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famnit lectures

famnitova predavanja

■ 2

PhD Summer School

in Discrete Mathematics

Marston Conder ■ Edward Dobson ■ Tatsuro Ito

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PhD Summer School in Discrete Mathematics

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Famnit Lecturs | Famnitova predavanja | 2

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PhD Summer School

in Discrete Mathematics

Marston Conder

Edward Dobson

Tatsuro Ito

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Famnit Lectures 2 | ISSN 2335-3708

PhD Summer School in Discrete Mathematics Dr Marston Conder, University of Auckland, New Zealand Dr Edward T. Dobson, Mississippi State University, USA,

and University of Primorska, Slovenia Dr Tatsuro Ito, Kanazawa University, Japan

Published by

University of Primorska Press, Titov trg 4, 6000 Koper Koper · 2013

Editor-in-Chief Dr Jonatan Vinkler Managing Editor Alen Ježovnik

@ 2013 University of Primorska Press www.hippocampus.si

Print run· 50 ·Not for sale

CIP – Kataložni zapis o publikaciji

Narodna in univerzitetna knjižnica, Ljubljana 519.17(0.034.2)

CONDER, Marston D. E.

Phd summer school in discrite mathematics [Elektronski vir] / Marston Conder, Edward Dobson, Tatsuro Ito. – El. knjiga. - Koper : University of Primorska Press, 2013. – (Famnit lectures = Famnitova predavanja, ISSN 2335-3708 ; 2)

Način dostopa (URL): http://www.hippocampus.si/ISBN/978-961-6832-62-5.pdf Način dostopa (URL): http://www.hippocampus.si/ISBN/978-961-6832-63-2.html ISBN 978-961-6832-62-5 (pdf)

ISBN 978-961-6832-63-2 (html)

1. Dobson, Edward, 1965– 2. Ito, Tatsuro 271775744

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Preface

This is a collection of lecture notes of the PhD Summer School in Discrete Mathemat- ics, held from June 16 to June 21, 2013, by tradition at Rogla, Slovenia. The organization of this summer school came as a combined effort the Faculty of Mathematics, Natural Sciences and Information Technologies and the Andrej Marušiˇc Institute at the Univer- sity of Primorska, and the Centre for Discrete Mathematics at the Faculty of Education at the University of Ljubljana.

The Scientific Committee of the meeting consisted of Klavdija Kutnar, Aleksander Malniˇc, Dragan Marušiˇc, Štefko Miklaviˇc and Primož Šparl. The Organizing Committee of the meeting consisted of Ademir Hujdurovi´c, Boštjan Frelih and Boštjan Kuzman.

The aim of this Summer School was to bring together senior researchers, junior re- searches and PhD students working in Algebraic Graph Theory. The summer school has consisted of three minicourses given by

Prof. Marston Conder, University of Auckland, New Zealand,

Prof. Edward T. Dobson, Mississippi State University, USA & UP, Slovenia, and

Prof. Tatsuro Ito, Kanazawa University, Japan.

i

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Contents

Index of Figures iii

1 M. D. E. Conder: Graph Symmetries 1

1.1 Introduction to Symmetries of Graphs . . . 3

1.2 Vertex-transitive and Arc-transitive Graphs . . . 5

1.3 s-arc-transitivity (and Theorems of Tutte and Weiss) . . . 7

1.4 Proof of Tutte’s Theorem on Symmetric Cubic Graphs . . . 10

1.5 Amalgams and Covers . . . 14

1.6 Some Recent Developments . . . 16

1.7 Selected References . . . 18

2 E. Dobson: Imprimitive Permutation Groups 21 2.1 Introduction . . . 23

2.2 Basic Results on Imprimitive Groups . . . 23

2.3 Notions of “Sameness" of Permutation Groups . . . 27

2.4 An Example of Inequivalent Actions: The Automorphism Group of the Heawood Graph . . . 29

2.5 The Embedding Theorem . . . 30

2.6 A Graph Theoretic Tool . . . 34

2.7 Basic Definitions Concerning Graphs . . . 35

2.8 An Application to Graphs . . . 37

2.9 A General Strategy for Analyzing Imprimitive Permutation Groups . . . 38

2.10 Further Reading . . . 41

2.11 Selected References . . . 41 3 T. Ito: Leonard pairs and theq-Racah polynomials 43

iii

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List of Figures

2.1 The Petersen graph. . . 24

2.2 The Heawood graph labeled with the lines and hyperplanes of32 . . . 29

2.3 Γ1Γ2. . . 31

2.4 C8 . . . 31

2.5 C8K¯2 . . . 31

2.6 The Cayley graph Cay(10,{1, 3, 7, 9}). . . 35

v

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Chapter 1

Graph Symmetries

Prof. Marston Conder

University of Auckland, New Zealand

SUMMARY

Introduction to symmetries of graphs

Vertex-transitive and arc-transitive graphs

•s-arc-transitivity (including theorems of Tutte and Weiss)

Proof of Tutte’s theorem on symmetric cubic graphs

Use of amalgams and covers to analyse and construct examples

Some recent developments

1

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M. D. E. Conder: Graph Symmetries 3

1.1 Introduction to Symmetries of Graphs

Generally, an object is said to havesymmetryif it can betransformed in way that leaves it looking the same as it did originally.

Automorphisms: Anautomorphism(orsymmetry) of a simple graphX= (V,E)is a per- mutation of the vertices ofXwhich preserves the relation of adjacency; that is, a bijection

π:V→V such that{vπ,wπ} ∈E if and only if{v,w} ∈E.

