This paper studies the structure of stable weak equivalence classes of measure-preserving actions of countable groups, revealing a rich geometric structure that varies with the group's properties, including the presence of free subgroups.
Contribution
It proves that the set of stable weak equivalence classes forms a Choquet simplex, with its structure depending on whether the group is amenable or contains free subgroups.
Findings
01
For amenable groups, all essentially free actions are weakly equivalent.
02
For non-amenable free groups, the simplex is the Poulsen simplex.
03
Groups containing nonabelian free groups have uncountably many strongly ergodic extreme points.
Abstract
The concept of (stable) weak containment for measure-preserving actions of a countable group Γ is analogous to the classical notion of (stable) weak containment of unitary representations. If Γ is amenable then the Rokhlin lemma shows that all essentially free actions are weakly equivalent. However if Γ is non-amenable then there can be many different weak and stable weak equivalence classes. Our main result is that the set of stable weak equivalence classes naturally admits the structure of a Choquet simplex. For example, when Γ=Z this simplex has only a countable set of extreme points but when Γ is a nonamenable free group, this simplex is the Poulsen simplex. We also show that when Γ contains a nonabelian free group, this simplex has uncountably many strongly ergodic essentially free extreme points.
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Full text
The space of stable weak equivalence classes of measure-preserving actions
Lewis Bowen111supported in part by NSF grant DMS-1500389, NSF CAREER Award DMS-0954606 and Robin Tucker-Drob222supported in part by NSF grant DMS-1600904
Abstract
The concept of (stable) weak containment for measure-preserving actions of a countable group Γ is analogous to the classical notion of (stable) weak containment of unitary representations. If Γ is amenable then the Rokhlin lemma shows that all essentially free actions are weakly equivalent. However if Γ is non-amenable then there can be many different weak and stable weak equivalence classes. Our main result is that the set of stable weak equivalence classes naturally admits the structure of a Choquet simplex. For example, when Γ=Z this simplex has only a countable set of extreme points but when Γ is a nonamenable free group, this simplex is the Poulsen simplex. We also show that when Γ contains a nonabelian free group, this simplex has uncountably many strongly ergodic essentially free extreme points.
A. Kechris introduced the notion of weak containment for group actions as an analogue of weak containment for unitary representations [Kec10, II.10 (C)]. Given a countable group Γ and probability measure-preserving (pmp) actions a:=Γ↷a(X,μ),b:=Γ↷b(Y,ν) on standard probability spaces, we say a is weakly contained in b (denoted a≺b) if for every finite measurable partition {Pi}i=1n of X, finite S⊆Γ and ϵ>0 there exists a measurable partition {Qi}i=1n of Y satisfying
[TABLE]
for all γ∈S and 1≤i,j≤n (where the action of Γ↷aX is denoted γax for γ∈Γ,x∈X for example). We say a is weakly equivalent to b, denoted a∼b, if both a≺b and b≺a.
The Rokhlin Lemma is essentially equivalent to the statement that for the group Γ=Z all essentially free333An action is essentially free if almost every point has trivial stabilizer. pmp actions are weakly equivalent. Indeed, as remarked in [Kec12], this statement holds for all countable amenable groups. However it fails for nonamenable groups because strong ergodicity is an invariant of weak equivalence [Kec10, Prop. 10.6]. This motivates the problem of providing a description of the set of all weak equivalence classes, denoted by \EuScriptWΓ, for a given group Γ.
We start with an equivalent definition of weak containment. Let Cantor denote any space homeomorphic to a Cantor set. Let Γ act on CantorΓ by (γx)(f)=x(γ−1f). Let ProbΓ(CantorΓ) denote the space of all Γ-invariant Borel probability measures on CantorΓ equipped with the weak* topology. It is well-known that ProbΓ(CantorΓ) is a Choquet simplex: this means it is a compact convex subset of a locally convex topological vector space with the property that every element μ∈ProbΓ(CantorΓ) can be uniquely written as a convex integral of extreme points of ProbΓ(CantorΓ).
Given an action a:=Γ↷a(X,μ), let Factor(a)⊆ProbΓ(CantorΓ) denote the set of measures of the form Φ∗μ where Φ:X→CantorΓ is a Γ-equivariant measurable map and Φ∗μ=μ∘Φ−1. The weak* closure of Factor(a) is denoted W(a). It follows from [AW13] that a≺b if and only if W(a)⊆W(b) (see also [TD15, Prop. 3.6]). So the map a↦W(a) induces an injective map from the set of weak equivalence classes into the set of closed subsets of ProbΓ(CantorΓ). We equip the latter with the Vietoris topology, and \EuScriptWΓ with the subspace topology. This topology, considered in [TD15], is a reformulation of a construction due to Abert-Elek. The main result of [AE11] is that \EuScriptWΓ is compact (an alternative proof is given in [TD15]).
This motivates the question: what sort of subsets of ProbΓ(CantorΓ) can have the form W(a)? This is addressed in [AW13]: if a is strongly ergodic then W(a) is contained in the set of extreme points of ProbΓ(CantorΓ). If a is ergodic but not strongly ergodic then W(a) is a subsimplex of ProbΓ(CantorΓ): that is, it is the convex hull of the extreme points of ProbΓ(CantorΓ) contained in W(a). See Theorem 5.1 below.
We now turn towards a description of stable weak equivalence classes where we obtain a more complete picture. We say that a is stably weakly contained in b, denoted a≺sb, if a×i≺b×i where i denotes the trivial action of Γ on the unit interval equipped with Lebesgue measure. If both a≺sb and b≺sa then we say the two actions are stably weakly equivalent and denote this by a∼sb. Let SW(a):=W(a×i); by [TD15, Theorem 1.1] SW(a) is the closed convex hull of W(a) (see Lemma 5.2). Then a≺sb if and only of SW(a)⊆SW(b). So a↦SW(a) induces an injective map from the set of stable weak equivalence classes into the set of closed convex subsets of ProbΓ(CantorΓ). We denote the set of stable weak equivalence classes with the induced topology by \EuScriptSWΓ. Like the weak equivalence case, \EuScriptSWΓ is compact444This can be proven in a manner similar to the case of \EuScriptWΓ. Alternatively, by Lemma 5.2 one can view \EuScriptSWΓ as the subspace of convex elements of \EuScriptWΓ. Because convexity is a closed property, \EuScriptSWΓ is closed in \EuScriptWΓ and therefore is compact.. By Theorem 5.1, if a is ergodic then SW(a) is a subsimplex of ProbΓ(CantorΓ).
To simplify notation, let P:=ProbΓ(CantorΓ) and Closed(P) denote the space of all closed subsets of P equipped with the Vietoris topology, and let CloCon(P) denote the collection of all closed convex subsets of P. The space CloCon(P) is compact, and it admits a natural convex structure: if F1,F2∈CloCon(P) and t∈[0,1] then tF1+(1−t)F2∈CloCon(P) is defined to be the set of all measures of the form tμ1+(1−t)μ2 with μi∈Fi (i=1,2). The space \EuScriptSWΓ is then a closed convex subset of CloCon(P). Our main result is that \EuScriptSWΓ is a Choquet simplex (Theorem 10.1). This means that for every α∈\EuScriptSWΓ there exists a unique probability measure on the set of extreme points of \EuScriptSWΓ such that α is the barycenter of this measure.
Can we identify the simplex \EuScriptSWΓ up to affine homeomorphism? To begin answering this question we need the following concept. An invariant random subgroup is a random subgroup of Γ whose law is invariant under conjugation. Let IRS(Γ) denote the space of all conjugation-invariant Borel probability measures on the space of subgroups of Γ. To any pmp action a=Γ↷a(X,μ) we associate the element IRS(a) defined by
[TABLE]
where Stab:X→Sub(Γ) is the map Stab(x)={g∈Γ:gax=x} and Sub(Γ) is the space of subgroups of Γ with the pointwise convergence topology. By [AE11] and [TD15], if a∼sb then IRS(a)=IRS(b). So we have a well-defined map IRS:\EuScriptSWΓ→IRS(Γ). In [TD15, Theorem 5.2] and [Bur15, Corollary 5.1] it is shown that this map is affine and continuous. It is also surjective by [AGV14, Proposition 45]. In [TD15] (see the remark after [TD15, Theorem 1.8]), it is shown that when Γ is amenable, IRS is a homeomorphism. So we have a complete description of \EuScriptSWΓ in the case where Γ is amenable.
