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Principal groupoids with extra fibre information

Written by GPT-6.1 Sol (OpenAI), October 2026. Original text is public domain (CC0).

Introduction

A principal groupoid has a unique arrow between two related units. This set-theoretic uniqueness does not imply that every measurable function on a range fibre is measurable through its source coordinate. At merely countably generated scope, the fibre sigma-field can contain more information than the unit sigma-field, even modulo a finite measure.

We construct a one-orbit principal groupoid with standard Borel units, a separated countably generated arrow sigma-field, a faithful probability transverse function and a sigma-finite transverse measure. Its square-integrable two-dimensional representation has random-operator algebra and centre both equal to the diagonal algebra C⊕C\mathbb C\oplus\mathbb C. All invariant scalar functions are constant. Thus the unrestricted centre and factor criteria in Connes, Section 6, Corollaries 7–8, author PDF 43–44 fail. The same example disproves the unrestricted fibre-generation assertion in Connes, Proposition 15(b), author PDF 38–39.

The complete standard Borel fibre-density proof [Claude-RO, Proposition 5.1] uses the one-to-one Borel image theorem exactly where our example fails. Its standard Borel centre and factor consequences retain their stated scope. The ergodicity/extremal-ray equivalence proved in the preceding lesson also remains valid at the weak measurable scope: the present measure is ergodic and extremal.

Prerequisites are Borel spaces, Lebesgue measure and its inner regularity, kernels, bounded measurable Hilbert fields and elementary matrix algebras. We use the explicitly constructed subgroup from Countable generation and isotropy topologies, Theorem 1.2. Section 6 computes the full convolution algebra directly in two binary Fourier sectors. It also gives a proof using the normal-module theorem [Claude-RO, Theorem 7.1] at its countably generated, sigma-finite scope. The finite-dimensional calculations in Sections 4–5 use the explicit field alone. Choice enters only through the cited subgroup construction. No formula for membership in that subgroup is asserted.

1. A finite measure with an extra binary event

Let X=[0,1]X=[0,1], let BX\mathcal B_X be its ordinary Borel sigma-field and let ℓ\ell be Lebesgue probability measure on it. Take the subgroup K⊂RK\subset\mathbb R constructed in the preceding topology lesson: every nonempty perfect set meets both KK and the disjoint coset K+1K+1. Put A=K∩X,a=1A.(1.1) A=K\cap X,\qquad a=1_A. \tag{1.1} The function aa is a set-theoretic function, not an ordinary Borel function.

Lemma 1.1. Every Borel subset of AA, and every Borel subset of Ac=X∖AA^c=X\setminus A, has Lebesgue measure zero. Both sets are nonempty and neither is Borel.

Proof. A positive-measure Borel subset of XX contains a positive-measure compact set, by inner regularity, and that compact set contains a nonempty perfect set, by the proved Lemma 1.1 of the topology lesson. A perfect subset of AA would miss K+1K+1, and a perfect subset of AcA^c would miss KK. Both are impossible. Every nondegenerate closed interval meets both sets, so both are nonempty. If AA were Borel, both it and its Borel complement would be null, contradicting ℓ(X)=1\ell(X)=1. □\square

Enlarge the sigma-field on the underlying set XX to S=σ(BX,A).(1.2) \mathcal S=\sigma(\mathcal B_X,A). \tag{1.2} Every D∈SD\in\mathcal S is of the form D=(B0∩A)∪(B1∩Ac),B0,B1∈BX.(1.3) D=(B_0\cap A)\cup(B_1\cap A^c), \qquad B_0,B_1\in\mathcal B_X. \tag{1.3} Indeed sets of this form constitute a sigma-field containing both generators.

Lemma 1.2. The formula ρ(D)=12ℓ(B0)+12ℓ(B1)(1.4) \rho(D)=\tfrac12\ell(B_0)+\tfrac12\ell(B_1) \tag{1.4} defines a probability measure on (X,S)(X,\mathcal S), extending ℓ\ell. For every Borel BB, ρ(B∩A)=ρ(B∩Ac)=12ℓ(B).(1.5) \rho(B\cap A)=\rho(B\cap A^c)=\tfrac12\ell(B). \tag{1.5}

Proof. If two choices in (1.3) give the same set, their B0B_0 symmetric difference is a Borel set disjoint from AA, and their B1B_1 symmetric difference is disjoint from AcA^c. Both differences are null by Lemma 1.1. This proves well-definedness.

