CHIP-FIRING GAMES JACOBIANS AND PRYM V ARIETIES YOAV LEN Abstract . We present a self-contained introduction to the theory of chip-firing games on metric

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CHIP-FIRING GAMES, JACOBIANS, AND PRYM VARIETIES
YOAV LEN
Abstract. We present a self-contained introduction to the theory of chip-firing games on metric
graphs, as well as the more recent theory of tropical Prym varieties. We briefly discuss the connec-
tion between these notions and their algebraic counterparts and suggest various avenues for future
research.
Contents
1. Introduction 2
Acknowledgements 3
2. Chip-firing on metric graphs 3
2.1. Metric graphs 3
2.2. Divisors and chip-firing 4
2.3. How to actually compute linear equivalence 5
2.4. Reduced divisors and Dhar’s burning algorithm 6
3. The rank of divisors 8
3.1. A bit of Brill–Noether theory 10
4. The structure of the tropical Jacobian 12
4.1. The Abel–Jacobi map 12
4.2. Jacobians and real tori 14
5. Double covers and Prym varieties 16
5.1. Harmonic covers 16
5.2. Prym varieties 18
5.3. Prym–Brill–Noether theory 21
6. The structure of Prym varieties 21
Appendix A. Chip-Firing Exercises 25
Appendix B. Rank exercises 27
Appendix C. Double covers and Pryms exercises 28
Appendix D. Open problems 30
References 31
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arXiv:2210.14060v2 [math.AG] 31 Oct 2024
1. Introduction
These notes originate from the Cambridge summer school on combinatorial algebraic geom-
etry in September 2022. They cover chip-firing games, tropical Jacobians, and tropical Prym
varieties, with a light introduction to Brill–Noether theory. The prerequisites are basic knowl-
edge in graph theory and familiarity with standard concepts such as groups, quotient spaces,
topological spaces, and metric spaces. Background in algebraic geometry is not necessary, how-
ever, familiarity with the topic would help motivate some of the notions encountered in the
course, as many of whom originate from algebraic geometry.
The theory of tropical chip-firing games is the combinatorial version of the theory of divisors
on algebraic curves. The role of the curves and their divisors is played by graphs and configura-
tions of playing-chips. In its original form, the game was played on discrete graphs. However, it
is advantageous to pass to a continuous version of the game, played on metric graphs, as it better
approximates the algebraic theory and is more suitable for problems involving moduli spaces.
Furthermore, while some definitions may seem more complicated, the continuous version tends
to produce nicer and more elegant results. That should not be too surprising when comparing
with other areas of maths.
The tropical theory is not merely an analogue of the algebraic theory. A process known as
tropicalization turns an algebraic curve into a graph whose combinatorial invariants encode var-
ious geometric properties of the curve. Most notably, Baker’s specialization lemma states that
the rank of divisors may only increase under this process [Bak08], an observation at the heart of
various recent developments in the geometry of curves [JR21,FJP20,CLRW20,AP21].
The latter half of these notes is dedicated to Jacobians and Prym varieties, both of which are
abelian groups that classify divisors on curves or graphs. While the Jacobian classifies divisors
on a single object, the Prym variety is associated with a double cover and classify divisors that
behave nicely with respect to the double cover. The precise definition for graphs is given in
Section 5.2 and the definition for algebraic curves is analogous.
From the perspective of the curves themselves, the Prym variety is an invariant that provides
additional data and another method for probing them. From a broader perspective, Prym vari-
eties provide a fruitful source of abelian varieties that can be parameterized and examined by
looking at curves. While Jacobians are very well understood, they only account for a 3g 3
dimensional locus in the moduli space of abelian varieties of dimension g, which is of dimension
g+1
2. Prym varieties account for a 3g-dimensional locus, which is a vast improvement. Further-
more, the Jacobian locus is contained in the closure of the Prym locus so, in a sense, we can view
Prym varieties as a generalization of Jacobians.