When Γ is nonamenable however, there can be many stable weak equivalence classes which map to a given IRS of Γ. If Γ is a nonamenable free group, then P. Burton showed that the subsimplex of \EuScriptSWΓ consisting of all stable weak equivalence class of free actions, is a Poulsen simplex [Bur15]. This means that its extreme points are dense. There is a unique Poulsen simplex up to affine homeomorphism [LOS78]. If Γ has property (T), then Theorem 11.1 below shows that \EuScriptSWΓ is a Bauer simplex which means that the extreme points form a closed subset of \EuScriptSWΓ. In particular, \EuScriptSWΓ cannot be a Poulsen simplex.
In case Γ has a nonamenable free subgroup, Theorem 12.3 below shows that \EuScriptSWΓ has an uncountable set {Sp}p≥2 of extreme points indexed by the interval [2,∞). Moreover, each Sp is the class of a free, mixing, strongly ergodic action. The proof uses Okayasu’s result that the universal ℓp(Γ)-representations of the free group are pairwise weakly inequivalent [Oka14].
1.1 Related literature
Burton and Kechris have written a very recent survey article on weak containment [BK16].
For every countable group Γ there exists a pmp action a such that all pmp actions of Γ are weakly contained in a. This is known as the weak Rokhlin property [GTW06]. This property was introduced by Glasner-King where it was shown to imply a correspondence between generic properties of pmp actions and invariant measures [GK98].
Moreover, every essentially free action weakly contains every Bernoulli action [AW13]. This latter fact has been used to show that the cost of essentially free actions of Γ is maximized by the Bernoulli actions. Moreover, certain combinatorial quantities such as independence number of actions are weak equivalence invariants which allows one to use compactness to prove that their extreme values are realized [CKTD13]. This paper also establishes equivalent definitions of weak containment in terms of the space of all actions and ultraproducts of actions.
A residually finite group Γ has property MD if every action is stably weakly contained in a profinite action of Γ. It is known that residually finite amenable groups, free groups, and fundamental groups of closed hyperbolic 3-manifolds555In [BTD13] it was shown that fundamental groups of virtually fibered hyperbolic 3-manifolds have property MD. By [Ago13] all closed hyperbolic 3-manifolds are virtually fibered. have property MD [BTD13]. This property is a strengthening of Lubotsky-Shalom’s property FD which is defined similarly but for unitary representations instead of pmp actions [LS04]. It is unknown whether the direct product of two free groups has MD or FD.
The main result of [AE12] is that, for strongly ergodic actions, weak containment of a given finite action implies actual containment of the same action. They apply this to show that certain groups such as free groups and linear property (T) groups, admit an uncountable family of non-weakly-equivalent essentially free ergodic actions [AE12]. Ioana and Tucker-Drob strengthened the main result of [AE12] by generalizing finite actions to distal actions. Consequently, the weak equivalence class of a strongly ergodic action remembers the weak isomorphism class of its maximal distal factor [ITD16].
Aaserud and Popa introduced several variants of weak containment in the context of orbit-equivalence [AP15]. Abért and Elek show in [AE11] that the invariant random subgroup (IRS) of an action is a weak equivalence invariant. Tucker-Drob showed in [TD15] that actions within a given weak equivalence class are unclassifiable up to countable structures.
Peter Burton showed in [Bur15] that the space of stable weak equivalence classes naturally forms a convex compact subset of a Banach space and, when Γ is amenable, identifies this simplex as the simplex of IRS’s. The proofs used some ideas from an earlier draft of this paper.
Acknowledgements. After obtaining the proof that the space of stable weak equivalence classes forms a simplex, we naturally wondered what simplex could it be. It seemed natural to guess that for the free group, one obtains a Poulsen simplex. Peter Burton’s beautiful proof of this result inspired us to finish this work [Bur15]. So thanks, Peter. We would also like to thank Matthew Wiersma for pointing us to Okayasu’s paper [Oka14].
2 Preliminaries
2.1 Glossary
•
An action Γ↷(X,μ) is pmp if μ is a probability measure and the action is measure-preserving.
•
An action Γ↷(X,μ) is essentially free if for a.e. x∈X, the stabilizer of x in Γ is trivial.
2.2 Notation
Throughout this paper, Cantor denotes the Cantor set, Γ a countable group, P:=ProbΓ(CantorΓ) the space of invariant Borel probability measures on CantorΓ equipped with the weak* topology, Perg⊆P the subspace of ergodic invariant measures, Closed(P) the space of closed subsets of P with the Vietoris topology, and CloCon(P) the space of closed convex subsets of P. Moreover, if a=Γ↷a(X,μ) is a pmp action then Factor(a)⊆P is the set of all measures of the form Φ∗μ where Φ:X→CantorΓ is measurable and Γ-equivariant. Also W(a) is the weak* closure of Factor(a) and SW(a)=W(a×i) where i denotes the trivial action of Γ on the unit interval with respect to Lebesgue measure. We let \EuScriptWΓ⊆Closed(P) denote the collection of all closed subsets of the form W(a) and \EuScriptSWΓ⊆Closed(P) denotes the collection of all closed subsets of the form SW(a) over all pmp actions a of Γ. Note that \EuScriptSWΓ⊆CloCon(P) by [TD15, Theorem 1.1].
If a=Γ↷a(X,μ) then the action of Γ on X is denoted gax for g∈Γ,x∈X. For t>0 we define the action ta by ta=Γ↷a(X,tμ). In other words, it is the same action, we simply scale the measure by t. If b=Γ↷b(Y,ν) is another action then we define a⊕b to be the action a⊕b=Γ↷a⊕b(X⊔Y,μ⊕ν) where X⊔Y denotes the disjoint union of X and Y, μ⊕ν(E)=μ(E∩X)+ν(E∩Y) for E⊆X⊔Y and ga⊕bx=gax,ga⊕by=gby for x∈X, y∈Y and g∈Γ.
3 Strong ergodicity
Definition 1**.**
Let a=Γ↷a(X,μ). We say that a sequence {Bi}i=1∞ of measurable sets in X is asymptotically invariant (with respect to a) if for every g∈Γ,
[TABLE]
We say that {Bi}i=1∞ is nontrivial if limsupi→∞μ(Bi)(1−μ(Bi))>0. The action a is strongly ergodic if it does not admit any nontrivial asymptotically invariant sequences. Equivalently, a is strongly ergodic if b≺a implies b is ergodic (see [CKTD13, Prop. 5.6]).
Definition 2**.**
If a and b are pmp actions of Γ and t∈[0,1] then we write tb≺a to mean that tb⊕(1−t)i0≺a where i0 is the trivial action of Γ on a one point probability space. Since any pmp action trivially contains i0, if c is any pmp action and sb⊕(1−s)c≺a for some 0<s≤1, then sb≺a.
More generally, if a,b are any finite-measure-preserving actions then b≺a means that tb≺ta where t>0 is chosen so that ta is probability-measure-preserving.
The main result of this section is:
Theorem 3.1**.**
Let a be an ergodic but not strongly ergodic pmp action of Γ. Then for every 0<t<1, ta≺a.
The next result was obtained in [JS87, Proof of Lemma 2.3].