Under composition, the automorphisms form a group, called theautomorphism group (orsymmetry group) ofX, and this is denoted by Aut(X), or AutX.

Examples

(a) Complete graphs and null graphs: AutKn=AutNn=Sn for alln. (b) Simple cycles: AutCn=Dn(dihedral group of order 2n) for alln≥3.

(c) Simple paths: AutPn=S2 for alln≥3.

(d) Complete bipartite graphs: AutKm,n=Sm×Sn whenm=n, while AutKn,n=Sn S2= (Sn×Sn)S2 (whenm=n).

(e) Star graphs – see above: AutK1,n=Sn for alln>1.

(f ) Wheel graphs (cycleCn−1plusnth vertex joined to all): AutWn=Dn−1 for alln≥5.

(g) Petersen graph: AutP=S5.

Exercise 1: How many automorphisms has the underlying graph (1-skeleton) of each of the five Platonic solids: the regular tetrahedron, cube, octahedron, dodecahedron and icosahedron?

Exercise 2: Find a simple graph on 6 vertices that has exactly one automorphism.

Exercise 3: Find a simple graph that has exactly three automorphisms. What is thesmall- estsuch graph?

Exercise 4: For largen, do ‘most’ graphs of ordernhave a large automorphism group?

or just the identity automorphism?

One amazing fact about graphs and groups isFrucht’s theorem: in 1939, Robert(o) Frucht proved that given any finite groupG, there exist infinitely many connected graphsXsuch that AutX is isomorphic toG. And then later, in 1949, he proved thatX may be chosen to be 3-valent. There are several variants and generalisations of this, such as regular rep- resentations for graphs and digraphs (GRRs and DRRs).

The simple graphs of ordern with the largest number of automorphisms are the null graphNnand the complete graphKn, each with automorphism groupSn(the symmet- ric group onn symbols). For non-null, incomplete graphs of bounded valency (vertex degree), the situation is more interesting.

In this course of lectures, we will devote quote a lot of attention to the case of regular graphs of valency 3, which are often calledcubic graphs.

Exercise 5: For eachn∈ {4, 6, 8, 10, 12, 14, 16}, which 3-valent connected graph onnver- tices has the largest number of automorphisms?

For fixed valency, some of the graphs with the largest number of automorphisms do not

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4 1.1 Introduction to Symmetries of Graphs

look particularly nice, or do not have other good properties (e.g. strength/stability, or suitability for broadcast networks). The ‘best’ graphs possess special kinds of symmetry.

Transitivity: A graphX= (V,E)is said to be

vertex-transitiveif AutXhas a single orbit on the vertex-setV;

edge-transitiveif AutXhas a single orbit on the edge-setE;

arc-transitive(orsymmetric) if AutX has a single orbit on the arc-set (that is, the setA={(v,w)| {v,w} ∈E}of all ordered pairs of adjacent vertices);

distance-transitiveif AutXhas a single orbit on each of the sets{(v,w)|d(v,w) = k}fork=0, 1, 2, . . . ;

semi-symmetricifXis edge-transitive but not vertex-transitive;

half-arc-transitiveifXis vertex-transitive and edge-transitive but not arc-transitive.

Examples

(a) Complete graphs:Knis vertex-transitive, edge-transitive, arc-transitive and distance- transitive.

(b) Simple cycles: Cn is vertex-transitive, edge-transitive, arc-transitive and distance- transitive.

(c) Complete bipartite graphs:Km,nis edge-transitive, but is vertex-transitive (and arc- transitive and distance-transitive) only whenm=n.

(d) Wheel graphs:Wnis neither vertex-transitive nor edge-transitive (forn≥5).

(e) The Petersen graph is vertex-transitive, edge-transitive, arc-transitive and distance- transitive.

Note thatevery vertex-transitive graph is regular(in the sense of having all vertices of the same degree/valency), since for any two verticesvandw, there is an automorphism θtakingvtow, and thenθtakes the edges incident withvto the edges incident withw. On the other hand, not every edge-transitive graph is regular: counter-examples include allKm,nform =n. But there exist graphs that are edge-transitive and regular but not vertex-transitive. One example is the smallest semi-symmetric cubic graph, called the Gray graph(discovered by Gray and re-discovered later by Bouwer), on 54 vertices. The smallest semi-symmetric regular graph is theFolkman graph, which is 4-valent on 20 vertices.

Also note that every arc-transitive connected graph without isolated vertices is both vertex- transitive and edge-transitive, but the converse does not hold. Counter-examples are half-arc-transitive. The smallest half-arc-transitive graph is theHolt graph, which is a 4-valent graph on 27 vertices. There are infinitely many larger examples.

Exercise 6: LetX be ak-valent graph, wherek is odd (sayk =3). Show that ifX is both vertex-transitive and edge-transitive, then alsoX is arc-transitive. [Harder ques- tion: does the same thing always happen whenkis even?]

Exercise 7: Prove that every semi-symmetric graph is bipartite.

Exercise 8: Every distance-transitive graph is arc-transitive. Can you find an arc-transitive

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M. D. E. Conder: Graph Symmetries 5

graph that is not distance-transitive?

s-arcs: Ans -arcin a graphX= (V,E)is a sequence(v0,v1, . . . ,vs)of vertices ofXin which any two consecutive vertices are adjacent and any three consecutive vertices are distinct, that is, {vi−1,vi} ∈E for 1≤i≤s and vi−1=vi+1 for 1≤i<s. The graphX = (V,E)is calleds -arc-transitiveif AutXis transitive on the set of alls-arcs inX.

