Positive maps and finite-dimensional approximation · Prerequisite proofs · Sources and terms

Regular group operator foundations

Original text: public domain (CC0 1.0).

This lesson constructs the bounded operators and group traces needed for the subgroup-orbit and affine MASA arguments. Compression to a subgroup supplies its expectation. Positive inverses recover kernel projections, while explicit matrix entries compute the regular commutants. The final sections prove normal group-trace uniqueness and the intrinsic finite or countably infinite matrix size used for MASA multiplicity.

H00–H04 begin with square-summable coordinates. Their C*-algebra calculus input is the complete F03–F08 proof chain in Infinite tensor products. G00–G05 then construct the group algebra and subgroup maps. T04a–T04c prove polar decomposition, trace bounds for projection joins and continuity of an order-normal functional along bounded trace-square-null sequences. T04 applies these proofs to preserve the group trace under an abstract isomorphism. The source comparisons at the end of G05 identify the freely readable group-operator arguments.

H00. Square-summable coordinates and bounded operators

Our scalar boundary is the complete real ordered field and its complex field. For any set II, let ℓ2(I)\ell^2(I) consist of the functions ξ\xi with ∑i∈I∣ξ(i)∣2<∞\sum_{i\in I}|\xi(i)|^2<\infty, where a sum of nonnegative terms is the supremum of its finite partial sums. Every such vector has at most countable support: for each positive integer mm, only finitely many coordinates can have modulus at least 1/m1/m, and the union of those finite sets contains every nonzero coordinate. The inner product is ⟨ξ,η⟩=∑iξ(i)‾η(i)\langle\xi,\eta\rangle=\sum_i\overline{\xi(i)}\eta(i), linear in the second variable. Finite-dimensional Cauchy–Schwarz follows by minimizing ∥ξ−zη∥2\|\xi-z\eta\|^2 over z∈Cz\in\mathbb C; if η=0\eta=0 its assertion is immediate. Taking finite partial sums proves absolute convergence of the displayed inner product and Cauchy–Schwarz for ℓ2(I)\ell^2(I).

This space is complete. If (ξj)(\xi_j) is norm Cauchy, each coordinate is Cauchy and has a limit ξ(i)\xi(i). A uniform bound on ∥ξj∥\|\xi_j\| bounds every finite sum of squares of these limits, so ξ∈ℓ2(I)\xi\in\ell^2(I). For a chosen ε>0\varepsilon>0, sufficiently late j,kj,k have ∥ξj−ξk∥<ε\|\xi_j-\xi_k\|<\varepsilon. Taking kk to infinity in each finite-coordinate sum and then taking the supremum gives ∥ξj−ξ∥≤ε\|\xi_j-\xi\|\le\varepsilon. Finite-coordinate truncations converge in norm; the coordinate vectors are therefore an orthonormal basis. A bijection between two coordinate sets induces a unitary by carrying one basis onto the other. The Hilbert tensor product of two such spaces is ℓ2(I×J)\ell^2(I\times J): finite elementary tensors have the product inner product, and their coordinate tensors span a dense subspace of that complete space.

A bounded linear functional ff on ℓ2(I)\ell^2(I) has the form f(η)=⟨ξ,η⟩f(\eta)=\langle\xi,\eta\rangle. Indeed set ξ(i)‾=f(δi)\overline{\xi(i)}=f(\delta_i). Testing finite linear combinations with coefficients ξ(i)\xi(i) gives ∑i∈F∣ξ(i)∣2≤∥f∥2\sum_{i\in F}|\xi(i)|^2\le\|f\|^2 for every finite FF, by dividing by the square root of that sum when it is nonzero. Thus ξ∈ℓ2(I)\xi\in\ell^2(I), and agreement on finite-coordinate vectors extends by continuity. This also gives ∥f∥=∥ξ∥\|f\|=\|\xi\|. Applied to η↦⟨ζ,Tη⟩\eta\mapsto\langle\zeta,T\eta\rangle, it constructs the adjoint T∗T^* of every bounded operator, with ∥T∗∥=∥T∥\|T^*\|=\|T\|. The operator norm is complete: a norm-Cauchy sequence of operators converges on each vector, and its uniform operator-norm bound makes the limit bounded and the convergence uniform on the unit ball. Furthermore

∥T∗T∥≤∥T∥2,∥Tξ∥2=⟨ξ,T∗Tξ⟩≤∥T∗T∥∥ξ∥2\|T^*T\|\le\|T\|^2, \qquad \|T\xi\|^2=\langle\xi,T^*T\xi\rangle\le\|T^*T\|\|\xi\|^2

give ∥T∗T∥=∥T∥2\|T^*T\|=\|T\|^2. Thus bounded operators form a unital C*-algebra. The continuous calculus proved in Infinite tensor products, F03–F08 applies to it and its norm-closed self-adjoint subalgebras.

