now show that grows at least quadratically compared to as long as the field size is large enough to accommodate this growth, improving the trivial linear bound
[TABLE]
Theorem 1.1**.**
Let , and be fixed. Then there exist constants and depending only on , and , such that if are polynomials of degree at most and , then
[TABLE]
As a special case, we have the following result for the dynamical system (1.1) defined by just one polynomial.
Corollary 1.2**.**
For any and there exist constants and depending only on and such that if is of degree at most , and , where is the trajectory length of , then
[TABLE]
We now show that for subgroups of size smaller than the frequency of elements of the orbit which fall in is small. More precisely, for a subgroup we denote
[TABLE]
and next give an upper bound of the frequency
[TABLE]
Theorem 1.3**.**
For any , and there exist positive constants and , depending only on and , such that if are of degree at most , is a subgroup of with
[TABLE]
then for we have
[TABLE]
As a special case, we have the following result for the dynamical system (1.1) defined by just one polynomial.
Corollary 1.4**.**
For any and there exist positive constants and , depending only on and , such that if is of degree , is a subgroup of with
[TABLE]
then for we have
[TABLE]
2. Auxiliary results
2.1. Notation
We use the Landau symbol and the Vinogradov symbol . Recall that the assertions and are both equivalent to the inequality with some constant , which throughout this paper, may depend on and , but is independent of the prime and polynomials .
For a finite set , it is convenient to define as the set of all finite words in the alphabet .
2.2. Dense sets in graphs
Here we present a graph theory result which can be of independent interest.
Let be a directed graph, with possible multiple edges. Let be the set of vertices of . For , let be the distance from to , that is, the length of a shortest (directed) path from to . Assume, that all the vertices have the out-degree , and the edges from all vertices are labeled by .
For a word over the alphabet and , let be the end point of the walk started from and following the edges according to .
Let us fix and a subset of vertices . Then for words put
[TABLE]
We need the following combinatorial statement which we believe can find further applications in the study of semigroups generated by several polynomials or other functions.
To state the results, for let denote the size of the complete -tree of depth , that is
[TABLE]
Lemma 2.1**.**
Let , and be fixed. If is a subset of vertices with
[TABLE]
then there exist words of length at most such that
[TABLE]
where the implied constant depends only on .
Proof.
Put
[TABLE]
Let be the number of pairs such that
[TABLE]
If and , then there is a path from to of length at least , thus there are at least vertices such that and . As there are at most vertices with , we have
[TABLE]
On the other hand, let be the number of such that and
[TABLE]
Then
[TABLE]
Comparing (2.2) and (2.3), we derive
[TABLE]
There are at most
[TABLE]
choices for , so we see that there is at least one choice, that
[TABLE]
which concludes the proof. ∎
2.3. Polynomial values of subgroups
We call the set of polynomials admissible if there exist such that
[TABLE]
Lemma 2.2**.**
For polynomials , if , then the polynomials
[TABLE]
are admissible.
Proof.
For a given of form , , , let be a zero of . If it is also a zero of of form , , , , then there are two different paths from to 0 in the functional graph along the edges and . As these two paths define a cycle of size at most , a contradiction. ∎
Our main tool is the following result of Vyugin [25].
Lemma 2.3**.**
Let be a subgroup of and let be cosets of . If form an admissible set of polynomials of degrees and
[TABLE]
then
[TABLE]
where for we define
[TABLE]
and
[TABLE]
3. Proof of main results
3.1. Proof of Theorem 1.1
Let be the smallest integer such that
[TABLE]
where is defined by (2.1). For an appropriate choice of the constant , we can assume, that .
We also set
[TABLE]
Let be the group generated by . Then
[TABLE]
for
[TABLE]
Moreover, the polynomials
[TABLE]
are admissible by Lemma 2.2.
For an appropriate choice of the constant we have
[TABLE]
We can also assume, that
[TABLE]
as otherwise there is nothing to prove. Then by Lemma 2.3
[TABLE]
Finally, we remark that
[TABLE]
which gives the desired result.
3.2. Proof of Theorem 1.3
We can assume throughout the proof, that both and are large enough.
Define
[TABLE]
Put
[TABLE]
Clearly, . By the above choice of parameters, we have
[TABLE]
Assume, that
[TABLE]
Then we have
[TABLE]
By Lemma 2.1, there are of form , , such that
[TABLE]
Consider the polynomials of degree , .
If is large enough in terms of , then
[TABLE]
Moreover, if is large enough, then
[TABLE]
By the choice of ,
[TABLE]
by an appropriate choice of . Then the polynomials are admissible by Lemma 2.2. Then by Lemma 2.3 we have
[TABLE]
Comparing (3.2) and (3.3), we have
[TABLE]
Using we see then the exponent of is negative, that is
[TABLE]
which contradicts (3.1), provided that is large enough.
Acknowledgement
The research of L.M. was supported by the Austrian Science Fund (FWF): Project P31762, and of I.S. was supported in part by the Australian Research Council Grants DP170100786 and DP180100201.
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