For pairwise disjoint DnD_n, the corresponding B0,nB_{0,n} overlap only in Borel sets disjoint from AA, hence in null sets. Disjointize them in their enumeration order; their Lebesgue measures and their union's measure do not change. The same argument applies to the B1,nB_{1,n}. Countable additivity of ℓ\ell proves countable additivity in (1.4). Taking B0=B1=XB_0=B_1=X gives total mass one; taking B0=B1=BB_0=B_1=B gives the extension property. Formula (1.5) is immediate. □\square

Thus AA is an event of probability 1/21/2 independent of every ordinary Borel event. In particular ρ(A△B)=12for every B∈BX.(1.6) \rho(A\mathbin{\triangle}B)=\tfrac12 \quad\text{for every }B\in\mathcal B_X. \tag{1.6} The extra event is not removed by completion or by an almost-everywhere Borel representative. The identity map (X,S)→(X,BX)(X,\mathcal S)\to(X,\mathcal B_X) is measurable and bijective, but its inverse is not measurable. If (X,S)(X,\mathcal S) were standard Borel, the one-to-one Borel image theorem would make this inverse measurable. Hence it is not standard Borel.

2. One orbit and a countably generated arrow sigma-field

Take the pair groupoid on XX: an arrow (y,x)(y,x) goes from xx to yy, and (z,y)(y,x)=(z,x),(y,x)−1=(x,y).(2.1) \begin{aligned} (z,y)(y,x)&=(z,x),\\ (y,x)^{-1}&=(x,y). \end{aligned} \tag{2.1} There is exactly one arrow for each ordered pair. Every isotropy group is the one-element group, and the unit space is one orbit.

For the set-theoretic binary label put d(y,x)=a(y)⊕a(x),Eε={(y,x):d(y,x)=ε},(2.2) \begin{aligned} d(y,x)&=a(y)\mathbin{\oplus}a(x),\\ E_\varepsilon&=\{(y,x):d(y,x)=\varepsilon\}, \end{aligned} \tag{2.2} where ⊕\oplus is addition modulo two. Give the arrows the sigma-field BG=σ(B(X2),E1).(2.3) \mathcal B_G=\sigma(\mathcal B(X^2),E_1). \tag{2.3} This is separated and countably generated: the ordinary countable product basis separates points, and one additional set generates the enlargement. All arrow singletons are measurable.

Proposition 2.1. With (2.3), the pair groupoid is measurable; its unit trace sigma-field is exactly BX\mathcal B_X. For each yy, its range fibre GyG^y, identified set-theoretically with XX by source, has sigma-field S\mathcal S. The arrow space is not standard Borel.

Proof. Range and source are measurable because their inverse images of unit Borel sets are product Borel sets. On the diagonal of identities, d(x,x)=0d(x,x)=0. Thus adjoining E1E_1 adds no unit trace events, and the unit sigma-field remains BX\mathcal B_X.

Inversion preserves the binary label. On composable pairs, d(z,x)=d(z,y)⊕d(y,x).(2.4) d(z,x)=d(z,y)\mathbin{\oplus}d(y,x). \tag{2.4} Hence the inverse image of E1E_1 under composition is measurable in the inherited product sigma-field. The inverse images of the ordinary product Borel generators are measurable as well, proving measurability of composition. The composable-pair set itself is measurable because equality of two ordinary Borel unit coordinates is measurable.

In a fixed range fibre, ordinary arrow Borel sets give BX\mathcal B_X; the extra event gives either AA or AcA^c, according to the fixed value a(y)a(y). Thus its sigma-field is exactly S\mathcal S. If the arrows were standard Borel, the measurable fibre r−1({y})r^{-1}(\{y\}) would be standard Borel. Its injective measurable source map to the standard Borel XX would have measurable inverse, contradicting Section 1. □\square

The binary label is information carried by the arrow sigma-field. It adds no arrows to the underlying pair groupoid and no elements to its isotropy groups.

3. The transverse function and every transverse axiom

For y∈Xy\in X, define νy\nu^y on GyG^y by the probability measure ρ\rho under its source bijection. This uses the fibre sigma-field S\mathcal S, not just the ordinary unit Borel sets.

Proposition 3.1. The family ν\nu is a faithful proper transverse function. Its total mass is one at every unit, and, for ordinary Borel B,C⊂XB,C\subset X, νy((C×B)∩Eε)=1C(y)12ℓ(B),ε=0,1.(3.1) \begin{aligned} \nu^y\big((C\times B)\cap E_\varepsilon\big) &=1_C(y)\tfrac12\ell(B),\\ &\hspace{1em}\varepsilon=0,1. \end{aligned} \tag{3.1}

Proof. Formula (3.1) follows from (1.5), since fixing yy makes each binary-label event either AA or AcA^c in the source coordinate. The sets in (3.1), together with the empty set, form a generating pi-system. The sets whose fibre integrals are measurable in yy form a Dynkin class: the measures have total mass one, so complements and disjoint countable unions preserve that property. The pi-lambda theorem proves the kernel measurability on every arrow event.

Left translation by (z,y)(z,y) maps (y,x)(y,x) to (z,x)(z,x) and preserves its source coordinate xx. It therefore carries the measure ρ\rho to that same measure, proving exact transverse invariance. All fibres have mass one, so the whole arrow space is a properness cover with uniform bound one, including the translated-cover definition. Their nonzeroness proves faithfulness. □\square

We construct the transverse measure directly. If κ\kappa is any proper transverse function, its fibre total mass is constant on the sole orbit. Define Λ(κ)=κy(Gy),y∈X.(3.2) \Lambda(\kappa)=\kappa^y(G^y),\qquad y\in X. \tag{3.2} The value does not depend on the chosen unit.