H01. Orthogonal projections and strong limits in commutants

Every closed linear subspace VV of a Hilbert space has an orthogonal projection. For ξ\xi, let d=inf⁡v∈V∥ξ−v∥d=\inf_{v\in V}\|\xi-v\|, and take a sequence vjv_j approaching this infimum. The parallelogram identity gives

∥vj−vk∥2=2∥ξ−vj∥2+2∥ξ−vk∥2−4∥ξ−vj+vk2∥2⟶0.\|v_j-v_k\|^2 =2\|\xi-v_j\|^2+2\|\xi-v_k\|^2 -4\left\|\xi-\frac{v_j+v_k}{2}\right\|^2\longrightarrow0.

The limit v∈Vv\in V attains dd. Minimality of ∥ξ−v−tv′∥2\|\xi-v-tv'\|^2 for real and purely imaginary tt, for every v′∈Vv'\in V, gives ξ−v⊥V\xi-v\perp V. This decomposition is unique, because V∩V⊥={0}V\cap V^\perp=\{0\}. It gives a linear projection PVP_V, with ∥PV∥≤1\|P_V\|\le1, PV∗=PVP_V^*=P_V, and range VV. If every operator in a self-adjoint family preserves VV, it preserves V⊥V^\perp as well, so PVP_V commutes with that family.

For a family S\mathcal S of bounded operators, its commutant is S′={T:Ts=sT for all s∈S}\mathcal S'=\{T:Ts=sT\text{ for all }s\in\mathcal S\}. If S\mathcal S is self-adjoint, its commutant is a unital self-adjoint algebra. It is norm closed and strongly closed: if Tjξ→TξT_j\xi\to T\xi for every ξ\xi, then Tjsξ=sTjξT_js\xi=sT_j\xi passes to the limit. The relation S′′′=S′\mathcal S'''=\mathcal S' follows directly from the inclusions S⊂S′′\mathcal S\subset\mathcal S'' and the fact that S′\mathcal S' commutes with S′′\mathcal S''. In particular M=S′′M=\mathcal S'' satisfies M′′=MM''=M. An operator in MM invertible on the Hilbert space has its inverse in MM, since its inverse commutes with every operator commuting with it. These facts use the definition of a commutant, rather than a density theorem for operator polynomials.

H02. Kernel projections from positive inverses

An operator S=S∗S=S^* is positive if ⟨ξ,Sξ⟩≥0\langle\xi,S\xi\rangle\ge0 for all ξ\xi. For t>0t>0, the operator 1+tS1+tS is invertible and its inverse QtQ_t has norm at most 11. Indeed

∥(1+tS)ξ∥∥ξ∥≥⟨ξ,(1+tS)ξ⟩≥∥ξ∥2\|(1+tS)\xi\|\|\xi\| \ge\langle\xi,(1+tS)\xi\rangle\ge\|\xi\|^2

proves the lower bound ∥(1+tS)ξ∥≥∥ξ∥\|(1+tS)\xi\|\ge\|\xi\|. It has zero kernel and closed range: a Cauchy sequence of images has Cauchy preimages by this bound. The orthogonal complement of its range is the kernel of its adjoint, hence zero. The range is therefore both dense and closed, and is the whole space. The same bound proves the inverse norm assertion.

The operators QtQ_t fix ker⁡S\ker S. They commute with SS, and

QtS=1−Qtt,∥QtS∥≤2t.Q_tS=\frac{1-Q_t}{t},\qquad \|Q_tS\|\le\frac2t.

Thus they converge to zero on ran⁡S\operatorname{ran}S, and, by their uniform norm bound, on its closure. Since S=S∗S=S^*, (ran⁡S)⊥=ker⁡S(\operatorname{ran}S)^\perp=\ker S. H01 decomposes the space as ker⁡S⊕ran⁡S‾\ker S\oplus\overline{\operatorname{ran}S}; hence QtQ_t converges strongly to the kernel projection as t→∞t\to\infty. If S∈MS\in M, each Qt∈MQ_t\in M by H01, and the projection belongs to MM by strong closedness.

The positive quadratic form also obeys Cauchy–Schwarz, by expanding ⟨ξ+zη,S(ξ+zη)⟩≥0\langle\xi+z\eta,S(\xi+z\eta)\rangle\ge0 and minimizing over zz. If one diagonal value is zero, varying the magnitude and phase of zz first shows the corresponding mixed value is zero. Consequently ⟨ξ,Sξ⟩=0\langle\xi,S\xi\rangle=0 implies ⟨η,Sξ⟩=0\langle\eta,S\xi\rangle=0 for every η\eta, and then Sξ=0S\xi=0. This supplies a direct kernel argument without a square-root assumption.

