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Dependence on the generating set

All the results discussed so far in this chapter concerned spinal groups with the spinal generating set S = (A∪B)\ {1}. One might also wonder what are the spectra like if we consider different generating sets, for instance minimal ones. Some progress has been achieved, for example in [38] the authors characterize whether the spectra of the weighted Markov operator on the Schreier graphs of Grigorchuk’s group are either a union of intervals or a Cantor set, depending on the weights on its usual generators.

For spinal groups acting on the binary tree (d= 2), the infinite Schreier graphsΓξhave linear shape. The Schreier graphs of a minimal generating set can then be obtained by erasing double edges in the Schreier graphΓξcorresponding to the spinal generatorsS. This can

be translated into considering a Markov operator onΓξ with non-uniform distribution of probabilities onS. The spectra of such anisotropic Markov operators were studied in [39].

Their analysis implies the next result. As in Section 4.3,Mξdenotes the Markov operator on the Schreier graphΓξwith respect to the spinal generating setS, forξ ∈XN, andMGω denotes the Markov operator on the Cayley graph also with respect to the spinal generating setS. For other generating setsT, we will explicitly writeΓTξ,MξT andMGT

ω.

Proposition 4.4.1. LetGωbe a spinal group withd= 2,m≥2andω∈Ωd,m, and letMξT be the Markov operator on the graphΓTξ, with generating setT ⊂S. Forπ ∈Epi(B, A), we defineqπ =|T ∩B\Ker(π)|. Two cases may occur:

• If the numbersqπ are all equal overπ ∈Epi(B, A)appearing infinitely often inω, thensp(MξT)is a union of intervals.

• Otherwise,sp(MξT)is a Cantor set of zero Lebesgue measure.

Proof. First notice thata∈T, or elseT would generate a finite group. We observe that we can relabel the vertices inΓTξ byZin such a way that the number of edges between them is the following:

• There is onea-edge between any vertexv∈2Zandv+ 1.

• There are|T∩B\Ker(ω0)|=qω0 edges, between any vertexv∈4Z+ 1andv+ 1, and|T∩Ker(ω0)|loops on each ofv,v+ 1.

• There are|T∩B\Ker(ω1)|=qω1 edges between any vertexv∈8Z+ 3andv+ 1, and|T∩Ker(ω1)|loops on each ofv,v+ 1.

...

• In general, for everyi≥ 0, there are|T ∩B\Ker(ωi)|edges between any vertex v ∈2i+2Z+ 2i+1−1andv+ 1, and|T∩Ker(ωi)|loops on each ofv,v+ 1.

Hence, the simple random walk onΓTξ is given by a weighted random walk onZ, defined by the following probabilities:

• Probability of |T1| of transitioning between any vertexv∈2Zandv+ 1.

• For everyi≥0, probability ofq|Tωi| of transitioning between any vertexv∈2i+2Z+ 2i+1−1andv+ 1.

• For everyi≥0, probability of1−q|Tωi||T1|of staying at any vertexv∈2i+2Z+2i+1−1 orv+ 1.

These probabilities follow a periodic pattern if and only if the numbersqπ are all equal for everyπ ∈Epi(B, A)occurring infinitely often inω. If this is not the case, we may use Corollary 7.2 in [39] to obtain thatsp(MξT)is a Cantor set of Lebesgue measure zero.

Suppose now thatqπ are all equal for everyπ ∈Epi(B, A)occurring infinitely often in ω, so the probabilities are periodic onZ, letlbe that period. We may computesp(MξT)using Floquet-Bloch theory. To do so, we first compute the spectrum of a fundamental domain, parametrized byk∈[−π, π], with some boundary conditions. This gives a set of eigenvalues {x1(k), . . . , xl(k)}, which are the roots of a polynomial of degreel. These polynomials only depend oncos(k). Nowsp(MξT)is just the union of these sets of eigenvalues for all k∈[−π, π]. Since the roots will vary continuously ascos(k)∈[−1,1], this union will be a union of at least one and at mostlintervals.