Examples

(a) Simple cycles:Cniss-arc-transitive for alls≥0, whenevern≥3.

(b) Complete graphs:Knis 2-arc-transitive, but not 3-arc-transitive, for alln≥3.

(c) The complete bipartite graphKn,nis 3-arc- but not 4-arc-transitive, for alln≥2.

(d) The Petersen graph is 3-arc-transitive, but not 4-arc-transitive.

(e) The Heawood graph (the incidence graph of the projective plane of order 2) is 4-arc- transitive, but not 5-arc-transitive.

Exercise 9: For each of the five Platonic solids, what is the largest value ofssuch that the underlying graph (1-skeleton) iss-arc-transitive?

Exercise 10: LetX be ans-arc-transitived-valent connected simple graph. Find a lower bound on the order of the stabiliser in AutXof a vertexv∈V(X), in terms ofsandd. Sharp transitivity (‘regularity’): A graphX= (V,E)is said to be

vertex-regularif the action of AutXon the vertex-setV is regular (that is, for every ordered pair(v,w)of vertices, there is auniqueautomorphism takingvtow);

edge-regularif the action of AutXon the edge-setEis regular;

arc-regularif the action of AutXon the arc-setAis regular;

s -arc-regularif the action of AutXon the set ofs-arcs ofX is regular.

The same terminology applies to actions of a subgroup of AutXonX. For example,Cay- ley graphs(which will be encountered soon) are precisely the graphs that admit a vertex- regular group of automorphisms ... and possibly other automorphisms as well.

Important note: The term ‘distance regular’ means something quite different – a graph X is calleddistance regularif for allj andk, it has the property that for any two ver- ticesvandw at distancej from each other, the number of vertices adjacent towand at distancekfromvis a constant (depending only onj andk, and not onvandw).

1.2 Vertex-transitive and Arc-transitive Graphs

LetX be a vertex-transitive graph, with automorphism groupG, and letH be the sta- biliser of any vertexv, that is, the subgroupH =Gv ={g ∈G |vg =v}. Let us also assume thatXis not null, and hence that every vertex ofXhas the same positive valency.

SinceG is transitive onV =V(X), we may label the vertices with the right cosets ofH inG such that each automorphism g ∈G takes the vertex labelledH to the vertex la- belledH g— that is, the action ofG onV(X)is given by right multiplication on the coset space(G:H) ={H g:g∈G}.

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6 1.2 Vertex-transitive and Arc-transitive Graphs

Next,defineD={g∈G|vg is adjacent tov}={g∈G| {v,vg} ∈E(X)}. Then:

Lemma 2.1:

(a)D is a union of double cosets Ha H of H in G (b)D is closed under taking inverses

(c)vxis adjacent to vyin X if and only if x y−1∈D

(d)The valency of X is the number of right cosets H g contained in D (e)X is connected if and only if D generates G .

PROOF.

(a) Ifa D then for allh,h H we havevha h =va h = (va)h, which is the image of a neighbour ofv under an automorphism fixingv, and hence a neighbour ofv, so ha h ∈D. ThusHa H⊆Dwhenevera ∈D, and soDis the union of all such double cosets ofH.

(b) Ifa∈Dthen{va,v} ∈E(X), and hence{v,va−1}={va,v}a−1∈E(X), soa−1∈D.

(c){vy,vx} ∈E(X) ⇔ {v,vx y−1}y∈E(X) ⇔ {v,vx y−1} ∈E(X) x y−1∈D.

(d) By vertex-transitivity, the valency ofXis the number of neighbours ofv. These neigh- bours are all of the formva fora ∈D, and ifva =va fora,a ∈D thenvaa−1 =v so a a−1∈GV=H, or equivalently,a ∈Ha, and conversely, ifa =ha whereh∈H, then va =vha=va. Hence this valency equals the number of right cosets ofHcontained in D.

(e) Neighbours ofvare of the formva wherea∈D, and their neighbours are of the form vaa wherea,a ∈D. By induction, vertices at distance at mostkfromvare of the form vakak−1...a2a1whereai∈Dfor 1≤i≤k. It follows thatXis connected if and only if every vertex can be written in this form (for somek), or equivalently, if and only if every ele-

ment ofGcan be written as a product of elements ofD.

Lemma 2.2:X is arc-transitive if and only if the stabiliser H of a vertex v of X is transitive on the neighbours of v .

PROOF. IfXis arc-transitive, then for any two neighboursw andw ofv, there exists an automorphismg ∈G taking(v,w)to(v,w ). Any suchg lies inGv, and takesw tow , and it follows thatGvis transitive on the setX(v)of all neighbours ofv. Conversely, sup- pose thatH=Gvis transitive onX(v). Then for any arcs(v,w)and(v,w ), someg∈G takesvtov, and if the pre-image ofw undergisw , then also someh∈Gvtakeswto w . From these it follows that(v,w)h g= (v,w )g= (v,w ). ThusXis arc-transitive.

Lemma 2.3:X is arc-transitive if and only if D=Ha H for some a∈G\H , indeed if and only if D=Ha H for some a∈G such that a∈H but a2∈H .

PROOF. By Lemma 2.1, we know thatXis arc-transitive if and only ifH=Gvis transitive on the neighbours ofv, which occurs if and only if every neighbour ofv is of the form whfor somew∈X(v)and someh∈Gv=H. By takingva=w, we find the equivalent condition thatD=Ha Hfor somea∈G\H.