Lemma 3.2** (Asymptotically invariant sets are mixing).**
Let a=Γ↷a(X,μ) be ergodic and let {Bi}i=1∞⊆X be an asymptotically invariant sequence with respect to a such that
[TABLE]
If A1,A2 are any measurable subsets of X then for every g∈Γ,
[TABLE]
Corollary 3.3**.**
If a=Γ↷a(X,μ) is an ergodic but not strongly ergodic pmp action of Γ then for every t∈(0,1) there exists an asymptotically invariant sequence {Bi} such that limi→∞μ(Bi)=t.
Proof.
Let N⊆(0,1) be the set of all numbers t∈(0,1) such that there exists an asymptotically invariant sequence {Bi} such that limi→∞μ(Bi)=t. Suppose that {Bi} and {Cj} are asymptotically invariant sequences. Then {X∖Bi},{Bi∩Ci} and {Bi∪Ci} are asymptotically invariant. From the previous lemma it follows that {1−t,st,s+t−st:s,t∈N}⊆N. Since N is closed and nonempty, it follows that N=(0,1) as claimed.
∎
Let a=Γ↷a(X,μ), P={P1,…,Pk} be a finite Borel partition of X and 0<t<1. By the previous corollary there exists an asymptotically invariant sequence {Bn} with limn→∞μ(Bn)=t. By Lemma 3.2,
[TABLE]
for all Pi,Pj∈P and g∈Γ. Set Qi(n)=Bn∩Pi. The asymptotic invariance of {Bn} and the previous limit implies
[TABLE]
for any i,j and g∈Γ. This implies the theorem.
∎
4 Ergodic decomposition
The main purpose of this section is to prove:
Theorem 4.1**.**
Let a=Γ↷a(X,μ), b=Γ↷b(Y,ν), and c=Γ↷c(Y′,ν′) be pmp actions of Γ. Let us assume a is ergodic.
If a≺sb⊕(1−s)c for some 0<s≤1 then a≺b. Moreover a is weakly contained in almost every ergodic component of b.
2. 2.
If sb⊕(1−s)c≺a for some 0<s≤1 then b≺a. Moreover, almost every ergodic component of b is weakly contained in a.
3. 3.
If sb⊕(1−s)c∼a for some 0<s≤1 then b∼a. Moreover almost every ergodic component of b is weakly equivalent to a.
Part (1) is equivalent to [TD15, Theorem 3.12]. Part (3) follows from parts (1) and (2). So we need only prove part (2). We will need measure algebras as defined next.
Definition 3** (Measure algebras).**
Let (X,μ) denote a measure-space. Given measurable sets A,B⊆X we say that A and B are μ-equivalent if μ(A△B)=0. Let Aμ denote the μ-equivalence class of A. The measure-algebra of μ, denoted \mboxMALGμ, is the set of all classes Aμ where A⊆X is a measurable set of finite measure. We usually abuse notation by treating an element of \mboxMALGμ as if it were a subset of X instead of an equivalence class.
The set \mboxMALGμ has a natural metric given by symmetric difference: the distance between A,B∈\mboxMALGμ is μ(A△B). Note that if μ is a standard σ-finite measure then \mboxMALGμ is separable; it contains a countable dense subset.
We need the next few lemmas before proving the second statement of Theorem 4.1.
Lemma 4.2**.**
Let a=Γ↷a(X,μ) and b=Γ↷b(Y,ν) be pmp actions of Γ and let t∈[0,1]. Suppose that a is ergodic and that tb≺a. Then given any Borel partition B0,…,Bm−1 of Y, finite subset F⊆Γ, ϵ>0 and finite subset A⊆\mboxMALGμ, there exist B0′,…,Bm−1′⊆X such that, letting B′=⋃j<mBj′, we have the following for all g∈F:
μ(B′)=t* and μ(gaB′△B′)<ϵ;*
2. 2.
∑i,j<m∣μ(gaBi′∩Bj′)−tν(gbBi∩Bj)∣<ϵ;
3. 3.
∑A1,A2∈A∣μ(B′∩A1∩gaA2)−tμ(A1∩gaA2)∣<ϵ.
Proof.
Let B0,…,Bm−1, F, ϵ, and A be given as in the statement of the Lemma. Fix an increasing exhaustive sequence F0⊆F1⊆⋯ of finite subsets of Γ, along with a sequence of real numbers ϵn>0 with ϵn→0. Since tb≺a, for each n∈N we may find subsets B0(n),…,Bm−1(n)⊆X such that, letting B(n)=⋃j<mBj(n), we have for all g∈Fn,
(i)
∣μ(B(n))−t∣<ϵn and μ(gaB(n)△B(n))<ϵn;
2. (ii)
∑i,j<m∣μ(gaBi(n)∩Bj(n))−tν(gbBi∩Bj)∣<ϵn.
Because a is ergodic, either μ has no atoms or it uniformly distributed on a finite set of atoms. In the first case we can add or subtract a small subset from some of the Bi(n)’s to ensure the equality μ(B(n))=t (at the cost of replacing the error tolerance ϵn with Cϵn for some fixed constant C). In the second case we will automatically have this equality once ϵn is sufficiently small. In either case, we may assume μ(B(n))=t.
Now (i) says that the sequence {B(n)} is an asymptotically invariant sequence for a. So Lemma 3.2 now implies that there exists an n such that Bj′:=Bj(n) satisfies this lemma.
∎
Lemma 4.3**.**
Let a=Γ↷a(X,μ) and b=Γ↷b(Y,ν) be pmp actions of Γ. Let t∈[0,1]. Suppose that a is ergodic and tb≺a. Then tb⊕(1−t)a≺a.
Proof.
Given Borel partitions {B0,…,Bm−1} of Y and {A0,…,An−1} of X along with a finite subset F⊆Γ and ϵ>0 it suffices to find Borel subsets B0′,…,Bm−1′,A0′,…,An−1′⊆X such that
(i)
Ai′∩Bj′=∅ for all i<n and j<m;
2. (ii)
∑i,j<n∣μ(gaAi′∩Aj′)−(1−t)μ(gaAi∩Aj)∣<2ϵ for all g∈F;
3. (iii)
∑i,j<m∣μ(gaBi′∩Bj′)−tν(gbBi∩Bj)∣<ϵ for all g∈F.
Let A={Ai}i=0n−1⊆\mboxMALGμ. By hypothesis we have tb≺a, so we may find sets B0′,…,Bm−1′⊆X and B′=⋃j<mBj′, satisfying (1), (2), and (3) of Lemma 4.2. Let Ai′=Ai∖B′. Then (i) and (iii) are clearly satisfied and it remains to show (ii). Given g∈F and i,j<m we have gaAi′∩Aj′=(gaAi∩Aj)∩(ga(X∖B′)∩(X∖B′)). So
[TABLE]
where the first term is at most ϵ by property (3) from Lemma 4.2, and the second term is at most ϵ by property (1) from that lemma. Therefore,
[TABLE]
Since n is fixed we can replace ϵ with ϵ/n2 to satisfy (ii).
∎
Assume that sb⊕(1−s)c≺a for some 0<s≤1. This immediately implies sb≺a. Let rn=∑k=0ns(1−s)k. We show by induction on n≥0 that rnb≺a. We have r0b=sb≺a by hypothesis. Assume for induction that rnb≺a. Then
[TABLE]
where the last weak containment follows from Lemma 4.3. Since rnb≺a for all n and limnrn=s∑k=0∞(1−s)k=1 it follows that b≺a.
Next we assume that b≺a. Let ν=∫z∈Zνzdη be the disintegration of ν corresponding to the ergodic decomposition of b, and for each z∈Z let bz=Γ↷b(Y,νz). We must show that bz≺a almost surely. Let C={z∈Z:bz≺a}. Suppose toward a contradiction that η(C)>0. Let \EuScriptB be a countable Boolean algebra which generates the Borel sigma algebra on Y. For each finite subset Q⊆\EuScriptB, consider the space [0,1]Q×Q of all functions δ:Q×Q→[0,1]. This space is separable so there exists a countable dense subset ΔQ⊆[0,1]Q×Q.
