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Philosophical transactions. Series A, Mathematical, physical, and engineering sciences logoLink to Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
. 2015 Apr 28;373(2040):20140310. doi: 10.1098/rsta.2014.0310

A heuristic for the distribution of point counts for random curves over a finite field

Jeffrey D Achter 1, Daniel Erman 2, Kiran S Kedlaya 3,, Melanie Matchett Wood 2,4, David Zureick-Brown 5
PMCID: PMC4375378  PMID: 25802415

Abstract

How many rational points are there on a random algebraic curve of large genus g over a given finite field Inline graphic? We propose a heuristic for this question motivated by a (now proven) conjecture of Mumford on the cohomology of moduli spaces of curves; this heuristic suggests a Poisson distribution with mean q+1+1/(q−1). We prove a weaker version of this statement in which g and q tend to infinity, with q much larger than g.

Keywords: algebraic curves, finite fields, moduli spaces, Grothendieck–Lefschetz trace formula, stable cohomology

1. Introduction

The purpose of this paper is to propose a heuristic answer to the following question: what is the distribution of the number of rational points on a random algebraic curve over a fixed finite field Inline graphic as the genus goes to infinity? This is a question that can be translated into a question about the number of Inline graphic-points of the moduli space Mg,n of curves of genus g with n marked points. Our fundamental heuristic assumption is that, in the Grothendieck–Lefschetz trace formula to count Inline graphic-points on Mg,n, only the tautological classes contribute to the main term in the limit; we prove that this assumption implies the distribution of points on a random curve goes to a Poisson distribution with mean q+1+1/(q−1). Moreover, one can make a more precise statement in a certain limit where q and g both tend to infinity, but q grows significantly faster than g. These predictions and results are in the spirit of the work of Ellenberg et al. [1] on the relationship between stable homology of Hurwitz spaces and Cohen–Lenstra heuristics; they are also in a sense reciprocal to the work of Faber & Pandharipande [2], in which point counts on Mg,n for small g are used to study the tautological classes.

Before making these statements more precise, we describe some similar questions which have been studied and indicate how this question differs somewhat from these. The distribution of the number of rational points on a random (smooth, projective, geometrically irreducible) algebraic curve of a given class over a given finite1 field has become a fundamental theme in the nascent field of arithmetic statistics. Some examples of classes for which this topic has been studied previously include hyperelliptic curves [4], cyclic trigonal curves [5], non-cyclic trigonal curves [6], cyclic p-gonal curves [7,8], superelliptic and cyclic m-gonal curves [9], Abelian covers of the line [10], Artin–Schreier curves [1113], smooth plane curves [14], complete intersections in a fixed projective space [15] and curves in a fixed Hirzebruch surface [16]. In each of these cases, every curve C in the family maps to a fixed base space Inline graphic and the (asymptotic) distribution of points on a random C is given by a sum of independent bounded random variables associated to the rational points of the base space. For each Inline graphic, the associated random variable is the number of rational points in ϕ−1(p).

Of course, the most natural and interesting family of smooth, projective curves is the family of all such curves, but proving a result about the distribution of points in this family seems currently out of reach. The class of arbitrary curves differs from the previously mentioned classes in several important ways. One is that the number of rational points on the varying curve is not a priori bounded. A prior example sharing this property is that of Kurlberg & Wigman [17], who considered curves lying in a sequence of surfaces with unbounded point counts. In this case, the average number of points on the curves is unbounded, so one is forced to renormalize to get a limiting distribution with finite mean, which turns out to be Gaussian.

The second distinctive feature of the class of all curves, which separates it from both [17] and most of the preceding examples, is that the moduli space is not rational or even unirational. That is, an arbitrary curve cannot be specified uniformly in terms of a collection of parameters. This makes even the ‘denominator’ in the question, the total number of curves over Inline graphic of a fixed genus, extremely difficult to understand. (See de Jong & Katz [18] for an upper bound.)

Finally, the lack of non-trivial maps from curves in the family to a fixed space means there is no way to make sensible probabilistic models which split the point count into a sum of independent random variables.

