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DOI 10.1007/s10801-009-0185-0

Cerný’s conjecture and group representation theory ˇ

Benjamin Steinberg

Received: 10 August 2008 / Accepted: 21 May 2009 / Published online: 2 June 2009

© Springer Science+Business Media, LLC 2009

Abstract Let us say that a Cayley graphof a groupGof ordernis a ˇCerný Cayley graph if every synchronizing automaton containingas a subgraph with the same vertex set admits a synchronizing word of length at most(n−1)2. In this paper we use the representation theory of groups over the rational numbers to obtain a number of new infinite families of ˇCerný Cayley graphs.

Keywords ˇCerný’s conjecture·Synchronizing automata·Group representation theory

1 Introduction

LetTXbe the set of all maps on a setX (which is always taken to be finite in this paper). We follow the convention here that elements of TX act on the right of X;

in particular, ifSX andfTX, thenSf1denotes the full inverse image ofS underf. For the purposes of this article, an automaton with state setX is a subset TX. Elements of X are commonly referred to as states. Often one writes the automaton as a pair(X, )to emphasize the setX. Of course, the inclusionTX

extends to the free monoid and so an automaton is basically a right action of a finitely generated free monoid on a finite set (where we assume that the generators are sent to different transformations for simplicity). An important special case is whenG is a finite group andis a generating set forG. The automaton=(G, ), where the elements ofact on the right ofGby right multiplication, is called the Cayley

The author was supported in part by NSERC.

B. Steinberg (

)

School of Mathematics and Statistics, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada

e-mail:bsteinbg@math.carleton.ca

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graph ofGwith respect to. We shall say that an automaton(G, )containsif .

An important notion in automata theory is that of synchronization. Let(X, ) be an automaton. A wordw is called a synchronizing word if|Xw| =1, that is,wis sent to a constant map under the homomorphismTX. An automaton that admits a synchronizing word is called a synchronizing automaton. The main open question concerning synchronizing automata is a conjecture from 1964 due to Cerný [8], which has received a great deal of attention [1–5,ˇ 8,12,14,17,19–22].

Conjecture 1 ( ˇCerný) A synchronizing automaton withnstates admits a synchro- nizing word of length at most(n−1)2.

Cerný, himself, showed thatˇ (n−1)2is the best one can hope for [8]. The best known upper bound on lengths of synchronizing words isn36n, due to Pin [18] based on a non-trivial result of Frankl from extremal set theory, see also [15]. It should be mentioned that an upper bound ofn33n can be obtained by fairly elementary means, so the hard work lies in improving the bound by a factor of 2.

There are far too many special cases of the ˇCerný conjecture that have been proven for us to mention them all here. The following list of references contain just a few [1–

5,8,12,14,17,19–22]. Let us highlight three results that are most relevant to the paper at hand. We begin with the theorem of Pin [17].

Theorem 1.1 (Pin) Suppose thatA=(X, )is an automaton containing a Cayley graph of a cyclic group of prime orderp. Then

(1) Ais synchronizing if and only if some element of does not permuteX;

(2) If A is synchronizing, then it admits a synchronizing word of length at most (p−1)2.

The author (together with his student, Arnold) was motivated by the first part of the above theorem to introduce the notion of a synchronizing group [5]: a permutation group(X, G) is said to be a synchronizing group if, for eachtTX which is not a permutation, the monoid G, t contains a constant map. Synchronizing groups have since become a hot topic in the theory of permutation groups [16] and relate to many classical questions about graphs and finite geometries. The technique used to study such groups in [5] was representation theory over the field of rational numbers, something we explore further in this paper.

Dubuc, in a groundbreaking paper [12], extended the second part of Pin’s result to Cayley graphs of arbitrary cyclic groups with respect to cyclic generating sets.

This paper was motivated very much by trying to understand Dubuc’s ideas from a representation theoretic viewpoint.

Theorem 1.2 (Dubuc) Suppose thatA=(X, )is a synchronizing automaton onn states containing the Cayley graph of a cyclic group with respect to a single generator.

ThenAadmits a synchronizing word of length at most(n−1)2.

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Rystsov [19] proved that any synchronizing automaton onnstates containing the Cayley graph of a group admits a synchronizing word of length at most 2(n−1)2(this was rediscovered by Béal for the special case of cyclic groups [6]). More precisely, if =(G, )is a Cayley graph of a groupG, the diameter diam(G)ofis the least positive integermsuch that each element inGcan be represented by an element of of length at mostm. Of course 0m≤ |G| −1. Rystsov proved the following theorem [19].

Theorem 1.3 (Rystsov) LetA=(X, )be an automaton onnstates containing the Cayley graph of a groupGwith respect to. ThenAadmits a synchronizing word of length at most 1+(n−1+diam(G))(n−2).

Of course, applying the bound ofn−1 on the diameter yields the upper bound of 2(n−1)2. Notice that Rystsov’s bound achieves the ˇCerný bound if and only if contains each non-trivial element ofG.

