Words Maps and Spectra of Random Graph Lifts

Nati Linial, Doron Puder

Abstract

We study here the spectra of random lifts of graphs. Let GG be a finite connected graph, and let the infinite tree TT be its universal cover space. If λ1\lambda_{1} and ρ\rho are the spectral radii of GG and TT respectively, then, as shown by Friedman [Fri03], in almost every nn-lift HH of GG, all “new” eigenvalues of HH are ≤O(λ1  1/2ρ1/2)\leq O\left(\lambda_{1}^{\;1/2}\rho^{1/2}\right). Here we improve this bound to O(λ1  1/3ρ2/3)O\left(\lambda_{1}^{\;1/3}\rho^{2/3}\right). It is conjectured in [Fri03] that the statement holds with the bound ρ+o(1)\rho+o(1) which, if true, is tight by [Gre95]. For GG a bouquet with d/2d/2 loops, our arguments yield a simple proof that almost every dd-regular graph has second eigenvalue O(d2/3)O(d^{2/3}). For the bouquet, Friedman [Fri] has famously proved the (nearly?) optimal bound of 2d−1+o(1)2\sqrt{d-1}+o(1).

As an aside, we obtain a new conceptual and relatively simple proof of a theorem of A. Nica [Nica94], which determines, for every fixed ww, the limit distribution (as n→∞n\to\infty) of Xw(n)X_{w}^{(n)}. A surprising aspect of this theorem is that the answer depends only on the largest integer dd so that w=udw=u^{d} for some word uu.

Introduction

Let G=(V,E)G=(V,E) be some fixed finite connected graph with E={g1,…,gk}E=\{g_{1},\ldots,g_{k}\}, and let λ1≥λ2…≥λ∣V∣\lambda_{1}\geq\lambda_{2}\ldots\geq\lambda_{|V|} be the eigenvalues of its adjacency matrix. We think of the edges as being oriented, though the results do not depend on the orientation chosen. We recall that Ln(G)L_{n}(G) denotes the probability space of nn-lifts of GG (i.e., graphs that have an nn-fold cover map onto GG). A graph H∈Ln(G)H\in L_{n}(G), has vertex set V×{1,…,n}V\times\{1,\ldots,n\}. For every (oriented) edge gi=(u,v)g_{i}=(u,v), we choose independently and uniformly a random permutation, σi∈Sn\sigma_{i}\in S_{n}, and introduce an edge between (u,j)(u,j) to (v,σi(j))(v,\sigma_{i}(j)) for all jj. For background on lifts and random lifts, see [LR05, AL06, ALM02, HLW06]. In particular [BL06] shows how to construct regular graph lifts with a nearly optimal spectral gap.

Let μmax:=max{∣μ∣ : μ is a new eigenvalue of H}\mu_{max}:=max\{|\mu|~{}:~{}\mu\textrm{~{}is a new eigenvalue of~{}}H\}. In [Fri03], Friedman showed that μmax≤λ1  1/2ρ1/2+on(1)\mu_{max}\leq\lambda_{1}^{\;1/2}\rho^{1/2}+o_{n}(1) for almost every HH. We improve this bound as follows:

Almost every random nn-lift HH of GG satisfies:

Let Γ\Gamma be a (not necessarily finite) connected graph, and let vv be a vertex in Γ\Gamma. We denote by ts(v)t_{s}(v) the number of closed paths of length ss that start and end at vv. It is well known that the spectral radius of Γ\Gamma equals lim sup⁡s→∞ts(v)1/s\limsup_{s\to\infty}t_{s}(v)^{1/s}. In particular, this value is independent of the choice of vv. (These facts may be proven by an easy variation on the proof of Proposition 3.1 in [Buc86].) Returning to our notation, observe that a path that starts and ends at a vertex v∈V(T)v\in V(T) is projected to a path of the same length that starts and ends at the corresponding vertex of GG. Consequently, ρ≤λ1\rho\leq\lambda_{1} always holds.

Our proof of Theorem 1 suggests an approach that may lead to an even better (nearly optimal) bound μmax≤O(ρ)\mu_{max}\leq O\left(\rho\right). This plan depends on an unresolved conjecture that we present shortly. It follows from Lubotzky and Greenberg [Gre95] that this statement cannot hold with any bound smaller than ρ−o(1)\rho-o(1). It is shown in [Gre95] that for every infinite tree TT and for every ϵ>0\epsilon>0, there exists a constant c=c(ϵ,T)>0c=c(\epsilon,T)>0, such that if TT is the universal covering space of a finite graph Γ\Gamma, then at least c∣V(Γ)∣c|V(\Gamma)| of Γ\Gamma’s eigenvalues exceed ρ(T)−ϵ\rho(T)-\epsilon. Thus for GG fixed, and for ϵ>0\epsilon>0 there exists an nϵn_{\epsilon} such that μmax(H)>ρ(G)−ϵ\mu_{max}(H)>\rho(G)-\epsilon for every n≥nϵn\geq n_{\epsilon} and every H∈Ln(G)H\in L_{n}(G). (Since the infinite dd-regular tree TdT_{d} has spectral radius ρ(Td)=2d−1\rho(T_{d})=2\sqrt{d-1} ([Car72]), this extends the Alon-Boppana bound [Nil91] that λ2≥2d−1−on(1)\lambda_{2}\geq 2\sqrt{d-1}-o_{n}(1) for every nn-vertex dd-regular graph).

The “permutation model” of random dd-regular graphs (for dd even) is a special case of random lifts of graphs. In the permutation model, nn-vertex dd-regular graphs are generated through a random nn-lift of a bouquet of d/2d/2 loops. Thus, our result, as well as Friedman’s, extend earlier work on random dd-regular graphs. Namely, Friedman’s result states that λ(G)≤2dd−1+o(1)\lambda(G)\leq\sqrt{2d\sqrt{d-1}}+o(1) for almost every dd-regular graph, which is a slight improvement of an old result of Broder and Shamir [BS87]. In this special case, Theorem 1 states that λ(G)=O(d2/3)\lambda(G)=O(d^{2/3}) holds almost surely, and the tentative proof strategy mentioned above would yield λ(G)=O(d1/2)\lambda(G)=O(d^{1/2}) almost surely. In particular, we obtain the following corollary (which is, of course, substantially weaker than the one proven in [Fri]):

If GG is dd-regular and d≥107d\geq 107, then

A major tool in this area is the Trace Method which goes back to Wigner [Wig55]. It is based on a natural connection between graph spectra and word-maps. This approach underlies the work of Broder-Shamir [BS87] and of Friedman [Fri03].

Let ww be a (not necessarily reduced) formal word in the letters g1±1,…,gk±1g_{1}^{\pm 1},\ldots,g_{k}^{\pm 1}. For every kk-tuple (σ1,…,σk)(\sigma_{1},\ldots,\sigma_{k}) of permutations in SnS_{n}, we form the permutation w(σ1,…,σk)∈Snw(\sigma_{1},\ldots,\sigma_{k})\in S_{n}, by replacing g1,…,gkg_{1},\ldots,g_{k} with σ1,…,σk\sigma_{1},\ldots,\sigma_{k} in the expression of ww. For instance, if w=g2g1  2g2  −1g3w=g_{2}g_{1}^{\;2}g_{2}^{\;-1}g_{3}, then w(σ1,σ2,σ3)=σ2σ1  2σ2  −1σ3w(\sigma_{1},\sigma_{2},\sigma_{3})=\sigma_{2}\sigma_{1}^{\;2}\sigma_{2}^{\;-1}\sigma_{3}. The correspondence between ww and the permutation w(σ1,…,σk)∈Snw(\sigma_{1},\ldots,\sigma_{k})\in S_{n} is called a word map. Such maps can be evaluated in groups other than SnS_{n} as well (we refer to this briefly in Section 2). The study of word maps has a long history in group theory (see [LSh07] and the references therein). Our perspective is mostly combinatorial and probabilistic.

For fixed formal word ww we denote by Xw(n)X_{w}^{(n)} a random variable on Sn  kS_{n}^{\;k} which is defined by:

Now let HH be an nn-lift of GG and let AG,AHA_{G},A_{H} be the adjacency matrices of G,HG,H resp. We denote by μ\mu a running index for the “new” eigenvalues of HH. For every t≥1t\geq 1, the trace of AH   tA_{H}^{\;~{}t} equals the number of closed paths of length tt in HH. This number can also be expressed as (∑μμt)+(∑i=1∣V(G)∣λi  t)\left(\sum_{\mu}\mu^{t}\right)+\left(\sum_{i=1}^{|V(G)|}\lambda_{i}^{\;t}\right). Therefore, for tt even we obtain:

Every closed path in HH is a lift of a closed path in GG. Since the edges of GG are labeled g1,…,gkg_{1},\ldots,g_{k}, every (closed) path in GG corresponds to some formal word ww in g1±1,…,gk±1g_{1}^{\pm 1},\ldots,g_{k}^{\pm 1}. The closed lifts of this path are in 1:11:1 correspondence with the fixed points of w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}), so that their number is Xw(n)(σ1,…,σk)X_{w}^{(n)}(\sigma_{1},\ldots,\sigma_{k}). Let CPt(G){\cal CP}_{t}(G) denote the set of all closed paths of length tt in GG (i.e., ∣CPt(G)∣=tr(AG  t)|{\cal CP}_{t}(G)|=tr(A_{G}^{\;t})). The above inequality now becomes:

We consider next (Section 2.2) another categorization of the words in Fk\mathbf{F}_{k}, which does not depend on a word-map to specific groups such as SnS_{n}. To every w∈Fkw\in\mathbf{F}_{k} we associate β(w)\beta(w) which is a non-negative integer or ∞\infty. The categorizations induced by both ϕ(w)\phi(w) and β(w)\beta(w) extend the dichotomy between primitive and imprimitive words (Recall that ww is called imprimitive if w=udw=u^{d} for some u∈Fku\in\mathbf{F}_{k} and d≥2d\geq 2). Without going into the (somewhat lengthy) definition, let us say that the main step in both [BS87] and [Fri03] can be viewed as the observation that for i=0,1i=0,1, ϕ(w)=i\phi(w)=i iff β(w)=i\beta(w)=i. Our aforementioned conjecture states in this language that ϕ(w)=β(w)\phi(w)=\beta(w) for every word ww (Conjecture 15). These relations between ϕ\phi and β\beta allow us to bound the sum in the r.h.s of (3): We can bound the contribution of ww to this sum in terms of ϕ(w)\phi(w). This is complemented by bounding the number of words w∈CPt(G)w\in{\cal CP}_{t}(G) with a given value of β(w)\beta(w) which bound is stated in terms of ρ\rho. Indeed, a key step in the present paper (Lemma 20) can be interpreted as a partial proof of the claim that β(w)=2\beta(w)=2 iff ϕ(w)=2\phi(w)=2.

As an aside to our work we obtain a new conceptual and relatively simple proof of a theorem of A. Nica [Nica94], which determines for every fixed ww the limit distribution of Xw(n)X_{w}^{(n)} as n→∞n\to\infty (see Theorem 25). We carry out a similar analysis for all higher moments of Xw(n)X_{w}^{(n)}, and use the method of moments to derive Nica’s result. A surprising aspect of this theorem is that the limit distribution depends only on the largest integer dd such that w=udw=u^{d} for some u∈Fku\in\mathbf{F}_{k}. Nica’s full result (which we derive by the same argument) concerns not only fixed points but applies just as well to the number of LL-cycles for any fixed L≥1L\geq 1.

The paper is arranged as follows. We begin (Section 2) with our analysis of word maps and introduce the two new categorizations of formal words. Based on this analysis, we prove Theorem 1 in Section 3. In Section 4 we deal with the distribution of the number of LL-cycles in w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}) and present our new proof for Nica’s Theorem. For the reader interested only in this new proof, this section is mostly self-contained with only occasional references to earlier parts of the paper. There are numerous open problems and conjectures raised in this paper, some of which we collect in Section 5.

Word Maps and the Level of Primitivity of a Word

We begin with some notation. We denote by Σk\Sigma_{k} the set of all finite words in letters g1±1,…,gk±1g_{1}^{\pm 1},\ldots,g_{k}^{\pm 1} (though we occasionally use the letters a,b,c,…a,b,c,\ldots instead). The quotient of Σk\Sigma_{k} modulo reduction of words is Fk\mathbf{F}_{k}, the set of elements of the free group on kk generators. For instance, the set CPt(G){\cal CP}_{t}(G) introduced before Equation (3) is a subset of Σk\Sigma_{k}, so it may contain different words which are equivalent as members of Fk\mathbf{F}_{k}.

For every group PP and every word w∈Σkw\in\Sigma_{k}, the word map w:Pk→Pw:P^{k}\rightarrow P is defined by substitutions and composition. For p1,…,pk∈Pp_{1},\ldots,p_{k}\in P, the element w(p1,…,pk)w(p_{1},\ldots,p_{k}) is obtained by substituting pip_{i} for each occurrence of gig_{i} in ww and this for every 1≤i≤k1\leq i\leq k. Clearly, the word map of ww is invariant under reductions, so we can regard ww as an element in Fk\mathbf{F}_{k}.

Most research on word maps concerns the range of certain fixed words ww in a group PP. More specifically, for PP finite, it is of interest to understand the distribution induced on PP by the word map w:Pk→Pw:P^{k}\rightarrow P and the uniform distribution on PkP^{k}. This perspective makes it natural to consider an equivalence relation on words (beyond that of reduction).