This result provides, for any generating set T ⊂ S, a characterization of the type of spectrum on the Schreier graphs in terms of the numbersqπ. We already know from Theorem 4.1.10 that the second option in Proposition 4.4.1 is realized whenT =S, the spinal generating set. The following result states that, except one degenerate example corresponding toGω =D(d= 2,m = 1), every spinal group on the binary tree has a generating set which gives a Cantor spectrum.

Corollary 4.4.2. For every spinal groupGωwithd= 2,m≥2andω∈Ωd,mthere exists a minimal generating setT ⊂Sfor whichsp(MξT)is a Cantor set of Lebesgue measure zero.

Proof. Letπ, π0 ∈Epi(B, A)be two different epimorphisms occurring infinitely often in ω. Recall thatBis a vector space overZ/2Z, and letK = Ker(π)andK0 = Ker(π0). We know that[B :K] = [B :K0] = 2, and[K :K∩K0] = 2becauseπ0 surjectsKontoA with kernelK∩K0, sinceK 6=K0. Hence, we have[B :K∩K0] = 4. In particular, we can choosem−2elementsx1, . . . , xm−2 ∈ K∩K0 which generateK∩K0. Moreover, we can choose elementsy∈K\K0andy0 ∈K0\Kto complete the generating set to one ofKorK0, respectively, and such that{x1, . . . , xm−2, y, y0}generateB.

If we now defineT ={a, x1, x2, . . . , xm−2, y, yy0} ⊂S, it is clear that it is a minimal generating set forGω, since|T|=m+1. Moreover, we haveqπ =|T∩B\K|=|{yy0}|= 1 andqπ0 =|T∩B\K0|=|{y, yy0}|= 2. By Proposition 4.4.1,sp(MξT)is a Cantor set of Lebesgue measure zero.

We can also find a condition on the generating setT ⊂Sunder which the spectrum on the Schreier graphs is one interval, for certain spinal groupsGω.

Proposition 4.4.3. Let Gω be a spinal group withd = 2, m ≥ 2 and ω ∈ Ω2,m, with generating setT ⊂S. Ifqωi = 1for everyi≥0, thensp(MξT)is the interval[1−|T4|,1].

Proof. In the proof of Proposition 4.4.1, we established that the simple random walk onΓTξ is given by a weighted random walk onZ. Sinceqωi = 1for everyi≥0, the probabilities are reduced to:

• Probability |T1|of transitioning between any vertexv∈Zandv+ 1.

• Probability1−|T2|of staying at any vertexv∈Z.

The fact that the probabilities are periodic allows us to use Floquet-Bloch theory in order to findsp(MξT), and since the period is1, the computation is rather simple. The only eigenvalue of a fundamental domain, parametrized byk∈[−π, π], is the solution of the equation 0 = 1− 2

|T|+ 1

|T|eik+ 1

|T|e−ik−x= 1− 2

|T|+ 2

|T|cos(k)−x=⇒x= 1− 2

|T|+ 2

|T|cos(k).

Finally,

sp(MξT) = [

k∈[−π,π]

sp(MξT(k)) = [

k∈[−π,π]

1− 2

|T|+ 2

|T|cos(k)

=

1− 4

|T|,1

.

Recall that self-similar groups within the family of spinal groups were studied by Šuni´c [65]. For everydandm, there are finitely many of them, and they can be specified in terms of an epimorphismα∈Epi(B, A)and an automorphismρ∈Aut(B). The groups in Šuni´c’s family are then the spinal groups defined by the periodic sequenceω= (ωn)ngiven byωn=α◦ρn. Moreover, it was shown that any of these groups admits a natural minimal Šuni´c generating setT ={a, b1, . . . , bm}, contained in the spinal generating setS, such that

a= (1,1)σ b1= (1, b2) b2 = (1, b3) . . . bm−1 = (1, bm) bm= (a, b0), for someb0 ∈ B. Notice that, fori = 1, . . . , m−1, α(bi) = 1andρ(bi) = bi+1, while α(bm) = a and ρ(bm) = b0. The choice of this b0 ∈ B in such a way that ρ is an automorphism determines the group. It was also shown in [65] that a Šuni´c group is infinite torsion if and only if allρ-orbits intersectKer(α).