Proposition 3.2. Formula (3.2) is a nonzero, sequentially normal, semifinite and sigma-finite transverse measure of modulus 11. Its unit measure for ν\nu is Λν=ℓ\Lambda_\nu=\ell, and Λ(ν)=1\Lambda(\nu)=1.

Proof. Additivity and positive homogeneity are those of fibre measures. An increasing sequence of transverse functions has increasing fibre measures, so total-mass monotone convergence proves sequential normality.

For a probability kernel λ\lambda on the range fibres, convolution satisfies (κ∗λ)y(Gy)=∫Gyλs(γ)(Gs(γ)) dκy(γ)=κy(Gy).(3.3) \begin{aligned} (\kappa*\lambda)^y(G^y) &=\int_{G^y}\lambda^{s(\gamma)}(G^{s(\gamma)})\,d\kappa^y(\gamma)\\ &=\kappa^y(G^y). \end{aligned} \tag{3.3} Whenever the result is proper, this is exactly the transverse modulus-one axiom.

We check semifiniteness for every proper κ\kappa. Under source, transverse invariance identifies all its fibre measures with one measure η\eta on (X,S)(X,\mathcal S). For each unit Borel BB, kernel measurability applied to s−1(B)∩E0s^{-1}(B)\cap E_0 says that the two-valued function y⟼{η(B∩A),y∈A,η(B∩Ac),y∈Ac(3.4) y\longmapsto \begin{cases} \eta(B\cap A),&y\in A,\\ \eta(B\cap A^c),&y\in A^c \end{cases} \tag{3.4} is ordinary Borel. Since AA is not Borel, its two extended-real values must be equal. Consequently the unit Borel measure β=η∣BX\beta=\eta|_{\mathcal B_X} satisfies η(B∩A)=η(B∩Ac)=12β(B).(3.5) \eta(B\cap A)=\eta(B\cap A^c)=\tfrac12\beta(B). \tag{3.5} This equality includes infinite values without subtraction.

Properness supplies a countable finite-measure cover of one fibre. Write its source events as Dn=(B0,n∩A)∪(B1,n∩Ac)D_n=(B_{0,n}\cap A)\cup(B_{1,n}\cap A^c). Each branch has finite η\eta-measure; (3.5) gives finite β(B0,n)\beta(B_{0,n}) and β(B1,n)\beta(B_{1,n}). Their combined Borel sets cover XX: every point is covered on its own branch. Their finite successive unions CnC_n therefore give an increasing finite-β\beta cover. The transverse functions κn=(1Cn∘s)κ≤κ(3.6) \kappa_n=(1_{C_n}\circ s)\kappa\le\kappa \tag{3.6} are proper, have finite value Λ(κn)=β(Cn)\Lambda(\kappa_n)=\beta(C_n), and these values increase to β(X)=Λ(κ)\beta(X)=\Lambda(\kappa). This proves semifiniteness and also sigma-finiteness of every associated unit measure Λκ=β\Lambda_\kappa=\beta.

Finally, for nonnegative unit Borel ff, Λν(f)=Λ((f∘s)ν)=∫Xf dρ=∫Xf dℓ.(3.7) \begin{aligned} \Lambda_\nu(f)&=\Lambda((f\circ s)\nu)\\ &=\int_X f\,d\rho=\int_X f\,d\ell. \end{aligned} \tag{3.7} The faithful proper function ν\nu has finite transverse value one, and its constant increasing sequence proves sigma-finiteness in the transverse definition. □\square

There are only two saturated unit sets, empty and full. The full set is not negligible since Λ(ν)=1\Lambda(\nu)=1. Thus the measure is ergodic, and there is no nonempty saturated exceptional set on which random operators may be changed. By Ergodic transverse measures and extremal rays, Theorem 3.1, its ray is extremal.

4. A nonscalar centre with trivial isotropy

On the constant measurable field Hx=C2H_x=\mathbb C^2, put V=(100−1),U(y,x)=Vd(y,x).(4.1) \begin{aligned} V&=\begin{pmatrix}1&0\\0&-1\end{pmatrix},\\ U(y,x)&=V^{d(y,x)}. \end{aligned} \tag{4.1} This is a measurable unitary representation: its matrix entries are arrow-measurable, and (2.4) gives the representation law. Every bounded unit Borel section ξ\xi satisfies ∫Gy∣⟨α,U(γ)ξs(γ)⟩∣2 dνy(γ)≤∥ξ∥∞2∥α∥2.(4.2) \begin{aligned} &\int_{G^y}|\langle\alpha,U(\gamma)\xi_{s(\gamma)}\rangle|^2\,d\nu^y(\gamma)\\ &\qquad\le\|\xi\|_\infty^2\|\alpha\|^2. \end{aligned} \tag{4.2} The two constant coordinate sections are total, so the representation is square integrable in the programme's precise definition.