For the second part, note thata−1∈D=Ha H, soa−1=ha h for someh,h ∈H. But thena ha= (h)−1, so(a h)2= (h)−1h∈H, and alsoH(a h)H=Ha hH=Ha H=D, so we

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M. D. E. Conder: Graph Symmetries 7

can replaceabya hand then assume thata2∈H(and stilla∈H).

Constructions: The observations in the preceding lemmas can be turned around to pro- duceconstructionsfor vertex-transitive and arc-transitive graphs, as follows.

LetG be any group,Hany subgroup ofG, andDany union of double cosets ofG such thatH∩D=, andDis closed under taking inverses.[Note: there is also a construction for vertex-transitive digraphs that does not assumeDis inverse-closed.]

Nowdefinea graphX =X(G,H,D)by takingV =V(X)to be the right coset space(G : H) ={H g :g∈G}, andE=E(X)to be the set of all pairs of the form{Hx,Ha x}where a∈Dandx∈G. [This construction is due to Sabidussi (1964)]

The adjacency relation is symmetric, sinceHx=Ha(a−1x), and so this is an undirected simple graph. Also right multiplication gives an action ofG onX, withg∈G taking a vertexHx to the vertexHx g, and an edge{Hx,Ha x}to the edge{Hx g,Ha x g}. This action is transitive on vertices, sincegtakesHtoH g for anyg∈G. The stabiliser of the vertexHis{g∈G|H g=H}, which is the subgroupHitself (sinceH g=Hif and only if g∈H). Valency and connectedness are as in Lemma 2.1.

Note, however, that the action ofG onX(G,H,D)need not be faithful: the kernelK of this action is thecoreofH(the intersection of all conjugatesg−1H gofH) inG. Similarly, the groupG/Kinduced onX(G,H,D)need not be the full automorphism group AutX; it is often possible that the graph admits additional automorphisms.

Cayley graphs: Given a groupGand a setDof elements ofG, theCayley graphCay(G,D) is the graph with vertex-setG, and edge set{{x,a x}:x∈G,a ∈D}. Note that this is a special case of the above, withH={1}.

In particular, Cay(G,D)is vertex-transitive, and the groupGacts faithfully and regularly on the vertex-set, but is not necessarily the full automorphism group. For example, acir- culant(which is a Cayley graph for a cyclic group) can often have more than just simple rotations. Similarly, then-dimensional hypercubeQn is the Cayley graph Cay(2n,B) whereB is the standard basis (of elementary vectors) for2n, but AutQn =2Sn = 2nSn.

1.3 s -arc-transitivity (and Theorems of Tutte and Weiss)

As defined earlier, ans -arcin a graphX is a sequence(v0,v1, . . . ,vs)ofs+1 vertices of X in which any 2 consecutive vertices are adjacent and any 3 consecutive vertices are distinct. The graphXis calleds -arc-transitiveif AutXis transitive on thes-arcs inX. Lemma 3.1:Let X be a vertex-transitive graph of valency k>2, and let G=AutX . Then X is2-arc-transitive if and only if the stabiliser Gv of a vertex v is2-transitive on the k neighbours of v .

PROOF. IfX is 2-arc-transitive, then for any two ordered pairs(u1,w1)and(u2,w2)of neighbours ofv, some automorphismg∈G takes the 2-arc(u1,v,w1)to the 2-arc

(u2,v,w2),

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8 1.3s-arc-transitivity (and Theorems of Tutte and Weiss)

in which caseg fixesvandgtakes(u1,w1)to(u2,w2); henceGv is 2-transitive on the neighbourhoodX(v). Conversely, supposeGv is 2-transitive onX(v), and let(u,v,w) and(u ,v,w )be any two 2-arcs inX. Then by vertex-transitivity, some g ∈G takes v tov, and then ifg takesu tou andw tow , say, then someh∈Gv takes(u,v) to(u ,v ), in which case(u,v,w)h g−1= (u ,v,w )g−1 = (u ,v ,w ); henceX is 2-arc-

transitive.

Exercise 11: For a vertex-transitive graphX of valency 3, what are the possibilities for the permutation group induced onX(v)by the stabiliserGv inG=AutX of a vertexv?

Which of these correspond to arc-transitive actions?

Exercise 12: For an arc-transitive graphXof valency 4, what are the possibilities for the permutation group induced onX(v)by the stabiliserGvinG=AutXof a vertexv?

Lemma 3.2:Let X be a vertex-transitive graph of valency k>2, and let G=AutX . Then X is(s+1)-arc-transitive if and only if X is s -arc-transitive and the stabiliser Gσof an s -arc σ= (v0,v1, . . . ,vs)is transitive on X(vs)\{vs−1}(the set of k−1neighbours of vsother than vs−1).

PROOF. IfXis(s+1)-arc-transitive, then for anys-arcσ= (v0,v1, . . . ,vs)and any vertices wandw inX(vs)\{vs−1}, some automorphismg∈Gtakes the(s+1)-arc(v0,v1, . . . ,vs,w) to the(s+1)-arc(v0,v1, . . . ,vs,w ), in which caseg fixesσ, andgtakesw tow ; hence Gσis transitive onX(vs)\ {vs−1}. Conversely, supposeGσis transitive onX(vs)\ {vs−1}, and let(v0,v1, . . . ,vs,vs+1)and(w0,w1, . . . ,ws,ws+1)be any two(s+1)-arcs inX. Then by s-arc-transitivity, someg∈G takes(v0,v1, . . . ,vs)to(w0,w1, . . . ,ws), and then ifgtakes ws+1tow , say, then someh∈Gσtakesvs+1tow , in which case

(v0,v1, . . . ,vs,vs+1)h g−1= (v0,v1, . . . ,vs,w )g−1= (w0,w1, . . . ,ws,ws+1);

henceXis(s+1)-arc-transitive.

