Pinned Distances in Modules over Finite Valuation Rings
Esen Aksoy Yazici

TL;DR
This paper establishes lower bounds on the number of distinct distances from a fixed point in the Cartesian product of a subset of a finite valuation ring, showing that large subsets determine many distances.
Contribution
It proves a new lower bound on pinned distances in modules over finite valuation rings, extending distance problems to this algebraic setting.
Findings
Existence of a point with many pinned distances
If |A| ≥ q^{r - 1/3}, A×A determines a positive proportion of all distances
Lower bounds depend on the size of A and the ring's parameters
Abstract
Let be a finite valuation ring of order where is odd and be a subset of . In the present paper, we prove that there exists a point in the Cartesian product set such that the size of the pinned distance set at satisfies This implies that if , then the set determines a positive proportion of all possible distances.
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Taxonomy
TopicsLimits and Structures in Graph Theory · Analytic Number Theory Research · Graph theory and applications
Pinned Distances in Modules over Finite Valuation Rings
Esen Aksoy Yazici
Abstract
Let be a finite valuation ring of order where is odd and be a subset of . In the present paper, we prove that there exists a point in the Cartesian product set such that the size of the pinned distance set at satisfies
[TABLE]
This implies that if , then the set determines a positive proportion of all possible distances.
1 Introduction
Erdős-Falconer type problems in discrete geometry ask for a threshold on the size of a set so that the set determines the given geometric configurations. These problems have been studied by many authors both in continuous and discrete setting.
In [9], Erdős observed that integer grid determines distances and he conjectured that the minimum number of distances determined by a -point set in the plane is indeed , where is an absolute constant. Despite many works and progress, the Erdős distance problem was open until recently. In 2010, Guth and Katz [10] employed a polynomial partitioning technique based on Elekes-Sharir framework to prove that points in the plane determine at least distances. This result solved the Erdős distance problem up to a factor.
The distance problem in finite field plane was first studied by Bourgain, Katz and Tao in [5]. The result in [5] was later generalized by various authors to higher dimensional vector spaces. It was also extended to many other geometric configurations in finite field geometry, see for instance [2, 3, 4, 6, 7, 11, 13, 14, 16] and references therein. In particular, in [16], Petridis proved the following pinned distance result for Cartesian product subsets of vector spaces over prime fields.
Theorem 1.1**.**
[16, Theorem 1.1]* Let be an odd prime and . There exist such that*
[TABLE]
Similar geometric problems in modules over finite cyclic rings were studied by Covert, Iosevich and Pakianathan in [8]. Using a Fourier analytic approach, the authors of [8] proved the following.
Theorem 1.2**.**
[8, Theorem 1.3]* Let , where . Suppose*
[TABLE]
Then the distance set determined by the points of satisfies
[TABLE]
Later in [12], Hieu and Vinh proved the following distance result in the context of finite cyclic rings.
Theorem 1.3**.**
[12, Theorem 2.7]* Let be of cardinality . Then, the size of the distance set determined by satisfies*
[TABLE]
Now, let denote a finite valuation ring. In this paper, we study a variant of distance problem, namely pinned distance problem, for Cartesian product subsets of .
Note that, the method we use to prove the main result of this paper is analogous to the one given by Petridis in [16, Theorem 1.1]. More precisely, we first see pinned distances at a fixed point in as a point-plane incidence in . Then we employ the point-plane incidence bound for multisets in which is recently given by Van The et al. in [17, Theorem 2.3]. This yields the lower bound for the size of the specified pinned distance set in in Theorem 1.4.
We should mention that the distance result we obtain in Theorem 1.4 recovers the pinned distance result in [16] in the finite filed setting. Also, in the setting of modules over finite cyclic rings , it is an improvement on the distance results given in [8, 12] for the Cartesian product sets
Before stating the main theorem, let us recall some necessary definitions.