IfGis a group of ordernandis a set of generators forG, then we say that =(G, )is a ˇCerný Cayley graph if every synchronizing automaton(G, )con- tainingadmits a synchronizing word of length at most(n−1)2. Let us callGa Cerný group if all its Cayley graphs are ˇˇ Cerný Cayley graphs. Of course if the ˇCerný conjecture is true, then all groups are ˇCerný groups. Pin’s theorem [17] establishes thatZp withpprime is a ˇCerný group. Dubuc [12] showed that every Cayley graph ofZnwith respect to a cyclic generator is a ˇCerný Cayley graph; consequently,Zpm

is a ˇCerný group forpprime. To prove that every group is a ˇCerný group, one must improve on Rystsov’s bound by a factor of 2.

In this paper, our main result is an improved bound for synchronizing automata containing Cayley graphs based on representation theory over the field of rational numbers. Our bound does not prove that every Cayley graph is a ˇCerný Cayley graph, but it does work for certain Cayley graphs of cyclic groups, dihedral groups, sym- metric groups, alternating groups and (projective) special linear groups (in this last example, Galois theory comes into play). Even when our main result fails to establish a Cayley graph is a ˇCerný Cayley graph, our techniques often suffice. In particular, there are several infinite families of Cayley graphs (coming from affine groups, vec- tor spaces and dihedral groups) that we can prove are ˇCerný graphs even though our main result is not up to the task. As a consequence of our results it follows that ifpis a prime, then the dihedral groupsDpandDp2 and the vector spacesZmp, form≥1, are ˇCerný groups.

2 Representation theory

As our primary tool in this paper will be representation theory, we try to record here most of the needed background. There are plenty of excellent books on group repre- sentation theory; we shall use [9,11] as our primary references. All groups in what follows should be assumed finite.

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2.1 Basic notions

Throughout this sectionKwill always be a subfield of the fieldCof complex num- bers. By a representation of a monoidMoverK, we mean a monoid homomorphism ϕ:M→EndK(V )where EndK(V )is the endomorphism monoid of a finite dimen- sionalK-vector space V. It is frequently convenient to denote ϕ(m) by ϕm. The dimension ofV is termed the degree of the representationϕ, denoted by deg(ϕ). One says thatV carries or affords the representationϕ. By the trivial representation of M, we mean the homomorphismϕ:MK=EndK(K)sending all ofMto 1. If WV is a subspace and AM, we write AW for the subspace spanned by all elements of the formϕm(w)withmAandwW. A subspaceWV is said to beM-invariant ifMWW. Notice thatMWis the leastM-invariant subspace con- tainingW. IfWisM-invariant, then it affords a subrepresentation ofϕby restricting eachϕmtoW. If the onlyM-invariant subspaces ofV are{0}andV, thenϕis said to be irreducible. Evidently every degree one representation is irreducible. We remark that a degree one representation is just a homomorphismϕ:MK× whereR× denotes the group of units of a ringR.

Ifϕ:M→EndK(V )andψ: M→EndK(W )are representations, then their di- rect sumϕψ:M→EndK(VW )is defined by placing

ψ )m=ϕmψm.

Two representationsϕ:M→EndK(V )andψ:M→EndK(W )are said to be iso- morphic (or equivalent) if there is an invertible linear transformationT: VW such that for eachmM, the diagram

V

ϕm

T

V

T

W

ψm

W

commutes, i.e.ϕm=T1ψmT allmM.

The character ξϕ of a representation ϕ is the function ξϕ: MK given by ξϕ(m)=Tr(ϕm)where Tr(A)denotes the trace of the linear operatorA. Notice that ξϕ only depends on the isomorphism class ofϕ andξϕψ=ξϕ+ξψ. Also observe thatξϕ(1)=deg(ϕ). A representationϕis said to be completely reducible if it is iso- morphic to a direct sum of irreducible representations. The decomposition into irre- ducibles is unique (up to isomorphism and reordering) and the summands are called the irreducible constituents ofϕ. For a completely reducible representation, every M-invariant subspaceW has an M-invariant complement W withV =WW. Moreover, any irreducible constituent ofV is either a constituent ofW or ofW(or possibly both if it appears with multiplicity).

It is simple to verify that ifϕ:N→EndK(V )is an irreducible representation and ψ: MN is an onto homomorphism, thenϕψ is an irreducible representation of M, a fact we shall use without comment.

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2.2 The representation associated to a transformation monoid

The primary example of a representation for us is the following. Let(X, M) be a monoidM acting on the right of a finite set X and let V =KX be the K-vector space of all functions fromX toK. Then we can define a representationρ: M→ EndK(V ), called the standard representation of(X, M), by right translations:

ρm(f )(x)=f (xm).

The degree ofρ is, of course |X|. We shall be particularly interested in the case whereM is a free monoid, since a pair(X, )is essentially the same thing as an automaton. The vector spaceV comes equipped with the inner product

f, g =

xX

f (x)g(x).

It is easy to verify that the group of units ofMacts by unitary transformations with respect to this inner product.

LetV1be the subspace of constant functions; let us denote byr, forrK, the constant function with valuer. Thenρm(r)=r, for allmM, and henceV1isM- invariant. It is well known and easy to prove that the subspace of vectors fixed byM is precisely the space of constant functions if and only ifMacts transitively onX. Set V0=V1; soV0= {fV :

x∈Xf (x)=0}and dimV0= |X|−1. The subspaceV0

is invariant for the group of units ofM, but not in general forM. It will be convenient to define the augmentation map:VKby

(f )= f,1 =

xX

f (x).