The square-root formulation is also available. For a positive SS, a real λ<0\lambda<0 gives an invertible S−λS-\lambda by the same range argument. For nonreal λ\lambda, the imaginary part of ⟨ξ,(S−λ)ξ⟩\langle\xi,(S-\lambda)\xi\rangle gives the lower bound ∣Im⁡λ∣∥ξ∥|\operatorname{Im}\lambda|\|\xi\|, and its adjoint has the same bound, so the range argument again proves invertibility. The spectrum of SS is therefore nonnegative. The continuous calculus F06–F08 in Infinite tensor products supplies S1/2S^{1/2}, and ⟨ξ,Sξ⟩=∥S1/2ξ∥2\langle\xi,S\xi\rangle=\|S^{1/2}\xi\|^2. Conversely a self-adjoint operator with nonnegative spectrum has this self-adjoint square root, so its quadratic form is nonnegative. Thus spectral positivity and quadratic-form positivity agree. This justifies either version of the kernel calculation. Its support projection is 1−Pker⁡S1-P_{\ker S}, the projection onto ran⁡S‾\overline{\operatorname{ran}S}. If S∈pMpS\in pMp, this range lies in pHp\mathcal H, so the support is at most pp and belongs to pMppMp. A nonzero SS has nonzero support.

H03. A concrete separable predual

For a separable Hilbert space H\mathcal H, a countable dense sequence gives a countable orthonormal basis: successively subtract its projections on the finite span of earlier chosen vectors, and normalize each nonzero remainder. Every member of the dense sequence lies in the resulting closed span, so that span is the whole space. Finite orthogonal truncations consequently converge to every vector. The coordinate map is an isometry onto ℓ2(I)\ell^2(I), because finite-coordinate vectors are in its image and completeness makes that image closed. This also includes finite-dimensional and zero spaces and transfers the representation argument of H00. Form the algebraic tensor product H‾⊗H\overline{\mathcal H}\otimes\mathcal H, and give it the projective norm

∥u∥π=inf⁡{∑j∥ξj∥∥ηj∥:u=∑jξj‾⊗ηj}.\|u\|_\pi=\inf\left\{\sum_j\|\xi_j\|\|\eta_j\|: u=\sum_j\overline{\xi_j}\otimes\eta_j\right\}.

This is a norm. A nonzero algebraic tensor lies in the tensor product of two finite-dimensional spans; coordinate functionals in bases of those spans detect a nonzero coefficient and extend to bounded functionals using H00 and H01. Their product bounds its value by a constant times every displayed sum, so ∥u∥π>0\|u\|_\pi>0. The triangle inequality follows by concatenating representations. Let EE be the completion. Finite rational complex combinations of tensors of a countable orthonormal basis are dense, because finite-coordinate truncations approximate each factor in the projective norm. Thus EE is separable.

The dual of EE is isometrically B(H)B(\mathcal H). A bounded operator TT acts by ξ‾⊗η↦⟨ξ,Tη⟩\overline\xi\otimes\eta\mapsto\langle\xi,T\eta\rangle, with dual norm ∥T∥\|T\|. Conversely a bounded functional on EE gives a bounded form, conjugate linear in ξ\xi and linear in η\eta. H00 represents this form as ⟨ξ,Tη⟩\langle\xi,T\eta\rangle, and its bound makes TT bounded. Every u∈Eu\in E can be represented by a series ∑jξj‾⊗ηj\sum_j\overline{\xi_j}\otimes\eta_j with ∑j∥ξj∥∥ηj∥<∞\sum_j\|\xi_j\|\|\eta_j\|<\infty: approximate uu by algebraic tensors with geometrically decreasing errors, represent each successive difference within a geometrically decreasing error of its projective norm, and concatenate the finite representations. Conversely every such series converges in EE. The weak* topology from EE is precisely the ultraweak topology defined by the functionals

T⟼∑j⟨ξj,Tηj⟩,∑j∥ξj∥∥ηj∥<∞.T\longmapsto\sum_j\langle\xi_j,T\eta_j\rangle, \qquad \sum_j\|\xi_j\|\|\eta_j\|<\infty.