The fact that "there are more Pryms than Jacobians" can be used to establish structural results
on the moduli space of abelian varieties. For instance, in dimension 5, the numbers g+1
2and
3g coincide, so Prym varieties are full-dimensional in A5. A close examination of the geometry
of Prym varieties then leads to the conclusion that the space A5is uniruled [Don84, Theorem
3.3]. On a different note, the intermediate Jacobian of a smooth Fano 3-fold Xis a Prym variety
[Far11, Section 3.2], and Xis rational iff it is an actual Jacobian. Clemens and Griffiths showed
that this Prym variety is never a Jacobian when Xis a smooth cubic threefold, thus proving
that smooth cubic threefolds are non-rational [CG72]. The fact that intermediate Jacobians are
Prym varieties is also used by Sacca, Laza, and Voisin in [LSV17] to construct and compactify
hyperkähler manifolds.
2
Figure 1. Two metric graphs having the same model
These notes are organized as follows. Section 2introduces the theory of chip-firing games on
metric graphs, as well as basic notions such as the Jacobian and reduced divisors. In Section 4
we delve deeper into the Jacobian and explore its structure. The section is recommended even
for readers familiar with metric chip-firing, as the approach taken later when discussing Prym
varieties will mirror some of the techniques used in Section 4. Section 5.2 begins the study of
Prym varieties, followed by a more meticulous study of their structure in Section 6. Some of the
proofs throughout are left as guided exercises.
Appendices A,B, and Care devoted to exercises. All but Exercise A.8d should be solvable
using only the material encountered in these notes. Exercise A.8d requires basic familiarity with
divisors on algebraic curves. Finally, Appendix Dincludes a variety of open problems whose
solution, I believe, could be publishable. Most of them should be solvable using only the material
of this course, although one cannot know for certain before actually trying to solve them.
Acknowledgements. I warmly thank Navid Nabijou and Luca Battistella for organizing the sum-
mer school and putting together a week full of wonderful mathematical interactions. I thank Vio-
leta Lopez, Margarida Melo, Sam Payne, Thomas Saillez, Remy Smith, and Dmitry Zakharov for
helpful comments on an older draft of these notes. I also thank the participants of the summer
school for many engaging questions and discussions.
2. Chip-firing on metric graphs
2.1. Metric graphs. The fundamental objects studied throughout these notes are metric graphs:
metric spaces obtained from discrete graphs by assigning a real positive length to each edge.
When an edge has length , we can identify it with the interval of length . If a metric graph Γwas
obtained from a discrete graph G, we say that Gis a model for Γ. Note that our discrete graphs are
allowed to have loops and multiple edges. Unless stated otherwise, we assume that our graphs
are connected. The genus of a graph is the number of independent cycles, or equivalently
g(Γ) = g(G) = ev+1, (1)
where eand vare the number of edges and vertices respectively, and fis the number of connected
components (note that the genus formula does not require the graph to be connected). The genus
does not depend on the choice of model or metric.
Example 2.1. The two metric graphs of genus 3shown in Figure 1both have the same minimal
model but different edge lengths. We can obtain additional models for them by considering
arbitrary points in the interior of edges as vertices.
If g(Γ)1, then Γhas a unique minimal model G0which does not include any vertices of
valency 2. In the special case where Γis just a cycle, there are infinitely many minimal models
consisting of a single vertex and a loop. We will often omit the model when clear from context.
3
Figure 2. A divisor of degree 1on a metric graph
By abuse of notation, segments of a metric graph Γmay be referred to as edges and points as
vertices.
2.2. Divisors and chip-firing. Let Γbe a metric graph. A divisor on Γis a function D:ΓZ
with finite support. We intuitively think of a divisor as assigning a finite number of playing chips
at points of the graph, where a negative number of chips is allowed. Negative chips are referred
to as anti-chips. The degree of a divisor is the total number of chips, namely řpPΓD(p). A divisor
is called effective if it is non-negative at all points of the graph.
We stress that chips may be placed anywhere on the graph, not just the vertices.
Example 2.2. Figure 2shows a metric graph with a divisor of degree 1. We will often use
full disks to represent a positive number of chips, whereas empty circles represent anti-chips.
When the number of chips is not mentioned, a disk represents a single chip and an empty circle
represents a single anti-chip.
The set of divisors forms an abelian group via addition, denoted Div(Γ). There is a partial
ordering on this set given by D1ěDwhenever D1(p)ěD(p)at every point p. In particular,
a divisor Dis effective if and only if Dě0. The subset of Div(Γ)consisting of divisors of
degree dis denoted Divd(Γ). Note that Divd(Γ)is a group when d=0and only a torsor of
Div0(Γ)otherwise. There is a non-canonical bijection between Divd(Γ)and Div0(Γ)given by
DÞDd¨p, where pis any point of Γ.
