On Distinct Distances Between a Variety and a Point Set
Bryce McLaughlin, Mohamed Omar

TL;DR
This paper establishes new lower bounds on the number of distinct distances between a point set on a fixed-degree algebraic curve and an arbitrary point set in the plane, generalizing previous results.
Contribution
It provides novel lower bounds on distinct distances involving a curve-constrained point set and an arbitrary set, extending prior work in combinatorial geometry.
Findings
Lower bound: (\u211c_1,_2) = (m^{1/2}n^{1/2}\u2212 n^{1/2}^{-1/2})
Lower bound: (_1,_2) = (n^{1/2} m^{1/3})
Results generalize previous bounds by Pohoata, Sheffer, Pach, and de Zeeuw.
Abstract
We consider the problem of determining the number of distinct distances between two point sets in where one point set of size lies on a real algebraic curve of fixed degree , and the other point set of size is arbitrary. We prove that the number of distinct distances between the point sets, , satisfies when and when This generalizes work of Pohoata and Sheffer, and complements work of Pach and de Zeeuw.
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Taxonomy
TopicsMathematical Approximation and Integration · Computational Geometry and Mesh Generation · Limits and Structures in Graph Theory
On Distinct Distances Between a Variety and a Point Set
Bryce McLaughlin [email protected]. Department of Mathematics, Harvey Mudd College
Mohamed Omar [email protected] This research was supported by the Harvey Mudd College Faculty Research, Scholarship, and Creative Works Award. Department of Mathematics, Harvey Mudd College
Abstract
We consider the problem of determining the number of distinct distances between two point sets in where one point set of size lies on a real algebraic curve of fixed degree , and the other point set of size is arbitrary. We prove that the number of distinct distances between the point sets, , satisfies
[TABLE]
This generalizes work of Pohoata and Sheffer, and complements work of Pach and de Zeeuw.
1 Introduction
In 1946 Erdős [3] proposed the distinct distances problem asking for the minimum number of distinct distances that any set of points in the plane can determine. Upon posing the problem, Erdős established that ; this being the number of distinct distances between pairs of points lying on a square grid. He further established that . Many mathematicians (see [1],[5],[10],[11],[12]) improved Erdős’ lower bound to for increasingly larger values of , but Erdős conjectured that for every . This conjecture was finally resolved in the breakthrough 2015 paper of Guth and Katz [4], where they proved , introducing novel techniques in real algebraic geometry to the problem.
Though Erdős’ original problem is more or less asymptotically resolved, many variants of Erdős’ original problem still remain wide open. One particular such class of variants looks at incidences between two point sets , and asks for the minimum number of distinct distances between them; this is denoted . This variant is referred to in literature as the bipartite distances problem. Many results have been established on lower bounds for bipartite distances when and have special structure. First consider when and are both lie on lines that are not parallel nor orthogonal. In this case, Elekes [2] discovered a lower bound of when and are balanced, meaning . Sharir, Sheffer and Solymosi [9] showed that when and enjoy the same restrictions as in Elekes’ result, then . In the balanced case, this improves Elekes’ result to . Pach and de Zeeuw [6] proved a similar lower bound in the more general case when both lie on two irreducible algebraic curves of constant degree , provided the curves are not parallel lines, orthogonal lines, or concentric circles. Namely, they proved , where the constant depends on the degree of the given curves. All these findings place heavy restrictions on both point sets involved.
Our main contribution in this article is to establish lower bounds for that are asymptotically looser but work in a much more general setting: when is an unrestricted fixed degree algebraic curve, and is any point set. Our main contribution is the following theorem.
Theorem 1.1**.**
Let be a set of points on a curve of fixed degree in and let be a set of points in Then
[TABLE]
This work is benefitted by recent results of Pohoata and Sheffer [8] that establishes similar lower bounds for when is restricted to a line and is arbitrary.
2 Preliminaries
We begin with preliminaries pertinent to our exposition. The first of these discusses necessary background from algebraic geometry. We often speak of curves of a fixed degree, so we make related terminology clear. In the polynomial ring , the affine variety of the polynomial , denoted , is the zero set of , i.e. . We interchangeably use the terms affine variety, variety, algebraic curve, and curve, to refer to when . We say a variety is reducible if it is the union of proper subvarieties, otherwise it is irreducible. Any algebraic curve is a finite union of irreducible algebraic curves; we refer to the irreducible algebraic curves as the components of . A linear component of is a component of the form where is linear. A circular component of is a component of the form where is a circle.
A classical theorem in algebraic geometry that we exploit discusses intersections of curves:
Theorem 2.1** (Bezout’s Theorem).**
If and are polynomials in of degree and respectively, and and have no common factors in , then has at most points.
Another theorem from algebraic geometry will be useful for understanding how much a given curve can partition . Here, connected components are in the sense of the standard topology on .
Theorem 2.2** (Harnack’s Curve Theorem).**
If is a degree polynomial, then has connected components in .
We now review concepts from discrete geometry, including recent developments of Pohoata and Sheffer [8], that are pertinent for our discussion. We begin by formally introducing the concept of incidences. Let be a set of points, for our purposes in , and let be a set of geometric objects in . We say a point is incident with an object if lies in . The number of such incidences between and is denoted . It will serve useful for us to find upper bounds on , and these can be developed by looking at the incidence graph of and , which is the bipartite graph with bipartition where there is an edge between and precisely when is in . The following theorem of Pach and Sharir uses the incidence graph to establish an upper bound for when is a set of points and is a set of algebraic curves with specific data.