The simple cycleCn(which has valency 2) iss-arc-transitive for alls≥0, as is the union of more than one copy ofCn. This case is somewhat exceptional. Fork>2, there is an upper bound on values ofs for which there exists a finites-arc-transitive graph of va- lencyk, as shown by the theorems of Tutte and Weiss below.

The first theorem, due to W.T. Tutte, is for valency 3, and will be proved in Section 4. On the other hand, the second theorem, due to Richard Weiss, is for arbitrary valencyk≥3, but its proof is much more difficult, and is beyond the scope of this course.

Theorem 3.3[Tutte, 1959]:Let X be a finite connected arc-transitive graph of valency3.

Then X is s -arc-regular(and so|AutX|=3·2s−1·|V(X)|)for some s≤5. Hence in particular, there are no finite6-arc-transitive cubic graphs.

The upper bound onsin Tutte’s theorem is sharp; in fact, it is attained by infinitely many graphs, although these graphs are somewhat rare. The smallest example is given below.

Tutte’s 8-cage: This is the smallest 3-valent graph of girth 8, and has 30 vertices. It can be constructed in many different ways. One way is as follows:

In the symmetric groupS6, there are(62) =15 transpositions (2-cycles), and 5·3·1=15 triple transpositions (sometimes calledsynthemes). Define a graphTby taking these 30

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M. D. E. Conder: Graph Symmetries 9

permutations as the vertices, and joining each triple transposition(a,b)(c,d)(e,f)by an edge to each of its three transpositions(a,b),(c,d)and(d,e).

The resulting graphT isTutte’s 8-cage. It is 3-valent, bipartite and connected, and the groupS6induces a group of automorphisms ofTby conjugation of the elements.

Exercise 13: Write down the form of a typical 5-arc(v0,v1, . . . ,v5)in Tutte’s cageT with initial vertexv0being a transposition(a,b). Use this to prove that (a) the groupS6is tran- sitive on all such 5-arcs, and (b)Tis not 6-arc-transitive.

Exercise 14: Prove that the girth (the length of the smallest cycle) of Tutte’s 8-cage is 8.

Now the groupS6is somewhat special among symmetric groups in that AutS6is twice as large asS6. In fact,S6admits anouter automorphismthat interchanges the 15 trans- positions with the 15 triple transpositions, and interchanges the 40 3-cycles with the 40 double 3-cycles(a,b,c)(d,e,f). Any such outer automorphism reverses a 5-arc in Tutte’s 8-cage, and it follows that Tutte’s 8-cage is 5-arc-transitive.

Note that Tutte’s theorem actually puts a bound on the order of the stabiliser of a vertex (in the automorphism group of a finite symmetric 3-valent graph). The same thing does not hold for 4-valent symmetric graphs, as shown by the following.

Necklace/wreath graphs: Take a simple cycleCn, wheren 3, with vertices labelled 0, 1, 2, . . . ,n1 in cyclic order, and then replace every vertex j by a pair of verticesuj

andvj, and join every suchuj and every suchvj by an edge to each of the four ver- ticesuj−1,vj−1,uj+1andvj+1, with addition and subtraction of subscripts taken mod- ulon. The resulting 4-valent graph (called a ‘necklace’ or ‘wreath’ graph) has 2n ver- tices, and is arc-transitive, with automorphism group isomorphic to the wreath product S2Dn= (S2)nDn. In particular, the stabiliser of any vertex has order 2n, which is un- bounded.

Exercise 15: What is the largest value ofsfor which the above graph (on 2n vertices) is s-arc-transitive?

It is also worth noting here that vertex-stabilisers are bounded for the automorphism groups of maps. Amapis an embedding of a connected graph or multigraph on a sur- face, dividing the surface into simply-connected regions, called thefacesof the map. By definition, an automorphism of a mapM preserves incidence between vertices, edges and faces ofM, and it follows that if a vertexv has degreek, then the stabiliser ofv in AutM is a subgroup of the dihedral groupDk. The most highly symmetric maps are calledrotary, orregular.

Theorem 3.4[Weiss, 1981]:Let X be a finite connected s -arc-transitive graph of valency k≥3. Then s7, and if s=7then k=3t+1for some t . Hence in particular, there are no finite8-arc-transitive graphs of valency k whenever k>2.

As with Tutte’s theorem, the upper bound onsin Weiss’s theorem is sharp. In fact, for ev- eryt>0, the incidence graph of a generalised hexagon over GF(3t)is a 7-arc-transitive graph of valency 3t+1.

The proof of Weiss’s theorem uses the fact that ifX iss-arc-transitive for somes 2, thenXis 2-arc-transitive (by Lemma 3.2), and so the stabiliser inG =AutX of a vertex

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10 1.4 Proof of Tutte’s Theorem on Symmetric Cubic Graphs

vofX is 2-transitive on the neighbourhoodX(v)ofv(by Lemma 3.1). It then uses the classification of finite 2-transitive groups, obtained by Peter Cameron in 1981 using the classification of the finite simple groups (CFSG).

Finally in this section, we give something that is useful in proving Tutte’s theorem (and in other contexts as well):

Lemma 3.5(The ‘even distance’ lemma): For any connected arc-transitive graph X , let G+=〈Gv,Gw〉be the subgroup of G=AutX generated by the stabilisers Gvand Gwof any two adjacent vertices v and w . Then

(a)the orbit of v under G+contains all vertices at even distance from v, (b)G+contains the stabiliser of every vertex of X,

(c)G+has index1or2in G=AutX,and (d)|G:G+|=2if and only if X is bipartite.