In order to introduce this equivalence relation, we now recall some simple terminology from combinatorial group theory. There are three elementary Nielsen transformations defined on the free group Fk\mathbf{F}_{k}: (i) Exchanging any two generators gig_{i} and gjg_{j} for some i≠ji\neq j, (ii) Replacing some gig_{i} with gi−1g_{i}^{-1}, (iii) Replacing any gig_{i} by gigjg_{i}g_{j}, for some i≠ji\neq j. We recall (e.g. [MKS66], Theorem 3.2) that these transformations generate the automorphism group Ak\mathbf{A}_{k} of Fk\mathbf{F}_{k}. We say that two words w1,w2∈Fkw_{1},w_{2}\in\mathbf{F}_{k} are equivalent, and denote w1∼w2w_{1}\sim w_{2}, if they belong to the same orbit of Ak\mathbf{A}_{k}. Obviously, ‘‘∼"``\sim" is an equivalence relation. It is quite clear that for every finite group PP, every two equivalent words w1,w2∈Fkw_{1},w_{2}\in\mathbf{F}_{k} induce the same distribution on PP. We do not know whether the converse is true as well, and we state a specific problem (Conjecture 17) in this vein.

Given a word ww and the distribution it induces on a group PP, it is of interest to consider how far this distribution is from the uniform distribution. The two gradings of words ϕ(⋅)\phi(\cdot) and β(⋅)\beta(\cdot) can be viewed as our attempts to capture this intuition. Both parameters associate a non-negative integer or ∞\infty with every w∈Fkw\in\mathbf{F}_{k}, and they tend to grow as the above-mentioned distance decreases. Of course, the distribution furthest away from the uniform distribution corresponds to the word w=1w=1. Indeed, β(w)=0\beta(w)=0 iff ϕ(w)=0\phi(w)=0 iff w=1w=1 (Lemma 12). Also, β(w)=1\beta(w)=1 iff ϕ(w)=1\phi(w)=1 iff ww is imprimitive (Lemma 13). In this case the range of ww contains only powers of certain exponent. (Recall that w∈Fkw\in\mathbf{F}_{k} is called imprimitive if w=udw=u^{d} for some word uu and d≥2d\geq 2.) At the other end of the scale, both β(w)\beta(w) and ϕ(w)\phi(w) equal ∞\infty for words that are ∼\sim-equivalent to a single-letter word. Clearly, such words always induce the uniform distribution on PP. Another important property is that both β\beta and ϕ\phi are invariant under ‘‘∼"``\sim".

The definition of ϕ(w)\phi(w) depends on the word map for the symmetric group SnS_{n} (see Section 2.1). The definition of β(w)\beta(w) is more involved and is based on a certain analysis of ww as a formal word without reference to groups (see Section 2.2). In fact, we have arrived at our definition of β(w)\beta(w) through our study of ϕ(w)\phi(w). Some proven results and extensive numerical simulations suggest that ϕ(w)=β(w)\phi(w)=\beta(w) for every ww (Section 2.3). One advantage of the parameter β\beta over ϕ\phi is that we can bound the number of words with fixed value of β\beta - see Section 3.1.

Since both ϕ(w)\phi(w) and β(w)\beta(w) offer an extension of the primitive-imprimitive dichotomy for words, we tend to think of them as quantifying “the level of primitivity” of a word (this level is 0 if w=1w=1, it is 1 if ww is imprimitive, and ≥2\geq 2 for primitive words - see Section 2.3).

In this section we present a method to calculate the expectation of Xw(n)X_{w}^{(n)}, the number of fixed points in w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}) (defined in (6)). We count the fixed points in w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}) for all kk-tuples (σ1,…,σk)∈Sn  k(\sigma_{1},\ldots,\sigma_{k})\in S_{n}^{\;k} and divide by (n!)k(n!)^{k}. This calculation is carried out through a certain categorization of all fixed points. We note that similar considerations appear in [Nica94] and in [Fri91].

We begin with some technicalities. Let w=gi1  α1gi2  α2…gim  αm∈Σkw=g_{i_{1}}^{\;\alpha_{1}}g_{i_{2}}^{\;\alpha_{2}}\ldots g_{i_{m}}^{\;\alpha_{m}}\in\Sigma_{k}, where i1,…,im∈{1,…,k}i_{1},\ldots,i_{m}\in\{1,\ldots,k\} and α1,…,αm∈{−1,1}\alpha_{1},\ldots,\alpha_{m}\in\{-1,1\}, and let σ1,…,σk∈Sn\sigma_{1},\ldots,\sigma_{k}\in S_{n}. Assume that s0∈{1,…,n}s_{0}\in\{1,\ldots,n\} is a fixed point of w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}). Associated with s0s_{0} is the following closed trail:

with s1,…,sm−1∈{1,…,n}s_{1},\ldots,s_{m-1}\in\{1,\ldots,n\}, and sb mod m=σib  αb(sb−1)s_{b~{}\textrm{mod}~{}m}=\sigma_{i_{b}}^{\;\alpha_{b}}(s_{b-1}) (b=1,…,mb=1,\ldots,m).

Note that for the sake of convenience, we compose permutations from left to right. This is inconsequential for the analysis of the variables Xw(n)X_{w}^{(n)} since w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}) with left-to-right composition is the inverse of w(σ1  −1,…,σk  −1)w(\sigma_{1}^{\;-1},\ldots,\sigma_{k}^{\;-1}) with right-to-left composition, and thus both have the same cycle structure.

We categorize fixed points according to their associated trails. Let s0→…→sm−1→s0s_{0}\to\ldots\to s_{m-1}\to s_{0} and s0′→…→sm−1′→s0′s^{\prime}_{0}\to\ldots\to s^{\prime}_{m-1}\to s^{\prime}_{0} be the trails of the fixed points s0s_{0} and s0′s^{\prime}_{0} in w(σ1,…σk)w(\sigma_{1},\ldots\sigma_{k}) and w(σ1′,…,σk′)w(\sigma^{\prime}_{1},\ldots,\sigma^{\prime}_{k}) respectively. These two trails are placed in the same category, if they have the same coincidence pattern, that is, if for every i,j∈{0,…,m−1}i,j\in\{0,\ldots,m-1\}, si=sj⇔si′=sj′s_{i}=s_{j}\Leftrightarrow s^{\prime}_{i}=s^{\prime}_{j}.

Each closed trail consists of mm integers, or points, possibly with repetitions, and each category of trails uniquely corresponds to some partition of these mm points. Consequently, there are at most B(m)B(m) categories, where the mm-th Bell Number, B(m)B(m), is the number of partitions of an mm element set. This bound is, however, not tight. For instance, if sa+1=σj(sa)s_{a+1}=\sigma_{j}(s_{a}) and sb+1=σj  −1(sb)s_{b+1}=\sigma_{j}^{\;-1}(s_{b}), then sa=sb+1⇔sa+1=sbs_{a}=s_{b+1}\Leftrightarrow s_{a+1}=s_{b}. Therefore, not every partition corresponds to a realizable category of trails.

It is convenient to associate a directed edge-colored graph Γ\Gamma with each category. Vertices in Γ\Gamma correspond to blocks in the partition that defines Γ\Gamma’s category. In other words, Γ\Gamma has as many vertices as the number of distinct integers among the sbs_{b}’s. There is a directed edge labeled jj from one vertex (=block) to another, whenever the trails include an arrow labeled σj\sigma_{j} (resp. σj  −1\sigma_{j}^{\;-1}) from a point in the first (second) block to a point in the second (first) one.

Of special importance is the graph associated with the finest possible partition which we call the universal graph. Two points in the trail are merged in this partition if and only if they are merged in every realizable partition. If ww is cyclically reduced (i.e., no two consecutive letters are inverses, nor are the first and last letter), this is the partition where all mm points in the trail are distinct. To illustrate, we draw in Figure 1 the universal graph of three different words.

All other graphs are now easily derived as quotients of the universal graph, or partitions of its vertices. A quotient graph has one vertex per each block in the partition. It has a jj-labeled directed edge (jj-edge for short) from block v1v_{1} to block v2v_{2}, if the universal graph contains a jj-edge from a vertex in v1v_{1} to a vertex in v2v_{2}. A quotient is not realizable if it contains two distinct jj-edges with common head and different tails or vice-versa. We denote by Qw{\cal Q}_{w} the set of all realizable quotients .

To illustrate, we draw (Figure 2) all the realizable quotient graphs of the universal graph of the commutator word (one of the graphs in Figure 1). Note that a four element set has 15 partitions (the fourth Bell number, B(4)=15B(4)=15), of which only 7 are realizable in this case.

These graphs suggest a simple formula for the number of fixed points in each category. Let vΓv_{\Gamma}, (eΓe_{\Gamma}) be the number of vertices (edges) in the graph Γ\Gamma, and eΓje_{\Gamma}^{j} be the number of jj-edges (and so eΓ=∑j=1keΓje_{\Gamma}=\sum_{j=1}^{k}e_{\Gamma}^{j}). To count the number of fixed points in Γ\Gamma’s category, or the number of realizations of Γ\Gamma, we first label Γ\Gamma’s vertices by distinct numbers from {1,…,n}\{1,\ldots,n\} (i.e., specify the values of s0,…,sm−1s_{0},\ldots,s_{m-1}) . This can be done in n(n−1)…(n−vΓ+1)n(n-1)\ldots(n-v_{\Gamma}+1) ways. For each j=1,…,kj=1,\ldots,k there are \big{(}n-e_{\Gamma}^{j}\big{)}! permutations that are consistent with the eΓje_{\Gamma}^{j} values in the permutation σj\sigma_{j} that are already determined. Thus, the number of realizations of Γ\Gamma is:

A formula for the expectation of Xw(n)X_{w}^{(n)} is now at hand:

(The third equality holds only for nn that is ≥eΓj\geq e_{\Gamma}^{j} for all jj and Γ\Gamma.)

We illustrate these calculations for ww the commutator word g1g2g1  −1g2  −1g_{1}g_{2}g_{1}^{\;-1}g_{2}^{\;-1}. If we go over the graphs in Figure 2 in clockwise order starting at the upper-left graph, (6) becomes:

Associated with every w∈Fkw\in\mathbf{F}_{k} is a power series ∑i=0∞ai(w)xi\sum_{i=0}^{\infty}a_{i}(w)x^{i} that has a positive radius of convergence where the coefficients ai(w)a_{i}(w) are integers. In particular, for every ww and for every sufficiently large nn, there holds Φw(n)=∑i=0∞ai(w)1ni\Phi_{w}(n)=\sum_{i=0}^{\infty}a_{i}(w)\frac{1}{n^{i}}.

As we saw in (6), for large enough nn (e.g., n≥∣w∣n\geq|w| suffices),

Since every Γ\Gamma is a connected graph, we have eΓ−vΓ+1≥0e_{\Gamma}-v_{\Gamma}+1\geq 0. The lemma follows when we individually consider the expression corresponding to each Γ\Gamma. (See the proof of Lemma 19 for a thorough analysis of these expressions). ∎

By Lemma 4, the contribution of every w∈CPt(G)w\in{\cal CP}_{t}(G) in (3), is ai(w)+o(1)ni−1\frac{a_{i}(w)+o(1)}{n^{i-1}} for some nonnegative integer ii. This induces the following useful grading of words:

Recall that although the construction of Φw\Phi_{w} depends on the actual representation of ww (a reduction of ww usually changes Qw{\cal Q}_{w}), this function captures some features of the distribution of the image of ww on SnS_{n}. Thus Φw\Phi_{w}, as well as ϕ(w)\phi(w), are invariant not only under reduction, but also under ‘‘∼"``\sim".

With this new terminology we can reinterpret both [BS87] and [Fri03] as follows: Both papers rely on the fact that ϕ(w)=0\phi(w)=0 iff ww reduces to the empty word, and that ϕ(w)=1\phi(w)=1 iff ww is imprimitive (see Lemmas 12 and 13). To study the new spectrum of random lifts, one proceeds as follows: The number of words of these two kinds can be bounded in terms of ρ\rho (the spectral radius of the universal cover) alone (and does not depend on λ1\lambda_{1}, the spectral radius of the base graph). Finally, the rest of the words (which are, in fact, the vast majority) contribute to the summation in (3) only O(1n)O\left(\frac{1}{n}\right) each.

Here we extend these ideas and seek (with partial success) a similar characterization for all words with ϕ(w)=i\phi(w)=i for fixed ii. Our analysis of the new spectrum extends these arguments and refines them. We further split the above-mentioned third set and attain an improved bound on the contributions of these subsets to the sum in Equation (3).

2 More on the Level of Primitivity: β​(⋅)𝛽⋅\beta(\cdot)

We now start our second attempt at capturing the “level of primitivity” of ww by means of the parameter β(w)\beta(w). We begin with some definitions.

Recall the notion of a trail from Section 2.1. Consider then the following trail through w=gi1  α1gi2  α2…gi∣w∣  α∣w∣w=g_{i_{1}}^{\;\alpha_{1}}g_{i_{2}}^{\;\alpha_{2}}\ldots g_{i_{|w|}}^{\;\alpha_{|w|}} (this time, the sis_{i}’s should not be thought of as numbers but rather as abstract symbols, and the trail deliberately ends with s∣w∣s_{|w|} and not with s0s_{0}):

As in our former definition of a realizable category of trails, we say that a partition of {s0,…,s∣w∣}\{s_{0},\ldots,s_{|w|}\} is realizable if the following conditions hold: Whenever ih=ili_{h}=i_{l} and αh=αl\alpha_{h}=\alpha_{l}, sh−1s_{h-1} is in the same block with sl−1s_{l-1} (we denote sh−1≡sl−1s_{h-1}\equiv s_{l-1}) iff sh≡sls_{h}\equiv s_{l}. Likewise, whenever ih=ili_{h}=i_{l} and αh=−αl\alpha_{h}=-\alpha_{l}, sh−1≡sl⇔sh≡sl−1s_{h-1}\equiv s_{l}\Leftrightarrow s_{h}\equiv s_{l-1}. (In other words, a partition is realizable whenever it traces a trail of some point, fixed or not, through w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}) for some σ1,…,σk∈Sn\sigma_{1},\ldots,\sigma_{k}\in S_{n} and some nn.)