Observe thatV0=ker. LetSX be a subset and χS its characteristic function.

Then, formM, noticeρmS)=χSm1 sinceρmS)(x)=χS(xm), which is 1 if xmSand 0 otherwise. Also observe thatS)= |S|. It is easily verified that

χS=χS− |S|

|X|·1=χS

|S|

|X|

(2.1) is the orthogonal projection of χS onto V0. Indeed, the vector1 spans V1 and

χS,1

1,1 =||XS||. Notice that χS =0 if and only if S=X. The following observation will be applied often in this paper.

Proposition 2.1 Suppose that(X, M)is transitive and letρ be the standard repre- sentation of(X, M). Assume that some element ofM acts as a constant map onX.

LetSbe a proper subset ofXand setW=Span{χS}. ThenMWV0.

Proof By transitivity ofM, there is a constant mapfM with image contained inS. We then compute

fS))=Sf−1)− |S| = |Sf1| − |S| = |X| − |S|>0

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and soρfS) /∈ker=V0. Remark 2.2 The following remark is for experts in representation theory. IfM acts faithfully and transitively onXand contains a constant map, then one can verify that the standard representation of(X, M)is an injective indecomposable representation with simple socleV1.

A fact that we shall use frequently is that ifGis a finite group acting transitively onX, then|G1|

gGρgis the orthogonal projection ofV ontoV1and, in particular, it annihilatesV0.

Proposition 2.3 LetGbe a finite group acting transitively on the right of a finite setX. Then

P = 1

|G|

gG

ρg

is the orthogonal projection ontoV1.

Proof SinceV0, V1are both G-invariant, they are both invariant underP. So if we can showV1=ImP andP fixesV1, then the proposition will follow from the or- thogonal decompositionV =V0V1. Let us prove the latter statement first. Since each element ofGfixesV1, ifrV1, then

Pr= 1

|G|

gG

ρg(r)= 1

|G|

gG

r=r

and henceP fixesV1. Next letfV and letx, yX. By transitivityy=xhsome hG. Then we have

Pf (y)= 1

|G|

gG

f (yg)= 1

|G|

gG

f (xhg)= 1

|G|

tG

f (xt )=Pf (x) where the last equality follows by making the change of variablest=hg. It follows

thatPf is a constant map, completing the proof.

SinceP obviously fixes any vector fixed by all ofG, the above proposition shows thatV1is the space of fixed vectors ofG, as was mentioned earlier.

2.3 Group representation theory

We highlight here some key points about group representations. LetG be a finite group. Maschke’s theorem says that every representation ofGoverKis completely reducible [9,11]. It is a standard fact that group representations are determined up to isomorphism by their characters [11, Chpt. 7] and hence often one does not distin- guish between an irreducible representation and its associated character. If we letG act on the right of itself by right multiplication, then the standard representation of

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(G, G)is called the regular representation ofG. It is well known that each irreducible representation (up to isomorphism) ofGis a constituent in the regular representation ofG. In particular, if we look at the decomposition of the regular representation into V0V1, then we see that each non-trivial irreducible representation ofGis a con- stituent ofV0and each constituent ofV0is non-trivial. Representationsρ andψare said to be orthogonal if they have no common irreducible constituents. Then, we have the following consequence of Proposition2.3.

Proposition 2.4 LetGbe a group andϕ:G→EndK(V )be a representation ofG orthogonal to the trivial representation. Then

0= 1

|G|

gG

ϕg.

Proof Each irreducible constituent of the representation ϕ is an irreducible con- stituent ofV0in the regular representation and hence is annihilated by |G1|

gGϕg

thanks to Proposition2.3.

IfK=C, then the number of isomorphism classes of irreducible representations ofGis precisely the number of conjugacy classes ofG. Moreover, ifϕ(1), . . . , ϕ(s) form a complete set of representatives of the equivalence classes of irreducible rep- resentations ofGoverCanddi is the degree ofϕ(i), thenϕ(i) appears exactlydi times as a summand in the decomposition of the regular representation of G into irreducibles. In particular,|G| =d12+ · · · +ds2, see [9,11].

Every representation of G over Q is isomorphic to a matrix representation ϕ:GMn(Q) where Mn(Q) is the monoid of n×n-matrices over Q (simply choose a basis for the representation space). Hence each representation overQcan be viewed as a representation overC. (Formally speaking, one replacesV by the ten- sor productC⊗QV.) One says thatϕis absolutely irreducible if it is irreducible as a representation overC. Absolutely irreducible representations must be irreducible, but not conversely. For example, letωnbe a primitivent h-root of unity. Then one can define an irreducible representationϕ:Zn→EndQ(Qn))by having the generator act via left multiplication byωn. It is easy to see that aZn-invariant subspace is the same thing as a left ideal inQn), butQn)is a field and so has no non-zero proper ideals. However, every irreducible representation ofZnoverChas degree 1 (since it hasnconjugacy classes and the sums of the degrees squared add up ton). Soϕis not absolutely irreducible.