PROOF. LetΩandbe the orbits ofvandwunderG+. ThencontainswGv, so contains all neighbours ofv. Similarly,Ωcontains all neighbours ofw, so contains all vertices at distance 2 fromv. AlsoG+ contains their stabilisers; for example, ifh ∈G+takes v toz, thenG+ containsh−1Gvh =Gz. Parts (a) and (b) now follow from these ob- servations, by induction. By the same token, the orbit=wG+contains all vertices at even distance fromw. Hence in particular, every vertex ofX lies inΩ. Also by the orbit-stabiliser theorem,|Gv||Ω|=|G+|=|Gw|||, and then since|Gv|=|Gw|, this implies

|Ω|=||, and it follows that|Ω|=||=|V(X)|or|V(X)|/2. In the latter case,Ωandare disjoint, which happens if and only ifX is bipartite (with partsΩand), and then also

|G|=|Gv||V(X)|=2|Gv||Ω|=2|G+|, soG+has index 2 inG. On the other hand, in the former case,Ω ==V(X)and|G|=|Gv||V(X)|=|Gv||Ω|=|G+|, and thenG+=G. This

proves parts (c) and (d).

1.4 Proof of Tutte’s Theorem on Symmetric Cubic Graphs

Theorem[Tutte, 1959]:Let X be a finite connected arc-transitive graph of valency3. Then X is s -arc-regular(and so|AutX|=3·2s−1· |V(X)|)for some s≤5. Hence in particular, there are no finite6-arc-transitive cubic graphs.

We will prove this in several stages, using only elementary theory of groups and graphs.

First, we lets be the largest positive integert for which the graphX ist-arc-transitive, and letG=AutX.

Then we letσ= (v0,v1, . . . ,vs)be anys-arc inX, and consider the stabilisers inG of the 0-arc(v0), the 1-arc(v0,v1), the 2-arc(v0,v1,v2), and so on.

We use properties of these to show thatX iss-arc-regular, and then by considering the smallestk for which the stabiliser inG of thek-arc(v0,v1, . . . ,vk)is abelian, we prove thats≤5.

Lemma 4.1:X is s -arc-regular.

PROOF. We have assumedX iss-arc-transitive, so all we have to do is show that the sta-

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M. D. E. Conder: Graph Symmetries 11

biliser of ans-arc is trivial. So assume the contrary. Then everys-arcσis preserved by some non-trivial automorphismf, and by conjugating by a ‘shunt’ if necessary, we can chooseσ= (v0,v1, . . . ,vs)such thatf moves one of the neighbours ofvs, sayw. Then sincef fixesvs and its neighbourvs−1, it must interchangew with the third neighbour w ofvs. It follows that the stabiliser of thes-arcσ= (v0,v1, . . . ,vs)is transitive on the set of two(s+1)-arcs extendingσ, namely(v0,v1, . . . ,vs,w)and(v0,v1, . . . ,vs,w ). HenceX

is(s+1)-arc-transitive, contradiction.

Stabilisers

Letσ= (v0,v1, . . . ,vs)be anys-arc ofX, and letG=AutX, and now define Hs = G(0) = G(v0)

Hs−1 = G(1) = G(v0,v1)

: : :

Hs−k = G(k) = G(v0,v1,...,vk)

: : :

H0 = G(s) = G(v0,v1,...,vs−1,vs)={1}.

Then working backwards, we find that|Hj|=|G(s−j)|=2j for 0≤j<s, while also|Hs|=

|G(0)|=3·2s−1and|G|=3·2s−1· |V(X)|.

Particular automorphisms

As before, letwandw be the other two neighbours ofvs. Also lethandh be the two au- tomorphisms that takeσ= (v0,v1, . . . ,vs−1,vs)to(v1,v2, . . . ,vs,w)and(v1,v2, . . . ,vs,w ) respectively, and definex0=hh−1andxj=hjx0h−jfor 1≤j≤s. Note thatx0=hh−1 preserves(v0,v1, . . . ,vs−1)and is non-trivial, sox0must swapvswith the third neighbour ofvs−1; hencex0has order 2. It follows that everyxjhas order 2.

Moreover,xj−1preserves(v0,v1, . . . ,vs−j)and swapsvs−j+1with the third neighbour of vs−j, for 1≤j <s. Hence in particular,xj−1∈Hj\Hj−1. Then since|Hj|=2|Hj−1|, we find thatHj is generated by{x0,x1, . . . ,xj−1}for 1≤j <s. Similarly,xs−1fixesv0but movesv1, soxs−1∈Hs\Hs−1. Then since|Hs:Hs−1|=3 (a prime),Hs−1is a maximal subgroup ofHs, soHsis generated by{x0,x1, . . . ,xs−1}.

Next, consider the subgroupGgenerated by{x0,x1, . . . ,xs}. This containsHs =Gv0 and〈x1, .. ,xs−1,xs=Gu whereuh =v0, and so by the ‘even distance’ lemma,Gis a subgroup of index 1 or 2 inG (the one we calledG+earlier). Hence in particular,

|G|=3·2s−1· |V(X)|or half of that. Finally, sincehmovesv0tov1(which is at distance 1 fromv0), we find thatG=〈h,G=〈h,x0,x1, . . . ,xs=〈h,x0〉.

We can summarise this in the following lemma.