Example 4.4.4. Grigorchuk’s group is the groupGin Šuni´c’s family withd= 2,m = 2, A = {1, a}, B = {1, b1, b2, b1b2} andρ(b2) = b1b2. With the standard notation b, c, d for the generators, we haveb1 = d, b2 = band b1b2 = c. The only nontrivialρ-orbit is b1 7→ b2 7→ b1b2 7→ b1, which intersects Ker(α) at b1, hence the group is infinite torsion. The minimal Šuni´c generating set isT ={a, b1, b2}and the spinal generating set is S={a, b1, b2, b1b2}, with

a=τ(1,1) b1= (1, b2) b2 = (a, b1b2) b1b2= (a, b1),

whereτ is the nontrivial element ofSym(X). By Theorem 4.3.2, we have these minimal generating sets, what is the spectrum on the Cayley graph. So far, we only know it must contain this Cantor set.

Example 4.4.5. One natural choice in the construction of Šuni´c groups above is to take d= 2andρsuch thatb0 =b1. This gives one group for eachm≥2, which we callGm. We have

a=τ(1,1) b1 = (1, b2) b2 = (1, b3) . . . bm−1= (1, bm) bm = (a, b1), again forτ being the nontrivial element ofSym(X). The elementab1. . . bmis of infinite order. We consider two generating sets: the spinal generating setS= (A∪B)\ {1}, of size 2m, and the Šuni´c minimal generating setT ={a, b1, . . . , bm}, of sizem+ 1. On the one

Indeed, for any two-endedΓTξ, the simple random walk translates into the weighted random walk onZwith probability m+11 of moving to a neighbor and probability m−1m+1 of staying on any vertex. By taking a one-vertex fundamental domain parametrized byk∈[−π, π]and using Floquet-Bloch theory, we have: generating setT. Then the spectrum on the Schreier graph with respect toT is

hm−3 m+1,1

i if G=Gmor a Cantor set of zero Lebesgue measure otherwise.

Proof. We found above the spectrum on the Schreier graphs for the groupsGm. Suppose now thatsp(MξT)is a union of intervals. By Proposition 4.4.1, we have that the numbersqπ

are all equal overπ∈Epi(B, A)occurring infinitely often inω. By definition of the minimal Šuni´c generating setT, we know thatqω0 =m−1, so, asωis periodic,qωn =m−1for everyn≥0.

Now, for anyk= 0, . . . , m−1, we know thatωk(bm−k) =ω0ρk(bm−k) =ω0(bm) =a, sobm−k 6∈Ker(ωk). Asqωk =m−1, the only possibility is that, for everyj = 0, . . . , m−1, bj ∈Ker(ωk)if and only ifj6=k. In particular, this implies thatbm = (a, b1), so that we are in fact in the case of the groupGm.

We also have

Lemma 4.4.7. The Cayley graph ofGmwith generating setT is bipartite, for anym≥2.

Proof. We only have to show that all relations in the groupGmhave even length. Letwbe a freely reduced word onT, and let|w|represent its length and|w|tthe number of times the generatort∈T occurs inw.

Suppose thatwrepresents the identity element ofGm. In that case,|w|amust be even, or otherwise its action on the first level would be nontrivial. This allows us to write the word was a product ofbiandbai. Letw0andw1be the two projections of the wordwinto the first level, before reduction. Let us look at the decomposition of a generatort∈T. Ift=a, then it decomposes as1on both subtrees. Ift=bi, then it decomposes asbi+1on the right and as 1on the left, or asaifi=m. Notice that the decomposition ofbai is that ofbi exchanging the two projections.

It is clear that bothw0andw1represent the identity, too. Hence,|w0|aand|w1|amust both be even as well. But|w0|a+|w1|a=|w|bm, so|w|bmmust also be even.

By iterating this argument we can conclude that|w|must be even. In general, letwube the projection ofwonto the vertexuinXk, thek-th level of the tree, for1≥k≥m. For anyu∈Xk,wumust represent the identity, and hence|wu|amust be even. But tracing back thea’s occurring inwuwe obtain

X

u∈Lk

|wu|a= X

u∈Lk−1

|wu|bm =· · ·= X

u∈L1

|wu|bm−k+2=|w|bm−k+1.