It is a classical fact that ifξ is the character of a complex representation of a group G of ordern, then ξ(g) is a sum of nt h-roots of unity and hence is an algebraic number (in fact an algebraic integer), for eachgG [9, 11]. Thus one can form a number fieldQ(ξ )(i.e. a finite extension ofQ), called the character field ofξ, by adjoining the values ofξ. In fact,Q(ξ )is a subfield of the cyclotomic fieldQn)and therefore is a Galois (in fact abelian) extension ofQ. Hence ifH=Gal(Q(ξ ):Q)is the Galois group ofQ(ξ )overQ, then|H| = [Q(ξ ):Q]. Notice thatH acts on the right of the set of functionsθ: G→Q(ξ )by puttingθh(g)=h1(θ (g))forhH. The main result of [11, Chpt. 24] establishes the following theorem, encapsulating the relationship between irreducible representations ofGoverQandC.

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Theorem 2.5 LetGbe a finite group.

(1) Letθbe the character of an irreducible representation ofGoverQ. Then there is a complex irreducible characterξ ofGand an integers(ξ ), called the Schur index ofξ, so that

θ=s(ξ )·

h∈Gal(Q(ξ ):Q)

ξh.

(2) Ifξis the character of a complex irreducible representation ofG, then there is a unique integers(ξ )so that

θ=s(ξ )·

hGal(Q(ξ ):Q)

ξh

is the character of an irreducible representation ofGoverQ. In particular, one has

deg(θ )=s(ξ )[Q(ξ ):Q]deg(ξ )≥ [Q(ξ ):Q]deg(ξ ). (2.2) Hence the representation theory ofGoverQcan be understood in principle via the complex representation theory and Galois theory. However, it should be mentioned that computing the Schur index is a non-trivial task and so we content ourselves in this paper with the bound in (2.2).

2.4 Representations of free monoids

Several combinatorial lemmas concerning representations of free monoids have been exploited in the literature in connection with ˇCerný’s conjecture [6,12,14,19], as well as with the theory of rational power series [7]. Here we collect some variants.

Let us denote bydthe set of all words inof length at mostd. The length of a wordwis denoted|w|, as usual.

Lemma 2.6 Letϕ:→EndK(V )be a representation and suppose thatWV is a subspace. ThenW=≤dW whered=dimW−dimW.

Proof LetWi=iW. Then

W=W0W1⊆ · · · ⊆W

and ifWi=Wi+1, thenWj=Wfor allji. In particular, if we have W0W1· · ·Wd=W,

thend +dimW0≤dimW and sod ≤dimW −dimW. But since W = dW implies the same equality for every larger value of d, this completes the

proof.

Our next two results are important for when the alphabet is partitioned into two subsets.

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Lemma 2.7 Let=and supposeϕ:→EndK(V )is a representation.

LetWV be a-invariant subspace that is not-invariant. LetU=1W. ThenU=d1W whered=dimU−dimW−1.

Proof By assumption,W=1WW. Hence dimW≥dimW+1. Applying the previous lemma toW, we may take

d=dimU−dimW≤dimU(dimW+1)=dimU−dimW−1,

establishing the lemma.

Proposition 2.8 Suppose that=and letδ:be the map erasing letters from. Letϕ:→EndK(V )be a representation andWV a subspace.

DefineWr =Span{wW: |δ(w)| ≤r}and set

Vr=Span{wW: |w| ≤dimWr−dimW,|δ(w)| ≤r} r≥0

Ur=dr1Vr1 r≥1

wheredr=dimWr−dimWr11. SupposeWs=W. Then,V0=W0and, for 1≤rs+1, we haveUr=Vr=Wr.

Proof AsW0=W, Lemma2.6provides the equalityV0=W0. It follows directly from the definitions that in generalUrVrWr. Suppose by induction thatVr= Wr for 0≤rs; we showUr+1=Vr+1=Wr+1. Indeed, by induction we have

Wr+1=1Wr=dr+11Wr =dr+11Vr=Ur+1

where the second equality is a consequence of Lemma2.7and the penultimate one follows from the induction hypothesis. This completes the induction.

Our final lemma concerns the situation whereWU, butWU. The ques- tion is how long a word does it take to get you out ofU? The answer is provided by the next lemma.

Lemma 2.9 Supposeϕ:→EndK(V )is a representation and letWUbe sub- spaces ofV such thatW U. Let us sayW =SpanX. Then there existxX andwwithϕw(x) /U and|w| ≤dimU−dimW+1.

Proof Again letWi=iWand consider the chain of subspaces W=W0W1⊆ · · · ⊆W.

As in the proof of Lemma2.6, ifWi =Wi+1, thenWi =W. NowW0U and WU, so choosingdleast such thatWdU, we have

W=W0W1· · ·Wd1U.

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Consequently, dimW+d−1≤dimU, or in other words we have the sought after inequalityd≤dimU−dimW+1. SinceWdis spanned by the elementsϕw(x)with

|w| ≤d andxX, and moreoverWdU, it follows that we can findwand

xXwith the desired properties.