Let \EuScriptI denote the set of all quadruples (F,Q,δ,ϵ) where F⊆Γ is finite, Q⊆B is finite, δ:F×Q×Q→[0,1] is such that δ(g,⋅,⋅)∈ΔQ for all g∈F and ϵ∈(0,1)∩Q. Let \EuScriptI0⊆\EuScriptI denote the subset consisting of all (F,Q,δ,ϵ)∈\EuScriptI for which there does not exist any function f:Q→\mboxMALGμ satisfying
[TABLE]
for all g∈F. For each (F,Q,δ,ϵ)∈\EuScriptI0 define the set
[TABLE]
It follows from the definitions that C=⋃(F,Q,δ,ϵ)∈\EuScriptI0CF,Q,δ,ϵ. Since this is a countable union and η(C)>0 we must have η(CF0,Q0,δ0,ϵ0)=t>0 for some quadruple (F0,Q0,δ0,ϵ0)∈\EuScriptI0. Let C0=CF0,Q0,δ0,ϵ0 and define
[TABLE]
where ηC0 is the normalized restriction of η to C0 and νC0=∫zνzdηC0, and similarly for ηZ∖C0 and νZ∖C0. Then a≻b≅tb0⊕(1−t)b1. So by the first part of this proof we have a≻b0.
Since b0≺a there exists some f:Q0→\mboxMALGμ such that
[TABLE]
for all g∈F0 which contradicts that (F0,Q0,δ0,ϵ0)∈\EuScriptI0.
∎
5 Stable weak equivalence classes
The purpose of this section is to prove:
Theorem 5.1**.**
If a is ergodic then SW(a) is a subsimplex of ProbΓ(CantorΓ). In other words, it is a closed convex subset whose extreme points are extreme points of ProbΓ(CantorΓ). Moreover, a is strongly ergodic if and only if W(a) is the set of extreme points of SW(a), in which case SW(a) is a Bauer simplex. If a is ergodic but not strongly ergodic then SW(a)=W(a) is a Poulsen simplex.
Lemma 5.2**.**
For any pmp action a of Γ, SW(a) is the closed convex hull of W(a).
Proof.
We may assume a=Γ↷a(X,μa). We first show that SW(a) contains the closed convex hull of W(a). So let t1,…,tn>0 with ∑iti=1 and μ1,…,μn∈W(a). It suffices to show that ∑itiμi∈SW(a). By definition there exist factor maps φij:X→CantorΓ such that limj→∞φij∗μa=μi for all i. Define Φj:X×[0,1]→CantorΓ by Φj(x,t)=φij(x) if i is such that ∑k<itk<t≤∑k≤itk. It follows that Φj∗(μa×Leb)=∑itiφij∗μa. So limj→∞Φj∗(μa×Leb)=∑itiμi as required.
Next we show SW(a) is contained in the closed convex hull of W(a). So let Φ:X×[0,1]→CantorΓ be a factor map. Let ϕt be the restriction of Φ to X×{t}. Observe that ϕt is also a factor map and
[TABLE]
Because ϕt can be regarded as factor map of a, this shows that Φ∗(μa×Leb) is contained in the closed convex hull of W(a). Because Φ is arbitrary, SW(a) is contained in the closed convex hull of W(a).
∎
Lemma 5.3**.**
Let a be an ergodic but not strongly ergodic action pmp action of Γ. Then W(a)=SW(a).
Proof.
By Theorem 3.1 and Lemma 4.3, ta⊕(1−t)a≺a for any t∈(0,1). By induction, this implies ⊕itia≺a for any sequence t1,…,tn>0 with ∑iti=1. In other words, W(⊕itia)⊆W(a). However, W(⊕itia) contains ⊕itiW(a) where the latter is defined to be the collection of all measures of the form ∑itiμi with μi∈W(a). Thus W(a) is convex. Lemma 5.2 now implies W(a)=SW(a).
To prove the first statement, suppose ν∈SW(a)⊆ProbΓ(CantorΓ) is not ergodic. So we can write it as ν=tν1+(1−t)ν2 for some ν1,ν2∈ProbΓ(CantorΓ) such that ν1 and ν2 are mutually singular and t∈(0,1). However, Part 2 of Theorem 4.1 implies that ν1,ν2∈SW(a). Therefore, ν cannot be an extreme point of SW(a). This proves that all extreme points of SW(a) are extreme points of ProbΓ(CantorΓ).
If a is strongly ergodic then it follows immediately that every measure in W(a) is ergodic and therefore extreme in ProbΓ(CantorΓ). Since SW(a) is the closed convex hull of W(a) this handles this case.
Now suppose a is ergodic but not strongly ergodic. To see that the extreme points are dense, observe that every measure in Factor(a) is ergodic (hence extreme) and SW(a)=W(a) is the weak* closure of Factor(a) by Lemma 5.3.
∎
6 Compactness
For simplicity, in this section we let P=ProbΓ(CantorΓ). This is a compact metrizable space in the weak* topology. Let Closed(P) be the space of all closed subsets of P with the Vietoris topology with respect to which Closed(P) is a compact metrizable space. Let \EuScriptWΓ:={W(a)}a⊆Closed(P) and \EuScriptSWΓ:={SW(a)}a⊆Closed(P). In [TD15] it is proven that the topologies induced on \EuScriptWΓ and \EuScriptSWΓ from their inclusions into Closed(P) are equivalent to the topologies defined in [AE11] (another proof is in [Bur15, Theorem 3.1]). The next theorem is the main result of [AE11]:
Theorem 6.1**.**
Both \EuScriptWΓ and \EuScriptSWΓ are closed subsets of Closed(P). Therefore, \EuScriptWΓ and \EuScriptSWΓ are compact metrizable spaces.
For each ρ∈P let W(ρ):=W(a)⊆P where a=Γ↷(CantorΓ,ρ). Similarly, let SW(ρ):=SW(a). We will frequently make use of the following facts:
(1)
For every pmp action a=Γ↷a(X,μ) there is a measure η∈P such that Γ↷(CantorΓ,η) is isomorphic to a.
2. (2)
For any two pmp actions a0=Γ↷a0(X0,μ0) and a1=Γ↷a1(X1,μ1) of Γ, there are measures η0,η1∈P whose supports are disjoint such that Γ↷(CantorΓ,η0) is isomorphic to a0 and Γ↷(CantorΓ,η1) is isomorphic to a1
Clearly (1) follows from (2). To see (2), let C0 and C1 be nonempty disjoint clopen subsets of Cantor and for i=0,1, let φi:Xi→Ci be injections, and define Φi:Xi→CantorΓ by Φi(x)(g)=φi((g−1)aix). Then Φi is injective and equivariant, and the supports of ηi:=(Φi)∗μi are contained in CiΓ, so the measures η0, η1 work.
We introduce some notation which will be useful throughout the rest of the paper.
Notation 1*.*
To ease notation, we will not distinguish between a measure μ∈P and the corresponding action Γ↷(CantorΓ,μ). For example, we will say that a measure μ∈P is ergodic or essentially free if the corresponding action is. Similarly if ρ1,ρ2∈P we will write ρ1≺ρ2 to mean that the action corresponding to ρ1 is weakly contained in the action corresponding to ρ2.
6.1 Lower semi-continuity
As a corollary to Theorem 6.1, we will show that SW is lower semi-continuous as a map from P to \EuScriptSWΓ. In general, if C1,C2,…⊆P are closed subsets then we define liminfiCi to be the set of all μ∞∈P such that there exist μi∈Ci (for i∈N) such that limiμi=μ∞.
Corollary 6.2**.**
[SW is lower semi-continuous]
If {μi}i is a sequence in P and limiμi=μ∞ then
[TABLE]
Remark 1*.*
SW is not continuous in general. For example, consider the case when Γ=Z. It is possible to find a sequence of measures μi∈P such that Γ↷(CantorΓ,μi) is essentially free for all i but limiμi=δx is the Dirac measure on a fixed point x∈CantorΓ. By the Rokhlin Lemma, SW(μi)=P for all i and SW(μi)=SW(δx) since SW(δx) is the subspace of measures supported on fixed points.