As before, to each realizable partition of {s0,…,s∣w∣}\{s_{0},\ldots,s_{|w|}\} corresponds a directed edge-colored graph Γ\Gamma, which is a quotient of the graph of the trail. According to our former notation, Γ∈Qw\Gamma\in{\cal Q}_{w} whenever s0≡s∣w∣s_{0}\equiv s_{|w|}. We now concentrate on the number of pairs of sis_{i}’s that should be merged in order to yield a specific Γ\Gamma.

Let Γ\Gamma be the quotient graph corresponding to some realizable partition of {s0,…,s∣w∣}\{s_{0},\ldots,s_{|w|}\}. We say that set of pairs {{sj1,sk1},…,{sjr,skr}}\left\{\{s_{j_{1}},s_{k_{1}}\},\ldots,\{s_{j_{r}},s_{k_{r}}\}\right\} generates Γ\Gamma, if Γ\Gamma corresponds to the finest realizable partition in which sji≡ski ∀i=1,…,rs_{j_{i}}\equiv s_{k_{i}}~{}\forall i=1,\ldots,r.

Let us return to the commutator word w=g1g2g1  −1g2  −1w=g_{1}g_{2}g_{1}^{\;-1}g_{2}^{\;-1}. The trail here is

In Figure 3 we revisit the seven quotient graphs from Figure 2 (the seven graphs in Qw{\cal Q}_{w}), and specify a smallest generating set for each of them.

We denote by χ(Γ)=eΓ−vΓ+1\chi(\Gamma)=e_{\Gamma}-v_{\Gamma}+1 the Euler characteristic of Γ\Gamma. It turns out that there is a tight connection between χ(Γ)\chi(\Gamma) and the smallest size of a generating set of Γ\Gamma:

Let Γ\Gamma be the quotient graph corresponding to some realizable partition of {s0,…,s∣w∣}\{s_{0},\ldots,s_{|w|}\}. The smallest cardinality of a generating set for Γ\Gamma is χ(Γ)\chi(\Gamma).

It is quite easy to construct a set S^\widehat{S} of χ(Γ)\chi(\Gamma) pairs that generates Γ\Gamma. To this end, we adopt the original terminology of [BS87]. As we follow the path of ww through Γ\Gamma, each move has one of three types. In a free step we traverse a new edge and reach a new vertex, and so one vertex and one edge are added to the partial graph. In a coincidence a new edge leads us to an “old” vertex, so we gain one new edge and no new vertices. In a forced step we traverse an old edge (necessarily to an old vertex), so the numbers of vertices and edges remain unchanged. Consequently, χ(Γ)\chi(\Gamma) equals the number of coincidences in this walk. We introduce into S^\widehat{S} one pair for each coincidence. If the jj-th step is a coincidence in which we reach a vertex in Γ\Gamma representing the block si1,…,sir (i1≤…≤ir<j)s_{i_{1}},\ldots,s_{i_{r}}~{}(i_{1}\leq\ldots\leq i_{r}<j), we add {sj,si1}\{s_{j},s_{i_{1}}\} to S^\widehat{S}. Clearly, the cardinality of S^\widehat{S} is χ(Γ)\chi(\Gamma) and it generates Γ\Gamma.

To see that Γ\Gamma has no generating set smaller than S^\widehat{S}, consider S{\cal S}, the collection of all generating sets of Γ\Gamma of the smallest possible cardinality. We claim that S^\widehat{S} is the lexicographically first member of S{\cal S}. Concretely, write each pair under consideration as {si,sj}\{s_{i},s_{j}\} with i>ji>j. Now sort the pairs in each S∈SS\in{\cal S} in increasing lexicographic order and let T∈ST\in{\cal S} be the lexicographically first member of S{\cal S}. Our claim is that T=S^T=\widehat{S}. Observe that if {si,sj}∈T\{s_{i},s_{j}\}\in T then there is no index h<ih<i with h≠jh\neq j with {si,sh}∈T\{s_{i},s_{h}\}\in T. Otherwise we could replace the pair {si,sj}\{s_{i},s_{j}\} with the pair {sh,sj}\{s_{h},s_{j}\} and generate the same quotient as does TT with a lexicographically smaller set of pairs.

It is helpful to consider for each 1≤i≤∣w∣1\leq i\leq|w| the graph Γi\Gamma_{i} that is the quotient of s0→…→sis_{0}\to\ldots\to s_{i} generated by the initial segments of TT that includes only those pairs in TT where both indices are ≤i\leq i. We claim that Γi−1\Gamma_{i-1} is a subgraph of Γi\Gamma_{i} for all ii. If there is no pair in TT where sis_{i} is the larger member, this is clear. If {si,sj}\{s_{i},s_{j}\} is in TT then the index jj is uniquely defined by the above remark. In this case we need to show that the identification of sis_{i} with sjs_{j} does not entail any additional identification (which would violate the inclusion Γi−1⊆Γi\Gamma_{i-1}\subseteq\Gamma_{i}). How can such an identification occur? Only if the label of the edge (si−1,si)(s_{i-1},s_{i}) agrees with that of an edge ee incident with the block that contains sjs_{j} (and has the correct orientation). Let sνs_{\nu} be a member of the block at the other end of ee. Clearly ν<i\nu<i. But now again we can generate the quotient generated by TT by a lexicographically smaller set, i.e., replace the pair {si,sj}\{s_{i},s_{j}\} by {si−1,sν}\{s_{i-1},s_{\nu}\}.

We can again recognize the three types of steps by observing how the graphs Γi\Gamma_{i} grow at each step. If Γi\Gamma_{i} stays unchanged, this is a forced move. If only an edge is added, this is a coincidence and in a free step one vertex and one edge are added. It is exactly at each coincidence step that vertices at TT get merged. But this is precisely what we did in constructing S^\widehat{S}, so that S^=T\widehat{S}=T, as claimed.

The following categorization of the quotient graphs in Qw{\cal Q}_{w} turns out to be very useful:

Let ww be a word in Σk\Sigma_{k}. We say that a quotient graph Γ∈Qw\Gamma\in{\cal Q}_{w} has type A, if one of the smallest generating sets for Γ\Gamma contains the pair {s0,s∣w∣}\{s_{0},s_{|w|}\}. Otherwise, we say Γ\Gamma has type B.

Given a word ww, we classify the graphs in Qw{\cal Q}_{w} according to their characteristics and type. Note that χ(Γ)≤∣w∣\chi(\Gamma)\leq|w|, since every Γ\Gamma has at most ∣w∣|w| edges. We illustrate this again with the seven graphs of the commutator word: The figure-eight graph with one vertex and two edges has type B. The other six graphs have type A (their generating sets specified in Figure 3 purposely include {s0,s4}\{s_{0},s_{4}\}). Table 1 shows the whole census.

We are now ready for the second definition for a word’s “level of primitivity”. Let ww be a word in Σk\Sigma_{k}. We define β(w)\beta(w) to be the smallest characteristic of a type-B graph in Qw{\cal Q}_{w}. Namely,

In the next few lemmas we establish several properties of β(⋅)\beta(\cdot) which are clearly desirable. Among others, β(⋅)\beta(\cdot) is proved to be invariant under reductions, and hence well defined as a function on Fk\mathbf{F}_{k}.

β(⋅)\beta(\cdot) is invariant under cyclic shifts.

Let w∈Σkw\in\Sigma_{k}, and let w′w^{\prime} be some cyclic shift of ww. There is an obvious bijection between Qw{\cal Q}_{w} and Qw′{\cal Q}_{w^{\prime}}, obtained by applying the appropriate cyclic shift on the indices of the sis_{i}’s in the blocks’ names. (E.g, if w′w^{\prime} is attained from ww by a right cyclic shift of two positions, replace each label sis_{i} in ww by sj′s^{\prime}_{j} in w′w^{\prime} where j≡i+2mod  ∣w∣j\equiv i+2\mod|w|.) We claim that in addition, each Γ∈Qw\Gamma\in{\cal Q}_{w} has the same type in Qw{\cal Q}_{w} as its matching quotient Γ′\Gamma^{\prime} in Qw′{\cal Q}_{w^{\prime}}. It suffices to show that if Γ\Gamma has type A in Qw{\cal Q}_{w}, then Γ′\Gamma^{\prime} have type A in Qw′{\cal Q}_{w^{\prime}} (It then follows by symmetry that Γ\Gamma has type A in Qw{\cal Q}_{w} iff Γ′\Gamma^{\prime} has type A in Qw′{\cal Q}_{w^{\prime}}).

Let SS be a smallest generating set of Γ\Gamma with {s0,s∣w∣}∈S\{s_{0},s_{|w|}\}\in S. Given SS, we can generate Γ\Gamma gradually, through a series of quotients. To proceed from the quotient Γi\Gamma_{i} to the next quotient, we add a pair {sj,sr}∈S\{s_{j},s_{r}\}\in S. To determine Γi+1\Gamma_{i+1} we carry out all necessary identifications and only them. Formally, Γi+1\Gamma_{i+1} is the finest realizable quotient of Γi\Gamma_{i} in which the pair {sj,sr}\{s_{j},s_{r}\} is merged. It is easily verified that the final quotient is Γ\Gamma regardless of the order at which the pairs in SS are introduced. But merging {s0,s∣w∣}\{s_{0},s_{|w|}\} in ww, and merging {s0′,s∣w∣′}\{s^{\prime}_{0},s^{\prime}_{|w|}\} in w′w^{\prime}, yield equivalent quotient graphs (these are the universal graphs of ww and of w′w^{\prime}, as defined in Section 2.1 around Figure 1). We can now proceed by applying the same series of quotients as described above on both universal graphs, to conclude that Γ′\Gamma^{\prime} is of type A with respect to w′w^{\prime} as well. ∎

Let w∈Σkw\in\Sigma_{k}, and let w′w^{\prime} be its reduced form. Then β(w)=β(w′)\beta(w)=\beta(w^{\prime}).

We need to show that β\beta does not change when a letter and its inverse are inserted consecutively into a word. But Lemma 8 says that β\beta is invariant under cyclic shifts, so it suffices to show that β(w)=β(w′)\beta(w)=\beta(w^{\prime}) for w=gi1  α1gi2  α2…gim  αmw=g_{i_{1}}^{\;\alpha_{1}}g_{i_{2}}^{\;\alpha_{2}}\ldots g_{i_{m}}^{\;\alpha_{m}} and w′=gi1  α1gi2  α2…gim  αmgjgj  −1w^{\prime}=g_{i_{1}}^{\;\alpha_{1}}g_{i_{2}}^{\;\alpha_{2}}\ldots g_{i_{m}}^{\;\alpha_{m}}g_{j}g_{j}^{\;-1}. To see this, we define below for every quotient Γ∈Qw\Gamma\in{\cal Q}_{w} the subset ϵ(Γ)⊆Qw′\epsilon(\Gamma)\subseteq{\cal Q}_{w^{\prime}} of all consistent extensions of Γ\Gamma. The set ϵ(Γ)\epsilon(\Gamma) contains a certain member δ(Γ)\delta(\Gamma) which plays a special role. The relevant properties of ϵ\epsilon and δ\delta are:

The union of the images of ϵ\epsilon is all of Qw′{\cal Q}_{w^{\prime}}.

If Γ1≠Γ2∈Qw\Gamma_{1}\neq\Gamma_{2}\in{\cal Q}_{w}, then ϵ(Γ1)\epsilon(\Gamma_{1}) and ϵ(Γ2)\epsilon(\Gamma_{2}) are disjoint.

If Γ∈Qw\Gamma\in{\cal Q}_{w} has type A, then all members in ϵ(Γ)\epsilon(\Gamma) have type A.

For every Γ∈Qw\Gamma\in{\cal Q}_{w}, one graph δ(Γ)∈ϵ(Γ)\delta(\Gamma)\in\epsilon(\Gamma) has the same Euler characteristic and the same type as Γ\Gamma. All other members in ϵ(Γ)\epsilon(\Gamma) have Euler characteristic χ(Γ)+1\chi(\Gamma)+1.

It should be clear that these properties prove the lemma.

If v∈V(Γ)v\in V(\Gamma) is the vertex corresponding to sms_{m}, then ϵ(Γ)\epsilon(\Gamma) is the set of all extensions of Γ∈Qw\Gamma\in{\cal Q}_{w} where there is a jj-edge (an edge labeled jj) starting at vv. If Γ\Gamma already has such an edge, then we can attain a graph Γ′∈Qw′\Gamma^{\prime}\in{\cal Q}_{w^{\prime}} by adding sm+2s_{m+2} to the block containing sms_{m}, and adding sm+1s_{m+1} to the block at the end of this jj-edge. We then define ϵ(Γ)={δ(Γ)}={Γ′}≈{Γ}\epsilon(\Gamma)=\{\delta(\Gamma)\}=\{\Gamma^{\prime}\}\approx\{\Gamma\} (We use “≈\approx” to denote equality as vertex-unlabeled-graphs.)

Otherwise, ϵ(Γ)\epsilon(\Gamma) includes all the (vΓ−eΓj+1)(v_{\Gamma}-e_{\Gamma}^{j}+1) different possible extensions of Γ\Gamma with such an edge. We only need to specify the other vertex of this new edge, that corresponds to sm+1s_{m+1}. In the graph δ(Γ)\delta(\Gamma) the vertex sm+1s_{m+1} is new and so is the jj-edge (sm,sm+1)(s_{m},s_{m+1}). Clearly, χ(δ(Γ))=χ(Γ)\chi(\delta(\Gamma))=\chi(\Gamma), as claimed. Otherwise this additional edge can go from sms_{m} to any of the vΓ−eΓjv_{\Gamma}-e_{\Gamma}^{j} vertices in Γ\Gamma which are not tails of a jj-edge. Such graphs clearly have characteristics χ(Γ)+1\chi(\Gamma)+1.