Let us now make things more precise for the class of curves. Let Mg denote the fine moduli space of curves of genus g in the sense of Deligne & Mumford [19]; it is an object in the category of algebraic stacks over Inline graphic. The set Inline graphic of (isomorphism classes of) Inline graphic-rational points of Mg may then be identified with the set of isomorphism classes of smooth, projective, geometrically connected curves of genus g over Inline graphic. To simplify notation, let us further identify Inline graphic with a set consisting of one curve in each isomorphism class. For Inline graphic, let Aut(C) be the group of automorphisms of C as a curve over Inline graphic (not over an algebraic closure of Inline graphic). We equip Inline graphic with the probability measure in which each point C is weighted proportionally to 1/#Aut(C). This is well understood to be the most natural way to count objects with automorphisms, and matches the weighting of points in the Lefschetz trace formula for Deligne–Mumford stacks given by Behrend [20].

Let Cg be the (random) curve associated to a random Inline graphic drawn according to the above probability measure. For each g, Inline graphic is a random variable taking values in the non-negative integers, and we are interested in the limiting behaviour of the distributions of these random variables as Inline graphic. We prove that a heuristic assumption about the cohomology of Mg,n (heuristic 1.2) implies that these distributions converge to a Poisson distribution with mean q+1+1/(q−1)=q+1+q−1+q−2+⋯ ; more precisely, we show that heuristic 1.2 implies the following predictions.

Conjecture 1.1 —

Put λ:=λ(q)=q+1+1/(q−1).

  • (a) For all non-negative integers n,
    graphic file with name rsta20140310-e1.jpg
  • (b) For all positive integers n,
    graphic file with name rsta20140310-e2.jpg
    where Inline graphic denotes a Stirling number of the second kind (i.e. the number of unordered partitions of {1,…,n}into i disjoint sets).

Note that part (b) implies part (a): the moment sequence of the Poisson distribution has exponential growth and thus determines the distribution uniquely [21, Theorem 30.1], and for such a limiting distribution convergence at the level of moments implies convergence at the level of distributions [21, Theorem 30.2]. If we let (X)n:=X(X−1)⋯(Xn+1), then the falling moments

1. 1.1

(for all positive integers n) are equivalent to the standard moments in (b) above.

Let Mg,n denote the moduli space of curves of genus g with n distinct marked points, again as an algebraic stack over Inline graphic. Each element of Inline graphic may now be identified (by fixing a representative of each isomorphism class) with a tuple (C,P1,…,Pn) where C is as before and P1,…,Pn are distinct elements of Inline graphic. We equip the points of Inline graphic with the weights where (C,P1,…,Pn) has weight 1/#Aut(C,P1,…,Pn) (i.e. we only consider automorphisms of C fixing P1,…,Pn). By an easy orbit counting argument

1.

(where # denotes weighted count). Thus, we may rewrite conjecture 1.1 as the statement

1. 1.2

Let us now make explicit how we would like to study Inline graphic using the Grothendieck–Lefschetz–Behrend trace formula. For a smooth Deligne–Mumford stack X over Inline graphic, the trace formula asserts that for any prime ℓ not dividing q,

1.

where Inline graphic denotes the base extension of X from Inline graphic to Inline graphic, Inline graphic denotes compactly supported étale cohomology, and Frob is the geometric Frobenius automorphism on Inline graphic. By Deligne's proof of the Riemann hypothesis for algebraic varieties, each eigenvalue α of Frob on Inline graphic is an algebraic integer with the property that for some w∈{0,…,i} (called the weight of α), the conjugates of α in Inline graphic all have absolute value qw/2.

This suggests that one should be able to estimate Inline graphic, and hence the ratio Inline graphic, by computing the action of geometric Frobenius on the highest degree cohomology groups of Inline graphic and burying the other contributions to the trace formula in an error term. Moreover, the highest degree cohomology groups with their Frobenius action are known exactly (see theorem 3.3): they are spanned by so-called tautological classes (see below). Unfortunately, this approach does not lead to any provable estimates for fixed q because the Betti numbers of Inline graphic grow superexponentially in g (see Harer & Zagier [22] for the calculation of the Euler characteristic). Thus, even though terms from lower degree cohomology groups contribute to the Grothendieck–Lefschetz sum with smaller weight, there are so many of them that they cannot a priori be treated as negligible compared with the top-degree contributions.