3 An improved bound for automata containing Cayley graphs

In this section, we ameliorate Rystsov’s bound for synchronizing automata containing Cayley graphs. Our bound is good enough to obtain Pin’s result [17], as well as to obtain several new infinite families of ˇCerný Cayley graphs. It does not recover Dubuc’s result, although it comes much closer than [6, 19]. Again all groups are finite here.

LetG be a group of order n >1. Define m(G)to be the maximum degree of an irreducible representation ofGoverQ. As each irreducible representation ofG is a constituent in the regular representation, and all groups admit the trivial repre- sentation, one has 1≤m(G)n−1. Since the regular representation is faithful, it follows from Maschke’s theorem that the irreducible representations ofGseparate points. Since the only roots of unity inQare ±1, it follows thatm(G)=1 if and only ifG∼=Zm2 for some m. We shall see momentarily that if Gis a cyclic group of prime ordern, thenm(G)=n−1. Before proving our main theorem, we isolate some key ideas of the proof, many of which are inspired by the beautiful paper of Dubuc [12]; see also our previous paper with Arnold [5].

Let(X, )be a synchronizing automaton with nstates. Suppose acts tran- sitively onX(as is usually the case). Then for any proper subsetSX, there is a wordwso that|Sw1|>|S|: one can takewto be an appropriate synchronizing word, for instance. The basic strategy for obtaining bounds on lengths of synchroniz- ing words (although this strategy is now known not to be optimal in general [13]) is to prove that, for each subsetSofXwith 2≤ |S|< n, there is a wordtof length at mostkso that|St1|>|S|(we say such a wordt expandsS). Then one obtains a synchronizing word of length at most 1+k(n−2). Indeed, to expand a singleton subset requires a single non-permutation from(which must exist if the automaton is synchronizing). One can then expand repeatedly by words of length at mostkuntil obtainingX. Since one has to expand at mostn−2 times from a two element set to annelement set, this establishes the bound. Observing that(n−1)2=1+n(n−2), the goal is to try and prove that one can takekn.

Our first idea is a lemma that we shall refer to as the “Standard Argument” since it is an argument we shall use time and time again throughout the paper.

Lemma 3.1 (Standard Argument) Suppose(X, )is an automaton and letρ:→ EndQ(V )be the standard representation withV =QX. LetV1be the space of con- stant maps andV0the orthogonal complement. LetSXand recall the definition of

χS from (2.1). SupposeρuvwS) /V0withu, v, w. Then if there existr≥ |v| and a non-negative linear combination

P =

yr

cyρy

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with cv>0 and ρuwS)V0, then |St1|>|S| for some t with |t| ≤

|u| + |w| +r.

Proof SinceρuvwS) /V0=ker, it follows 0=uvwS))=S(uvw)1)

|S|

|X|·1

= |S(uvw)1| − |S|. This leads us to two cases. If|S(uvw)1| − |S|>0, then we are done since|uvw| =

|u| + |v| + |w| ≤ |u| + |w| +r. So suppose instead

|S(uvw)1| − |S|<0. (3.1) SinceρuwS)V0=ker, it follows

0=uwS))=

y≤r

cyuywS))

=

yr

cy(|S(uyw)1| − |S|).

(3.2)

Taking into account that thecy are non-negative,cv>0 and (3.1) holds, in order for (3.2) to be valid there must existy≤r with|S(uyw)1| − |S|>0. Setting

t=uywcompletes the proof.

The next lemma, which shall be our main workhorse, is called the “Gap Bound”.

First let us describe the “Standard Setup”, which is essentially a collection of nota- tional conventions that will be needed at the start of nearly every proof in the remain- der of the paper.

Definition 3.2 (Standard Setup) LetGbe a group of ordern >1 generated by and supposeTG with(G, )a synchronizing automaton. Set=\. SupposeSGis a subset with 2≤ |S|< n. Letρ:→EndQ(V )be the stan- dard representation whereV =QG. Put W=Span{χS}and set Wr =Span{wW :

|δ(w)| ≤r}, forr≥0, and we agreeW1=0. Recall thatδ:is the map erasing. Define cr =dimWr −dimWr1. These numbers are referred to as the gaps. By constructionWr is aG-invariant subspace for the regular representation of Gso we may writeWr=Wr1Ur whereUr is aG-invariant subspace. Note that cr =dimUr andWr=U0U1⊕ · · · ⊕Ur. Then

WW0W1⊆ · · · ⊆W

and as soon asWr=Wr+1one hasWr =W(sinceWr =1Wr1forr≥1).

Note thatW0=WV0, while Proposition2.1yieldsWV0. Hence there is a maximal integersso thatWsV0.

The Gap Bound relates the length of a word needed to expandSto the size of the maximal gap.

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Lemma 3.3 (Gap Bound) Let us assume the Standard Setup. Then there is a word tof length at most

1+dimWs− max

0rs{cr} +diam(G) such that|St1|>|S|.

Proof Fix, for each elementgG, a wordugof length at most diam(G)so thatug maps togGunder the projectionπ:G. Letλ:G→EndQ(V )be the regular representation ofG. Thenρ|=λπ, that is,ρu=λπ(u) foru. In particular,ρug=λg.