We prove the first two properties of ϵ\epsilon by recovering, for every Γ′∈Qw′\Gamma^{\prime}\in{\cal Q}_{w^{\prime}} the (unique) graph Γ∈Qw\Gamma\in{\cal Q}_{w} with Γ′∈ϵ(Γ)\Gamma^{\prime}\in\epsilon(\Gamma). We consider the (m+1)(m+1)-st step in the path of w′w^{\prime} through Γ′\Gamma^{\prime} (the step from sms_{m} to sm+1s_{m+1}), and use the notations of Lemma 6. If this step is free, then Γ\Gamma is obtained from Γ′\Gamma^{\prime} by deleting the vertex corresponding to sm+1s_{m+1} and the edge (sm,sm+1)(s_{m},s_{m+1}) (as well as, of course, omitting sm+2s_{m+2} from its block). If it is a coincidence, then clearly Γ≈Γ′∖(sm,sm+1)\Gamma\approx\Gamma^{\prime}\setminus(s_{m},s_{m+1}). Otherwise, it is forced and so Γ≈Γ′\Gamma\approx\Gamma^{\prime}.

We want to show next that if Γ∈Qw\Gamma\in{\cal Q}_{w} has type A, then all graphs in ϵ(Γ)\epsilon(\Gamma) have type A as well. By assumption Γ\Gamma is generated by a set SS of cardinality ∣S∣=χ(Γ)|S|=\chi(\Gamma) and {s0,sm}∈S\{s_{0},s_{m}\}\in S. Note that sm≡sm+2s_{m}\equiv s_{m+2} in every quotient of w′w^{\prime}. Therefore, when we consider generating sets for graphs in Qw′{\cal Q}_{w^{\prime}}, the vertices sms_{m} and sm+2s_{m+2} play the exact same role. We therefore define S′S^{\prime} to be the set of pairs that is attained by replacing each occurrence of sms_{m} in SS with sm+2s_{m+2}. Clearly, S′S^{\prime} generates the graph δ(Γ)∈ϵ(Γ)\delta(\Gamma)\in\epsilon(\Gamma). For any other graph in ϵ(Γ)\epsilon(\Gamma), we add to S′S^{\prime} the pair {sm+1,si}\{s_{m+1},s_{i}\} where si (i≤m)s_{i}~{}(i\leq m) corresponds to the vertex which (sm,sm+1)(s_{m},s_{m+1}) goes to. In each of these cases we found a smallest generating set S′S^{\prime} that includes the pair {s0,sm+2}\{s_{0},s_{m+2}\}, so all members of ϵ(Γ)\epsilon(\Gamma) have type A.

Finally, we need to show that if Γ∈Qw\Gamma\in{\cal Q}_{w} has type B, then so does δ(Γ)\delta(\Gamma). So suppose δ(Γ)\delta(\Gamma) has type A, with a smallest generating set S′S^{\prime} that contains the pair {s0,sm+2}\{s_{0},s_{m+2}\}. Let us construct a set of pairs SS by replacing each occurrence of sm+2s_{m+2} in S′S^{\prime} by sms_{m}. If S′S^{\prime} contains some pair {sm+1,si}\{s_{m+1},s_{i}\}, then clearly sm+1s_{m+1} is not a new vertex in δ(Γ)\delta(\Gamma), and we are necessarily in the case where Γ≈δ(Γ)\Gamma\approx\delta(\Gamma) (recall that Γ\Gamma and δ(Γ)\delta(\Gamma) have the same characteristic). In this case the edge (sm,sm+1)(s_{m},s_{m+1}) is not new, so it is merged with some (sr−1,sr)(s_{r-1},s_{r}) (or (sr+1,sr)(s_{r+1},s_{r})) for some r<mr<m. Thus, we can replace each sm+1s_{m+1} in S′S^{\prime} with srs_{r}. This is a contradiction since SS is a smallest generating set of Γ\Gamma which therefore has type A. ∎

Note that from Lemmas 8 and 9 it follows that β\beta is invariant under cyclic reduction as well, or under conjugation. Similar arguments show that it is also invariant under the equivalence relation ‘‘∼"``\sim", but we do not include the proof. In the following lemma we state an important property of type-B quotient graphs. This property plays a crucial role in the sequel, where we introduce a bound to the number of words with some fixed value of β(⋅)\beta(\cdot).

Let Γ∈Qw\Gamma\in{\cal Q}_{w} have type B. As we trace the path of ww through Γ\Gamma, every edge in Γ\Gamma is traversed at least twice.

We show that if some edge ee is traversed only once, then Γ\Gamma has type A. Lemma 8 allows us to assume that ee is the last step in the path of ww, i.e. the step from s∣w∣−1s_{|w|-1} to s∣w∣s_{|w|}. In the proof of Lemma 6, we constructed S^\widehat{S}, a generating set of Γ\Gamma of smallest cardinality, with one pair for each coincidence in the path of ww through Γ\Gamma. Here, the last coincidence corresponds to the pair {s0,s∣w∣}\{s_{0},s_{|w|}\}. Therefore Γ\Gamma has type A. ∎

The converse is not true. There are quotients of type A where every edge is traversed more than once. Consider the word w=ababaw=ababa. One of the quotient graphs in Qw{\cal Q}_{w} is a figure-eight with one vertex and two loops. Each edge in this quotient is traversed twice or thrice, but the quotient has type A. It is generated by the two pairs {s0,s2},{s0,s5}\{s_{0},s_{2}\},\{s_{0},s_{5}\}.

3 Some Connections between ϕ​(w)italic-ϕ𝑤\phi(w) and β​(w)𝛽𝑤\beta(w)

We now turn to examine the relation between ϕ\phi and β\beta. We first observe that ai(w)a_{i}(w) (the coefficient of 1ni\frac{1}{n^{i}} in the power series form of Φw(n)\Phi_{w}(n)), is completely determined by quotients in Qw{\cal Q}_{w} with characteristic ≤i\leq i. This is easily verified by considering the contribution of each Γ∈Qw\Gamma\in{\cal Q}_{w} in (7). We are now able to use our new perspective and show that (as mentioned above) for i=0,1i=0,1, ϕ(w)=i⇔β(w)=i\phi(w)=i\Leftrightarrow\beta(w)=i.

For every w∈Fkw\in\mathbf{F}_{k}, ϕ(w)=0⇔β(w)=0⇔w=1\phi(w)=0\Leftrightarrow\beta(w)=0\Leftrightarrow w=1.

By Lemma 6, the only quotient graph of ww with characteristic 0 is the graph Γ\Gamma generated by the empty set. Now ϕ(w)=0 ⇔ a0(w)>0 ⇔ Γ∈Qw ⇔s0≡s∣w∣ in Γ⇔w\phi(w)=0~{}\Leftrightarrow~{}a_{0}(w)>0~{}\Leftrightarrow~{}\Gamma\in{\cal Q}_{w}~{}\Leftrightarrow s_{0}\equiv s_{|w|}\textrm{ in }\Gamma\Leftrightarrow w reduces to 1. If Γ∈Qw\Gamma\in{\cal Q}_{w} then Γ\Gamma has type B by definition. Thus β(w)=0⇔Γ∈Qw\beta(w)=0\Leftrightarrow\Gamma\in{\cal Q}_{w}. ∎

For every w∈Fkw\in\mathbf{F}_{k}, ϕ(w)=1⇔β(w)=1⇔\phi(w)=1\Leftrightarrow\beta(w)=1\Leftrightarrow ww is imprimitive.

Let w∈Fkw\in\mathbf{F}_{k} be in reduced form and assume w≠1w\neq 1. By Lemma 12, all Γ∈Qw\Gamma\in{\cal Q}_{w} have a positive characteristic. The definition of Φw(n)\Phi_{w}(n) clearly yields that a1(w)=∣{Γ∈Qw : χ(Γ)=1}∣−1a_{1}(w)=\left|\{\Gamma\in{\cal Q}_{w}~{}:~{}\chi(\Gamma)=1\}\right|-1. In this case the single pair {s0,s∣w∣}\{s_{0},s_{|w|}\} is a smallest generating set for the universal graph (defined in Section 2.1), so at least one quotient has characteristic 1. Obviously, any other quotient with χ=1\chi=1 is not generated by {s0,s∣w∣}\{s_{0},s_{|w|}\}, and thus (by Lemma 6) has type B. Thus ϕ(w)=1⇔β(w)=1⇔\phi(w)=1\Leftrightarrow\beta(w)=1\Leftrightarrow such additional quotients exist. We complete the proof by showing that the latter is true iff ww is imprimitive.

Let w′w^{\prime} be the cyclic reduction of ww. It is easy to verify that w∼w′w\sim w^{\prime} whence ϕ(w)=ϕ(w′)\phi(w)=\phi(w^{\prime}) and ww is primitive iff so is w′w^{\prime}. Lemmas 8 and 9 yield that β(w)=β(w′)\beta(w)=\beta(w^{\prime}) as well. Thus we can assume, for simplicity, that ww is cyclically reduced.

In this case, merging s0s_{0} and s∣w∣s_{|w|} implies no other identifications, and the universal graph is a cycle of length ∣w∣|w|. If ww is imprimitive, there is some u∈Fku\in\mathbf{F}_{k} and d≥2d\geq 2 such that w=udw=u^{d}. Clearly, uu is cyclically reduced as well, and the universal graph of uu is a cycle of length ∣u∣|u| which is an additional quotient of characteristic 1 in Qw{\cal Q}_{w}.

On the other hand, since ww is cyclically reduced, every vertex in every Γ∈Qw\Gamma\in{\cal Q}_{w} has degree ≥2\geq 2. Thus, if χ(Γ)=1\chi(\Gamma)=1, it is necessarily a cycle. As the path of ww through Γ\Gamma is non-backtracking and w≠1w\neq 1, it consists of tracing this cycle some d≥1d\geq 1 times. If d=1d=1, Γ\Gamma is the universal graph. Otherwise, if we let uu denote the word corresponding to a single traversal of the cycle, then w=udw=u^{d}. ∎

The contents of Lemmas 12 and 13 appear in different language in [BS87], in [Nica94] and in [Fri03]. But the relation between ϕ(⋅)\phi(\cdot) and β(⋅)\beta(\cdot) goes deeper. For instance, for the single-letter word w=aw=a both ϕ(w)=β(w)=∞\phi(w)=\beta(w)=\infty. The reason for ϕ(a)=∞\phi(a)=\infty is that the expected number of fixed points in a random permutation equals 1. On the other hand, Lemma 10 implies that β(a)=∞\beta(a)=\infty. Also, as already mentioned, both ϕ\phi and β\beta are invariant under ‘‘∼"``\sim", so they are both infinite on the entire equivalence class of aa under ‘‘∼"``\sim". (In particular, every ww in which some letter appears exactly once belongs to this class.)

The following lemma expands even further the relation between ϕ(⋅)\phi(\cdot) and β(⋅)\beta(\cdot). The next natural step would be to prove that ϕ(w)=2⇔β(w)=2\phi(w)=2\Leftrightarrow\beta(w)=2. This, in other words, says that for primitive words, β(w)≥3\beta(w)\geq 3 iff a2(w)=0a_{2}(w)=0. This is, at present, still beyond our reach and we content ourselves with a weaker statement.

Let w∈Fkw\in\mathbf{F}_{k} have β(w)≥3\beta(w)\geq 3. Then a2(w)≤0a_{2}(w)\leq 0.

For simplicity we assume that ww is cyclically reduced. (Again, this assumption is possible because both β(w)\beta(w) and Φw(n)\Phi_{w}(n) are invariant under cyclic reductions of ww.) When β(w)≥3\beta(w)\geq 3, there is only one graph Γ^∈Qw\hat{\Gamma}\in{\cal Q}_{w} of characteristic 1 (the universal graph), and all the quotient graphs of characteristic 2 have type A. To find the contribution of Γ^\hat{\Gamma} to a2(w)a_{2}(w) expand the expression ∏l=1vΓ−1(1−lx)∏j=1k∏l=1eΓj−1(1−lx)\frac{\prod_{l=1}^{v_{\Gamma}-1}(1-lx)}{\prod_{j=1}^{k}\prod_{l=1}^{e_{\Gamma}^{j}-1}(1-lx)} to first order. It follows that this contribution is −(vΓ^2)+∑j=1k(eΓ^j2)-\binom{v_{\hat{\Gamma}}}{2}+\sum_{j=1}^{k}\binom{e^{j}_{\hat{\Gamma}}}{2}. We need to show that there are at most (vΓ^2)−∑j=1k(eΓ^j2)\binom{v_{\hat{\Gamma}}}{2}-\sum_{j=1}^{k}\binom{e^{j}_{\hat{\Gamma}}}{2} graphs Γ∈Qw\Gamma\in{\cal Q}_{w} with χ(Γ)=2\chi(\Gamma)=2.

Since Γ^\hat{\Gamma} is generated by {s0,s∣w∣}\{s_{0},s_{|w|}\}, and every quotient Γ∈Qw\Gamma\in{\cal Q}_{w} of characteristic 2 has type A, Γ\Gamma is generated from Γ^\hat{\Gamma} by a single pair of vertices of Γ^\hat{\Gamma}. The total number of pairs is (vΓ^2)\binom{v_{\hat{\Gamma}}}{2}, but clearly different pairs may generate the same Γ\Gamma. For instance, for any two jj-edges, the pair of heads generates the same quotient as the pair of tails.

In order to understand the full picture, we introduce a graph Υ\Upsilon, which captures this kind of dependency between pairs. The graph Υ\Upsilon has (vΓ^2)\binom{v_{\hat{\Gamma}}}{2} vertices labeled by the pairs of vertices of Γ^\hat{\Gamma}, and has ∑j=1k(eΓ^j2)\sum_{j=1}^{k}\binom{e^{j}_{\hat{\Gamma}}}{2} edges, one for each pair of same-color edges in Γ^\hat{\Gamma}. The edge corresponding to the pair {ϵ1,ϵ2}\{\epsilon_{1},\epsilon_{2}\} of jj-edges, is a jj-edge from the vertex {head(ϵ1),head(ϵ2)}\{head(\epsilon_{1}),head(\epsilon_{2})\} to {tail(ϵ1),tail(ϵ2)}\{tail(\epsilon_{1}),tail(\epsilon_{2})\}. We illustrate this in Figure 4.

