Chapter 2
Preliminaries: Planes, Duality, Arcs, and Kakeya Sets
Kakeya Sets with Multiplicity
Sections in this chapter
2.1 The planes
has points and as many lines; every line has points, every point is on lines, two points lie on exactly one line, and two lines meet in exactly one point. Removing the line and its points leaves : points , and lines, each with points, falling into parallel classes of lines, one class for each point of . The line with meets in the point , its direction. Concretely, the lines of direction are , , and the lines of direction are .
Two affine lines in different directions meet in exactly one affine point; two lines in the same direction are disjoint. These two facts, and the count of points per line, are all that Chapter 3 uses.
2.2 Duality
Lemma 2.1 (The standard correlation). The map that sends the point to the line and the line to the point is a bijection of the points of onto its lines and of its lines onto its points, and it reverses incidence: if and only if .
Proof. The point lies on iff , a condition symmetric in the two triples. ∎
Fix . Under :
- the directions (points of ) become the lines through ;
- the affine lines of a direction become the points of the line other than ;
- the affine points become the lines not through ;
- an affine point lies on an affine line iff the point lies on the line .
Consequently an -fold configuration corresponds to a set of points with and exactly points of on every line through , and conversely. The multiplicity of an affine point is , and the union corresponds to the set of lines not through that meet :
I shall move freely between the two pictures, calling and dual to each other.
2.3 Arcs and maximal arcs
Definition 2.2. A nonempty set of points of is a maximal arc of degree if every line meets in or points.
The whole plane is a maximal arc of degree ; a single point, of degree ; the affine plane (the complement of a line), of degree . These are the trivial maximal arcs. A maximal arc of degree is a set of points no three collinear, a hyperoval, and these exist iff is even (a conic together with its nucleus). The name comes from Barlotti (1955), who showed that a set of points meeting every line in at most points has , with equality iff every line meets it in or points.
Lemma 2.3. Let be a maximal arc of degree in . Then , and if then .
Proof. Take . The lines through each contain further points of and together cover , so . Since , is not the whole plane; take . The lines through that meet partition into sets of size , so , i.e. , and since , . ∎
For even the divisibility condition is sufficient.
Theorem 2.4 (Denniston 1969). Let and let divide . Then contains a maximal arc of degree .
The proof uses three facts about , , which I recall. The absolute trace , , is -linear, surjective, and satisfies ; its kernel is an additive subgroup of index . Squaring is a bijection of . And for the polynomial is irreducible over iff (Lidl and Niederreiter 1997, Thm 2.25 and Cor. 3.79; Hirschfeld 1998, §1.4).
Proof. Fix with and put . Then only for : if then contradicts irreducibility, and if then . Let be a root of in ; then and , so is the norm from to . The norm is a surjective homomorphism with kernel of order , so for each the conic has exactly points, and the partition .
Let be an additive subgroup of of order (an -subspace of dimension ) and define
so . I claim every line of meets in or points.
The line at infinity meets in points.
Lines through the origin. On we have with . Since is a bijection of , the number of with is . On , , and likewise points.
Lines not through the origin. Consider with . Then
where is -linear with kernel of order ; so its image is an additive subgroup of index and every element of has exactly two preimages. Moreover : if then , forcing and . Now the number of points of on the line is
where is the coset . If , then since the coset lies in the complement of and the count is . If , then has index in , and has elements, because is the complement of ; the count is . The vertical lines are handled identically with , , and because .
So is a maximal arc of degree . ∎
Remark 2.5. The proof shows more: for one may take a subgroup of order , and then is a maximal arc of degree contained in . In particular every Denniston arc of degree contains a hyperoval through the origin. This nesting is used in §7.2.
Denniston's are not the only maximal arcs in planes of even order: Thas (1974) and Mathon (2002) gave further constructions, and Hamilton and Mathon (2004) used Mathon's method to produce maximal arcs not of Denniston type for every degree with . Only Denniston arcs are used here.
For odd the situation is the opposite.
Theorem 2.6 (Ball, Blokhuis, and Mazzocca 1997). If is odd, contains no maximal arc of degree with .
The proof, and the shorter one of Ball and Blokhuis (1998), associates to a putative arc a polynomial over and derives a contradiction from its degree and its vanishing; it is a polynomial-method argument in the sense of the companion dissertation, and I do not reproduce it. Lemma 2.3, Theorem 2.4, and Theorem 2.6 together give the complete existence theory: a maximal arc of degree , , exists in if and only if is even and .
2.4 Kakeya sets
A Kakeya set in is a set containing a line in every direction; it is what I call a -fold Kakeya set. Dvir (2009) proved that a Kakeya set in has at least points, so at least in the plane. The exact value is due to Blokhuis and Mazzocca (2008):
the even case being attained exactly by the duals of hyperovals through and the odd case by a construction from a conic, which Blokhuis and Mazzocca also showed to be the only one (they state the classification for a dual oval, which for odd is a dual conic by Segre's theorem (1955)). The even case is the first instance of Theorem B: a hyperoval is a maximal arc of degree . Blokhuis, De Boeck, Mazzocca, and Storme (2014) study the spectrum of sizes above the minimum and classify the smallest examples; Dover, Mellinger, and Scott (2014) consider Kakeya sets minimal under inclusion, which need not have minimum size.
The quantity is a minimum over configurations: every -fold Kakeya set contains an -fold configuration's union, and every such union is an -fold Kakeya set. So
and I work with configurations throughout.
2.5 The polynomial method
The polynomial method proves lower bounds on by finding a nonzero polynomial of low degree vanishing on (by linear algebra, if is small) and showing that the structure of forces the degree to be large. Dvir's argument for Kakeya sets is the model (Guth 2016 is the general reference for the method; the companion dissertation develops it from three lemmas), and I state the form of it that will be needed. Say that a polynomial in is reduced if every exponent is at most ; every function is represented by exactly one reduced polynomial, and the reduced polynomials of degree at most form a space of dimension
Proposition 2.7 (Dvir's argument for -fold sets). Let be an -fold Kakeya set in , . No nonzero polynomial of degree at most vanishes on . Hence .
Proof. Suppose of degree vanishes on , and let be its homogeneous part of degree ; since . For each direction choose a line ; the univariate polynomial has degree at most and roots, so is zero, and its coefficient of , which is , vanishes. Thus vanishes at every point of (at by homogeneity). A nonzero polynomial of degree has at most zeros in , a contradiction. The bound follows because a set of fewer than points is the zero set of a nonzero polynomial of degree at most , there being monomials of that degree. ∎
The argument uses one line per direction and nothing else, so it cannot distinguish from . Chapter 7 (§7.4) shows that this is not an artefact of the proof: for the minimal configurations found by computation, the least degree of a nonzero reduced polynomial vanishing on is exactly the least with , the degree at which such a polynomial exists for trivial reasons. Any improvement must therefore come from an argument that sees several lines per direction at once. The next chapter gives one, and it is not a polynomial argument.