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§2 (external, Connes–Feldman–Weiss) — a μ-amenable relation in Lodha and Moore's sense is amenable

Proved
LodhaMoore.isAmenableRel_of_isMuAmenable

by dbenbenn · Oct 2, 2026 · Mathlib 0df444a (Lean v4.33.1)

amenabilityfinitely-presentedgroup-theorypiecewise-projectivethompsons-group

Let XXX be a Polish space with its Borel σ\sigmaσ-algebra, μ\muμ a σ\sigmaσ-finite measure, and E⊆X×XE \subseteq X \times XE⊆X×X a Borel equivalence relation with countable classes such that the EEE-saturation of every μ\muμ-null set is μ\muμ-null. If EEE is μ\muμ-amenable in Lodha and Moore's sense (IsMuAmenable), then EEE is amenable in the sense of Connes, Feldman and Weiss: it has a left invariant mean (Monod.IsAmenableRel).

Formalization Note. The σ\sigmaσ-finiteness and quasi-invariance hypotheses are the setting of Connes, Feldman and Weiss; see the note on the converse, isMuAmenable_of_isAmenableRel.

Preamble
import Mathlib
import Definitions.Def_LodhaMoore
import Definitions.Def_Monod_PiecewiseProjective
Formal statement
namespace LodhaMoore

theorem isAmenableRel_of_isMuAmenable {X : Type*} [TopologicalSpace X] [PolishSpace X]
    [MeasurableSpace X] [BorelSpace X] (μ : MeasureTheory.Measure X) [MeasureTheory.SigmaFinite μ]
    (E : Set (X × X)) (hE : MeasurableSet E) (hequiv : Equivalence fun x y => (x, y) ∈ E)
    (hcount : ∀ x, {y | (x, y) ∈ E}.Countable)
    (hqi : ∀ A : Set X, μ A = 0 → μ {y | ∃ x ∈ A, (x, y) ∈ E} = 0) :
    IsMuAmenable μ E → Monod.IsAmenableRel μ E := by
  sorry

end LodhaMoore
Source
Connes, A., Feldman, J., Weiss, B., An amenable equivalence relation is generated by a single transformation, Ergodic Theory Dynam. Systems 1 (1981) 431–450, https://doi.org/10.1017/S014338570000136X, p. 4, §2
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What the Lean code literally says, in plain math · claude-opus-5-5

What the statement asserts

The setting

Let XXX be a set (of any size, possibly empty) equipped with

  • a topology making XXX a Polish space: the topology is second countable, and it is induced by some metric on XXX that is complete;
  • a σ-algebra equal to the Borel σ-algebra of that topology, that is, the σ-algebra generated by the open sets.

Throughout, "measurable" means: Borel for subsets of XXX; for subsets of X×XX \times XX×X, measurable for the product σ-algebra (generated by the rectangles B1×B2B_1 \times B_2B1​×B2​ with B1,B2B_1, B_2B1​,B2​ Borel), which for this XXX coincides with the Borel σ-algebra of X×XX \times XX×X; for real-valued functions, measurable into R\mathbb RR with its Borel σ-algebra. On a measurable subset Y⊆XY \subseteq XY⊆X, "measurable" refers to the trace σ-algebra {B∩Y:B Borel}\{B \cap Y : B \text{ Borel}\}{B∩Y:B Borel}, which consists of the Borel subsets of XXX contained in YYY.

Let μ\muμ be a σ-finite measure on XXX: XXX is a union of countably many sets each of finite μ\muμ-measure. Nothing else is assumed about μ\muμ: it may be infinite, it may have atoms, and it may be the zero measure.

Null sets and "almost everywhere". The measure μ\muμ is applied below to arbitrary subsets of XXX, measurable or not. For a subset SSS that is not measurable, μ(S)\mu(S)μ(S) means the outer measure

μ(S)=inf⁡{μ(B):B⊇S, B measurable},\mu(S) = \inf\{\mu(B) : B \supseteq S,\ B \text{ measurable}\},μ(S)=inf{μ(B):B⊇S, B measurable},

so μ(S)=0\mu(S) = 0μ(S)=0 exactly when SSS is contained in some measurable set of measure 000. "Q(x)Q(x)Q(x) holds for μ\muμ-almost every xxx" means μ({x∈X:Q(x) fails})=0\mu(\{x \in X : Q(x) \text{ fails}\}) = 0μ({x∈X:Q(x) fails})=0 in this sense, and "F=GF = GF=G μ\muμ-a.e." for functions F,G:X→RF, G : X \to \mathbb RF,G:X→R means μ({x:F(x)≠G(x)})=0\mu(\{x : F(x) \neq G(x)\}) = 0μ({x:F(x)=G(x)})=0.

Let E⊆X×XE \subseteq X \times XE⊆X×X be a set of pairs, and write x∼yx \sim yx∼y for (x,y)∈E(x,y) \in E(x,y)∈E. The following four hypotheses are assumed.