SinceWs+1V0, it followsWsV0asV0is invariant under. HencebWs V0someb. Letck=max{cr :0≤rs}. First supposek=0. Proposition2.8, but withW0in the place ofW, implies thatWs is spanned by elements of the form ρx(f )where |x| ≤dimWs−dimW0=dimWsc0,|δ(x)| ≤s andfW0. As W0=W, it followsρbxyS) /V0for someyandxas above. SinceχSV0, we have by Proposition2.3

0=ρbx

1

|G|

g∈G

λgS).

Recalling thatρy=λπ(y)=ρuπ(y), the Standard Argument withu=bx,v=uπ(y), w=1 andP =|G1|

gGρug provides a wordt of length at most

|bx| +diam(G)≤1+dimWsc0+diam(G) such that|St1|>|S|.

Finally supposek >0. Proposition2.8 yieldsWk is spanned by vectors of the form ρybzS) where y, b1 and z such that the inequalities

|z| ≤dimWk1−1 and |δ(z)| ≤k−1 hold. On the other hand, Proposition 2.8, but withWk in the place ofW, yields thatWs is spanned by elements of the form ρx(f )where|x| ≤dimWs −dimWk,|δ(x)| ≤sk andfWk. Putting this to- gether, we can findx, y, b, z with the above properties so that ρbxybzS) /V0. SinceρbzS)WkV0, it follows from Proposition2.3that

0=ρbx 1

|G|

gG

λgρbzS).

Invoking the Standard Argument where we take u=bx, v=uπ(y),w=bzand P =|G1|

gGρug yields the existence of a wordtwith

|t| ≤ |bx| + |bz| +diam(G)

≤1+dimWs−dimWk+1+dimWk1−1+diam(G)

=1+dimWsck+diam(G)

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such|St1|>|S|. This completes the proof.

Since the largest gap is at leastm(G), orn−1−dimWsm(G), we obtain our main result, improving upon Rystsov’s bound, Theorem1.3.

Theorem 3.4 LetGbe a group of ordern >1 generated byand supposeTG with(G, ) a synchronizing automaton. Then (G, ) admits a synchronizing word of length at most

1+(nm(G)+diam(G)) (n−2).

In particular, if diam(G)m(G), then(G, )satisfies the ˇCerný bound and hence (G, )is a ˇCerný Cayley graph.

Proof Observing that(n−1)2=1+n(n−2), the last statement follows from the first, which we proceed to prove. LetSGbe a subset with 2≤ |S|< n. It suffices to show that there existstwith|t| ≤nm(G)+diam(G)and|St1|>|S|. So we assume the Standard Setup. Letθbe an irreducible character ofGof degreem(G).

We know thatθ appears as a constituent in the regular representation ofG. AsGis non-trivial, we may assume thatθ is not the character of the trivial representation.

Since in the direct sum decompositionV =V0V1, the representation afforded byV1 is the trivial representation, it follows thatθis a constituent in the subrepresentation afforded byV0. Now we may writeV0=WsU withU aG-invariant subspace.

Then we have, following the notation of the Standard Setup, V0=WsU=U0U1⊕ · · · ⊕UsU.

There are two cases. Suppose firstθ is a constituent ofUk, some 0≤ks. Then ckm(G)and therefore it follows

1+dimWs− max

0rs{cr} +diam(G)nck+diam(G)

nm(G)+diam(G).

On the other hand, sincen−1=dimV0=dimWs+dimU, ifθis a constituent of Uthen dimWsn−1−m(G), yielding

1+dimWs− max

0rs{cr} +diam(G)nm(G)+diam(G).

The desired wordtis now provided by the Gap Bound.

4 Some examples

In this section, we consider several natural families of Cayley graphs and determine whether or not we achieve the ˇCerný bound with our bound, and if not we see by how much we fail. In what follows,ωmalways denotes a primitivemt h-root of unity.

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4.1 Cyclic groups

Our first family of examples consists of cyclic groups. LetGbe a cyclic group of ordern. Then the regular representation of G is isomorphic to the representation ρ:G→EndQ(Q[x]/(xn−1))which sends the generator to left multiplication byx.

One has the direct sum decompositionQ[x]/(xn−1)=

d|nQd)where the gen- erator acts onQd)via left multiplication byωd. An invariant subspace ofQd) is the same thing as a left ideal, and hence eachQd)carries an irreducible sub- representation. We concludem(G)=φ (n), whereφis Euler’s totient function. If we choose a cyclic generator forG, then the diameter of the resulting Cayley graph is n−1. Theorem3.4thus yields an upper bound of 1+(2n−1−φ (n))(n−2)on the length of a synchronizing word. Ifnis prime, thenφ (n)=n−1 and so we achieve the ˇCerný bound, yielding a new proof of Pin’s theorem. In general, we do not ob- tain Dubuc’s result, although we are much closer than [6,19]. For instance, suppose n=pmwithpprime. Then one can compute that the ratio of the ˇCerný bound to our bound is approximately 1−p1 and so is nearly 1 whenpis very large.