Despite this imbalance, we can still make a reasonable heuristic about what we expect the asymptotics of the Grothendieck–Lefschetz sum to be. One can classify the Frobenius eigenvalues of H*c,et of each weight w as ‘causal’ and ‘random’. The causal eigenvalues are the ones whose presence is compelled by the existence of certain algebraic cycles (in our case, the eigenvalues of the tautological classes); these eigenvalues must be integral powers of q. It is plausible to model the random eigenvalues of a given weight w by the eigenvalues of a random unitary2 matrix times qw/2. Let dg,n be the relative dimension of Mg,n over Inline graphic, which is 3g−3+n for g>1. Let bk be the number of ‘random’ eigenvalues of weight 2dg,nk (i.e. of coweight k). We have bk=0 for k≤(2g−2)/3; see theorem 3.3. For k>(2g−2)/3, if there are few eigenvalues of coweight k, e.g. bk=o(qk/2), then the weight k eigenvalues contribute nothing to the Grothendieck–Lefschetz sum in the limit as Inline graphic. On the other hand, if there are many eigenvalues of coweight k, and we model them with eigenvalues of a large random unitary matrix, we know from a result of [23] that this matrix has bounded trace with high probability. It is thus a sensible heuristic to neglect the contribution of all but the causal eigenvalues. Our neglect of the random Frobenius eigenvalues is also consistent with a commonly held philosophy in the study of moduli spaces, that no natural geometric questions depend on the non-tautological classes (e.g. Vakil [24]).

That this heuristic is sensible relies crucially on the fact that there are no random eigenvalues of large weight, which is a deep fact about the cohomology of moduli spaces of curves conjectured by Mumford and later proved using topological techniques (see §2 for references). The compactly supported étale cohomology in high degrees (or equivalently by Poincaré duality and a Betti-étale comparison isomorphism, the Betti cohomology in low degrees; see theorem 3.3) is spanned by tautological classes, i.e. classes which arise from algebraic cycles produced by canonical morphisms between moduli spaces. The prototypical example of such a class is the first Chern class of the relative dualizing sheaf of the morphism Mg,nMg,n−1 obtained by forgetting one marked point.

We may formalize our heuristic as follows. Write Inline graphic for the subspace of Inline graphic generated by tautological classes, and put Inline graphic.

Heuristic 1.2 —

As Inline graphic, only the tautological classes are asymptotically relevant to a Grothendieck–Lefschetz trace formula computation of Inline graphic. More precisely,

graphic file with name rsta20140310-e7.jpg

It is convenient for our heuristic that the tautological classes are stable. This means that for i≥2dg,n−(2g−2)/3, the groups Inline graphic (and thus the groups Inline graphic) can be described in a manner independent of g, making it particularly nice to take the limit in g. Furthermore, the number of lower degree tautological classes is sufficiently bounded that we can ignore their contribution to the Grothendieck–Lefschetz sum.

Our first main result is the following theorem.

Theorem 1.3 —

Heuristic 1.2 implies conjecture 1.1.

Our second main result establishes unconditionally a weaker version of conjecture 1.1 in which both g and q tend to infinity; this result lends some credence to conjecture 1.1. In particular, since the error term is smaller than qm for any fixed m, this result rules out any alternative conjecture in which each moment is a universal Laurent series in q−1.

Theorem 1.4 —

For any K>144, any function q(g)>gK, and any non-negative integer n, for q=q(g) we have

graphic file with name rsta20140310-e8.jpg

The key to proving theorem 1.4 is that, so long as qg, the unstable homology is negligible in the Grothendieck–Lefschetz trace computation.

It would be interesting to compute what a heuristic similar to heuristic 1.2 suggests about the average number of points on a stable curve of genus g, as Inline graphic. Our approach fails to directly yield an answer. In particular, we would seek a computation along the lines of lemma 4.1, but this is complicated by the fact that the dimensions of the tautological cohomology Inline graphic can grow exponentially in g, as Inline graphic.