Proof.
Since \EuScriptSWΓ is compact, after passing to a subsequence, we may assume that limiSW(μi)=SW(ν) for some ν∈P. Since μ∞=limiμi it follows that μ∞∈SW(ν). Thus μ∞≺sν and therefore SW(μ∞)⊆SW(ν).
∎
7 Convex integrals and couplings
Let Perg denote the extreme points of P=ProbΓ(CantorΓ). Let Prob(Perg) denote the space of Borel probability measures on Perg. Let \uppi:CantorΓ→Perg be an ergodic decomposition map. By definition this means that \uppi is a Γ-invariant Borel map satisfying
•
For each e∈Perg, e({x∈CantorΓ:\uppi(x)=e})=1.
•
For each μ∈P, μ=∫e∈Perged\uppi∗(μ).
Furthermore, \uppi is unique in the following sense: if \uppi′ is another such map then the set {x:\uppi(x)=\uppi′(x)} is μ-null for all μ∈P [GS00].
Let \uppi∗:P→Prob(Perg) be the associated affine map which takes a measure μ∈P to its ergodic decomposition \uppi∗(μ)∈Prob(Perg). In what follows we will abuse notation and write \uppi(μ) for \uppi∗(μ). If κ∈Prob(P) then we let \upbeta(κ)∈P denote the Barycenter of κ. By definition,
[TABLE]
So \upbeta(\uppi(μ))=μ, and if κ∈Prob(Perg) then \uppi(\upbeta(κ))=κ.
Definition 4**.**
Let (X,A,μ) and (Y,B,ν) be probability spaces. A coupling of μ with ν is a probability measure ρ on (X×Y,A⊗B) such that (\mboxprojX)∗ρ=μ and (\mboxprojY)∗ρ=ν.
Let (Z,C,η) be another probability space and let ρ be a coupling of μ with ν, and let σ be a coupling of ν with η. Then the composition of ρ and σ, denoted ρ∘σ, is the coupling of μ with η defined by ρ∘σ=∫Yρy×σydν, where ρ=∫Yρy×\updeltaydν and σ=∫Y\updeltay×σydν are the respective disintegrations of ρ and σ via the natural projection maps.
Lemma 7.1**.**
Let λ and ω be Borel probability measures on P and assume that there is a coupling ρ of λ with ω which concentrates on the set {(μ,ν):μ≺sν}. Assume in addition that there is a ω-conull set Pω⊆P such that the measures in Pω are mutually singular. Then \upbeta(λ)≺s\upbeta(ω).
We note that the hypothesis on ω is automatically satisfied if ω concentrates on Perg.
Proof.
Let ρ=∫Pωρν×\updeltaνdω(ν) be the disintegration of ρ over ω. Then for ω-a.e. ν, the measure ρν concentrates on SW(ν), hence \upbeta(ρν)∈SW(ν), since SW(ν) is a closed convex set. We have \upbeta(λ)=∫\upbeta(ρν)dω(ν). Fix an atomless Borel probability measure ν0 on Cantor. Also, let Γ act on CantorΓ×Cantor by
[TABLE]
Then \upbeta(ρν)≺ν×ν0 for ω-a.e. ν. Fix a Borel partition P={P1,…,Pk} of CantorΓ, ϵ>0 and a finite subset F⊆Γ. It suffices to show there exists a Borel partition {U1,…,Uk} of CantorΓ×Cantor such that
[TABLE]
for every g∈F and 1≤i,j≤k.
Let {Q(n)}n=1∞ be an enumeration of all clopen partitions of CantorΓ×Cantor of the form Q(n)={Q1(n),…,Qk(n)}. There are only countably many such partitions. For ω-a.e. ν, since \upbeta(ρν)≺sν×ν0, and because the clopen sets are dense in the measure algebra of ν×ν0, there exists some number n(ν)∈N such that
[TABLE]
for every g∈F and 1≤i,j≤k. We choose n(ν) to be the smallest natural number with this property. With this choice, the map ν↦n(ν) is measurable.
Let M denote the set of all m∈N such that
[TABLE]
Define
[TABLE]
This is a Γ-invariant Borel measure on CantorΓ×Cantor. Moreover, the measures {κm:m∈M} are mutually singular since the measures in the ω-conull set Pω are mutually singular. So there exists a Borel partition R={Rm}m∈M of CantorΓ×Cantor such that
[TABLE]
and Rm is Γ-invariant for all m∈M. Thus for ω-a.e. ν∈P we have
[TABLE]
for any Borel E⊆CantorΓ×Cantor. Let
[TABLE]
Then {U1,…,Uk} is a Borel partition of CantorΓ×Cantor and for any g∈F, 1≤i,j≤k,
[TABLE]
∎
8 Coupling Theorem
The main theorem of this section is:
Theorem 8.1**.**
[Coupling Theorem]
Let μ,ν∈P.
(i)
μ≺sν* if and only if there exists a coupling ρ of \uppi(μ) and \uppi(ν) which concentrates on the set {(e0,e1)∈Perg×Perg:e0≺se1}*
2. (ii)
μ∼sν* if and only if there exists a coupling ρ of \uppi(μ) and \uppi(ν) which concentrates on the set {(e0,e1)∈Perg×Perg:e0∼se1}*
Moreover, if μ∼sν and ρ is any coupling of \uppi(μ) and \uppi(ν) which concentrates on {(e0,e1)∈Perg×Perg:e0≺se1}, then ρ in fact concentrates on {(e0,e1)∈Perg×Perg:e0∼se1}.
Before proving this, we need to investigate properties of a natural basis for the topology of \EuScriptSWΓ.
Definition 5**.**
To each open subset U of P we associate the sets
[TABLE]
The following proposition gives some basic properties of the sets BU and CU which will be used several times below.
Proposition 8.2**.**
Let U and V be open subsets of P.
(i)
CU∩Perg=BU∩Perg.
(ii)
U⊆BU* and U∩Perg⊆CU.*
(iii)
If μ∈BU and μ≺sν then ν∈BU.
(iv)
If U⊆V then BU⊆BV and CU⊆CV.
(v)
BU* is open and CU is Borel.
*
Proof.
Statements (i) through (iv) all follow from the definitions. For (v), to see BU is open it suffices to show that P∖BU is closed. Assume ρn∈P∖BU and ρn→ρ∈P. Then SW(ρn)⊆P∖U for all n, so liminfnSW(ρn)⊆P∖U since P∖U is closed. By Lemma 6.2, SW(ρ)⊆liminfnSW(ρn)⊆P∖U, i.e., ρ∈P∖BU. The set CU is Borel since \uppi and BU are both Borel.
∎
Lemma 8.3**.**
Let V⊆P be open.
(1)
Let μ∈CV. Then for any e∈Perg∖BV there exists a neighborhood U of μ with e∈BU.
2. (2)
Let L⊆CV be compact, and let ν∈P. Then for any ϵ>0 there exists an open set U⊆P with L⊆U and \uppi(ν)(BU∖BV)<ϵ.
3. (3)
Let λ be a Borel probability measure on P, and let ν∈P. Then for any ϵ>0 there exists an open set U⊆P with λ(CV∖U)=0 and \uppi(ν)(BU∖BV)<ϵ.
Proof.
(1): Assume toward a contradiction that there is some e∈Perg∖BV such that for all open neighborhoods U of μ we have e∈BU, i.e., SW(e)∩U=∅. This means that μ∈SW(e), so that μ≺se and therefore
[TABLE]
by Theorem 4.1 (2). From (1) and the hypothesis μ∈CV we conclude that there is some e′∈Perg∩BV with e′≺se. Therefore, by Proposition 8.2, e∈BV, a contradiction.
(2): Fix ϵ>0. Let {On}n∈N be a countable basis of open subsets of P and let {Un}n∈N enumerate all finite unions of elements of {On}n∈N.