We claim that Υ\Upsilon has no cycles. As ww is assumed to be cyclically reduced, Γ^\hat{\Gamma} is simply a cycle and the path of ww through it is a simple cycle. Now say that {x1,y1},{x2,y2},…,{xr,yr},{x1,y1}\{x_{1},y_{1}\},\{x_{2},y_{2}\},\ldots,\{x_{r},y_{r}\},\{x_{1},y_{1}\} is a simple cycle in Υ\Upsilon, whose edges compose some word uu. This uu corresponds to two non-backtracking paths in Γ^\hat{\Gamma} in one of the two following ways. Either uu is a path from x1x_{1} to itself and a path from y1y_{1} to itself (whence it is some cyclic shift of ww or of w−1w^{-1}). Or uu is a path from x1x_{1} to y1y_{1} as well as a path from y1y_{1} to x1x_{1}. (See Figure 5.)

In the former case, some cyclic shift of ww equals another cyclic shift of ww or of w−1w^{-1}. But ww is primitive, so it is not invariant under any cyclic shift. To see that ww cannot equal a cyclic shift of its inverse, we need to show that w−1w^{-1} is not a subword of w2w^{2}. To see this, let w=g1…gmw=g_{1}\ldots g_{m} and assume to the contrary that ∀j=1,…,m  gj  −1=gs−j\forall j=1,\ldots,m~{}~{}g_{j}^{\;-1}=g_{s-j} for some m+1≤s≤2mm+1\leq s\leq 2m (here gi+m=gig_{i+m}=g_{i} for i=1,…,mi=1,\ldots,m). Is ss is even, say s=2qs=2q, we conclude (for j=qj=q) that gq=gq  −1g_{q}=g_{q}^{\;-1} which is impossible. If s=2q+1s=2q+1 we conclude for j=qj=q that gq  −1=gq+1g_{q}^{\;-1}=g_{q+1}, so that the word ww is not reduced.

In the latter case, either u=u−1u=u^{-1}, which is impossible by the same argument, or ww is a cyclic shift of u2u^{2}, which again contradicts its being primitive. This rules out the possibility of a cycle in Υ\Upsilon.

Clearly, two pairs of vertices in V(Γ^)V(\hat{\Gamma}) which belong to the same connected component in Υ\Upsilon, generate the same Γ\Gamma. Thus the number of different Γ\Gamma’s in Qw{\cal Q}_{w} with characteristic 2 is at most the number of connected components in Υ\Upsilon. But Υ\Upsilon has no cycles, so the number of connected components is exactly (vΓ^2)−∑j=1k(eΓ^j2)\binom{v_{\hat{\Gamma}}}{2}-\sum_{j=1}^{k}\binom{e^{j}_{\hat{\Gamma}}}{2}. ∎

Note that this last proof yields a surjective function from the connected components of Υ\Upsilon to type-A graphs of characteristics 2 in Qw{\cal Q}_{w}. In order to prove that ϕ(w)=2⇔β(w)=2\phi(w)=2\Leftrightarrow\beta(w)=2 it suffices to show that this function is injective (which we believe is true). That would yield that the number of type-A quotients of characteristic 2 exactly balances off the negative contribution of Γ^\hat{\Gamma} to a2(w)a_{2}(w). Thus, a2(w)≠0a_{2}(w)\neq 0 (or more precisely a2(w)>0a_{2}(w)>0) iff there is a type-B graph of characteristic 2, i.e. iff β(w)=2\beta(w)=2.

In fact, we believe that something similar happens in general. Namely, for every integer i≥0i\geq 0, if Qw{\cal Q}_{w} has no type-B graphs of characteristic <i<i, then the contributions from all the type-A graphs of characteristic ≤i\leq i. (i.e., the graphs generated from the universal graph by fewer than ii pairs) balances out. Hence a0(w)=a1(w)=…=ai−1(w)=0a_{0}(w)=a_{1}(w)=\ldots=a_{i-1}(w)=0, and ai(w)a_{i}(w) equals the number of type-B quotients of characteristic ii.

There are three kinds of supporting evidence to this belief. As we saw, it is valid for i=0,1i=0,1, and we have a good understanding why it should hold for i=2i=2 as well. Also, we have carried out extensive numerical simulations to test it for i=2,3,4i=2,3,4 without any failure. Finally, consider a word ww such that w∼aw\sim a. Such a word has only type-A quotients, and we know that ai(w)=0a_{i}(w)=0 for all ii. In this case, therefore, the type-A quotients of characteristic ≤i\leq i indeed balance the contribution of each other to a0(w),…,ai(w)a_{0}(w),\ldots,a_{i}(w). (We note that the vanishing of all ai(w)a_{i}(w) even in this specialized case is not obvious).

Here, then, is a formal statement of this main conjecture:

It might be tempting to suspect something even stronger, namely that for every w∈Fkw\in\mathbf{F}_{k} and n≥1n\geq 1, E(Xw(n))≥1E(X_{w}^{(n)})\geq 1. However, this stronger assertion is false. (We would like to thank Miklós Abért for showing us the invalidity of this claim. The main ideas of the proof can be found in [Abe].)

Finally, we present a second conjecture based on other simulations we conducted. These simulations suggest that the only words for which ϕ(w)=∞\phi(w)=\infty are those mentioned above:

E(Xw(n))≡1E(X_{w}^{(n)})\equiv 1 iff ww is equivalent (∼\sim) to a single-letter word.

The Largest New Eigenvalue in a Random Lift of a Graph

In this section we apply our findings concerning formal words and word maps on SnS_{n} to study the new eigenvalues in random lifts of graphs. Our main result is Theorem 1 which says that μmax≤O(λ1  1/3ρ2/3)\mu_{max}\leq O(\lambda_{1}^{\;1/3}\rho^{2/3}) almost surely.

Recall the definition of ϕ(w)\phi(w) for w∈Fkw\in\mathbf{F}_{k} (Equation (8)). Namely, Φw(n)=aϕ(w)(w)+o(1)nϕ(w)\Phi_{w}(n)=\frac{a_{\phi(w)}(w)+o(1)}{n^{\phi(w)}}. We first seek an improved estimate of the o(1)o(1) term in the numerator.

Let w∈Σkw\in\Sigma_{k} and let i≥0i\geq 0 be some integer. Then:

As we saw in Lemma 6, each Γ∈Qw\Gamma\in{\cal Q}_{w} with characteristic ii is generated by some set of ii pairs. There are (∣w∣+12)≤∣w∣2\binom{|w|+1}{2}\leq|w|^{2} pairs to choose from, and the claim follows. ∎

If ϕ(w)=i\phi(w)=i and if n≥3∣w∣2n\geq 3|w|^{2}, then

As mentioned in the beginning of Section 2.3, ai(w)a_{i}(w), the coefficient of 1ni\frac{1}{n^{i}} in the power series of Φw(n)\Phi_{w}(n), is completely determined by quotients in Qw{\cal Q}_{w} of characteristic ≤i\leq i. We now bound the contribution to ai(w)a_{i}(w) of every such quotient.

To this end, we analyze the contribution of Γ\Gamma to Φw(n)\Phi_{w}(n), as specified in (7). For the sake of convenience, we let xx equal 1n\frac{1}{n}, and express this contribution as xeΓ−vΓ+1⋅∏l=1vΓ−1(1−lx)∏j=1k∏l=1eΓj−1(1−lx)x^{e_{\Gamma}-v_{\Gamma}+1}\cdot\frac{\prod_{l=1}^{v_{\Gamma}-1}(1-lx)}{\prod_{j=1}^{k}\prod_{l=1}^{e_{\Gamma}^{j}-1}(1-lx)}. For small xx we can expand the fraction in this expression as a power series ∑r=0∞brxr\sum_{r=0}^{\infty}b_{r}x^{r}. Write ∏l=1vΓ−1(1−lx)=1+∑r≥1crxr\prod_{l=1}^{v_{\Gamma}-1}(1-lx)=1+\sum_{r\geq 1}c_{r}x^{r}, and ∏j=1k∏l=1eΓj−1(1−lx)=1+∑r≥1drxr\prod_{j=1}^{k}\prod_{l=1}^{e_{\Gamma}^{j}-1}(1-lx)=1+\sum_{r\geq 1}d_{r}x^{r}. Then:

Thus b0=1b_{0}=1 and for r≥1r\geq 1, br=cr−dr−b1dr−1−...−br−1d1b_{r}=c_{r}-d_{r}-b_{1}d_{r-1}-...-b_{r-1}d_{1}. We have

Similarly, ∣dr∣≤∣w∣2r2r|d_{r}|\leq\frac{|w|^{2r}}{2^{r}}. A simple induction now shows that ∣br∣≤∣w∣2r|b_{r}|\leq|w|^{2r}:

Now consider the coefficient ai(w)a_{i}(w). There is at most one quotient in Qw{\cal Q}_{w} of characteristic 0 (Lemma 18) which contributes at most ∣w∣2i|w|^{2i} to ai(w)a_{i}(w); There are at most ∣w∣2|w|^{2} quotients of characteristic 1 which contribute at most ∣w∣2i−2|w|^{2i-2} each, etc. There are no quotients with characteristic greater then ∣w∣|w|, so we have at most contribution of ∣w∣2i|w|^{2i} of quotients of every characteristic 0≤χ≤∣w∣0\leq\chi\leq|w|. Thus ai(w)≤(∣w∣+1)∣w∣2ia_{i}(w)\leq(|w|+1)|w|^{2i}.

The lemma now follows because n≥3∣w∣2n\geq 3|w|^{2}. ∎

The set of possible values for β(w)\beta(w) is {0,1,…,∣w∣}∪{∞}\{0,1,\ldots,|w|\}\cup\{\infty\}, and we now split the sum over w∈CPt(G)w\in{\cal CP}_{t}(G) in (3) according to β(w)\beta(w). This yields:

The statement of (the unproved) Conjecture 15 implies that the sum over ww with β(w)=∞\beta(w)=\infty vanishes, since β(w)=∞\beta(w)=\infty yields ϕ(w)=∞\phi(w)=\infty and hence Φw(n)≡0\Phi_{w}(n)\equiv 0. We suspect that it should be possible to bound the number of words with β(w)=i\beta(w)=i (Some results along these lines are proved in Section 3.1). This, combined with the statement of Conjecture 15 would have allowed us to bound the contribution of each 0≤i≤t0\leq i\leq t to the above sum.

This problem is still open, so instead we split the set CPt(G){\cal CP}_{t}(G) into four parts:

Using Lemmas 12 and 13 we can bound the value of Φw(n)\Phi_{w}(n) when β(w)=0\beta(w)=0 or 11. For these values β(w)=ϕ(w)\beta(w)=\phi(w) and Lemma 19 can be applied. If β(w)=2\beta(w)=2, then ϕ(w)≥2\phi(w)\geq 2, and we can use (12) in its worst case, i.e. when ϕ(w)=2\phi(w)=2. Finally, if β(w)≥3\beta(w)\geq 3, the following lemma shows that Φw(n)≤O(1n3)\Phi_{w}(n)\leq O\left(\frac{1}{n^{3}}\right).

Let w∈Fkw\in\mathbf{F}_{k} have β(w)≥3\beta(w)\geq 3. Then

The assumption β(w)≥3\beta(w)\geq 3 yields that a0(w)=a1(w)=0a_{0}(w)=a_{1}(w)=0 and that a2(w)≤0a_{2}(w)\leq 0 (Lemma 14). Thus clearly Φw(n)≤∑i=3∞ai(w)1ni\Phi_{w}(n)\leq\sum_{i=3}^{\infty}a_{i}(w)\frac{1}{n^{i}}, and the claim is an immediate consequence of the analysis in Lemma 19. (This is true since the proof of Lemma 19 does not take full advantage of the assumption that ϕ(w)=i\phi(w)=i, but rather that aj(w)≤0a_{j}(w)\leq 0 for j<ij<i.) ∎

To proceed with our analysis of Equation (13), we now bound the number of words in CPt(G){\cal CP}_{t}(G) with β(w)=i\beta(w)=i for i=0,1,2i=0,1,2.

Our proof for this bound extends an idea that originated with [Buc86] and was later developed in [Fri03]. Recall that ρ\rho denotes the spectral radius of TT, the universal cover of the base graph GG (as well as of any lift of GG). Buck found a bound expressed in terms of ρ\rho for the number of words in CPt(G){\cal CP}_{t}(G) that reduce to 1. Friedman used a similar method to bound the number of imprimitive words in CPt(G){\cal CP}_{t}(G). We further develop the method in order to bound the number of words in CPt(G){\cal CP}_{t}(G) with β(w)=2\beta(w)=2.

We present the three cases (i=0,1,2i=0,1,2) one by one. The case i=0i=0 is indeed the simplest, and things get more complicated as ii grows. (However, it does seem that a general bound can be proven for the number of words in CPt(G){\cal CP}_{t}(G) for any fixed value of β(⋅)\beta(\cdot).) We first note that ATA_{T}, the (infinite) adjacency matrix of TT, is a self-adjoint bounded operator on the Hilbert space l2(V(T))l_{2}(V(T)). Consequently, its operator norm equals its spectral radius, i.e. ∥AT∥=ρ\|A_{T}\|=\rho. (The same argument shows that ∥AT l∥=ρl\|A_{T}^{~{}l}\|=\rho^{l} for any integer l>0l>0). For every v1,v2∈V(T)v_{1},v_{2}\in V(T) the number of paths of length ll from v1v_{1} to v2v_{2} is AT l(v1,v2)A_{T}^{~{}l}(v_{1},v_{2}), which can be bounded by ∥AT l∥=ρl\|A_{T}^{~{}l}\|=\rho^{l}.