In §2, we review the topological results showing that the low degree singular cohomology of Mg,n is tautological and giving a precise description of the cohomology groups. In §3, we translate these results into compactly supported étale cohomology using comparison isomorphisms and determine the effect of Frobenius. In §4, we prove theorem 1.3. In §5, we prove theorem 1.4. In §6, we outline some thoughts and questions about how a random matrix model might give evidence for or against conjecture 1.1.

2. Stability and tautological classes: singular cohomology

Let Inline graphic and Inline graphic be the underlying topological spaces of the stacks Inline graphic and Inline graphic. We begin by recalling some deep results on the stable singular cohomology of Inline graphic. These results are typically stated without marked points; we must add a bit of extra analysis to deal with the markings.

Theorem 2.1 —

For any non-negative integers g,n,i with i≤(2g−2)/3, there exists an isomorphism Inline graphic. By the universal coefficient theorem, this gives rise to an isomorphism Inline graphic.

Proof. —

This was first proved with a slightly more restrictive bound on i by Harer [25,26]. The statement as given includes results of several authors; see Wahl [27, Theorem 1.1]. ▪

The proof of this result is ultimately topological: by Teichmüller theory, one may identify Inline graphic up to homotopy with a classifying space of the mapping class group Γg,n of a compact Riemann surface (without boundary) of genus g with n marked points. One may take a homotopy limit to obtain a group Inline graphic whose group (co)homology computes the stable (co)homology of Inline graphic.

Let us now momentarily restrict attention to the case n=0. Following Mumford, we define the tautological ring to be the graded polynomial ring Inline graphic with Inline graphic. We obtain a map from R to the Chow ring of Mg as follows: let ψ be the relative dualizing sheaf of the morphism Mg,1Mg which forgets the marked point, then let κj be the push-forward of ψj+1 along Mg,1Mg.

Theorem 2.2 —

The induced map Inline graphic of graded rings is an isomorphism in degrees up to (2g−2)/3.

Proof. —

This follows from theorem 2.1 plus a theorem of Madsen and Weiss identifying R with the stable cohomology ring [28]. ▪

We now consider the effect of marked points. Define the tautological ring Rn=R[ψ1,…,ψn] with Inline graphic. We obtain a map from Rn to the Chow ring of Mg,n as follows: map κj as before, and map ψi to the relative dualizing sheaf of the morphism Mg,nMg,n−1 which forgets the ith marked point.

Theorem 2.3 —

The induced map Inline graphic of graded rings is an isomorphism in degrees up to (2g−2)/3.

Proof. —

This follows from the existence of a homotopy equivalence

graphic file with name rsta20140310-e9.jpg

as constructed in Bödigheimer & Tillmann [29, Corollary 1.2] (see also [30, Theorem 4.3]). ▪

3. Stability and tautological classes: étale cohomology

We next translate the stability of cohomology from singular cohomology to compactly supported étale cohomology, and determine the effect of Frobenius on the stable cohomology classes, in order to use the Grothendieck–Lefschetz–Behrend trace formula.

Lemma 3.1 —

Choose an embedding of Inline graphic into Inline graphic. Let Inline graphic be a smooth proper scheme over Inline graphic. Let Z be a relative normal crossings divisor on Inline graphic. Let G be a finite group acting on both Inline graphic and Z. Put Inline graphic and let X be the stack-theoretic quotient [Y/G]. Then there are functorial isomorphisms

graphic file with name rsta20140310-e10.jpg

Proof. —

In the case where G is trivial, the first isomorphism follows from [31, Proposition 4.3] and the second isomorphism follows from [32, Theorem I.11.6] (for more details, see [1, Proposition 7.5]). The general case follows from this special case by applying the Hochschild–Serre spectral sequence [33, Theorem 2.20] to write

graphic file with name rsta20140310-e11.jpg

 ▪

Lemma 3.2 —

There exist a smooth projective scheme Inline graphic over Inline graphic a relative normal crossings divisor Z on Inline graphic and a finite group G acting on both Inline graphic and Z such that for Inline graphic the stack-theoretic quotient [Y/G] is isomorphic to Inline graphic.