  • (H1) EEE is a measurable subset of X×XX \times XX×X.
  • (H2) ∼\sim∼ is an equivalence relation on the whole of XXX: x∼xx \sim xx∼x for every xxx; x∼yx \sim yx∼y implies y∼xy \sim xy∼x; x∼yx \sim yx∼y and y∼zy \sim zy∼z imply x∼zx \sim zx∼z.
  • (H3) For every x∈Xx \in Xx∈X, the set {y∈X:(x,y)∈E}\{y \in X : (x,y) \in E\}{y∈X:(x,y)∈E} is countable (finite or countably infinite).
  • (H4) For every subset A⊆XA \subseteq XA⊆X, measurable or not, with μ(A)=0\mu(A) = 0μ(A)=0,
μ({ y∈X:there is x∈A with (x,y)∈E })=0.\mu\bigl(\{\, y \in X : \text{there is } x \in A \text{ with } (x,y) \in E \,\}\bigr) = 0 .μ({y∈X:there is x∈A with (x,y)∈E})=0.

In words: the set of points related to at least one point of a μ\muμ-null set is itself μ\muμ-null.

None of (H1)–(H4) is vacuous: for instance the diagonal E={(x,x):x∈X}E = \{(x,x) : x \in X\}E={(x,x):x∈X} satisfies all four for every μ\muμ.

The claim. Under these hypotheses, if condition (A) below holds, then condition (B) below holds. This is a one-way implication; nothing is asserted in the converse direction, and nothing is asserted about whether (A) holds.

Condition (A)

There exist

  • a measurable set N⊆XN \subseteq XN⊆X with μ(N)=0\mu(N) = 0μ(N)=0, and
  • a bijection T:X∖N→X∖NT : X \setminus N \to X \setminus NT:X∖N→X∖N such that TTT and T−1T^{-1}T−1 are both measurable (for the trace σ-algebra on X∖NX \setminus NX∖N),

such that for all x,y∈X∖Nx, y \in X \setminus Nx,y∈X∖N,

(x,y)∈E  ⟺  y=Tn(x) for some integer n∈Z.(x,y) \in E \iff y = T^{n}(x) \text{ for some integer } n \in \mathbb Z .(x,y)∈E⟺y=Tn(x) for some integer n∈Z.

Here T0T^0T0 is the identity, TnT^nTn for n>0n > 0n>0 is the nnn-fold composite T∘⋯∘TT \circ \cdots \circ TT∘⋯∘T, and TnT^nTn for n<0n < 0n<0 is the ∣n∣|n|∣n∣-fold composite of T−1T^{-1}T−1.

Points to note about (A):

  • It constrains EEE only on pairs with both coordinates outside NNN. Whether (x,y)∈E(x,y) \in E(x,y)∈E when x∈Nx \in Nx∈N or y∈Ny \in Ny∈N is not addressed by (A).
  • NNN is not required to be a union of ∼\sim∼-classes: a point of NNN may be related to points outside NNN.
  • TTT is not required to preserve μ\muμ, or to send null sets to null sets.
  • TTT may have fixed points and finite orbits; TTT may be the identity, in which case (A) says that, off NNN, x∼yx \sim yx∼y only when x=yx = yx=y.
  • If μ\muμ is the zero measure (in particular, if XXX is empty), (A) holds by taking N=XN = XN=X, so that TTT is the empty map.

Condition (B)

Some vocabulary first, relative to μ\muμ and EEE.

Admissible functions. Call f:X×X→Rf : X \times X \to \mathbb Rf:X×X→R admissible if

  • fff is measurable, and
  • there is a real number CCC with ∣f(p)∣≤C|f(p)| \le C∣f(p)∣≤C for every p∈Ep \in Ep∈E.

The bound is required only on EEE; off EEE, fff may be unbounded.

EEE-negligible sets. Call a set S⊆X×XS \subseteq X \times XS⊆X×X EEE-negligible if

μ(π1(S∩E))=0,where π1(x,z)=x.\mu\bigl(\pi_1(S \cap E)\bigr) = 0, \qquad \text{where } \pi_1(x,z) = x .μ(π1​(S∩E))=0,where π1​(x,z)=x.

The projection π1(S∩E)\pi_1(S \cap E)π1​(S∩E) need not be measurable; μ\muμ of it is the outer measure described above.

Partial transformations of EEE. A partial transformation φ\varphiφ of EEE consists of

  • two measurable sets D,C⊆XD, C \subseteq XD,C⊆X (its domain and codomain), and
  • a bijection e:D→Ce : D \to Ce:D→C such that eee and e−1e^{-1}e−1 are both measurable (for the trace σ-algebras on DDD and CCC),

such that (a,e(a))∈E(a, e(a)) \in E(a,e(a))∈E for every a∈Da \in Da∈D. The empty case D=C=∅D = C = \varnothingD=C=∅ is included.