This shows that|w|tis even, for everyt ∈ T, which implies that|w|is indeed even and hence that the Cayley graph with the generating setT is bipartite.

The spectrum of a bipartite graph is symmetric about0. At the same time, for amenable groups, the spectrum on any Schreier graph is contained in the spectrum on the Cayley graph.

Hence we have,

sp(MGTm)⊃ −sp(MξT)∪sp(MξT) =

−1,3−m m+ 1

m−3 m+ 1,1

.

Two cases are of special interest: m= 2andm= 3. In these cases, the union of the two intervals above is the whole interval[−1,1]and we can thus conclude that the spectrum of the Cayley graphs ofG2 andG3with respect to the minimal Šuni´c generating set is the whole interval[−1,1]. Form≥4, the union of intervals is actually disjoint, so we can only conclude that the spectrum of the Cayley graph contains two intervals[−1,−β]and[β,1], withβ >0.

Note that the group G2 was studied in [27] and is therefore sometimes called the Grigorchuk-Erschler group. It is the only self-similar group in the Grigorchuk family (spinal groups withd = 2andm = 2) besides Grigorchuk’s group. The groupG3 is known as Grigorchuk’s overgroup [4] because it contains Grigorchuk’s group as a subgroup. Indeed, the automorphismsb2b3,b1b3,b1b2are the generatorsb,c,dof Grigorchuk’s group.

Corollary 4.4.8. For the Grigorchuk-Erschler groupG2and Grigorchuk’s overgroupG3

the spectrum of the Cayley graph is a union of two disjoint intervals with respect to the spinal generating set and the interval[−1,1]with respect to the minimal Šuni´c generating set.

The groups Gm with respect to the minimal Šuni´c generating set T satisfy the first condition in Proposition 4.4.1. In particular, for everyn≥0, the numbersqωnare all equal tom−1, hence the spectrum on the Schreier graphs is a union of intervals, as we computed above. Nevertheless, they are the only Šuni´c groups to satisfy this condition forT, as shown in Proposition 4.4.6.

Example 4.4.9. Another non-torsion example in Šuni´c’s family of self-similar groups is the groupGgiven byd= 2,m= 3andρsuch thatρ(b3) =b1b2b3. We have

a= (1,1)σ b1 = (1, b2) b2= (1, b3) b3 = (a, b1b2b3).

Indeed, the elementb1b3 decomposes as(a, b1b3), so it constitutes aρ-orbit which does not intersectKer(α). Hence, the elementab1b3 is of infinite order. This group contains the subgroupha, b2b3, b1b2, b1b3i, which is isomorphic to the Grigorchuk-Erschler group. For the spinal generating setS, we have

sp(Mξ) = sp(MG) =

−1 4,0

∪ 3

4,1

.

Its minimal Šuni´c generating set is{a, b1, b2, b3}. AsGis notGm, by Proposition 4.4.6 we can conclude thatsp(MξT)is a Cantor set of zero Lebesgue measure. More precisely, the sequenceωis4-periodic and we haveqω0 =qω3 = 2whileqω1 =qω2 = 1.

Spectral measures

This chapter extends the study of the spectral properties of adjacency operators on Schreier graphs of spinal groups by computing their spectral measures. The spectrum of the adjacency operator∆ξ on the Schreier graphΓξ associated with a point ξ ∈ XN is a subset of R.

Spectral measures are measures with support in the spectrum, and provide more information than just the spectrum as a set. For instance, a function in`2ξ=`2ξ)projects trivially onto a given eigenspace of eigenvaluexif and only if its associated spectral measure vanishes for the set{x}.