Proof. —

This is a consequence of the construction of [34, §7.5], in which a suitable Inline graphic is realized as the moduli space of n-pointed genus g curves with a certain non-Abelian level structure, i.e. a suitable finite Galois cover with fixed Galois group H. Note that the group H has exponent equal to the product of two arbitrary primes, and so may be forced to be coprime to p; this ensures that H-covers are tamely ramified, which allows the construction to go through over Inline graphic. (By contrast, the group G may have order divisible by p.) ▪

Put

3.

again graded by Inline graphic and Inline graphic. Equip Rn,ℓ with a Inline graphic-linear endomorphism Frob as follows:

3.

and

3.

Let Inline graphic denote the ith graded piece of the ring. For each g,n, we have a homomorphism of graded rings (with Frob action)

3. 3.1

again factoring through the Chow ring.

Theorem 3.3 —

For 0≤i≤(2g−2)/3, the homomorphism in equation (3.1) gives an isomorphism of Frobenius modules

graphic file with name rsta20140310-e16.jpg

Proof. —

Let 0≤i≤(2g−2)/3. Since the tautological classes arise from the Chow ring, they are of Tate type, so the map (3.1) is Frobenius-equivariant. By lemmas 3.1 and 3.2, given the choice of an embedding of Inline graphic into Inline graphic, there is a chain of functorial isomorphisms

graphic file with name rsta20140310-e17.jpg 3.2

Each step in the formation of the tautological classes involves either pushing forward or pulling back cohomology classes, or formation of Chern classes (which by [33, Theorem 10.3] are characterized entirely by certain maps on cohomology). Since each map in equation (3.2) is functorial, the tautological classes thus map to tautological classes. The composition is thus the isomorphism obtained from theorem 2.2 by extending scalars from Inline graphic to Inline graphic; in particular, it does not depend on the embedding of Inline graphic into Inline graphic. This means that in (3.2), the composition and all but one of the maps are isomorphisms, so the remaining one is also an isomorphism and the claim follows. ▪

Corollary 3.4 —

For 0≤i≤(2g−2)/3, the following is true.

  • (a) If i is odd, then Inline graphic.

  • (b) If i is even, then Inline graphic has Inline graphic-dimension equal to that of Inline graphic and Frob acts on it by multiplication by qdg,ni/2.

Proof. —

Since Inline graphic is smooth, we may apply Poincaré duality for étale cohomology to deduce the claim from theorem 3.3. (As in the proof of theorem 3.3, we may deduce duality for Inline graphic from duality for smooth schemes via the Hochschild–Serre spectral sequence.) ▪

In our Grothendieck–Lefschetz trace computation, we will handle different parts of the cohomology of Inline graphic in different ways. We thus define

3.

Note that, since these account for all of the cohomology of Inline graphic, we have

3. 3.3

4. Heuristic 1.2 yields conjecture 1.1

In this section, we prove theorem 1.3. We first note that heuristic 1.2 is equivalent to the assertion that

4. 4.1

Thus, to prove theorem 1.3, we need to understand the limiting behaviour of Tstableg,n,q and Tunstableg,n,q.

Let Rn be the tautological ring as defined in §2. Note that the Hilbert series (or Poincaré series) Inline graphic may be rewritten as

4.

Lemma 4.1 —

We have the following:

  • (a) Inline graphic

  • (b) Inline graphic.

Proof. —

For the first statement, we compute

graphic file with name rsta20140310-e22.jpg

Using the Hilbert series of Rn, we may then rewrite the above sum as

graphic file with name rsta20140310-e23.jpg

Note that we use the fact (from theorem 3.3) that for 0≤i≤(2g−2)/3, we have

graphic file with name rsta20140310-e24.jpg

For the second part, we let P(z) be the generating function for the partition numbers p(j), and let Inline graphic be the generating function whose jth coefficient is the number of multisets of size j on n elements. Then

graphic file with name rsta20140310-e25.jpg

In particular

graphic file with name rsta20140310-e26.jpg 4.2

Since Inline graphic is defined in terms of the image of a map from Rn to cohomology, we further obtain

graphic file with name rsta20140310-e27.jpg 4.3

Of course, when i is odd this group is zero-dimensional.