Claim 1**.**
Let e∈Perg∖BV. Then there exists some n∈N such that L⊆Un and e∈BUn.
Proof of Claim.
By part (1), for each μ∈L there is some n(μ)∈N such that μ∈On(μ) and e∈BOn(μ). Then L⊆⋃μ∈LOn(μ), and since L is compact there exists some finite Q⊆L such that L⊆⋃μ∈QOn(μ). Taking any n∈N with Un=⋃μ∈QOn(μ) works since e∈⋃μ∈QBOn(μ)=BUn. ∎[Claim]
For each e∈Perg∖BV let n(e)=min{n∈N:L⊆Un\mboxande∈BUn}. Let N be so large that
[TABLE]
and define U=⋂{Un:n<N\mboxandL⊆Un}. Then U is open and L⊆U. Furthermore, Perg∩BU∖BV⊆{e∈Perg∖BV:n(e)≥N} since if e∈BV is such that n(e)<N, then U⊆Un(e) and therefore e∈BU (since e∈BUn(e)). This shows that \uppi(ν)(BU∖BV)<ϵ.
(3): The measure λ is regular, so we may find a sequence L1,L2,…, of compact subsets of CV with λ(CV∖Ln)→0. For each n apply (2) to find an open Un with Ln⊆Un and \uppi(ν)(BUn∖BV)<ϵ/2n. Let U=⋃nUn. Then λ(CV∖U)=0, and BU=⋃nBUn, hence \uppi(ν)(BU∖BV)<ϵ.
∎
8.1 Ultrapowers of measure spaces
Let U denote a nonprincipal ultrafilter on N and (X,μ) be a standard Borel probability space. Define an equivalence relation ∼U on XN by {xi}∼U{yi} if and only if {n∈N:xn=yn}∈U. Let XU:=XN/∼U denote the set of all ∼U equivalence classes. If {Bn} is a sequence of subsets of X then we let [Bn]⊆XU denote the set of all equivalence classes of the form [xn] with {n∈N:xn∈Bn}∈U. For each Borel B⊆X we also let [B]⊆XU denote the set [B]:={[xn]:{n:xn∈B}∈U} corresponding to the constant sequence.
If Bn⊆X is a sequence of Borel sets then we define μU([Bn]):=limn→Uμ(Bn). This function extends in a unique way to a probability measure, still denoted μU, on the sigma-algebra B(XU) generated by all sets of the form [Bn] where each Bn⊆X is Borel. We let σ(μU) denote the completion of B(XU) with respect to μU. Thus (XU,μU) (equipped with the sigma algebra σ(μU)) is a probability space called the ultrapower of (X,μ). In general, it is not standard because the corresponding measure algebra need not be separable. See [CKTD13] for more details on (XU,μU).
There is a natural measure algebra embedding I:MALGμ↪MALGμU given by Bμ↦[B]μU. The map I preserves the algebra structure and it is continuous, hence it also preserves the σ-algebra structure. If we assume that X is a compact Polish space, then the following proposition shows that the limit map [xn]↦limn→Uxn, gives a natural point realization of the embedding I.
Proposition 8.4**.**
(1)
Let K be a compact Polish space. Let φn:X→K, n∈N, be a sequence of Borel functions from X to K. Then the function φ:XU→K given by φ([xn])=limn→Uφn(xn) is measurable.
(2)
Assume that X is a compact Polish space. Then the map limU:XU→X, defined by limU([xn])=limn→Uxn, is measurable, and for each Borel B⊆X we have μU(limU−1(B)△[B])=0. In particular, limU:(XU,μU)→(X,μ) is measure preserving.
Proof.
For (1), let d be a compatible metric on K and fix an open set V⊆K. Since V is open we have V=⋃mVm where Vm={k∈V:d(k,K∖V)>1/m}. We then have the equality φ−1(V)=[φn−1(V1)]∪[φn−1(V2)]∪⋯, which shows φ is measurable. Statement (2) corresponds to the case X=K, φn=idX for all n, and φ=limU. In this case, using the notation from above, the sequence [V1],[V2],… increases to limU−1(V), and thus I(Vmμ)→limU−1(V)μU in MALGμU. But also I(Vmμ)→I(Vμ) by continuity of I, hence I(Vμ)=limU−1(V)μU. Thus, the collection B, of all Borel subsets B⊆X satisfying limU−1(B)μU=I(Bμ), contains all open subsets of X, and it is also a σ-algebra since the maps B↦limU−1(B)μU and B↦I(Bμ) both preserve σ-algebra operations. This shows B contains every Borel set, and completes the proof of (2).
∎
(i): Assume first that there exists a coupling ρ of \uppi(μ) and \uppi(ν) as in (i). Then the disintegration of ρ with respect to the right projection map (e0,e1)↦e1 is of the form ρ=∫ρe×\updeltaed\uppi(ν)(e). For \uppi(ν)-almost every e∈Perg the measure ρe concentrates on {e′:e′≺se}. Since SW(e) is convex (by Theorem 5.1), \upbeta(ρe)≺se. By Lemma 7.1, μ=\upbeta(\uppi(μ))=∫\upbeta(ρe)d\uppi(ν)(e)≺s∫ed\uppi(ν)(e)=ν.
Now assume that μ≺sν. Let ν′∈P be such that Γ↷(CantorΓ,ν′) is isomorphic to the product of Γ↷(CantorΓ,ν) with the identity action of Γ on ([0,1],Leb). Then there is a coupling σ of \uppi(ν′) and \uppi(ν) which concentrates on pairs of isomorphic ergodic components. If we can find a coupling ρ′ of \uppi(μ) and \uppi(ν′) which concentrates on pairs (e0,e1) with e0≺e1, then the composition ρ=ρ′∘σ will be the desired coupling of \uppi(μ) with \uppi(ν). Therefore, after replacing ν by ν′ if necessary, we may assume without loss of generality that SW(ν)=W(ν) so that in fact μ≺ν.
Fix a non-principal ultrafilter U on N. Let (CantorUΓ,νU) denote the ultrapower of (CantorΓ,ν). As \uppi(ν) is a measure on P which concentrates on Perg, the ultrapower \uppi(ν)U is a measure on the space PU which concentrates on the set [Perg] which we identify with PUerg. By Proposition 8.4, we have that \uppi(ν)=limU∗\uppi(ν)U. In particular, for \uppi(ν)U-almost every [en]∈PUerg, we have limn→Uen∈Perg. For each [en]∈PUerg we let ∏U[en] denote the measure on CantorUΓ determined by ∏U[en]([An])=limn→Uen(An) for An⊆CantorΓ Borel.
Since μ≺ν there exist Borel factor maps Φn:CantorΓ→CantorΓ with (Φn)∗ν→μ. Let Φ:(CantorΓ)U→CantorΓ be the ultralimit function given by Φ([xn])=limn→UΦn(xn). By [TD15, Proposition 3.11] we have Φ∗(νU)=limn→U(Φn)∗ν=μ and Φ∗∏U[en]=limn→U(Φn)∗en for every [en]∈PUerg. The map [en]↦Φ∗∏U[en]=limn→U(Φn)∗en, from PUerg to P, is therefore measurable by Proposition 8.4. By [TD15, Proposition A.1], the decomposition ν=∫ed\uppi(ν)(e) yields νU=∫∏U[en]d\uppi(ν)U([en]), and hence
[TABLE]
Let ρ be the measure on P×P defined by
[TABLE]
Then ρ concentrates on Perg×Perg, and (2) and Proposition 8.4 show that ρ is a coupling of \uppi(μ) and \uppi(ν).
Claim 2**.**
Let V⊆P be open. Then ρ(BV×(Perg∖BV))=0.
Proof of Claim.