Theorem 2.3** (Pach and Sharir [7]).**
Let be a set of m points and a set of distinct irreducible algebraic curves of degree at most in . If the complete bipartite graph is not a subgraph of , then
[TABLE]
The second technique that is central in our exposition is a technique developed by Pohoata and Sheffer [8] that is the gateway to their development of the analogue of Theorem 1.1 when the points in lie on a line (i.e. when ). It relies on keeping track of -tuples of distances that are realized by a given pair of point sets, for a fixed .
Definition 2.4**.**
Let be finite. The distance energy between and is
[TABLE]
They relate distance energies to distinct distances in the following way.
Proposition 2.5**.**
If and , then
[TABLE]
They subsequently establish upper bounds on to achieve lower bounds on through Proposition 2.5. To establish upper bounds on , they observe that
[TABLE]
where is the number of pairs of points, one from and one from , that realize the distance , and is the set of all distances realized between the two point sets. We use this technique to generalize their result to Theorem 1.1.
3 Main Result
We now prove Theorem 1.1. Throughout, we let be the curve , where has degree .
First, suppose . Let be a point which is not at the center of any circular component of . We can guarantee such a point exists because the complement of has at most connected components by Theorem 2.2 and is fixed with respect to . Let be a circle centered at , so is a degree polynomial in . By construction, and have no common factors, so by Bezout’s Theorem there are at most points in that lie on the circle . These at most points are precisely the set of points in whose distance from is the radius of . Consequently, the number of distinct distances between and is at least . Since this implies
[TABLE]
We can now assume throughout that . Suppose furthermore that points of lie on . Choose a point that does not lie at the center of any circular component of . Then as in the previous argument, at most points on share a common fixed distance to , so . Since , we get . So it remains only to consider when less than a constant fraction of the points of lie on . In other words, if we let be the set of points in not lying on , we can assume . For our convenience, we further restrict to the subset consisting of points in that do not lie at the center of any circular component of . Again there are at most such points by Theorem 2.2, so .
Suppose now that points in lie on linear components of . Since is a curve of fixed degree , there are at most linear components in , so of these points lie on a single linear component, say the line . Now applying Theorem 1.6 in [8] with and we get and Theorem 1.1 then follows because . Therefore, if we let be the set of points in that do not lie on linear components of , we can assume .
The remainder of the proof establishes the lower bounds given in Theorem 1.1 with and replaced by and respectively. The theorem then follows from the facts that , and . We begin with the first case of Theorem 1.1 in which . To establish the desired lower bound for , we consider the distance energy between and . From Proposition 2.5,
[TABLE]
so finding lower bounds on amounts to finding upper bounds on . From Equation (1),
[TABLE]
where is the set of all distances realized between and , and for the statistic is the number of pairs of points, one from and one from , that realize the distance . Now fix and let . Let , where is quadratic in , be the circle of radius centered at . The number of points in of distance from is at most . The polynomials have no common factors because does not lie at the center of any circular component of , so by Bezout’s Theorem, . Subsequently, .
Let , and . Then we have
[TABLE]
Now for a fixed , let . We bound in order to bound . Let be the set of circles centered at points of whose radii lie in , (so there are such circles) and consider the incidence graph between and these circles, namely . We claim this graph avoids as a subgraph. If not, then there would be two points in that lie on circles in . If this were the case, then the centers of these circles would be collinear, lying all on some line where . These centers lie in , which by assumption does not contain any point lying on linear components of . So, if we construct the curve that is obtained from by deleting its linear components, and is not a subvariety of so and have no common factors. Consequently by Bezout’s Theorem,
[TABLE]
But this is a contradiction because the centers of the circles all lie in . So, is not a subgraph of , and hence Theorem 2.3 implies
[TABLE]
We continue based on which summand dominates the expression . If dominates, then so . Now so
[TABLE]
as desired. So if the summand dominates, we do not need to bound as we will get the desired result for Theorem 1.1.
If any of the other two summands dominate, we will subsequently bound . First suppose dominates the sum. Then so and hence
[TABLE]
If instead dominates, we use the fact that by definition of , so and subsequently
[TABLE]
Combining Equations (2) and (3), we have
[TABLE]
Subsequently,
[TABLE]
Now if , the above bound is dominated by , so . Subsequently, by Proposition 2.5,
[TABLE]
as desired.
Our remaining case to consider is when , and much of this case follows the analogous proof in [8], but we include it for completeness. First, suppose there is a for which . Consider the pairs of points for which the distance from to is . If we let be the set circles centered at the the points that occur in some such pair , then intersects in at least many points. Since , there are at most circles in , so there is some circle that intersects in at least many points. Now choose any point that is not at the center of the circle . Then at most two points on have the same distance from , so the number of distinct distances from to points in on the circle is at least . Consequently,
[TABLE]
establishing Theorem 1.1. Finally, suppose instead that for every . Now for a fixed , there are at least pairs of points, one from one from , that realize the distance . Consequently, . So, using second distance energies, we have
[TABLE]
The bounds in the second last line coming from the fact that in the first summand, and from the Equations (2) and (3) in the second summand. Subsequently, by Proposition 2.5,
[TABLE]
as desired.
Acknowledgments
The authors would like to thank Adam Sheffer for suggesting this problem and for helpful discourse. This research was supported by the Harvey Mudd College Faculty Research, Scholarship, and Creative Works Award.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 2[2] György Elekes. A note on the number of distinct distances. Periodica Mathematica Hungarica , 38(3):173–177, 1999.
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- 4[4] Larry Guth and Nets Hawk Katz. On the erdős distinct distances problem in the plane. Annals of Mathematics , pages 155–190, 2015.
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