We compute

graphic file with name rsta20140310-e28.jpg

 ▪

Proof of theorem 1.3 —

By combining equations (3.3) and (4.1) and lemma 4.1 we get

graphic file with name rsta20140310-e29.jpg

 ▪

5. Proof of theorem 1.4

In contrast to the previous sections, where q was fixed, in this section we consider a case where q and g both go to infinity. We show that, so long as q goes to infinity much faster than g, then we obtain an unconditional version of conjecture 1.1.

The following lemma is the key result for this section, as it essentially shows that if qg, then the main terms in the Grothendieck–Lefschetz trace computation will come from the stable cohomology range.

Lemma 5.1 —

For any K>144 and any non-negative integer n, there exists a constant K′=K′(n)>0 such that if g>K′(n+1) and q>gK, then

graphic file with name rsta20140310-e30.jpg

Proof. —

We bound the total cohomology of Inline graphic by

graphic file with name rsta20140310-e31.jpg

For n=0, see [18, Lemma 5.1]. For general n, the bound follows from n=0 by iteratively applying the Serre spectral sequence for Inline graphic over Inline graphic.

In addition, we note that each cohomology group which arises in the calculation of Tunstableg,n,q and Ng,n,q is mixed of weight less than 2dg,n−⌊(2g−2)/3⌋. We thus have

graphic file with name rsta20140310-e32.jpg

To ensure that this is at most qdg,ng/6, it suffices to take q satisfying

graphic file with name rsta20140310-e33.jpg

which would in turn follow from

graphic file with name rsta20140310-e34.jpg

Since K>144, for any sufficiently small ϵ>0 we can choose K′ such that for g>K′(n+1) and q>gK,

graphic file with name rsta20140310-e35.jpg

and

graphic file with name rsta20140310-e36.jpg

This proves the claim. ▪

Proof of theorem 1.4 —

We combine equation (3.3) and lemmas 4.1 and 5.1 to compute

graphic file with name rsta20140310-e37.jpg

 ▪

6. Connections to random matrix models

Since much previous intuition about the behaviour of random curves has come from the world of random matrix models, we would like to close with an invitation to the random matrix theory community to come up with evidence in favour of or opposed to conjecture 1.1. Let us say a few words about how this might be possible.

When q is large compared with g, one typically models the behaviour of the zeta function of a random curve C of genus g over Inline graphic by positing that the normalized characteristic polynomial of Frobenius behaves like that of a random matrix M in the unitary symplectic group USp(2g). Equivalently, the sequence of point counts Inline graphic has the same distribution as Inline graphic.

This model fails to apply in the case of fixed q for three different reasons.

  • — Discreteness. For n a positive integer, because Inline graphic, one must insist that Inline graphic.

  • — Positivity. Because Inline graphic, one must insist that q+1−q1/2Tr(M)≥0.

  • — More positivity. For n1,n2 two positive integers, because Inline graphic, one must insist that qn1n2+1−qn1n2/2Tr(Mn1n2)≥qn1+1−qn1/2Tr(Mn1).

It seems unlikely that the statistics for such restricted random matrices can be computed in closed form, even in the limit as Inline graphic. However, it may be feasible to make numerical experiments for particular values of q and g to see how they compare to the predictions made by conjecture 1.1.

Acknowledgements

This project was started at the AIM workshop ‘Arithmetic statistics over number fields and function fields’ (27–31 January 2014). Thanks also to Dan Abramovich, Jordan Ellenberg, Martin Olsson, Aaron Pixton and Ravi Vakil for helpful discussions.

Footnotes

1

The corresponding question over a number field is also central in arithmetic statistics, but has a rather different flavour. See Ho [3] for a comprehensive survey.

2

In middle cohomology, it is more natural to use a random unitary symplectic matrix or a random Hermitian matrix instead, but the same discussion applies to these models.

Funding statement

J.D.A. was supported by Simons Foundation grant no. 204164 and NSA grant no. H98230-14-1-0161. D.E. was supported by NSF grant no. DMS-1302057. K.S.K. was supported by NSF grant no. DMS-1101343; he also thanks MSRI for its hospitality during autumn 2014 as supported by NSF grant no. DMS-0932078. M.M.W. was supported by the American Institute of Mathematics and NSF grant nos. DMS-1147782 and DMS-1301690.

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