Theorem 4.1. For this field and representation, End⁡Λ(H)=Z(End⁡Λ(H))={diag⁡(c1,c2):c1,c2∈C}.(4.3) \begin{aligned} \operatorname{End}_\Lambda(H)&=Z(\operatorname{End}_\Lambda(H))\\ &=\{\operatorname{diag}(c_1,c_2):c_1,c_2\in\mathbb C\}. \end{aligned} \tag{4.3} The invariant scalar fields form only C1\mathbb C1.

Proof. A measurable operator field has ordinary Borel matrix entries. Fix x0∈Acx_0\in A^c. Equivariance forces Ty=Va(y)Tx0Va(y).(4.4) T_y=V^{a(y)}T_{x_0}V^{a(y)}. \tag{4.4} The diagonal entries are constant. An off-diagonal entry would be a fixed complex number times (−1)a(y)(-1)^{a(y)}. If that number were nonzero, its two distinct level sets would make AA ordinary Borel, a contradiction. Both off-diagonal entries vanish. Conversely every constant diagonal matrix commutes with VV, is measurable and is equivariant. The only saturated negligible set is empty, so passing to random-operator classes changes no equality. The algebra in (4.3) is abelian, hence equals its centre. Since the underlying pair groupoid has one orbit, invariant scalar functions are constant. The central projection diag⁡(1,0)\operatorname{diag}(1,0) is not scalar. □\square

This refutes the reverse inclusion asserted in the general Corollary 7. The forward inclusion always holds: a bounded measurable orbit-constant scalar field is equivariant and commutes pointwise with every field. Our counterexample isolates the failed direction. It also refutes the implication from ergodicity to the factor condition in Corollary 8, with a finite faithful transverse function and sigma-finite transverse measure.

Extra fibre information and its diagonal operator algebra
Open diagram at full size

Figure 1. The arrows are the ordinary unique pair arrows. Their enlarged sigma-field records d(y,x)d(y,x). On each range fibre this event has probability 1/21/2 independently of every ordinary Borel source event, by (3.1). Averaging (4.1) preserves the two diagonal matrix units and kills both off-diagonal ones. The resulting nonscalar central projection proves Theorem 4.1. The diagram displays measured events and the exact operator calculation; it does not display extra set-theoretic arrows. Full-size diagram.

5. The complete averaged-coefficient calculation

For bounded measurable sections ξ,η\xi,\eta, write their coordinate functions as ξi,ηi\xi_i,\eta_i. The averaged coefficient operator is wξ(γ)=U(γ)ξs(γ),θν(ξ,η)y=∫Gywξ(γ)wη(γ)∗ dνy(γ).(5.1) \begin{aligned} w_\xi(\gamma)&=U(\gamma)\xi_{s(\gamma)},\\ \theta_\nu(\xi,\eta)_y &=\int_{G^y}w_\xi(\gamma)w_\eta(\gamma)^*\,d\nu^y(\gamma). \end{aligned} \tag{5.1} The exact written definition and coefficient identity are [Claude-RO, Definition 4.1 and Proposition 4.2(f)]. The integral is an ordinary finite-dimensional integral here, with a uniform bound from (4.2).

Proposition 5.1. Every such operator is the constant diagonal matrix θν(ξ,η)y=(∫Xξ1η1‾ dℓ00∫Xξ2η2‾ dℓ).(5.2) \theta_\nu(\xi,\eta)_y =\begin{pmatrix} \int_X\xi_1\overline{\eta_1}\,d\ell&0\\ 0&\int_X\xi_2\overline{\eta_2}\,d\ell \end{pmatrix}. \tag{5.2} Their linear span is exactly the algebra (4.3), at every unit. No choice of countable total section family can generate the full isotropy commutant B(C2)B(\mathbb C^2).

Proof. The diagonal entries of the rank-one integrand in (5.1) are ξi(x)ηi(x)‾\xi_i(x)\overline{\eta_i(x)}, whose ρ\rho-integrals equal their ordinary Lebesgue integrals. Each off-diagonal entry has the additional factor (−1)d(y,x)(-1)^{d(y,x)}. Formula (3.1), extended from Borel indicators to bounded Borel functions by simple approximation, gives, for every bounded unit Borel function hh, ∫Gy(−1)d(y,x)h(x) dνy(y,x)=0.(5.3) \int_{G^y}(-1)^{d(y,x)}h(x)\,d\nu^y(y,x)=0 . \tag{5.3} This proves (5.2). Taking ξ=η=ei\xi=\eta=e_i gives each diagonal matrix unit; hence their span is all of (4.3). Every permissible section in D(U,ν)D(U,\nu) is bounded and measurable by definition, so the calculation covers every possible family DD. Since the isotropy group is trivial, its commutant is all of B(C2)B(\mathbb C^2), strictly larger than (4.3). □\square

The averaged ideal is nevertheless weakly dense in the actual random-operator algebra. Thus the example is consistent with [Claude-RO, Corollary 7.3]. Density in that algebra and density in the full fibre algebra are distinct assertions.