For every x∈V(G)x\in V(G), we arbitrarily choose some vertex v1=v1(x)v_{1}=v_{1}(x) in the fiber of xx in TT. For every path γ\gamma in GG that starts at xx, we consider the lift of γ\gamma that starts at v1v_{1}. We denote the tail of the lifted path by vγ=vγ(x)v_{\gamma}=v_{\gamma}(x).

For i=0i=0, recall that β(w)=0⇔w\beta(w)=0\Leftrightarrow w reduces to 1 (Lemma 12). Thus, every w∈CPt(G)w\in{\cal CP}_{t}(G) with β(w)=0\beta(w)=0 corresponds to some path in GG of length tt which reduces to 1 (a nullhomotopic path). But these are exactly the paths which lift to closed paths in TT as well. Thus:

For i=1i=1 we want to count the number of imprimitive words in CPt(G){\cal CP}_{t}(G). If ww is imprimitive, then w=udw=u^{d} (equality in Fk\mathbf{F}_{k}) for some u∈Fku\in\mathbf{F}_{k} and d≥2d\geq 2. Suppose that the path of the cyclically reduced form of uu in GG starts at x∈V(G)x\in V(G). Since the path of ww visits xx, there is some cyclic shift of ww that starts at xx. Thus, by adding a factor of ∣w∣=t|w|=t to our eventual bound, we can assume ww begins at xx.

We now let γ\gamma be the path in GG of the cyclically reduced form of uu (a loop from xx to itself). We divide the path of ww through GG to three parts:

a path homotopic to γ\gamma of length l1l_{1}

a path homotopic to γ\gamma of length l2l_{2}

a path homotopic to γd−2\gamma^{d-2} of length l3l_{3}

These three parts lift to the following paths in TT:

a path from v1v_{1} to vγv_{\gamma} of length l1l_{1}

a path from v1v_{1} to vγv_{\gamma} of length l2l_{2}

a path from v1v_{1} to vγd−2v_{\gamma^{d-2}} of length l3l_{3}

Thus we can bound the total number of imprimitive words in CPt(G){\cal CP}_{t}(G) as follows:

(the initial factor of tt accounts for the cyclic shift of ww).

Using the symmetry of ATA_{T}, the inequality AT l3(v1,vγd−2)≤ρl3A_{T}^{~{}l_{3}}(v_{1},v_{\gamma^{d-2}})\leq\rho^{l_{3}} and changing the order of summations, we obtain:

(The crux of the matter in this calculation is the second step which eliminates the need to sum over closed paths γ\gamma).

Next we bound the number of words in CPt(G){\cal CP}_{t}(G) with β(w)=2\beta(w)=2. To this end we introduce a lemma that deals with quotient graphs of smallest characteristic among all type-B quotients. Clearly, it is such quotients that determine β(w)\beta(w).

Let GG be a graph, w∈CPt(G)w\in{\cal CP}_{t}(G) and Γ∈Qw\Gamma\in{\cal Q}_{w}. Each label sis_{i} that appears in a block that is associated with a vertex in Γ\Gamma corresponds to a vertex in GG. Therefore, a vertex in Γ\Gamma may correspond to several vertices in GG. We next show that for Γ\Gamma as above each vertex in Γ\Gamma corresponds to a single vertex from GG.

Let GG be a graph and w∈CPt(G)w\in{\cal CP}_{t}(G). If Γ∈Qw\Gamma\in{\cal Q}_{w} has type B and χ(Γ)=β(w)\chi(\Gamma)=\beta(w), then all labels that appear in a block from a vertex in Γ\Gamma correspond to the same vertex in GG.

The proof proceeds by showing that otherwise there is another type-B quotient in Qw{\cal Q}_{w} with smaller characteristic. Indeed, let {si1,…,sir}\{s_{i_{1}},\ldots,s_{i_{r}}\} be a block in Γ\Gamma where the labels {si1,…,sik}\{s_{i_{1}},\ldots,s_{i_{k}}\} (k<rk<r) correspond to the vertex vv in GG, while the labels {sik+1,…,sir}\{s_{i_{k+1}},\ldots,s_{i_{r}}\} correspond to other vertices in GG. Define the partition Γˉ\bar{\Gamma} by splitting this block to {si1,…,sik}\{s_{i_{1}},\ldots,s_{i_{k}}\} and {sik+1,…,sir}\{s_{i_{k+1}},\ldots,s_{i_{r}}\}. We claim that this is (i) a realizable quotient in Qw{\cal Q}_{w} (ii) of characteristic χ(Γ)−1\chi(\Gamma)-1 and (iii) of type B as well.

To see (i), recall that every letter in ww corresponds to some edge in GG. Since the two parts of the split block correspond to disjoint sets of vertices in GG, there is no jj such that both of them are heads (or tails) of a jj-edge. Thus, the realizability of Γ\Gamma yields the realizability of Γˉ\bar{\Gamma}. In deriving Γˉ\bar{\Gamma} from Γ\Gamma we have increased the number of vertices by one with no additional edges, whence (ii) is proved. To show (iii), note that any generating set of Γˉ\bar{\Gamma} can be extended to a generating set of Γ\Gamma by adding {si1,sik+1}s_{i_{1}},s_{i_{k+1}}\}, so that if Γˉ\bar{\Gamma} has type A, so does Γ\Gamma. ∎

As we saw (Lemmas 8 and 9) if w′w^{\prime} is the cyclic reduction of ww, then β(w′)=β(w)\beta(w^{\prime})=\beta(w). Moreover, every type-B Γ∈Qw\Gamma\in{\cal Q}_{w} with χ(Γ)=β(w)\chi(\Gamma)=\beta(w) can be generated from some Γ′∈Qw′\Gamma^{\prime}\in{\cal Q}_{w^{\prime}} with χ(Γ′)=χ(Γ)\chi(\Gamma^{\prime})=\chi(\Gamma), through a series of δ\delta-operations (as in Lemma 9). Since w′w^{\prime} is cyclically reduced, every vertex in Γ′\Gamma^{\prime} has degree ≥2\geq 2. (Indeed, Γ′\Gamma^{\prime} is obtained from Γ\Gamma by successive elimination of vertices of degree one in the graph).

Now assume β(w)=χ(Γ)=2\beta(w)=\chi(\Gamma)=2. There are three possible shapes that Γ′\Gamma^{\prime} can have: Figure-Eight, Barbell or Theta (see Figure 6). For a cost of an additional factor of tt as above, we may assume the path of ww through Γ\Gamma begins at the vertex xx specified in each of the diagrams. (More accurately, it begins at the vertex of Γ\Gamma corresponding to xx through the series of δ\delta-operations.) By Lemma 21, xx corresponds to a unique vertex in GG which we call xx as well (by abuse of notation). This vertex xx in GG marks the starting point of ww. We now analyze each case separately, and using the notations in Figure 6, we trace the path of w′w^{\prime} through Γ′\Gamma^{\prime}.

Assume first that Γ′\Gamma^{\prime} has the shape of a Figure-Eight. In this case w′w^{\prime} can be expressed using γ,ζ\gamma,\zeta in a reduced expression in which each of them appears at least twice (Lemma 10). For any fixed reduced expression in γ,ζ\gamma,\zeta, we specify certain two appearances of γ\gamma and certain two appearances of ζ\zeta. The path of ww through Γ\Gamma can be then divided to at most seven parts: four parts for the chosen appearances of γ\gamma and ζ\zeta, and three parts for sequences of the rest of the expression (we can always choose the first two characters in the expression, but we may be forced to have spaces between the second and the third, between the third and the fourth and after the fourth). We then proceed to a calculation as in (3.1).

To illustrate, let w′=γγγζγ−1ζ−1ζ−1γw^{\prime}=\gamma\gamma\gamma\zeta\gamma^{-1}\zeta^{-1}\zeta^{-1}\gamma. We split w′w^{\prime} to seven parts as shown in the following bracketing: w′=(γ)(γ)(γ)(ζ)(γ−1)(ζ−1)(ζ−1γ)w^{\prime}=(\gamma)(\gamma)(\gamma)(\zeta)(\gamma^{-1})(\zeta^{-1})(\zeta^{-1}\gamma). The corresponding lengths are: l1l_{1} steps for the first γ\gamma, l2l_{2} for the second, l3l_{3} steps for the next γ\gamma (which is considered “a space”), l4l_{4} steps for ζ\zeta, l5l_{5} for the space γ−1\gamma^{-1}, l6l_{6} for ζ−1\zeta^{-1} and l7l_{7} for the space ζ−1γ\zeta^{-1}\gamma. We can now bound the total number of words which reduce cyclically (and with a possible cyclic shift) to this expression in some γ\gamma and ζ\zeta. (The first factor of tt in the calculation accounts for the initial cyclic shift of ww.)

(The second sum is over all γ\gamma and ζ\zeta - two distinct non-empty reduced loops from xx to itself in GG.) We proceed as before:

This bound was calculated for a specific reduced expression in γ,ζ\gamma,\zeta. The total number of possible expressions is less than 3t3^{t}. (w.l.o.g every expression begins with γ\gamma, and it contains a total of between four and tt components. For rr components there are at most 3r−13^{r-1} possible continuations, and 33+34+…+3t−1<3t3^{3}+3^{4}+\ldots+3^{t-1}<3^{t}). Thus we can bound the total number of words in CPt(G){\cal CP}_{t}(G) with β(w)=2\beta(w)=2 and which have a type-B Eight-Figure quotient graph, by ∣V(G)∣t73tρt|V(G)|t^{7}3^{t}\rho^{t}.

For the Barbell and Theta the analysis is similar, but their contribution is negligible relative to the contribution of the Figure-Eight. This time we construct a reduced expression in three subwords: γ,ζ\gamma,\zeta, and η\eta, but the possible number of expressions is bounded by 2t2^{t} (the same argument as above, only this time every subword has only two possible subsequent subwords). We need to specify two occurrences of each of the three letters this time, so we may need to split the path of w′w^{\prime} to 6+5=116+5=11 parts. The bound is therefore ∣V(G)∣t112tρt|V(G)|t^{11}2^{t}\rho^{t}, the asymptotic comparison is clearly ∣V(G)∣t112tρt≪∣V(G)∣t73tρt|V(G)|t^{11}2^{t}\rho^{t}\ll|V(G)|t^{7}3^{t}\rho^{t}.

To illustrate the calculation, consider the following (reduced) expression for the Barbell: w′=γηζζζη−1γ−1ηζη−1γw^{\prime}=\gamma\eta\zeta\zeta\zeta\eta^{-1}\gamma^{-1}\eta\zeta\eta^{-1}\gamma. The number of words in CPt(G){\cal CP}_{t}(G) which reduce cyclically to such an expression can be bounded by:

(Here xx and yy are vertices of GG, γ\gamma (resp. ζ\zeta) is a reduced loop from xx (resp. yy) to itself, and η\eta a reduced path from xx to yy, and l1+…+l8=tl_{1}+\ldots+l_{8}=t).

These calculations suggest that for every integer r≥2r\geq 2, the dominant figure among quotient graphs of characteristic rr (after cyclic reduction) is a bouquet with rr loops. Thus, for large enough tt, the number of words in CPt(G){\cal CP}_{t}(G) with β(w)=r\beta(w)=r is less than (1+o(1))∣V(G)∣t4r−1(2r−1)tρt(1+o(1))|V(G)|t^{4r-1}(2r-1)^{t}\rho^{t}.

Note that this counting argument is quite wasteful, and involves a good deal of overcounting. For instance, in the case i=1i=1, we counted each word of the form w=u4w=u^{4} twice: once with the root uu and d=4d=4, and once with the root u2u^{2} and d=2d=2. It seems that in fact, we have bounded ∑w∈CPt(G)β(w)=iai(w)\sum_{\begin{subarray}{c}w\in{\cal CP}_{t}(G)\\ \beta(w)=i\end{subarray}}a_{i}(w).

2 The Proof of Theorem 1

We now have all the necessary ingredients for a proof of Theorem 1. Recall that in (13), we split the set of words CPt(G){\cal CP}_{t}(G) to four subsets according to the value of β(⋅)\beta(\cdot). In Table 2, we collect the following information for each subset: A bound on the subset’s size and a bound on the value of Φw(n)\Phi_{w}(n) for the words in the subset. This table highlights the significance of the proved and unproved relations between ϕ(⋅)\phi(\cdot) and β(⋅)\beta(\cdot) to the analysis of the sum in (13). The value of ϕ(⋅)\phi(\cdot) yields the bounds in the right column of the table, whereas β(⋅)\beta(\cdot) is used to derive the bounds in the middle one.

The number of words with β(w)=0\beta(w)=0 was bounded in (14), and the bound for Φw(n)\Phi_{w}(n) is from Lemma 19 (since a0(w)=0a_{0}(w)=0 whenever β(w)=0\beta(w)=0). In (3.1) we bounded the number of imprimitive words in CPt(G){\cal CP}_{t}(G), and Lemma 19 yields again a bound for Φw(n)\Phi_{w}(n) for imprimitive ww. (By Lemma 18, a1(w)≤t2a_{1}(w)\leq t^{2}). The number of words with β(w)=2\beta(w)=2 was bounded in (16) (for tt large enough), and this time we bound Φw(n)\Phi_{w}(n) using the fact that ϕ(w)≥2\phi(w)\geq 2 for every word in this subset. The size of the fourth set is bounded by the total size of CPt(G){\cal CP}_{t}(G)

and the bound on Φw(n)\Phi_{w}(n) in this case comes from Lemma 20 and the analysis of ai(w)a_{i}(w) in the proof of Lemma 19.

In order to balance the first and the last terms, we set n1/t≈ρ−1/3λ1/3n^{1/t}\approx\rho^{-1/3}\lambda^{1/3} (recall that tt is an even integer, so we cannot guarantee exact equality here). Since t→∞t\to\infty with nn, the constant and polynomial factors can be replaced by (1+on(1))t(1+o_{n}(1))^{t}. We obtain

(the equality holds because ρ≤λ1\rho\leq\lambda_{1} is always true, see Remark 2).