Lemma 4.2:

(a)Hj=〈x0,x1, . . . ,xj−1〉for1≤j≤s, (b)G+=〈x0,x1, . . . ,xs,and

(c)G=〈h,x0,x1, . . . ,xs=〈h,x0〉.

Note thatH1=〈x0andH2=〈x0,x1are abelian, with orders 2 and 4 respectively.

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12 1.4 Proof of Tutte’s Theorem on Symmetric Cubic Graphs

Defineλto be the largest value ofjfor whichHjis abelian.We will show that 2

3(s−1) λ <12(s+2)whenevers≥4, and hence thats≤5 ors=7, and then we will eliminate the possibility thats=7.

Lemma 4.3:If s≥4, then2≤λ <12(s+2).

PROOF. Assume the contrary. We know thatλ≥2, so the assumption implies 2λ≥s+2, and henceλ−1≥s−λ+1. NowHλ=〈x0,x1, . . . ,xλ−1is abelian, and therefore so is its conjugatehs−λ+1Hλh−(s−λ+1)=〈xs−λ+1,xs−λ+2, . . . ,xs〉. Then sinceλ−1≥s−λ+1, both of these containxλ−1, and also together they generate〈x0,x1, . . . ,xs=G+. It follows thatxλ−1commutes with every element ofG+. In particular,xλ−1 commutes withh2 (which lies inG+since|G:G+| ≤2). But that impliesxλ−1=h2xλ−1h−2=xλ+1, and then

conjugating byhλ−1givesx0=x2, contradiction.

Lemma 4.4: The centre of Hj =〈x0,x1, . . . ,xj−1〉is generated by{xj−λ, . . . ,xλ−1}, forλ≤ j<2λ.

PROOF. Every elementxofHj can be written uniquely in the formx=xi1xi2. . .xir with 0≤i1<i2<···<ir≤j−1. Now[xi1,xi1]=1 since otherwise[x0,xλ] =1 and thenxλ commutes withx0,x1, . . . ,xλ−1, soHλ+1=〈x0,x1, . . . ,xλis abelian, contradiction. Thus xi1∈Z(Hj)wheni1+λ <j. Similarly[xir,xir−λ]=1 whenir−λ≥0. Hence ifx∈Z(Hj) thenx=xi1xi2. . .xirwherei1≥j−λandir< λ.

Conversely, if 0≤j−λ≤i < λ≤j thenxi commutes with all ofx0,x1, . . . ,xλ−1, be- causeHλ = 〈x0,x1, . . . ,xλ−1is abelian, and with all ofxλ, . . . ,xj−1, sincehλHλh−λ =

〈xλ, . . . ,x2λ−1is abelian (andλ≤j<2λ). Thus every such elementxi1xi2. . .xiris central

inHj.

Lemma 4.5:The derived subgroup of Hj+1=〈x0,x1, . . . ,xj〉is a subgroup of〈x1, . . . ,xj−1〉, for1≤j≤s−2.

PROOF. Each of〈x1, . . . ,xjand〈x0, . . . ,xj−1has index 2 inHj+1=〈x0,x1, . . . ,xj, and is therefore normal inHj+1. Their intersection〈x1, . . . ,xj−1is a normal subgroup, of index 4, and (so) the quotient is abelian. Thus〈x1, . . . ,xj−1contains all commutators of elements ofHj+1, and hence contains the derived subgroup ofHj+1. Next, consider the element[x0,xλ] =x0−1x−1λ x0xλ= (x0xλ)2. By Lemma 4.5, this lies in

〈x1, . . . ,xλ−1〉, so can be written in the formxi1. . .xirwith 1≤i1<···<ir≤λ−1.

We will takeμ=i1andν=ir, and show thatμ+λ≥s−1 and 2λ−ν≥s−1, and hence that23(s1)≤λ.

Lemma 4.6:If[x0,xλ]is written as xi1. . .xir with0<i1<···<ir< λ, then (a)i1+λ≥s−1,and(b) 2λ−ir≥s−1.

PROOF. Takeμ=i1andν=ir, so that 0< μ≤ν < λ.

For (a), suppose thatμ+λ≤s−2. Then Lemma 4.5 implies that[x0,xμ+λ]lies in

〈x1, . . . ,xμ+λ−1,

the centre of which is〈xμ, . . . ,xλ〉. The latter containsxλandxμ. . .xν= [x0,xλ], so both of these commute with[x0,xμ+λ]. This gives

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M. D. E. Conder: Graph Symmetries 13

[x0,xλ]xμ+λ = [x0xμ+λ,xλxμ+λ] = [x0xμ+λ,xλ]

= [x0[x0,xμ+λ],xλ] = [x0,xμ+λ]−1x0−1xλ−1x0[x0,xμ+λ]xλ

= [x0,xμ+λ]−1[x0,xλ]x−1λ [x0,xμ+λ]xλ

= [x0,xμ+λ]−1[x0,xλ][x0,xμ+λ] = [x0,xλ],

and thereforexμ. . .xν= [x0,xλ]commutes withxμ+λ, contradiction.

Similarly, if 2λ−ν ≤s−2 then[x0,x2λ−ν]∈ 〈x1, . . . ,x2λ−ν−1〉, the centre of which is

〈xλ−ν, . . . ,xλ〉, so[x0,x2λ−ν]commutes withxλ−νandxμ+λ−ν. . .xλ=hλ−ν(xμ. . .xν)hν−λ= hλ−ν[x0,xλ]hν−λ= [xλ−ν,x2λ−ν]. This gives

[xλ−ν,x2λ−ν]x0 = [xλ−νx0,x2λ−νx0] = [xλ−ν,x2λ−νx0]

= [xλ−ν,[x0,x2λ−ν]x2λ−ν]

= xλ−νx2λ−ν[x0,x2λ−ν]−1xλ−ν[x0,x2λ−ν]x2λ−ν

= xλ−νx2λ−νxλ−νx2λ−ν = [xλ−ν,x2λ−ν],

soxμ+λ−ν. . .xλ= [xλ−ν,x2λ−ν]commutes withxμ+λ, contradiction. This proves part (b).