The chapter is divided in four sections. We first compute the so-called empirical spectral measure, a measure which only depends on the finite Schreier graphsΓnand represents an averaging of all spectral measures. Then we exhibit three different types of spectral measures that may occur for infinite Schreier graphs of spinal groups. For spinal groups withd= 2, we show that all spectral measures on the graphsΓξare absolutely continuous with respect to the Lebesgue measure and give their density explicitly. For spinal groups withd ≥3, we construct a complete basis of eigenfunctions for`2ξ=`2ξ)for allξin a subset ofXN of uniform Bernoulli measure one, which implies that all spectral measures on the graphs Γξ of these groups are discrete. Finally, we consider the Schreier graphsΓπ that occur as accumulation points of graphs{(Γξ, ξ)}ξ in the space of Schreier graphsGGω,XN (see Theorem 3.7.3). We decompose the space`2π =`2π)as the direct sum of two nontrivial subspaces, whose functions have associated spectral measures which are singular continuous and discrete, respectively, thus providing new examples of Schreier graphs with nontrivial singular continuous component in the spectral measures.

5.1 Empirical spectral measure

In the proof of Theorem 4.1.7 we actually found the explicit multiplicities of the eigenvalues of∆n. These multiplicities allow us to compute the so-called empirical spectral measure (or

density of states) of the graphs{Γn}n.

Definition 5.1.1. Let{Yn}nbe a sequence of finite graphs, and, for everyn≥0let∆nbe the adjacency operator onYnandνnbe the counting measure onsp(∆n). Namely,

νn= 1

|Yn| X

x∈sp(∆n)

δx,

whereδxtakes value1atxand vanishes anywhere else, and the eigenvalues are counted with multiplicity. Following [46], if the measuresνnweakly converge to a measureν, we callνtheempirical spectral measureordensity of statesof{Yn}n.

Theorem 5.1.2. LetGωbe a spinal group withd≥2,m≥1andω ∈Ωd,m. Letν be the empirical spectral measure of{Γn}n. Ifd= 2,νis absolutely continuous with respect to the Lebesgue measure. Its density is given by the function

g(x) = |x−2m−1+ 1|

πp

x(x+ 2)(2m−x)(x−2m+ 2). (5.1) Ifd≥3, thenνis discrete. More precisely,

ν = d−2

From the multiplicities computed in the proof of Theorem 4.1.7, we have thatν0|S|, ν2= 1d|S|+ (d−1)δ|S|−d)and, forn≥2,

Ford= 2, all the multiplicities of the eigenvalues in the finite graphs are1, or equiva-lently, every eigenvalue of∆nhas the same mass, d1n. When taking the limit, the measure of each atom tends to zero and the set of eigenvalues becomes dense in either one (m= 1) or two (m≥2) intervals. Therefore, any set of positive empirical spectral measure is the union

−4 −2 0 2 4

−4 −2 0 2 4

Figure 5.1: Density functions of the empirical spectral measureνfor Grigorchuk’s group (d= 2, m= 2, above) and the Fabrykowski-Gupta group (d= 3, m= 1, below).

of cones of the set of preimages ofF(x) = x2 −d(d−1)plus their closure, which has positive Lebesgue measure. Hence,νis absolutely continuous with respect to the Lebesgue measure. We can find its precise density if we notice the following, ford= 2andn≥1:

sp(∆n) =

2m−2 2 +p

4m−1+ 1 + 2mcosθ

∈ {±1}, θ∈ 2πZ 2n

\ {0,−2}.

Indeed, from the proof of Theorem 4.1.7 we recover the two branches of the inverse of ψ:

ψ−1(x) = 2m−2 2 +p

4m−1+ 1 + 2m−1x.

Any x ∈ F−k(0)can be written asx = ±√

2 +y, withy ∈ F−(k−1)(0). We can hence complete the proof of the equality above by induction, using the trigonometric identity 2 cos θ2

=±p

2 + 2 cos(θ). This allows us to find an injective, measure-preserving map χ: [0, π]× {0,1} →R, defined by

χ(θ, ) = 2m−2 2 +p

4m−1+ 1 + 2mcosθ,

with the spectrum uniformly distributed with respect to the Lebesgue measureλon[0, π]× {0,1}. The empirical spectral measure of any subsetE ⊂ R is then given byν(E) =

λ(χ−1(E)). The densityg(x)ofνis thus given by g(x) = 1

2π d

dxχ−1(x), which coincides with the expression in the statement.