The source map on GyG^y is injective, but the source pullback of the ordinary Borel sigma-field misses the event corresponding to AA. Formula (1.6) proves that this failure persists modulo νy\nu^y. This is the exact obstruction to the general Proposition 15(b) proof's measurable section/product decomposition. It occurs already with one-element, hence locally compact, isotropy; the topology obstruction in the earlier lesson is a separate failure of Proposition 15(a).

6. Disjoint sectors and the full factor criterion

Let Hx+=Hx−=CH^+_x=H^-_x=\mathbb C, with representations U+(y,x)=1,U−(y,x)=(−1)d(y,x).(6.1) U^+(y,x)=1,\qquad U^-(y,x)=(-1)^{d(y,x)}. \tag{6.1} The constant section in either field has coefficient-square integral ∣α∣2|\alpha|^2, so both fields are nonzero and square integrable.

Proposition 6.1. There is no nonzero random intertwiner from H+H^+ to H−H^-.

Proof. A measurable intertwiner is a Borel scalar function tt satisfying t(y)=(−1)d(y,x)t(x).(6.2) t(y)=(-1)^{d(y,x)}t(x). \tag{6.2} At the fixed x0∈Acx_0\in A^c, this says t(y)=(−1)a(y)t(x0)t(y)=(-1)^{a(y)}t(x_0). A nonzero value would make AA Borel, so t=0t=0. No saturated negligible set can be discarded. □\square

For completeness, even the existence of some other faithful proper transverse function cannot restore Corollary 8's factor condition for WW. Every such function κ\kappa has a nonzero sigma-finite unit measure Λκ=β\Lambda_\kappa=\beta, by the proof of Proposition 3.2. Its two scalar integrated Hilbert spaces are both nonzero: a nonzero sigma-finite measure has a finite positive-measure set, whose indicator is a nonzero square-integrable section. The general normal-module theorem [Claude-RO, Theorem 7.1(a),(c)] supplies two nonzero normal representations of W(κ)W(\kappa) and identifies their intertwiners with (6.2).

Lemma 6.2. Any two nonzero normal unital representations of a von Neumann factor have a nonzero intertwiner.

Proof. Each representation is faithful: its kernel is a weakly closed central ideal, and a nonzero unital representation cannot kill the identity. Their direct sum therefore has a von Neumann factor as its range. Its commutant NN is a factor as well, since its centre is the intersection of this range and its commutant. The two nonzero summand projections p+,p−p_+,p_- belong to NN and sum to one. If p−Np+=0p_-Np_+=0, its adjoint corner is also zero. Both off-diagonal corners then vanish, making p+p_+ central in NN, a contradiction. An element of the nonzero corner is the desired intertwiner. □\square

Proposition 6.3 (the full algebra for every faithful proper kernel). Let κ\kappa be any faithful proper transverse function in this example, let β=Λκ\beta=\Lambda_\kappa be its nonzero sigma-finite Borel unit measure from Proposition 3.2, and put Kβ=L2(X,β)K_\beta=L^2(X,\beta). Then

W(κ)≅B(Kβ)⊕B(Kβ),Z(W(κ))≅C2.(6.3) \begin{gathered} W(\kappa)\cong B(K_\beta)\oplus B(K_\beta),\\ Z(W(\kappa))\cong\mathbb C^2. \end{gathered} \tag{6.3}

In particular, none of these algebras is a factor. This calculation uses the left convolution algebra defining WW, as in [Claude-RO, Section 6.2 and Definition 6.3].

Proof. Under the source bijections, all fibre measures of κ\kappa are the same measure η\eta on (X,S)(X,\mathcal S), and (3.5) gives

η(B∩A)=η(B∩Ac)=12β(B)(B Borel).(6.4) \eta(B\cap A)=\eta(B\cap A^c)=\tfrac12\beta(B) \quad(B\text{ Borel}). \tag{6.4}

Consider the measurable map

j:G⟶X×X×{0,1},j(y,x)=(y,x,d(y,x)).(6.5) \begin{gathered} j:G\longrightarrow X\times X\times\{0,1\},\\ j(y,x)=(y,x,d(y,x)). \end{gathered} \tag{6.5}

The arrow sigma-field is precisely the inverse-image sigma-field of the product Borel structure under jj. Thus every arrow-measurable complex function is F∘jF\circ j for a product Borel function FF: represent its simple approximations by inverse images, and define the limit on the Borel set where those approximations converge.