Lemma 4.7:If s≥4, thenλ≥23(s1).

PROOF. Lemma 4.6 gives s−1−λ μ ν −s+1, and then forgettingμandν

and rearranging gives 2s23λ.

Lemma 4.8:If s≥4, then s=4, 5or7.

PROOF. By Lemmas 3 and 6 we have23(s1)≤λ <12(s+2). Forgettingλand rearranging gives 4s4<3s+6, sos<10, but on the other hand, fors∈ {6, 8, 9}there is no integer

solution forλ, sos=4, 5 or 7.

Lemma 4.9:s=7.

PROOF. Assume thats =7. Thenλ=4, and 2≤μ≤ν 2 soμ=ν =2, which gives [x0,x4] =x2. Next we consider[x0,x5]. By Lemma 4.5, this lies in〈x1,x2,x3,x4〉.

Suppose that(x0x5)2= [x0,x5]lies in〈x1,x2,x3〉. Thenx5x0x5lies in〈x0,x1,x2,x3=H4

and so fixes vertexv3of our original 7-arcσ= (v0,v1, . . . ,v7), and hencex0fixesv3x5. Observe thatx5fixesv0andv1but notv2orv3, and sov2x5is the third neighbour ofv1, different fromv0andv2but then also fixed byx0. It follows thatx0preserves the 7-arc (v3x5,v2x5,v1,v2,v3,v4,v5,v6), contradiction.

Thus[x0,x5] =y x4for somey ∈ 〈x1,x2,x3〉. In particular,y commutes withx0andx4

(sinceλ=4), and alsoy2=1 since〈x1,x2,x3is abelian. But now it follows that x2= [x0,x4] = (x0x4)2= (x0y x4)2= (x0[x0,x5])2

= (x5x0x5)2=x5x02x5=1, a final contradiction.

This completes the proof of Tutte’s theorem.

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14 1.5 Amalgams and Covers

1.5 Amalgams and Covers

Recall (from Section 3) that ifX is an arc-transitive graph, with automorphism group G, andH is the stabiliser of a vertexv, thenX may be viewed as a double coset graph X(G,H,D)whereD=Ha Hfor somea∈G(movingvto a neighbour), witha2∈H.

Lemma 5.1:In the arc-transitive graph X(G,H,Ha H), the stabiliser in G of the arc(H,Ha) is the intersection H∩a−1Ha , and the stabiliser of the edge{H,Ha}is the subgroup gener- ated by H∩a−1Ha and a . In particular, the valency of X(G,H,Ha H)is equal to the index

|H:H∩a−1Ha|.

PROOF. Letvbe the vertexH. Then sincea2∈H, the elementainterchangesvwith its neighbourw=va, and hence reverses the arc(v,w). Alsoa−1Hais the stabiliser of the vertexva=w, soH∩a−1Hais the stabiliser of the arc(v,w). The rest follows easily from

this (and transitivity ofHon the neighbours ofv).

Amalgams for symmetric graphs

For the next part of this section, we will abuse notation and useV,EandArespectively for the stabilisers of the vertexv, the edge{v,w}, and the arc(v,w), wherewis the neigh- bour ofvthat is interchanged withvby the arc-reversing automorphisma.

The triple(V,E,A)may be called anamalgam. Note thatV∩E=A. Note also that ifXis connected, thenG=〈Ha H〉=〈H,a=〈H,H∩a−1Ha,a=〈V,E〉.

This amalgamspecifies the kind of group action on X . For example, ifXis 3-valent and V∼=S3=D3andE∼=V4(the Klein 4-group), withA=V∩E∼=C2, then the action ofG on Xis 2-arc-regular, with the elementabeing an involution (reversing the arc(v,w)).

Conversely, from any such triple(V,E,A)we can form the amalgamated free product =V AE (of the groupsV andE with their intersectionA=V∩E as amalgamated subgroup), which is a kind ofuniversalgroup for such actions.

Specifically,G is an arc-transitive group of automorphisms of the symmetric graphX, acting in the way that is specified, if and only ifGis a quotient ofvia some homomor- phism which preserves the amalgam (that is, preserves the orders ofV,EandA). When that happens, the homomorphism takesV,EandA(faithfully) to the stabilisers of some vertexv, incident edge{v,w}and arc(v,w)respectively,

This gives a way of classifying such graphs, or finding all of the examples of small order.

Exercise 16: What is the amalgam for the action ofS3S2on the graphK3,3? Is this the same as the amalgam for the Petersen graph?

In 1980, Djokovi´c and Miller determined all possible amalgams for an arc-transitive ac- tion of a group on a 3-valent graph with finite vertex-stabiliser. There are precisely seven such amalgams, which they called 1, 2, 2 , 3, 4, 4 and 5. In each case, the given num- ber is the value ofsfor which the group acts regularly ons-arcs, and indicates that the group contains arc-reversing elements that are involutions (of order 2), while indicates that every arc-reversing element has order greater than 2. (Note that we requirea2∈H but not necessarilya2=1.) The first examples of finite 3-valent graphs with full auto-

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