On the other hand, supposen=p1· · ·pk is the prime factorization of a square- free numbern. Let us consider the natural generating set forGcorresponding to the direct product decompositionG∼=Zp1 × · · · ×Zpk. The diameter with respect to this generating set is(p1−1)+ · · · +(pk−1). On the other handm(G)=φ (n)= (p1−1)· · ·(pk−1). It is easy to see that as long as n is odd or k≥3, one has (p1−1)· · ·(pk−1)≥(p1−1)+ · · · +(pk−1)and so this Cayley graph ofGis a Cerný Cayley graph, something which is not a consequence of the results of [12].ˇ 4.2 Dihedral groups

Let G=Dn be the dihedral group of order 2n. Let s be a reflection and r be a rotation of ordern. Then every element of Dn can be written in one of the forms srk,rks withkn2,srkswithk <n2or rk withkn+21. Hence the diam- eter ofDn with respect to this generating set is at mostn+21. One can show that m(Dn)=φ (n). Let us just establish thatm(Dn)φ (n). Indeed, define a representa- tionρ: Dn→EndQ(Qn))by havingρ(s)act via complex conjugation andρ(r) act via multiplication byωn. We already know this representation is irreducible when restricted torand so it is irreducible forDn.

Suppose first thatn=pk withpan odd prime. Then since 1−1/p≥2/3, the formulaφ (n)=n(11p)yields

φ (n)n+1 2 ≥2n

3 −n+1

2 =n−3 6 ≥0 sincen≥3. Thus the Cayley graph ofDnwith respect tor, sis ˇCerný.

Next consider the casen=pkqwithp < q odd primes. We claim again that the Cayley graph ofDn with respect tor, s is ˇCerný. Indeed, since 1−1/p≥2/3 and 1−1/q≥4/5, fromφ (n)=n(1p1)(1q1)it follows

φ (n)n+1 2 ≥8n

15−n+1

2 =n−15 30 ≥0

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where the last equality usesn≥15.

The reader should verify that for all othern, our bound does not achieve the ˇCerný bound. The bound we obtain is 1+(nφ (n)+ n+21)(n−2), which for manynis not far from the ˇCerný bound. For example, forn=2m, one hasφ (n)=n/2. Thus our main result implies that any synchronizing automaton containing the Cayley graph of Dnwith respect tor, shas a synchronizing word of length at most 1+(n+1)(n− 2)=(n−1)2+n−2.

We shall establish later that ifp is an odd prime, then Dp andDp2 are ˇCerný groups.

4.3 Symmetric and alternating groups

It is well known that each irreducible representation of the symmetric groupSnover Qis absolutely irreducible [9]. Lettingpnbe the number of partitions ofn, it follows thatSnhaspnirreducible representations overQand the sum of their degrees squared isn!. Thuspnm(Sn)2n!and so we obtainm(Sn)≥√

n!/pn. It is a well-known re- sult of Hardy and Ramanujan thatpnexp(π2n/3)

4n

3 . On the other hand, Stirling’s formula says thatn! ∼

2π n nen

. Comparing these expressions, we see thatm(Sn) grows faster than any exponential function ofn. On the other hand, the diameter of Sn with respect to any of its usual generating sets grows polynomially withn. For instance, if one uses the Coxeter-Moore generators(12), (23), . . . , (n−1n)the di- ameter ofSnis well known to be n2

, while if one uses the generators(12), (12· · ·n), then the diameter is no bigger than(n+1)n(n−1)/2 since each Coxeter-Moore generator can be expressed as a product of length at mostn+1 in these generators.

Thus the Cayley graph ofSnwith respect to either of these generating sets is a ˇCerný Cayley graph fornsufficiently big (and sufficiently big is not very big in this case).

To deal with the alternating groupAn, we use the following lemma, which is a trivial consequence of Clifford’s theorem.

Lemma 4.1 LetGbe a group and supposeHis a subgroup of index 2. Thenm(H )m(G)/2.

Proof Letϕ: G→EndQ(V )be an irreducible representation of degreem(G)and fix s /H. Ifϕ|H is irreducible, we are done. Otherwise, letW be a properH-invariant subspace ofV affording an irreducible subrepresentation. SinceG=HsH andW isH-invariant, but not G-invariant, it follows thatsW=W. Moreover,sW is also anH-invariant subspace since if hH andwW, thenhsw=s(s1hs)wsW using that H is a normal subgroup and W is H-invariant. Moreover, sW carries an irreducible subrepresentation ofH since ifUsW is anH-invariant subspace, a routine verification yieldss1U is anH-invariant subspace ofW. Consequently WsW=0. Clearly the direct sumWsWisG-invariant, being preserved by both H ands and usingG=HsH. Thus, becauseϕ is irreducible, we conclude that V =WsW. SinceW andsW are isomorphic as vector spaces,m(G)=dimV =

2 dimW, establishing the lemma.

It is immediate from the lemma thatm(An)m(Sn)/2 and hence grows faster than any exponential function ofn. Again most of the standard generating sets forAn

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have polynomial diameter growth as a function ofn, leading to ˇCerný Cayley graphs fornlarge enough.