Put mκ=β∘κm_\kappa=\beta\circ\kappa, with range unit first. On Borel rectangles, (6.4) gives

mκ((C×B)∩Eε)=12β(C)β(B).(6.6) \begin{aligned} &m_\kappa\big((C\times B)\cap E_\varepsilon\big)\\ &\qquad=\tfrac12\beta(C)\beta(B). \end{aligned} \tag{6.6}

A countable finite-β\beta cover localizes the rectangle uniqueness argument, so j∗mκ=(β⊗β)⊗u2j_*m_\kappa=(\beta\otimes\beta)\otimes u_2, where u2u_2 gives each binary label mass 1/21/2. Pullback is an isometry of the corresponding L2L^2 spaces and is onto, since it contains the simple functions of the generating arrow events. This is a Hilbert-space identification; it does not assert a Borel isomorphism of the underlying point spaces.

For Fε(y,x)=F(y,x,ε)F_\varepsilon(y,x)=F(y,x,\varepsilon), use the normalized binary Fourier transform

F+=12(F0+F1),F−=12(F0−F1).(6.7) \begin{gathered} F_+=\tfrac12(F_0+F_1),\\ F_-=\tfrac12(F_0-F_1). \end{gathered} \tag{6.7}

The identity (∣F0∣2+∣F1∣2)/2=∣F+∣2+∣F−∣2(|F_0|^2+|F_1|^2)/2=|F_+|^2+|F_-|^2 makes it unitary. Together with the kernel identification, it gives

hκ≅(Kβ⊗Kβ‾)⊕(Kβ⊗Kβ‾).(6.8) \begin{aligned} \mathfrak h_\kappa\cong &(K_\beta\otimes\overline{K_\beta})\\ &\quad\oplus(K_\beta\otimes\overline{K_\beta}). \end{aligned} \tag{6.8}

The cocycle identity and (6.4) give the convolution formula

(F⋆G)(y,x,d)=12∑ε=01∫XF(y,z,ε)⋅G(z,x,ε⊕d) dβ(z).(6.9) \begin{aligned} &(F\star G)(y,x,d)\\ &\quad=\tfrac12\sum_{\varepsilon=0}^1 \int_X F(y,z,\varepsilon)\\ &\hspace{6em}\cdot G(z,x,\varepsilon\mathbin\oplus d)\,d\beta(z). \end{aligned} \tag{6.9}

For fixed endpoints and fixed label, each integrand branch is Borel in zz; the two branches are integrated with equal weights by (6.4). Formula (6.9) first holds on bounded kernels of finite measure support, and then wherever the defining Schur integrals converge. Its Fourier components are the usual kernel products:

(F⋆G)±(y,x)=∫XF±(y,z)G±(z,x) dβ(z),(F#)±(y,x)=F±(x,y)‾.(6.10) \begin{aligned} &(F\star G)_\pm(y,x)\\ &\quad=\int_X F_\pm(y,z)G_\pm(z,x)\,d\beta(z),\\ &(F^\#)_\pm(y,x)=\overline{F_\pm(x,y)}. \end{aligned} \tag{6.10}

For every admissible convolution kernel, the row and column integrals of ∣F±∣|F_\pm| are bounded by those of (∣F0∣+∣F1∣)/2(|F_0|+|F_1|)/2. These are exactly the corresponding κ\kappa-Schur bounds. Cauchy–Schwarz with the absolute kernel, followed by integration, gives bounded operators TF±T_{F_\pm} on KβK_\beta. Under (6.8), left convolution is therefore

λκ(F)=(TF+⊗1)⊕(TF−⊗1).(6.11) \begin{gathered} \lambda_\kappa(F)\\ \quad=(T_{F_+}\otimes1)\oplus(T_{F_-}\otimes1). \end{gathered} \tag{6.11}

This proves containment of W(κ)W(\kappa) in the displayed two-block algebra. To obtain equality, let h,gh,g be bounded Borel functions supported in sets of finite β\beta-measure. The kernels

F(+)(y,x,d)=h(y)g(x)‾,F(−)(y,x,d)=(−1)dh(y)g(x)‾(6.12) \begin{aligned} F^{(+)}(y,x,d)&=h(y)\overline{g(x)},\\ F^{(-)}(y,x,d)&=(-1)^d h(y)\overline{g(x)} \end{aligned} \tag{6.12}

are square integrable and have finite uniform Schur bounds; the modulus is one, so they belong to the defining left Hilbert algebra. Their Fourier pairs are respectively (hg‾,0)(h\overline g,0) and (0,hg‾)(0,h\overline g). Thus their left operators are the rank-one operator h⟨g,⋅⟩h\langle g,\cdot\rangle in either block, independently, tensored with the source-coordinate identity. Such h,gh,g are total in KβK_\beta by sigma-finiteness and simple-function approximation. Finite rank operators on their span are strongly dense in B(Kβ)B(K_\beta). Hence

W(κ)=(B(Kβ)⊗1)⊕(B(Kβ)⊗1)(6.13) \begin{gathered} W(\kappa)\\ \quad=(B(K_\beta)\otimes1)\oplus(B(K_\beta)\otimes1) \end{gathered} \tag{6.13}

in these coordinates. Since Kβ≠0K_\beta\ne0, the two sector identities are nonzero central projections, giving (6.3). □\square

The binary label has normalized Fourier components F plus and F minus. Equal half weights make convolution act independently in two kernel sectors, each generating the full bounded operator algebra on the unit L2 space.

