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Record W2295570425 · doi:10.19086/da990

New bounds on curve tangencies and orthogonalities

2016· article· en· W2295570425 on OpenAlexafffund
Jordan S. Ellenberg, József Solymosi, Joshua Zahl

Bibliographic record

VenueDiscrete Analysis · 2016
Typearticle
Languageen
FieldComputer Science
TopicComputational Geometry and Mesh Generation
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaNational Science Foundation
KeywordsCombinatoricsMathematicsDiscrete geometryIncidence (geometry)Plane (geometry)Discrete mathematicsGeometry

Abstract

fetched live from OpenAlex

New bounds on curve tangencies and orthogonalities, Discrete Analysis 2016:18, 22 pp. An important subfield of combinatorial geometry is that of _incidence problems_. Typically with such a problem one has two collections $A$ and $B$ of geometrical objects and some notion of incidence concerning them, and one wants to know how many incidences there can be. A fundamental theorem of this kind is the Szemerédi-Trotter theorem, which asserts that given $n$ points and $m$ lines in the plane, the number of incidences between them (that is, the number of pairs $(p,\ell)$ where $p$ is one of the points, $\ell$ is one of the lines, and $p$ is contained in $\ell$) is at most $C(n+m+(mn)^{2/3})$. Another important problem in the area is the _joints problem_, which is now a theorem of Larry Guth and Nets Katz. Given a set $L$ of lines in $\mathbb R^3$, define a _joint_ to be a point $p\in\mathbb R^3$ such that there are three lines $\ell_1,\ell_2$ and $\ell_3$ that meet at $p$ and have linearly independent directions. Guth and Katz proved that $n$ lines can give rise to at most $O(n^{3/2})$ joints, which is best possible, as one can see by taking all axis parallel lines in $\mathbb R^3$ that intersect the grid $\{1,2,\dots,m\}^3$, with $m\sim\sqrt n$. This was part of the proof of their remarkable solution to the Erdős distance problem [2]. This paper is about incidences of a special kind between algebraic curves in the plane. Given a set $C$ of such curves, a _tangency_ is a point $p$ in the plane and a line $\ell$ through $p$ such that at least two curves in $C$ go through $p$ in direction $l$. An _orthogonality_ is a point $p$ and a line $l$ through $p$ such that at least one curve in $C$ goes through $p$ in the direction of $\ell$ and at least one curve in $C$ goes through $p$ in the direction orthogonal to $\ell$. (Throughout, we are assuming that the curves are not singular at $p$.) The first main result of the paper roughly speaking states that a set $\mathcal L$ of $n$ algebraic curves of degree at most $D$ can give rise to at most $C_Dn^{3/2}$ tangencies. A more precise statement is that if you define the _multiplicity_ of a tangency $(p,\ell)$ to be the number of curves in $\mathcal L$ that go through $p$ in direction $\ell$, then the sum of the multiplicities over all the tangencies is at most $C_Dn^{3/2}$. Like Guth and Katz's proof of the joints problem, and Zeev Dvir's famous solution of the finite-field Kakeya problem [1], the proof uses the polynomial method. They also prove the result in arbitrary fields, provided that $|\mathcal L|\leq c_D\chi^2$, where $\chi$ is the characteristic of the field (where this should be interpreted as meaning that there is no restriction if the characteristic is zero). The theorem about orthogonalities is a little more complicated to state. One would like to say that $n$ plane curves of degree $D$ can give rise to at most $C_Dn^{3/2}$ orthogonalities, but that is false: for example, one can take $n/2$ parallel lines and another $n/2$ parallel lines that are orthogonal to the first ones. However, in a certain sense this is the only kind of counterexample. A precise statement can be found as Theorem 2 in the paper, but the rough idea is as follows. We say that $X$ is a _family of curves_ if it can be defined in a polynomial manner. Then if $k$ is a field and $X$ is a family of curves in $k^2$ of degree at most $D$, then one of the following two situations occurs. Either every set $\mathcal L$ of $n$ curves from $X$ gives rise to at most $C_{D,X}n^{3/2}$ orthogonalities or for every $n\leq c_D\chi^2$ one can find $n$ curves in $X$ that give rise to $n^2(1/4-o_{D,X}(1))$ orthogonalities (where $o_{D,X}(1)$ denotes a term that tends to zero as $n$, and hence also the characteristic, tend to infinity while $D$ and the equations that define the family $X$ remain fixed). Both results are proved by first transforming the set of curves into a set of curves in $k^3$ such that tangencies/orthogonalities in the original set correspond to intersections in the new set. A simple example (given in the paper at the end of Section 1.3) shows that the condition that the curves should be algebraic of bounded degree is essential. [1] Zeev Dvir, _On the size of Kakeya sets in finite fields_, JAMS 22 (2009), 1093–1097; [preprint available online](https://www.cs.princeton.edu/~zdvir/papers/Dvir09.pdf) [2] Larry Guth and Nets. Katz, On the Erdo ̋s distinct distance problem in the plane., Ann. of Math. 181 (2015), 155–190; or see [arxiv:1011.4105](https://arxiv.org/abs/1011.4105)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.024
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0070.005
Science and technology studies0.0030.006
Scholarly communication0.0060.024
Open science0.0020.008
Research integrity0.0020.009
Insufficient payload (model declined to judge)0.0240.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.247
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations14
Published2016
Admission routes2
Has abstractyes

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