Suppose not. Then the expression (3) implies that \uppi(ν)U(D0)>0, where
[TABLE]
Let λ denote the push-forward of \uppi(ν)U under the map [en]↦limn→U(Φn)∗en, so that λ is a Borel probability measure on P. By Lemma 8.3.(3) we may find an open set U⊆P such that λ(CV∖U)=0 and \uppi(ν)(BU∖BV)<\uppi(ν)U(D0). Thus, for \uppi(ν)U-almost every [en]∈D0 we have limn→U(Φn)∗en∈U and (by Proposition 8.4) [en]∈[BV]. Therefore, \uppi(ν)U(D0)≤\uppi(ν)U(D1), where
[TABLE]
Since \uppi(ν)(BU∖BV)<\uppi(ν)U(D0)≤\uppi(ν)U(D1), the set D1∖([BU]∖[BV]) is νU-non-null and hence nonempty. Fix any [en] in this set. Then [en]∈[BV] (since [en]∈D1), and [en]∈[BU]∖[BV], hence
[TABLE]
On the other hand, [en]∈D1 implies limn→U(Φn)∗en∈U. Since U is an open neighborhood about limn→U(Φn)∗en we have {n:(Φn)∗en∈U}∈U. For each n with (Φn)∗en∈U we have (Φn)∗en∈SW(en)∩U and so en∈BU. Therefore {n:en∈BU}∈U, i.e., [en]∈[BU], which contradicts (4). ∎[Claim 2]
Let {Vi}i∈N be a countable base of open subsets of P. Then
(ii): If ρ is a coupling of \uppi(μ) and \uppi(ν) as in (ii), then in particular ρ({(e0,e1):e0≺se1})=1, so μ≺sν by part (i). Similarly, ν≺sμ, and thus ν∼sμ. The other direction of (ii) will follow from (i) once we establish the final statement of the theorem.
Suppose μ∼sν and let ρ be a coupling of \uppi(μ) and \uppi(ν) concentrating on {(e0,e1):e0≺se1}. Suppose toward a contradiction that ρ({(e0,e1):e0≻se1})<1. Then there exists an open subset U of P such that
[TABLE]
where BU={λ∈P:SW(λ)∩U=∅}. The condition ρ({(e0,e1):e0≺se1})=1 implies that
On the other hand, since μ≻sν, part (i) implies that we can find coupling ρ of \uppi(μ) and \uppi(ν) such that ρ({(e0,e1):e0≻se1})=1 and therefore
[TABLE]
a contradiction.
∎
9 Convexity
The space CloCon(P), of all closed convex subsets of P, is naturally endowed with a convex structure: if F1,F2∈CloCon(P) and 0≤t≤1 then
[TABLE]
More generally, if (Ω,ω) is a probability space and F:Ω→CloCon(P) a measurable map then
[TABLE]
denotes the set of all measures in P of the form ∫σ(x)dω(x) where σ runs over all measurable
σ:Ω→P satisfying σ(x)∈F(x) for ω-a.e. x.
Theorem 9.1**.**
Let ω be a Borel probability measure on P and assume that there is an ω-conull set Pω⊆P such that the measures in Pω are mutually singular. Then
[TABLE]
It follows that \EuScriptSWΓ is convex.
Remark 2*.*
Theorem 9.1 implies that SW(ta⊕(1−t)b)=tSW(a)+(1−t)SW(b) for all p.m.p. actions a and b of Γ, and all t∈[0,1]. This is because we can find isomorphic copies μa,μb∈P of a and b respectively, whose supports are disjoint, and hence by Theorem 9.1
[TABLE]
Proof.
By Lemma 7.1, if f:P→P is a measurable map satisfying f(μ)≺sμ for ω-a.e. μ then
[TABLE]
This proves ∫SW(μ)dω(μ)⊆SW(∫μdω(μ)).
To prove the opposite containment, suppose that ν∈SW(∫μdω(μ)). Then by Theorem 8.1 there exists a coupling ρ of \uppi(ν) and \uppi(∫μdω)=\uppi(\upbeta(ω)) such that
[TABLE]
Let ρ=∫Pergρe×\updeltaed\uppi(\upbeta(ω)) be the disintegration of ρ over \uppi(\upbeta(ω)). Then \upbeta(ρe)≺se for \uppi(\upbeta(ω))-almost every e∈Perg, so after redefining ρe on a \uppi(\upbeta(ω))-null set if necessary we may assume without loss of generality that \upbeta(ρe)≺se for all e∈Perg. For each μ∈P let ρμ:=∫ρed\uppi(μ)(e). Then \upbeta(ρμ)≺s\upbeta(\uppi(μ))=μ by Lemma 7.1. Since \uppi(\upbeta(ω))=∫\uppi(μ)dω we have
[TABLE]
Therefore, μ↦\upbeta(ρμ) witnesses that ν∈∫SW(μ)dω(μ). This proves that ∫SW(μ)dω(μ)⊇SW(∫μdω(μ)).
To see that \EuScriptSWΓ is convex, given SW(μ),SW(ν)∈\EuScriptSWΓ and t∈[0,1], we can find isomorphic copies μ′ and ν′, of μ and ν respectively, whose supports are disjoint. Then tSW(μ)+(1−t)SW(ν)=tSW(μ′)+(1−t)SW(ν′)=SW(tμ′+(1−t)ν′)∈\EuScriptSWΓ.
∎
10 Simplex
In this section, we prove \EuScriptSWΓ is a simplex. Let \EuScriptSWΓext⊆\EuScriptSWΓ denote the subspace of extreme stable weak equivalence classes. More precisely, S∈\EuScriptSWΓext if and only if the equation S=tS1+(1−t)S2 with S1,S2∈\EuScriptSWΓ and t∈(0,1) implies S1=S2=S.
Theorem 10.1**.**
For each stable weak equivalence class S∈\EuScriptSWΓ there exists a unique Borel probability measure \uppi(S) on \EuScriptSWΓext such that S=∫E∈\EuScriptSWΓextEd\uppi(S). Furthermore, for any μ∈P we have \uppi(SW(μ))=SW∗\uppi(μ).
Lemma 10.2**.**
If S∈\EuScriptSWΓ is a subsimplex of P then it is extreme. In particular, if μ∈Perg then SW(μ)∈\EuScriptSWΓext. Conversely, if S∈\EuScriptSWΓext then there exist an ergodic μ∈Perg such that S=SW(μ).
Proof.
Let S∈\EuScriptSWΓ be a subsimplex of P and suppose S=tS1+(1−t)S2 for some S1,S2∈\EuScriptSWΓ and t∈(0,1). For every ergodic measure ν∈S we must be able to write ν=tν1+(1−t)ν2 for some νi∈Si (i=1,2). Since ν is ergodic, ν1=ν2=ν. So S∩Perg⊆S1∩S2. By hypothesis, S is the closed convex hull of S∩Perg. Since S1 and S2 are convex, S⊆S1∩S2. To obtain a contradiction, suppose ν1∈S1∖S. Let ν2∈S2. Then tν1+(1−t)ν2∈S. By the ergodic decomposition theorem, almost every ergodic component of ν1 must be contained in S and therefore, ν1∈S. This contradiction shows that S1∩S2⊆S. So S=S1=S2 as claimed.
Suppose μ∈Perg. By Theorem 5.1, SW(μ) is a subsimplex of P. So the previous paragraph implies SW(μ)∈\EuScriptSWΓext.
For the converse, suppose S∈\EuScriptSWΓext. Let μ∈P such that S=SW(μ). By Theorem 9.1,
[TABLE]
Since SW(μ) is extreme, we must have SW(e)=S for \uppi(μ)-a.e. e∈Perg.
∎
Lemma 10.2 shows that SW maps Perg onto \EuScriptSWΓext. So SW∗:Prob(P)→Prob(\EuScriptSWΓ) maps Prob(Perg) onto Prob(\EuScriptSWΓext). In addition, if μ∈P then SW∗\uppi(μ) is a Borel probability measure on \EuScriptSWΓext whose barycenter is SW(μ) since
[TABLE]
where the second equality holds by Theorem 9.1 and the other equalities hold by definition. This shows that every stable weak equivalence class is represented by a measure on \EuScriptSWΓext. We now show that this representation is unique.