Figure 2. Equations (6.6)–(6.10) keep the exact half weights: the Fourier transform is (F0±F1)/2(F_0\pm F_1)/2, with no additional square-root factor. Independent rank-one kernels in (6.12) give both full blocks and both nonzero central projections. The product-space coordinates identify measured function classes and Hilbert spaces, rather than the nonstandard arrow point space with a standard Borel product. Complete proof: Proposition 6.3; proper-kernel and sigma-finite input: Proposition 3.2. The challenged human-source assertion is Connes, Corollary 8, author PDF 43–44.

Thus W(κ)W(\kappa) cannot be a factor for any faithful proper κ\kappa. The five source conditions have the following exact truth values in this example:

Corollary 8 condition Value Evidence
Every nonzero random-operator algebra is a factor False Theorem 4.1 gives C⊕C\mathbb C\oplus\mathbb C.
Any two nonzero random Hilbert spaces have a nonzero intertwiner False Proposition 6.1.
Some faithful proper transverse function gives a factor WW False Proposition 6.3; also the normal-module argument using Theorem 7.1, Proposition 6.1 and Lemma 6.2.
Every saturated measurable set is null or conull True The sole orbit has only the empty and full saturated sets.
The transverse measure spans an extremal fixed-modulus ray True The preceding lesson's full Theorem 3.1.

The centre and factor assertions therefore need an additional measurable regularity hypothesis. At standard Borel arrow scope with sigma-finite transverse measure, the full written Proposition 5.1 and Corollaries 8.1–8.2 in [Claude-RO] provide the positive replacement. The present result does not assert a general positive disintegration theorem for nontrivial isotropy. General disintegration for nontrivial isotropy is not established here. The unrestricted type I equivalence in the adjacent source Corollary 9 has the different, fully proved semifinite counterexample in the preceding lesson, Proposition 5.1; its standard Borel sigma-finite replacement is [Claude-RO, Corollary 8.3].

7. Exercises with solutions

Level 1 asks for a direct calculation. Level 2 asks for a proof using the constructions. Level 3 compares hypotheses or combines results.

Exercise 7.1. Level 1. Compute ρ(A∩B)\rho(A\cap B), ρ(Ac∩B)\rho(A^c\cap B) and ρ(A△B)\rho(A\triangle B) when BB is Borel and ℓ(B)=3/4\ell(B)=3/4.

Solution. The first two values are each 3/83/8. The symmetric difference is the disjoint union of A∖BA\setminus B and Ac∩BA^c\cap B, of respective measures (1−3/4)/2=1/8(1-3/4)/2=1/8 and 3/83/8. Its measure is 1/21/2. In particular even this large Borel event cannot approximate the extra event in measure.

Exercise 7.2. Level 2. Why does adding E1E_1 to the arrow sigma-field leave the unit sigma-field unchanged while enlarging every range fibre?

Solution. The unit embedding is x↦(x,x)x\mapsto(x,x), and its inverse image of E1E_1 is empty. The traces of the ordinary arrow Borel generators already give exactly the ordinary unit Borel sets, so the added generator contributes no new unit events. In a fixed range fibre yy, however, E1E_1 pulls back to AA if a(y)=0a(y)=0, and to AcA^c if a(y)=1a(y)=1. Either event generates the larger sigma-field together with the source Borel sets.

Exercise 7.3. Level 2. Verify the representation identity for three units and compute θν(e1,e2)\theta_\nu(e_1,e_2), θν(e1,e1)\theta_\nu(e_1,e_1), and θν(e2,e2)\theta_\nu(e_2,e_2).

Solution. The label identity is (a(z)⊕a(y))⊕(a(y)⊕a(x))=a(z)⊕a(x)(a(z)\oplus a(y))\oplus(a(y)\oplus a(x))=a(z)\oplus a(x); hence Vd(z,y)Vd(y,x)=Vd(z,x)V^{d(z,y)}V^{d(y,x)}=V^{d(z,x)}. The first averaged coefficient is zero, since its sole off-diagonal entry has mean 12−12=0\tfrac12-\tfrac12=0. The other two are the constant diagonal projections diag⁡(1,0)\operatorname{diag}(1,0) and diag⁡(0,1)\operatorname{diag}(0,1), respectively.

Exercise 7.4. Level 3. Why does the counterexample persist when the unit measure is completed, and why can it not be removed by deleting a saturated null set?