4.4 Special and projective special linear groups

Supposepis an odd prime and letG=SL(2, p)be the group of all 2×2 matrices of determinant 1 overZp. A standard generating setforGconsists of the matrices

x= 1 1

0 1

andy= 1 0

1 1

. (4.1)

Our goal is to show that the Cayley graphofGwith respect tox andy is a ˇCerný Cayley graph for almost all odd primes. This is the first example where we shall use the Galois theoretic description of the irreducible representations overQ. Let us begin by estimating the diameter, following [10].

A routine computation usingadbc=1 establishes that ifc=0, then a b

c d

=

1 ac1

0 1

1 0 c 1

1 dc1

0 1

. (4.2)

On the other hand ifc=0, thend=0 and a b

0 d

=

ab b

d d 1 0 1 1

. (4.3)

Putting together (4.2) and (4.3) (and usingd=0 in (4.3) to apply (4.2) to the first matrix in the product) we conclude the diameter diam(G)is at most 3(p−1)+1= 3p−2.

We shall require a lemma about cyclotomic fields for the proof.

Lemma 4.2 Letα=cos 2π/nwithn3. Then[Q(α):Q] =φ (n)/2.

Proof The intersectionF ofQn)with the realsRis the fixed-field of the automor- phismσ ∈Gal(Qn):Q)given byσ (z)=z(complex conjugation). Moreover,σ is non-trivial asn≥3 impliesωn/R. SinceQn)is a Galois extension ofQ, it follows that[Qn):F] = |σ| =2. Thus

φ (n)= [Qn):Q] = [Qn):F][F :Q] =2[F:Q]

and so[F :Q] =φ (n)/2. Therefore, it suffices to proveF =Q(α). Clearly α=

1

2n+ωn)F, so we are left with establishing the containmentF ⊆Q(α). It is easy to see that 12(1+σ )is the projection fromQn)toF and soF is spanned by the elements 12nm+ωmn)=cos 2π m/nwith 0≤mφ (n)−1. LetTm be the mt h-Chebyshev polynomial of the first kind [10]. This is a polynomial with inte- ger coefficients satisfyingTm(cosθ )=cosand can be obtained by expanding the right-hand side of De Moivre’s formula. It follows that cos 2π m/nis a polynomial with integer coefficients in cos 2π/n=αand soF ⊆Q(α), as required.

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To conclude the proof, we use the character table ofSL(2, p), which goes back to Frobenius and Schur. It can be found for instance in [11, Chpt. 38]. It turns out thatSL(2, p) has irreducible complex charactersξ1of degreep+1 withQ1)= Q(cosp1)and ξ2 of degreep−1 with character fieldQ2)=Q(cosp+1). We deduce from Lemma4.2and the estimate (2.2) from Theorem2.5that

m(SL(2, p))≥max

(p+1)φ (p−1)

2 , (p−1)φ (p+1) 2

. (4.4)

To compare the diameter to m(SL(2, p)), first note that φ (n)≥8 for all n >18.

Consequently when our primepis at least 19, then m(SL(2, p))(p−1)φ (p+1)

2 ≥4(p−1)≥3(p−1)+1

and hence we have a ˇCerný Cayley graph. Forp=17, a direct computation using (4.4) shows that the graph is a ˇCerný Cayley graph. Forp=3,5,7,11,13 our estimates do not suffice to prove that the graphis a ˇCerný Cayley graph.

Let us next consider the case of the projective special linear group G = P SL(2, p)=SL(2, p)/I}. We choose the cosets of the matricesx andy from (4.1) as generators and with respect to this generating set, the Cayley graphofG still has diameter at most 3(p−1)+1. The complex characters ofP SL(2, p) are also computed in [11, Chpt. 38]. Here one finds an irreducible character of degree p+1 with character fieldQ(cos(p1)/2)and one of degree p−1 with character fieldQ(cos(p+1)/2). Arguing as above yields

m(P SL(2, p))≥max p+1

2 ·φ p−1

2

,p−1 2 ·φ

p+1 2

. (4.5)

Again using thatφ (n)≥8 whenevern >18, we conclude that as long asp≥37, the graph is a ˇCerný Cayley graph. Direct computation with the estimate (4.5) shows that, forp=19,23,29,31, we also obtain a ˇCerný Cayley graph. That is, for p≥19, the Cayley graph ofP SL(2, p) with the above generating set is a ˇCerný Cayley graph. Our estimates fail to handle the casesp=3,5,7,11,13,17.

5 Further examples of ˇCerný Cayley graphs and ˇCerný groups

In this section we consider some Cayley graphs for which Theorem3.4is not strong enough to prove that they are ˇCerný, but the ideas underlying the theorem do suffice.

In the process we give the first examples of non-cyclic ˇCerný groups. Our main tool is the following lemma, whose proof is similar to that of the Gap Bound.

Lemma 5.1 Assume the Standard Setup. Let Abe a subgroup of G and suppose that, for some 0ks, one has the decomposition Wk=Wk−1Uk where the subspaceUk affords a representationψ:A→EndQ(Uk)ofAso that: each coset ofH=A/kerψ has a representative in of length at mostck and eitherψ is a non-trivial irreducible representation ofA, orA=G. Then there exists a wordt of length at mostnso that|St1|>|S|.

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