We will now define a certain equivalence relation on divisors that reflects the geometry of the
graph (secretly, we also want it to mimic linear equivalence from algebraic geometry). Let
φ:ΓR
be a continuous piecewise linear function with integer slopes. Then φinduces a divisor div(φ)
where the value of div(φ)(p)at a point pis the sum of incoming slopes of φat p. In other words,
given a point pconsider all the intervals emanating from p. Since φis piecewise linear, those
intervals can be chosen small enough so that φhas a constant slope on each of them. We now
take the sum of those slopes oriented towards p.
Example 2.3. For the leftmost graph of Figure 3, let φbe the function that is constantly 0to the
left of u, has slope 1on the segment between uand v, and constant value φ(v)for any xto the
right of v. Then div(φ) = vu.
For the graph in the middle of the figure, let ψbe the function whose value is 0on the
segment between aand b, slope 1on the segment from ato dand on the segment from bto c,
and is constant on the segment between cand d(note that the function is continuous and well
4
Figure 3
defined because the segments between aand dand between band chave the same length). Then
div(ψ) = d+cba.
Finally, for the rightmost graph, let ηbe the function whose value is 0at δ, has slope 1on
the segments leading to the outer circle, and is constant on the outer circle. Then div(η) =
α+β+γ.
A divisor of the form div φis called principal. Divisors Dand D1are said to be linearly
equivalent, denoted D»D1, if DD1=div φfor some φ. The set of principal divisors is denoted
Prin(Γ). Note that every principal divisor has degree 0. The linear system of D, denoted |D|, is the
set of effective divisor equivalent to it, namely |D|={EPDiv(Γ)|Eě0, E »D}.
Modding out the group of divisors by linear equivalence gives rise to the Picard group of the
graph, namely,
Pic(Γ) = Div(Γ){Prin(Γ).
For any integer d, we have a group Picd(Γ) = Divd(Γ){Prin(Γ)which classifies divisor classes of
degree d. In the special case where d=0, the Picard group is known as the Jacobian Jac(Γ). Note
that for a fixed point pand an integer d, we have Dd¨p»D1d¨pwhenever D»D1. As a
result, there is a bijection between the Jacobian and each Picard group Picd(Γ).
Example 2.4. Let Λbe a line segment and let D=a1v1+¨ ¨ ¨ akvkbe a divisor of degree 0, where
the viare distinct points arranged from left to right. Let φbe the piecewise linear function whose
slope is 0 to the left of v1and increases by aiat every point vi. Then div(φ) = D(the fact that
deg(D) = 0was used so the the slope of φis 0 to the right of vk). In particular, each divisor
of degree 0on this graph is principal and Jac(Λ) = {0}. Note that the only effective divisor
equivalent to Dis the 0divisor, so the linear system of Dis |D|={0}.
2.3. How to actually compute linear equivalence. As we saw in Example 2.3, on a cycle graph,
moving two chips in opposite directions at equal speed results in equivalent divisors. This
phenomena can be generalized. Suppose that a divisor D1is obtained from a divisor Dby
continuously moving chips, as long as the following condition is maintained throughout the
process:
The total momentum of the chips moving along each cycle of the graph is 0. ()
Then Dand D1are linearly equivalent.
Example 2.5. Suppose that Γhas a bridge (for instance, Γcould be the graph in Figure 1) and p
and p1are points in its interior. Then p»p1. Indeed, since there is no cycle containing either p
or p1, condition is vacuously true. Similarly, if Tis a tree, then any two divisors of the same
degree are linearly equivalent.
5
摘要:

CHIP-FIRINGGAMES,JACOBIANS,ANDPRYMVARIETIESYOAVLENAbstract.Wepresentaself-containedintroductiontothetheoryofchip-firinggamesonmetricgraphs,aswellasthemorerecenttheoryoftropicalPrymvarieties.Webrieflydiscusstheconnec-tionbetweenthesenotionsandtheiralgebraiccounterpartsandsuggestvariousavenuesforfutur...

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