Solution. A Lebesgue-measurable set differs from a Borel set by a subset of a Borel null set. If AA were Lebesgue measurable, inner regularity would give a positive-measure Borel subset of it or of its complement; Lemma 1.1 excludes both, while their union has full measure. Thus (−1)a(-1)^a has no completed-unit-measurable representative satisfying (6.2). Independently, the pair groupoid has only the empty and full saturated sets and the full one has positive transverse value. Deleting an arbitrary nonsaturated unit null set is not a permitted change of a strictly equivariant random field. On fibres, (1.6) also shows that no ordinary Borel source event agrees with the extra event modulo ρ\rho.

Exercise 7.5. Level 2. In the semifiniteness proof, explain why a finite-η\eta cover by sets from S\mathcal S produces a finite-β\beta cover by ordinary Borel sets. Do not subtract infinite measures.

Solution. Write each finite-cover event as (B0,n∩A)∪(B1,n∩Ac)(B_{0,n}\cap A)\cup(B_{1,n}\cap A^c). Each branch has finite measure at most that of the event. Equality (3.5) then gives β(B0,n),β(B1,n)<∞\beta(B_{0,n}),\beta(B_{1,n})<\infty. If a point belongs to AA, its coverage puts it in some B0,nB_{0,n}; otherwise it lies in some B1,nB_{1,n}. Their combined union is therefore all of XX. Finite successive unions give the required increasing Borel cover, using only positivity and equal finite branch values.

Exercise 7.6. Level 3. Compare this example with the ordinary pair groupoid on [0,1][0,1] with its product Borel arrow structure. Which proof step changes?

Solution. For the ordinary pair groupoid, the source map on each range fibre is a Borel isomorphism onto the unit space. Every fibre-measurable event and function is recovered from that coordinate. Proposition 5.1 of the written random-operator lesson therefore gives the full fibre algebra at trivial isotropy. The cocycle (−1)d(y,x)(-1)^{d(y,x)} used here is not ordinary product Borel, so it is not a measurable representation in that setting. The enlarged arrow structure makes the cocycle measurable while leaving the unit coordinate unable to record AA; this is precisely the failed recovery step.

Exercise 7.7 (two independent operator sectors). Level 2. In Proposition 6.3 take bounded, finite-β\beta-support functions h,gh,g with ∥h∥2=∥g∥2=1\|h\|_2=\|g\|_2=1. For the two kernels in (6.12), compute their left multiplication operators, their norms and their products in either order. Explain how the two central sector identities arise in the strong closure.

Solution. Their operators are respectively (θh,g⊗1,0)(\theta_{h,g}\otimes1,0) and (0,θh,g⊗1)(0,\theta_{h,g}\otimes1), where θh,gk=h⟨g,k⟩\theta_{h,g}k=h\langle g,k\rangle. Each has norm ∥h∥2∥g∥2=1\|h\|_2\|g\|_2=1; their products in either order are zero because their blocks differ. A countable Borel base together with a finite-measure cover generates a countable algebra whose finite-measure indicators are total in KβK_\beta, by simple approximation and the monotone class theorem. Apply Gram–Schmidt to this countable family. Finite linear combinations still have bounded finite-measure support. The finite sums of the resulting orthonormal basis projections converge strongly to the identity on KβK_\beta. Used in the first or second block independently, these sums give (1,0)(1,0) and (0,1)(0,1), the two nonzero complementary central projections. Their appearance in the strong closure does not make a non-Borel point event an ordinary Borel unit event.

Exercise 7.8 (why the half weights are forced). Level 2. For 0≤p≤10\le p\le1, define a measure on S\mathcal S by

ηp((B0∩A)∪(B1∩Ac))=pℓ(B0)+(1−p)ℓ(B1). \begin{gathered} \eta_p\big((B_0\cap A)\cup(B_1\cap A^c)\big)\\ \quad=p\ell(B_0)+(1-p)\ell(B_1). \end{gathered}

Show that this is a probability extension of ℓ\ell. Use it as the same source-coordinate fibre measure at every unit. For which pp is this family a measurable transverse function?

Solution. The well-definedness and disjointization proof of Lemma 1.2 applies with the two nonnegative weights p,1−pp,1-p, including the endpoints. Total mass is one and ordinary Borel events have measure pℓ(B)+(1−p)ℓ(B)=ℓ(B)p\ell(B)+(1-p)\ell(B)=\ell(B). Source-preserving left translations carry this same measure between fibres. But the measurable arrow event E0E_0 has fibre mass

y⟼{p,y∈A,1−p,y∈Ac. y\longmapsto \begin{cases}p,&y\in A,\\1-p,&y\in A^c.\end{cases}

If p≠1/2p\ne1/2, its two different values would make AA Borel, so the family is not a measurable kernel. At p=1/2p=1/2, Proposition 3.1 proves measurability on every arrow event and all transverse requirements. Thus exactly the equal half weights work; invariance and finite fibre mass alone do not imply kernel measurability.

References