The statement of Theorem 1 now follows from a standard application of Markov’s inequality. Obviously, for every ϵ>0\epsilon>0, 3⋅λ1  1/3ρ2/3+ϵ3\cdot\lambda_{1}^{\;1/3}\rho^{2/3}+\epsilon may serve as an absolute upper bound.

Here is a sketch of our proposed approach to Friedman’s Conjecture. Say we seek to prove that all new eigenvalues are, almost surely O(ρ1−ϵλ1ϵ)O(\rho^{1-\epsilon}\lambda_{1}^{\epsilon}) for every ϵ>0\epsilon>0. To prove a bound of O(ρrr+1λ11r+1)O(\rho^{\frac{r}{r+1}}\lambda_{1}^{\frac{1}{r+1}}) one would have to show that β(w)=i⇔ϕ(w)=i\beta(w)=i\Leftrightarrow\phi(w)=i for every i≤ri\leq r. We believe that this can be shown in a way similar to our proof of Theorem 1. In addition, it would be necessary to follow up on Remark 22, and establish a bound on the number of words w∈CPt(G)w\in{\cal CP}_{t}(G) with given β(w)\beta(w).

In this section we introduce a new conceptual and relatively simple proof of a Theorem of A. Nica [Nica94]. In (2) we defined the random variable Xw(n)X_{w}^{(n)} which counts the number of fixed points in w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}) for fixed ww. We extend this concept and for every integer L≥1L\geq 1 denote by Xw,L(n)X_{w,L}^{(n)} a random variable on Sn  kS_{n}^{\;k} which is defined by:

(Xw,1(n)X_{w,1}^{(n)} is a new notation for Xw(n)X_{w}^{(n)}).

Nica’s theorem says that the variables Xw,L(n)X_{w,L}^{(n)} have, for fixed ww and LL and for n→∞n\to\infty, a limit distribution which can be computed explicitly. (Unless otherwise stated, the distribution on Sn  kS_{n}^{\;k} is always uniform.)

Let 1≠w∈Fk1\neq w\in\mathbf{F}_{k} and suppose that w=udw=u^{d}, with uu primitive. Then for every integer L≥1L\geq 1, the random variable Xw,L(n)X_{w,L}^{(n)} defined in (17) has, for n→∞n\to\infty, a limit distribution, which is given by:

Zm∼Poi(m)Z_{m}\sim Poi(m) (a variable with Poisson distribution with parameter mm), and “→dis\stackrel{{\scriptstyle dis}}{{\to}}” denotes convergence in distribution.

In particular, this limit distribution depends only on dd and LL (and not on uu).

Note that in the case that ww is primitive (i.e. d=1d=1), the limit distribution is simply Poisson with parameter 1/L1/L.

Our proof of Theorem 25 is based on the method of moments and provides, in particular, explicit expressions for the moments of Xw,L(n)X_{w,L}^{(n)}:

The contents of Nica’s work is Theorem 25 and Corollary 26 for the first moment.

If ww is cyclically reduced, then the only graphs in Qw{\cal Q}_{w} with χ=1\chi=1 are cycles (again, see the proof of Lemma 13). Such a cycle consists of a cyclic concatenation of several copies of uu (the primitive word such that w=udw=u^{d}). The number of copies of uu in the cycle has to divide dd, hence

But we can indeed restrict our discussion to cyclically reduced words. The justification for this is the following. Let 1≠w∈Fk1\neq w\in\mathbf{F}_{k}, and let w′w^{\prime} be its cyclic reduction. We have already mentioned that w∼w′w\sim w^{\prime} and so they induce the same distribution on SnS_{n}. In particular, Xw,L(n)X_{w,L}^{(n)} and Xw′,L(n)X_{w^{\prime},L}^{(n)} are equally distributed. It is also quite evident that ww and w′w^{\prime} share an identical exponent of their primitive root (i.e., if w=xw′x−1w=xw^{\prime}x^{-1} for some x∈Fkx\in\mathbf{F}_{k} and w′=udw^{\prime}=u^{d} with uu primitive, then xux−1xux^{-1} is primitive too, and w=(xux−1)dw=(xux^{-1})^{d}). Thus the validity of Theorem 25 and Corollary 26 for w′w^{\prime}, yields their validity for ww as well.

Below, we extend this argument to obtain the limit of the expectation of \big{[}X_{w,L}^{(n)}\big{]}^{r} for every LL and rr. We essentially use the same way we counted fixed points in w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}) for all kk-tuples (σ1,…,σk)∈Sn  k(\sigma_{1},\ldots,\sigma_{k})\in S_{n}^{\;k}, to count LL-cycles and sequences of LL-cycles, which we call lists of cycles. The point is that the total number of lists of length rr of LL-cycles, divided by (n!)k(n!)^{k}, equals the expectation of \big{[}X_{w,L}^{(n)}\big{]}_{r}, the rr-th factorial moment of Xw,L(n)X_{w,L}^{(n)}. Once we know how to calculate the limits of the factorial moments, the limits of the regular moments are at easy reach. To finish, we show that these limits equal the corresponding moments in the r.h.s of (18), and use the method of moments to conclude the proof.

We begin by generalizing some of the notions from Section 2.1. Let 1≠w∈Fk1\neq w\in\mathbf{F}_{k} be cyclically reduced, n≥1n\geq 1 an integer, s0∈{1,…,n}s_{0}\in\{1,\ldots,n\}, and σ1,…,σk∈Sn\sigma_{1},\ldots,\sigma_{k}\in S_{n}. The trail of s0s_{0} through w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}) is the sequence of images of s0s_{0} under w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}). Namely, if w=gi1  α1gi2  α2…gim  αmw=g_{i_{1}}^{\;\alpha_{1}}g_{i_{2}}^{\;\alpha_{2}}\ldots g_{i_{m}}^{\;\alpha_{m}} (with αi∈{−1,1}\alpha_{i}\in\{-1,1\}) in reduced form, then associated with s0s_{0} is the following path:

with s1,…,sm∈{1,…,n}s_{1},\ldots,s_{m}\in\{1,\ldots,n\}, and sb=σib  αb(sb−1)s_{b}=\sigma_{i_{b}}^{\;\alpha_{b}}(s_{b-1}) (b=1,…,mb=1,\ldots,m). (Recall that we compose permutations from left to right.)

Likewise, we can speak of the trail through some power of ww. For example, the trail of s0s_{0} through w3(σ1,…,σk)w^{3}(\sigma_{1},\ldots,\sigma_{k}) is

with s1,…,sms_{1},\ldots,s_{m} as before, and sm+1,…,s3m∈{1,…,n}s_{m+1},\ldots,s_{3m}\in\{1,\ldots,n\} satisfying the obvious constraints.

We recall that two trails were placed in the same category if they have the same coincidence pattern. This notion can be extended to our present, more general context, in an obvious way. Namely, every category is associated with some directed edge-colored graph. Moreover, we can define categories not only of single trails, but also of lists of trails, and again, associate a graph to each category. The nature of this graph is exactly as described in Section 2.1.

To illustrate, let w=g1g2g1  −1g2  −1w=g_{1}g_{2}g_{1}^{\;-1}g_{2}^{\;-1} be the commutator word, n≥8n\geq 8 an integer and σ1,σ2∈Sn\sigma_{1},\sigma_{2}\in S_{n} such that the following trails are realized by w(σ1,σ2)w(\sigma_{1},\sigma_{2}) and w2(σ1,σ2)w^{2}(\sigma_{1},\sigma_{2}), respectively:

We denote the nodes of the trail through ww by s01,…,s41s^{1}_{0},\ldots,s^{1}_{4} and the nodes through w2w^{2} by s02,…,s82s^{2}_{0},\ldots,s^{2}_{8}. Then the graph associated with the category of this list of trails through w,w2w,w^{2} is shown in Figure 7.

Although the notions here have a wider scope, we limit our discussion to categories of trails which represent cycles in w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}): an LL-cycle is represented by a closed trail through wL(σ1,…,σk)w^{L}(\sigma_{1},\ldots,\sigma_{k}). In fact, we are interested in counting cycles of a given length, so for our purposes we can confine ourselves to categories of a list of rr trails through wL(σ1,…,σk)w^{L}(\sigma_{1},\ldots,\sigma_{k}), for some L,r≥1L,r\geq 1.

First, let us analyze the categories that represent a single LL-cycle. A closed trail through wL(σ1,…,σk)w^{L}(\sigma_{1},\ldots,\sigma_{k}) represents an LL-cycle only if it does not represent any smaller cycle. That is, in the closed trail

the LL labels s0,sm,s2m,…,s(L−1)ms_{0},s_{m},s_{2m},\ldots,s_{(L-1)m} must all be distinct.

Once again, the graph of each category is a quotient of the universal graph. In this case, the universal graph is CL⋅mC_{L\cdot m}, the cycle of length L⋅mL\cdot m. A partition of its vertices corresponds to some category of an LL-cycle if and only if it does not create “collisions” of same-color edges, and keeps apart all LL vertices corresponding to s0,sm,s2m,…,s(L−1)ms_{0},s_{m},s_{2m},\ldots,s_{(L-1)m}. We demonstrate this in Figure 8.

The most general case in our discussion comes up when we turn to calculate the rr-th moment of Xw,L(n)X_{w,L}^{(n)}. To this end we consider categories of lists of rr LL-cycles through w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}). The universal graph Γ~w,L,r\widetilde{\Gamma}_{w,L,r} which represents rr ordered cycles of length LL each, consists of a disjoint union of rr copies of CL⋅mC_{L\cdot m}. We name the vertices of the first cycle in Γ~w,L,r\widetilde{\Gamma}_{w,L,r} by s01,…,sLm−11s^{1}_{0},\ldots,s^{1}_{Lm-1}, the vertices of the second cycle by s02,…,sLm−12s^{2}_{0},\ldots,s^{2}_{Lm-1} and so on until s0r,…,sLm−1rs^{r}_{0},\ldots,s^{r}_{Lm-1} for the rr-th cycle.

We are interested in quotients (or partitions of the vertices) of Γ~w,L,r\widetilde{\Gamma}_{w,L,r} that represent rr distinct LL-cycles. This means that the vertices

(a total of L⋅rL\cdot r vertices) should be kept apart in every partition, as illustrated in Figure 9.

[Xw,L(n)]r\left[X_{w,L}^{(n)}\right]_{r} counts lists of rr LL-cycles in w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}). As in the case of the first moment, we calculate its expectation by counting the total number of lists of rr LL-cycles in w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}) for all kk-tuples (σ1,…,σk)∈Sn  k(\sigma_{1},\ldots,\sigma_{k})\in S_{n}^{\;k} and dividing by (n!)k(n!)^{k}.

The counting is carried out by classifying these lists into categories. Each list of rr LL-cycles with specified starting point for each cycle, belongs to some category. These categories are the quotients of the universal graph Γ~w,L,r\widetilde{\Gamma}_{w,L,r}, which we denote by Qw,L,r{\cal Q}_{w,L,r} (e.g., Qw,1,1{\cal Q}_{w,1,1} is the same set as Qw{\cal Q}_{w}). To recap, the set Qw,L,r{\cal Q}_{w,L,r} can be generated as follows:

We first draw Γ~w,L,r\widetilde{\Gamma}_{w,L,r}, the universal graph of rr ordered LL-cycles of ww, which consists of rr disjoint cycles each of which has L⋅∣w∣L\cdot|w| vertices. Qw,L,r{\cal Q}_{w,L,r} consists of quotient graphs that are generated by partitions of the vertices of Γ~w,L,r\widetilde{\Gamma}_{w,L,r}. A quotient graph is included in Qw,L,r{\cal Q}_{w,L,r} if it is realizable, and if in the corresponding partition each of the r⋅Lr\cdot L vertices that represent the rr LL-cycles is in a different block.

Let Γ\Gamma be some graph in Qw,L,r{\cal Q}_{w,L,r}. A realization of Γ\Gamma is a kk-tuple of permutations σ1,…,σk∈Sn\sigma_{1},\ldots,\sigma_{k}\in S_{n}, a list of rr LL-cycles of w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}) and a specified starting point for each cycle, such that they belong to Γ\Gamma’s category. The number of realizations of Γ\Gamma is the same as in (5), namely:

Since every list of rr LL-cycles is counted LrL^{r} times (there are LrL^{r} ways to choose the starting points), we have:

Note that the equality between (21) and (4.2) holds only for nn large enough. Indeed NΓ(n)=0N_{\Gamma}(n)=0 if n<eΓjn<e^{j}_{\Gamma} for some Γ∈Qw,L,r\Gamma\in{\cal Q}_{w,L,r} and j∈{1,…,k}j\in\{1,\ldots,k\}. This holds for n\geq max_{j=1,\ldots,k}\big{(}e_{j}(\widetilde{\Gamma}_{w,L,r})\big{)}.

For every L≥1L\geq 1 and r≥1r\geq 1, (4.2) thus yields a rational function in nn, which, for sufficiently large nn, is the rr-th factorial moment of Xw,L(n)X_{w,L}^{(n)}. It is convenient to rewrite (4.2) as a function of 1n\frac{1}{n}:

We can now define a rational function ψw,L,r\psi_{w,L,r} by:

The following lemma shows that ψw,L,r\psi_{w,L,r} is well defined on a neighborhood of .

For each Γ∈Qw,L,r\Gamma\in{\cal Q}_{w,L,r}, χ(Γ)≥1\chi(\Gamma)\geq 1.

Note that in Γ~w,L,r\widetilde{\Gamma}_{w,L,r} every vertex has degree 2, since ww is cyclically reduced. This degree can not decrease in a quotient. Therefore, every vertex in every Γ∈Qw,L,r\Gamma\in{\cal Q}_{w,L,r} has degree at least 2, and the lemma follows. ∎

3 Proving Theorem 25 with the Method of Moments

The proof of Theorem 25 is based on the method of moments. Under certain mild conditions, a probability distribution is determined by its moments, or as here, a limit distribution is determined by the limits of the moments.