1.1 Notation.
We note that a detailed definition of finite valuation ring can be found in [15]. In order to make the statements precise and self contained, we will review the definition and provide some key examples in this note. A finite valuation ring is a finite principal ideal domain which is local. Given a finite valuation ring , we associate two parameters and to as follows. Let the maximal ideal of to be of the form , where is the uniformizer of , i.e. a non unit defined up to a unit of . Let be the nilpotency degree of , that is the smallest positive integer with the property that and be the size of the residue field . Therefore, has the filtration
[TABLE]
where . Some examples of finite valuation rings are as follows.
Finite fields , where is a prime power. 2. 2.
Finite cyclic rings , where is a prime. 3. 3.
Function fields , where is a finite field and is an irreducible polynomial in . 4. 4.
, where is the ring of integers in a number field and is a prime in .
Let us also write some of the examples above with parameters and as stated in the definition. Note that for the finite field , is a prime, we have and . And for the finite cyclic ring we have the filtration
[TABLE]
Hence and in this case.
Next we recall the notion of distance in this context. For two points and in , the distance between them is given by
[TABLE]
For a subset , the distance set determined by is
[TABLE]
and the distance set pinned at a fixed point of is defined by
[TABLE]
Throughout will denote a finite valuation of order , where is an odd prime power. means that there exists an absolute constant such that , and is defined similarly.
1.2 Statement of Main Result
Our main result is the following theorem.
Theorem 1.4**.**
Let be a finite valuation ring of order , q is an odd prime power, and . There exists a point such that
[TABLE]
In particular, if , then for some and hence determines a positive proportion of all possible distances.
Remark 1.5*.*
Let , where is an odd prime. Note that in this case we can take and in Theorem 1.4 and conclude that if , then there exists such that
[TABLE]
In particular, if then for some . This result matches with the result of Petridis given in [16, Theorem 1.1] in the context of prime fields and generalize it to the broader context of finite valuation rings.
Remark 1.6*.*
We note that the result in [8, Theorem 1.3] in the special case implies that if , where , and , then
[TABLE]
On the other hand, Theorem 1.4 implies that if , where , and , then
Therefore, in terms of getting a positive proportion of all possible distances, Theorem 1.4 improves the result in [8, Theorem 1.3] for Cartesian product sets of the form .
Remark 1.7*.*
In [12, Theorem 2.7], for , the following result was obtained for subsets of finite cyclic rings. Let be of cardinality where . Then the number of distances determined by satisfies
[TABLE]
Theorem 1.4 can be seen as a generalization of this result to finite valuation rings and a slight improvement in the context of finite cyclic rings.
2 Proof of Theorem 1.4
For the proof of Theorem 1.4, we will need the following lemma from [16]. We note here that though Petridis stated Lemma 2.1 for subsets of finite fields , it can be readily checked that the same proof applies for subsets of any finite valuation ring.
Lemma 2.1**.**
Let and be the number of solutions to
[TABLE]
where . Then there exists such that
We will also use the following point-plane incidence bound in from [17].
Theorem 2.2**.**
[17, Theorem 2.3]* Let be weighted set of points and planes in with the weighted integer function , both total weight . Suppose that maximum weights are bounded by Let the number of weighted incidences be*
[TABLE]
where
[TABLE]
Then the number of weighted incidences is bounded as follows:
[TABLE]
Proof of Theorem 1.4.
We first note that if we write , and , where , then the equation (2.1) can be written as
[TABLE]
which can be restated as
[TABLE]
Next we define a set of points and a set of planes in as follows:
[TABLE]
and
[TABLE]
Then it follows that the number of incidences between and is equal to the number of solutions of the equation (2.2) which is in Lemma 2.1.
Note that the total weight of and are both . Hence, Theorem 2.2 implies that
[TABLE]
Therefore, by Lemma 2.1, there exists such that
[TABLE]
which completes the proof of Theorem 1.4. ∎
Acknowledgments. The author would like to thank Brendan Murphy for valuable comments.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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