Let κ0 and κ1 be Borel probability measures on \EuScriptSWΓext with ∫Edκ0(E)=S=∫Edκ1(E). We must show that κ0=κ1. By [Kec95, Theorem 18.1] and Lemma 10.2 there exists a universally measurable map s:\EuScriptSWΓext→Perg with SW(s(E))=E for all E∈\EuScriptSWΓext. For i∈{0,1} let μi=\upbeta(s∗κi)∈P. Then
[TABLE]
so μ0 and μ1 are stably weakly equivalent. By Theorem 8.1 there exists a coupling ρ of \uppi(μ0) and \uppi(μ1) with ρ({(e0,e1):e0∼se1})=1. We have \uppi(μi)=\uppi(\upbeta(s∗κi))=s∗κi, so ρ is a coupling of s∗κ0 and s∗κ1. Then (SW×SW)∗ρ is a coupling of κ0 and κ1 with
[TABLE]
It follows that for any Borel B⊆\EuScriptSWΓext we have κ0(B)=(SW×SW)∗ρ(B×\EuScriptSWΓext)=(SW×SW)∗ρ(B×B)=(SW×SW)∗ρ(\EuScriptSWΓext×B)=κ1(B) and so κ0=κ1.
The second statement follows from the first and the fact that SW(μ)=∫EdSW∗\uppi(μ)(E).∎
In [Bur15, Theorem 1.5], P. Burton shows that \EuScriptSWΓ is affinely homeomorphic to a convex compact subset of a Banach space. The proof uses an abstract characterization of convex compact subsets of Banach spaces due to Capraro and Fritz [CF13]. It now follows from Theorem 10.1 that \EuScriptSWΓ is a Choquet simplex (equivalently, it is a convex compact subset of a locally convex topological vector space with the property that every element admits a unique representation as the barycenter of a probability measure on the space of extreme points).
11 Property (T) groups
Theorem 11.1**.**
Suppose Γ is a countable group with property (T). Then \EuScriptSWΓ is a Bauer simplex; the set \EuScriptSWΓext⊆\EuScriptSWΓ of extreme points is closed.
Proof.
Let {Sn}⊆\EuScriptSWΓext be a sequence of extreme stable weak equivalence classes. Suppose limnSn=S∞∈\EuScriptSWΓ. It suffices to show S∞ is extreme.
Because each Sn is extreme, Sn is a subsimplex of P (Theorem 5.1 and Lemma 10.2). Therefore, it is the convex hull of Sn∩Perg. Because Γ has property (T), Perg is closed in P [GW97]. After passing to a subsequence we may assume that Sn∩Perg converges to some subset K⊆Perg as n→∞. But this implies Sn converges to the convex hull of K; and therefore S∞ is the convex hull of K. So S∞ is a subsimplex of P which implies that it is extreme by Lemma 10.2.
∎
12 Groups with many extreme stable weak equivalence classes
In [BG13], Brown and Guentner associate a C∗-algebra CD∗(Γ) to each algebraic ideal D in ℓ∞(Γ). We will be concerned with the case D=ℓp(Γ) for 2≤p<∞, and we write Cℓp∗(Γ) for Cℓp(Γ)∗(Γ), which is defined as follows.
Let π be a unitary representation of Γ on a Hilbert space Hπ, and let 2≤p<∞. The representation π is said to be an ℓp(Γ)-representation if there exists a dense linear subspace H0 of Hπ such that for all ξ,η∈H0 the matrix coefficient πξ,η:γ↦⟨π(γ)ξ,η⟩, belongs to ℓp(Γ). The C∗-algebra Cℓp∗(Γ) is defined as the completion of the group ring C[Γ] with respect to the C∗-norm
[TABLE]
where ∥π(x)∥ denotes the operator norm of π(x).
Since Γ is countable, and since the direct sum of ℓp(Γ)-representations is an ℓp(Γ)-representation, we can in fact find an ℓp(Γ)-representation, denoted σΓp, on a separable Hilbert space HσΓp, such that ∥x∥Cℓp∗=∥σΓp(x)∥ for all x∈C[Γ]. Hence, Cℓp∗(Γ) is isomorphic to the C∗-subalgebra of B(HσΓp) generated by σΓp(Γ). By [Dix77, Chapter 18] σΓp is uniquely defined up to weak equivalence of unitary representations, and, up to weak equivalence σΓp is the unique ℓp(Γ)-representation which weakly contains all other ℓp(Γ)-representations. If p≤q then ∥x∥Cℓp∗≤∥x∥Cℓq∗ for all x∈C[Γ], and the canonical quotient map from Cℓq∗(Γ) onto Cℓp∗(Γ) is an isomorphism if and only if σΓp and σΓq are weakly equivalent [Dix77]. The main result of this section is a direct consequence of the following striking result of Okayasu.
Let F2 denote the free group on two generators and let 2≤p<q<∞. Then the canonical quotient map Cℓq∗(Γ)→Cℓp∗(Γ) is not injective, and hence the unitary representations σF2p and σF2q are weakly inequivalent.
As observed in [Wie16], since restrictions (and, respectively, inductions) of ℓp-representations to (respectively: from) subgroups are themselves ℓp-representations, it follows immediately from Theorem 12.1 that if Γ is any group containing a subgroup isomorphic to F2, then the unitary representations σΓp, 2≤p<∞, are pairwise weakly inequivalent.
For each unitary representation π of Γ on a separable Hilbert space we consider the corresponding Gaussian action, denoted a(π), which is a p.m.p. action of Γ on a standard probability space (see [Kec10, Appendix E] and [KL16, Appendix E]). We let κa(π) denote the Koopman representation corresponding to a(π), and we let κ0a(π) denote the restriction of κa(π) to the orthogonal complement of the constant functions. We note the following lemma:
Lemma 12.2**.**
The representations κ0a(σΓp) and σΓp are weakly equivalent.
Proof.
Put σ=σΓp. By [KL16, Theorem E.19], κ0a(σ) contains σ and is isomorphic to a subrepresentation of ⨁n≥1(σ⊕σ)⊗n, where σ denotes the conjugate representation of σ. By [BG13], the representation ⨁n≥1(σ⊕σ)⊗n is an ℓp(Γ)-representation, so (since it contains σ) it is weakly equivalent to σ. Therefore, κ0a(σ) is weakly equivalent to σ as well.
∎
By [Dix77], every ℓ2(Γ)-representation is a subrepresentation of a multiple of the left regular representation of Γ. For concreteness, we will therefore take σΓ2 to be the left regular representation of Γ. Also, for each 2≤p<∞, since ℓ2(Γ)≤ℓp(Γ), we will assume (without loss of generality) that σΓ2 is a subrepresentation of σΓp. Then a(σΓ2) is a Bernoulli shift action of Γ, and for each 2≤p<∞ the action a(σΓp) factors onto a Bernoulli shift and hence is free.
Theorem 12.3**.**
Let Γ be a group containing a subgroup isomorphic to F2. Then the actions a(σΓp), 2≤p<∞, are pairwise stably weakly inequivalent, and each is free, mixing and strongly ergodic.
Proof.
We already observed that each of the actions a(σΓp) is free. Since Γ is non-amenable, the representation σΓp does not have almost invariant vectors [BG13]. Therefore, the representation κ0a(σΓp), being weakly equivalent to σΓp, does not have almost invariant vectors. This implies that a(σΓp) is strongly ergodic. Since ℓp(Γ)⊆c0(Γ), each of the representations σΓp is mixing, hence the action a(σΓp) is mixing.
If a(σΓp)∼sa(σΓq), then a(σΓp)∼a(σΓq) since both actions are ergodic, and hence κ0a(σΓp)∼κ0a(σΓq). Lemma 12.2 then implies that σΓp∼κ0a(σΓp)∼κ0a(σΓq)∼σΓq, and so we must have p=q by the remark following Theorem 12.1.
∎
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