Note that if XX and the XnX_{n} are integer-valued then Xn→disXX_{n}\stackrel{{\scriptstyle dis}}{{\to}}X is equivalent to Pr(Xn=k)→Pr(X=k)Pr(X_{n}=k)\to Pr(X=k) for every integer kk.

The relation between regular moments and factorial moments implies:

The statement of Theorem 28 holds where moments are replaced by factorial moments.

In this section we use Corollary 29 to prove Theorem 25. That Xw,L(n)X_{w,L}^{(n)} has moments of all order is evident. We still need to show that the r.h.s of (18) is determined by its moments, and that the rr-th factorial moment of Xw,L(n)X_{w,L}^{(n)} indeed converges to the rr-th factorial moment of this random variable.

Theorem 30.1 from [Bil95] provides a sufficient condition for a probability measure μ\mu to be determined by its moments, namely, that the power series ∑rαrtr/r!\sum_{r}\alpha_{r}t^{r}/r! where αr\alpha_{r} is the rr-th moment of μ\mu has a positive radius of convergence. (This series is the moment generating function of μ\mu, when the latter exists.) For μ\mu a Poisson distribution (with any parameter), this power series converges for all real tt (e.g., [Pit97], section 4), so μ\mu is determined by its moments. A convolution (a summation) of several Poisson distributions is itself Poisson (whose parameter is the sum of parameters), and thus satisfies the condition as well.

In particular, recall that the r.h.s. of (18) is ∑h∈H(d,L)hZ1/Lh\sum_{h\in H(d,L)}hZ_{1/Lh}, where Zm∼Poi(m)Z_{m}\sim Poi(m). If we omit the constant hh of every term in this sum, we obtain ∑h∈H(d,L)Z1/Lh\sum_{h\in H(d,L)}Z_{1/Lh}, whose distribution is simply Poi\big{(}\sum_{h\in H(d,L)}1/Lh\big{)}, which is determined by its moments. According to the definition of H(d,L)H(d,L) in (19), each h∈H(d,L)h\in H(d,L) satisfies 1≤h≤d1\leq h\leq d. Thus, if we denote by αr\alpha_{r} the rr-th moment of ∑h∈H(d,L)Z1/Lh\sum_{h\in H(d,L)}Z_{1/Lh} and by βr\beta_{r} the rr-th moment of ∑h∈H(d,L)hZ1/Lh\sum_{h\in H(d,L)}hZ_{1/Lh}, then αr≤βr≤drαr\alpha_{r}\leq\beta_{r}\leq d^{r}\alpha_{r}. Consequently, the series ∑rβrtr/r!\sum_{r}\beta_{r}t^{r}/r! has radius of convergence that is ≥1d\geq\frac{1}{d} that of the series ∑rαrtr/r!\sum_{r}\alpha_{r}t^{r}/r!. But the latter converges for all real tt, hence so does ∑rβrtr/r!\sum_{r}\beta_{r}t^{r}/r!, and the distribution of ∑h∈H(d,L)hZ1/Lh\sum_{h\in H(d,L)}hZ_{1/Lh} is determined by its moments.

As explained in the proof of Lemma 27, the equality χ(Γ)=1\chi(\Gamma)=1 holds for some Γ∈Qw,L,r\Gamma\in{\cal Q}_{w,L,r}, iff every vertex in Γ\Gamma has degree 2, i.e., iff Γ\Gamma is a disjoint union of cycles.

We denote by Cw,L,r{\cal C}_{w,L,r} the subset of Qw,L,r{\cal Q}_{w,L,r} consisting of all graphs which are a disjoint union of cycles. (25) now becomes:

Let w∈Fkw\in\mathbf{F}_{k} be cyclically reduced and equal udu^{d} with uu primitive and d≥1d\geq 1. A graph Γ∈Cw,L,r\Gamma\in{\cal C}_{w,L,r} has a very specific structure: Each cycle cc in Γ\Gamma must be a cyclic concatenation of several copies of uu (every cycle in Γ\Gamma looks like Γ~u,b,1\widetilde{\Gamma}_{u,b,1} for some positive integer bb).

To see this, recall that each cycle cc in Γ\Gamma represents a closed trail through wLw^{L} (at least one closed trail). Hence there is some vertex xx in cc and some orientation on cc, such that if we leave xx in this orientation and go exactly d⋅Ld\cdot L times through uu, we get back to xx (possibly after tracing cc several times). Since uu is primitive, it cannot be invariant under cyclic shift of any length l<∣u∣l<|u|, and the size of cc must divide ∣u∣|u|. (In fact, the integer ∣c∣/∣u∣|c|/|u| divides d⋅Ld\cdot L).

Moreover, all closed trails that are represented in cc, go in the same direction (and thus also start in one of the ∣c∣/∣u∣|c|/|u| head vertices of uu). We already saw in the proof of Lemma 14 that for uu primitive, u−1u^{-1} is not a subword of u2u^{2}. This rules out the possibility of “finding uu in the opposite direction”.

This analysis of the structure of the graphs in Cw,L,r{\cal C}_{w,L,r} yields an important corollary, which ultimately explains why the limit distribution of Xw.L(n)X_{w.L}^{(n)} depends solely on dd and LL, and not on uu:

Let w1,w2∈Fkw_{1},w_{2}\in\mathbf{F}_{k} be cyclically reduced and equal u1  du_{1}^{\;d} and u2  du_{2}^{\;d}, respectively, with u1u_{1} and u2u_{2} primitive and d≥1d\geq 1. Then

The analysis above shows that the inner structure of uu is completely irrelevant to the graphs in Cw,L,r{\cal C}_{w,L,r}, and there is a natural bijection between Cw1,L,rC_{w_{1},L,r} and Cw2,L,rC_{w_{2},L,r}: simply replace each copy of u1u_{1} by a copy of u2u_{2}. ∎

3.3 The Simple Case of a Primitive Word

On the other hand, when ww is primitive, the r.h.s. of (18) is simply Z1/LZ_{1/L}. Let XX be an integer-valued non-negative random variable and let fX(t)f_{X}(t) be its generating function

The generating function of Z1/LZ_{1/L} is f(t)=e−1LetLf(t)=e^{\frac{-1}{L}}e^{\frac{t}{L}}. Thus,

which completes the proof of Theorem 25 for ww primitive.

3.4 The General Case

and if H(d,L)={h1,…,hp}H(d,L)=\{h_{1},\ldots,h_{p}\}, then

As before, let H(d,L)={h1,…,hp}H(d,L)=\{h_{1},\ldots,h_{p}\}. For j=1,…,pj=1,\ldots,p consider those LL-cycles which are associated in the quotient Γ\Gamma to a cycle of length Lhj⋅∣u∣Lh_{j}\cdot|u|. (The ii-th LL-cycle belongs to the cycle cc in Γ\Gamma if the blocks containing s0i,…,sL∣w∣−1is^{i}_{0},\ldots,s^{i}_{L|w|-1} correspond to vertices in cc.) Let rjr_{j} be the number of such LL-cycles whence ∑rj=r\sum r_{j}=r, and there are (rr1…rp)\binom{r}{r_{1}\ldots r_{p}} ways to choose which LL-cycles go where (Recall that Γ~w,L,r\widetilde{\Gamma}_{w,L,r} consists of an ordered list of rr LL-cycles). Now let Cw,L,rh{\cal C}_{w,L,r}^{h} denote the subset of Cw,L,r{\cal C}_{w,L,r} consisting of all quotient graphs where all disjoint cycles are of equal length of Lh∣u∣Lh|u| each. Then we have:

(Cw,L,0h{\cal C}_{w,L,0}^{h} denotes the singleton of the empty graph, and therefore \big{|}{\cal C}_{w,L,0}^{h}\big{|}=1).

By combining (27) and (28), we conclude that Theorem 25 will follow if we show

for every L≥1,r≥0L\geq 1,r\geq 0 and h∈H(d,L)h\in H(d,L).

We begin with the l.h.s. of (29). Recall that by definition, each graph Γ∈Cw,L,rh\Gamma\in{\cal C}_{w,L,r}^{h} consists of a disjoint union of cycles of length Lh∣u∣Lh|u| each. Thus, each cycle represents up to hh distinct LL-cycles of w(σ1,…,σk)w(\sigma_{1},\ldots,\sigma_{k}), and Γ\Gamma can represent up to h⋅(# cycles in Γ)h\cdot(\textrm{\# cycles in }\Gamma) distinct LL-cycles. But Γ\Gamma represents only rr distinct LL-cycles, whence there are h⋅(# cycles in Γ)−rh\cdot(\textrm{\# cycles in }\Gamma)-r “free spots” in Γ\Gamma that can contain new LL-cycles. We illustrate these notions in Figure 10.

Now let αw,L,rh[j]\alpha_{w,L,r}^{h}[j] denote the number of graphs in Cw,L,rh{\cal C}_{w,L,r}^{h} with jj free spots. We can define the generating function of the αw,L,rh[j]\alpha_{w,L,r}^{h}[j]:

and obviously g_{w,L,r}^{h}(1)=\big{|}{\cal C}_{w,L,r}^{h}\big{|}.

Before we derive a recursion formula for this function, we want to illustrate by writing explicit expressions for r=0,1,2r=0,1,2. Every connected component (=cycle) in every Γ∈Cw,L,rh\Gamma\in{\cal C}_{w,L,r}^{h}, realizes at least one LL-cycle. Thus, when r=0r=0 and there are no LL-cycles at all, we have only the empty graph which has no free spots, and so gw,L,0h(t)=1g_{w,L,0}^{h}(t)=1. When r=1r=1, we have a single graph in Cw,L,1h{\cal C}_{w,L,1}^{h}, with h−1h-1 free spots (a single cycle of LhLh copies of uu), and therefore gw,L,1h(t)=th−1g_{w,L,1}^{h}(t)=t^{h-1}. For r=2r=2 there is always a two-cycle graph with one LL-cycle in each cycle. This graph has 2(h−1)2(h-1) free spots. In addition, if h≥2h\geq 2, there are also graphs consisting of a single cycles that corresponds to two LL-cycles. There are L(h−1)L(h-1) ways to place the two LL-cycles and such graphs have (h−2)(h-2) free spots. Thus, for h=1h=1, gw,L,2h(t)=t2(h−1)g_{w,L,2}^{h}(t)=t^{2(h-1)} and for h≥2h\geq 2 gw,L,2h(t)=L(h−1)th−2+t2(h−1)g_{w,L,2}^{h}(t)=L(h-1)t^{h-2}+t^{2(h-1)}.

We now want to derive the functions gw,L,rhg_{w,L,r}^{h} by recursing on rr. Let Γ\Gamma be a graph in Cw,L,rh{\cal C}_{w,L,r}^{h} with jj free spots. In what manners can we add another LL-cycle and make it a graph in Cw,L,r+1h{\cal C}_{w,L,r+1}^{h}? We have two options: we can put the new LL-cycle in one of the jj free spots, in LL possible ways (LL possible cyclic shifts), resulting in j⋅Lj\cdot L different graphs in Cw,L,r+1h{\cal C}_{w,L,r+1}^{h}, each of which has j−1j-1 free spots. Alternatively, we can add one new cycle to Γ\Gamma and put there our new LL-cycle, which yields a single graph in Cw,L,r+1h{\cal C}_{w,L,r+1}^{h} with j+h−1j+h-1 free spots. Thus, we have:

We now go back to the right side of (29). Recall that fhZ1/Lh(t)=e−1LhethLhf_{hZ_{1/Lh}}(t)=e^{-\frac{1}{Lh}}e^{\frac{t^{h}}{Lh}}. If we write fhZ1/Lh   (r)(t)=e−1LhethLh⋅qL,rh(t)f_{hZ_{1/Lh}}^{~{}~{}~{}(r)}(t)=e^{-\frac{1}{Lh}}e^{\frac{t^{h}}{Lh}}\cdot q_{L,r}^{h}(t) where qL,rh(t)q_{L,r}^{h}(t) is the appropriate polynomial, then

Thus gw,L,rh(t)=Lr⋅qL,rh(t)g_{w,L,r}^{h}(t)=L^{r}\cdot q_{L,r}^{h}(t), and we can conclude:

when the last equality comes from the fact that e^{-\frac{1}{Lh}}e^{\frac{t^{h}}{Lh}}\big{|}_{t=1}=1.

In fact, the technique presented here are likely to yield further results. The method of moment applies as well to random vectors (for distributions that are determined by their moments, see, e.g., [JŁR00], Theorem 6.2). The joint moments of Xw,L1(n),…,Xw,Lk(n)X_{w,L_{1}}^{(n)},\ldots,X_{w,L_{k}}^{(n)} for some kk and positive integers L1,…,LkL_{1},\ldots,L_{k} can be analyzed similarly to the way we analyzed the moments of Xw,L(n)X_{w,L}^{(n)} for some LL, and the limit joint distribution of these variables is probably determined by its moments.

It is of great interest to study word maps for other groups or for non-uniform distributions on SnS_{n}. For results of this nature see [Ben06].

Open problems

Many interesting questions and conjectures were raised in this paper. We collect them here.

Let uu and ww be two words such that for any finite group GG, the distribution of the two word maps on GG are identical. Is it true that u∼wu\sim w?

(Conjecture 15) β(w)=ϕ(w)\beta(w)=\phi(w) for every word ww.

(A consequence of Conjecture 15:) For every word ww, and sufficiently large nn, a random permutation in the image of ww in SnS_{n} has, on average, at least one fixed point.

Friedman’s Conjecture: For every base graph GG, almost surely all new eigenvalues in lifts of GG are ≤ρ+o(1)\leq\rho+o(1).

Nica’s theorem determines the behavior of the number of LL-cycles in the SnS_{n}-image of any formal word ww. There are numerous other parameters of such permutations (e.g. the number of cycles) whose typical behavior is still not understood.

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