A partial transformation φ\varphiφ acts on functions f:X×X→Rf : X \times X \to \mathbb Rf:X×X→R by moving the first coordinate only:

(φ⋅f)(x,z)={f(e−1(x), z)if x∈C,0if x∉C,(\varphi \cdot f)(x, z) = \begin{cases} f\bigl(e^{-1}(x),\, z\bigr) & \text{if } x \in C,\\ 0 & \text{if } x \notin C,\end{cases}(φ⋅f)(x,z)={f(e−1(x),z)0​if x∈C,if x∈/C,​

and on functions F:X→RF : X \to \mathbb RF:X→R by

(φ⋅F)(y)={F(e−1(y))if y∈C,0if y∉C.(\varphi \cdot F)(y) = \begin{cases} F\bigl(e^{-1}(y)\bigr) & \text{if } y \in C,\\ 0 & \text{if } y \notin C.\end{cases}(φ⋅F)(y)={F(e−1(y))0​if y∈C,if y∈/C.​

Condition (B) asserts: there exists a map PPP that assigns to every function f:X×X→Rf : X \times X \to \mathbb Rf:X×X→R (admissible or not) a function Pf:X→RPf : X \to \mathbb RPf:X→R, such that all seven of the following hold.

  1. Measurability. For every admissible fff, the function PfPfPf agrees μ\muμ-a.e. with some measurable function X→RX \to \mathbb RX→R.
  2. Insensitivity to negligible changes. For all admissible f,gf, gf,g: if the set {p∈X×X:f(p)≠g(p)}\{p \in X \times X : f(p) \neq g(p)\}{p∈X×X:f(p)=g(p)} is EEE-negligible, that is, if
μ(π1({p∈E:f(p)≠g(p)}))=0,\mu\Bigl(\pi_1\bigl(\{p \in E : f(p) \neq g(p)\}\bigr)\Bigr) = 0,μ(π1​({p∈E:f(p)=g(p)}))=0,

then Pf=PgPf = PgPf=Pg μ\muμ-a.e. 3. Additivity. For all admissible f,gf, gf,g: P(f+g)=Pf+PgP(f + g) = Pf + PgP(f+g)=Pf+Pg μ\muμ-a.e. (sums taken pointwise). 4. Homogeneity. For every real number ccc and every admissible fff: P(cf)=c PfP(c f) = c\, PfP(cf)=cPf μ\muμ-a.e. (scalar multiples taken pointwise). 5. Positivity. For every admissible fff with f(p)≥0f(p) \ge 0f(p)≥0 for all p∈Ep \in Ep∈E: Pf(x)≥0Pf(x) \ge 0Pf(x)≥0 for μ\muμ-almost every xxx. 6. Normalization. P1=1P\mathbf 1 = \mathbf 1P1=1 μ\muμ-a.e., where on the left 1\mathbf 11 is the constant function 111 on X×XX \times XX×X and on the right it is the constant function 111 on XXX. 7. Invariance. For every partial transformation φ\varphiφ of EEE (with domain DDD, codomain CCC, bijection eee) and every admissible fff: P(φ⋅f)=φ⋅(Pf)P(\varphi \cdot f) = \varphi \cdot (Pf)P(φ⋅f)=φ⋅(Pf) μ\muμ-a.e. Spelled out: for μ\muμ-almost every y∈Xy \in Xy∈X,

P(φ⋅f)(y)={(Pf)(e−1(y))if y∈C,0if y∉C.P(\varphi \cdot f)(y) = \begin{cases} (Pf)\bigl(e^{-1}(y)\bigr) & \text{if } y \in C,\\ 0 & \text{if } y \notin C.\end{cases}P(φ⋅f)(y)={(Pf)(e−1(y))0​if y∈C,if y∈/C.​

Points to note about (B):

  • Each "μ\muμ-a.e." in items 1–7 is asserted separately for each choice of fff, ggg, ccc and φ\varphiφ. The exceptional null set may depend on those choices; no single null set is required to serve for all of them at once.
  • The conditions constrain PPP only through its values at admissible functions (the constant function 1\mathbf 11 of item 6 is one) and, in item 7, at the transformed functions φ⋅f\varphi \cdot fφ⋅f. Item 7 applies to P(φ⋅f)P(\varphi \cdot f)P(φ⋅f) whatever φ⋅f\varphi \cdot fφ⋅f is; it does not itself require φ⋅f\varphi \cdot fφ⋅f to be admissible. On other functions PPP is unconstrained.
  • Linearity, positivity and invariance are required only up to μ\muμ-null sets, never pointwise everywhere.
  • Positivity in item 5 needs f≥0f \ge 0f≥0 only on EEE, not on all of X×XX \times XX×X.
  • If μ\muμ is the zero measure, every requirement in items 1–7 is an "almost everywhere" requirement for a measure under which every set is null, and any map PPP meets it.
Human review
  • Endorsed by Shuze Chen · Oct 3, 2026

    Confirmed by the moderator at approval.

  • Endorsed by dbenbenn · Oct 3, 2026

    Confirmed by the mission captain (proposal self-audit).

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