If M=S′′M=\mathcal S'', its commutation constraints with S′\mathcal S' are ultraweak continuous: ⟨ξ,(Ta−aT)η⟩\langle\xi,(Ta-aT)\eta\rangle is the difference of two one-term functionals. Let N⊂EN\subset E be the norm-closed span of the corresponding tensors, for all a∈S′a\in\mathcal S' and ξ,η∈H\xi,\eta\in\mathcal H. Then M=N⊥⊂E∗M=N^\perp\subset E^*, exactly by these constraints. The dual of E/NE/N is N⊥N^\perp: a bounded functional on the quotient pulls back to a functional killing NN, and such a functional descends with the same norm, by the quotient norm definition. The quotient is complete: from a quotient-Cauchy sequence choose a subsequence whose successive quotient distances are below 2−j2^{-j}, lift each difference to a vector of norm below 21−j2^{1-j}, and sum those lifts in EE. Its image is the limit of the subsequence, and Cauchyness gives the same limit for the full sequence. The image of a countable dense set in EE is dense in the quotient. Therefore E/NE/N is a separable predual for MM. In particular every countable group algebra in its regular representation has separable predual. This proof does not need a compact-operator spectral decomposition.

On a norm-bounded set, weak operator convergence implies ultraweak convergence. Given a series-vector functional, choose a finite initial segment whose remaining sum of products of vector norms is small. The finite segment converges by weak operator convergence; the remaining segment is bounded uniformly by the common operator-norm bound times that remaining sum. Applying this also to the limit operator proves convergence of the whole series. This argument works for nets, since the finite initial segment imposes only finitely many convergence conditions.

For an arbitrary coordinate Hilbert space ℓ2(I)\ell^2(I), the same projective-tensor, dual and commutation-constraint arguments construct a predual and give this series-vector definition of the ultraweak topology. The separability conclusion is asserted only when II is countable. H00 supplies the representation and completeness facts for those arbitrary coordinate spaces as well.

H04. Why an infinite-dimensional finite factor has no minimal projection

Let MM be a factor with a faithful normalized trace τ\tau. If it has a minimal nonzero projection pp, then pMp=CppMp=\mathbb Cp. To prove this, suppose a self-adjoint element a∈pMpa\in pMp were nonscalar. Its spectrum has at least two points: F04 of Infinite tensor products makes a self-adjoint element with singleton spectrum a scalar. Choose a real cc between two spectral points. The continuous positive and negative parts of a−cpa-cp, supplied by F06–F08, are nonzero and have zero product. H02 gives their nonzero support projections in pMppMp; their ranges are orthogonal because their product is zero. This contradicts minimality of pp. Thus every self-adjoint element of the corner is scalar, and its real and imaginary parts show the same for every element.

The closed span of the ranges of upu∗upu^*, over the unitaries u∈Mu\in M, has a projection z∈Mz\in M. Indeed every such range reduces M′M'; H01 gives its projection in M′′=MM''=M. Conjugation by any unitary of MM preserves this span, so zz commutes with those unitaries. They linearly span MM: for a self-adjoint contraction hh, the continuous calculus gives the unitary h+i(1−h2)1/2h+i(1-h^2)^{1/2}, whose real part is hh; scaling and taking real and imaginary parts treats any element. Thus zz is central. Since p≠0p\ne0, the factor property gives z=1z=1.

For any nonzero projection q∈Mq\in M, it follows that qMp≠0qMp\ne0. Otherwise qup=0qup=0 for every unitary uu, making qq vanish on the dense span just described. Choose x=qap≠0x=qap\ne0. Since x∗x∈pMpx^*x\in pMp, it equals αp\alpha p for α>0\alpha>0. Then v=α−1/2xv=\alpha^{-1/2}x satisfies v∗v=pv^*v=p, and vv∗≤qvv^*\le q is a projection equivalent to pp.

Starting with pp, repeat this in the complement of the sum of the projections already chosen. Each new projection has trace τ(p)>0\tau(p)>0. Since the sum has trace at most 11, after finitely many steps there can be no nonzero complement. We obtain p1+⋯+pm=1p_1+\cdots+p_m=1, with each pip_i equivalent to pp. Choose vi∗vi=pv_i^*v_i=p, vivi∗=piv_iv_i^*=p_i. The operators vivj∗v_iv_j^* are matrix units, and for x∈Mx\in M, every vi∗xvjv_i^*xv_j lies in pMp=CppMp=\mathbb Cp. Expanding x=∑i,jpixpjx=\sum_{i,j}p_ixp_j therefore proves M≅Mm(C)M\cong M_m(\mathbb C). An infinite-dimensional factor with a faithful normalized trace consequently has no minimal projections; it is a type II1\mathrm{II}_1 factor. An infinite discrete group's unitaries are linearly independent on δe\delta_e, so its ICC group factor is infinite dimensional and this conclusion applies.

This also gives the formulation in terms of abelian projections. The central-support argument above applies to every nonzero projection rr, not just a minimal one; hence qMr≠0qMr\ne0 for any nonzero projections q,rq,r in a factor. If a nonzero projection ee has commutative corner eMeeMe and 0<q<e0<q<e, put r=e−qr=e-q. Commutativity gives qMr=q(eMe)r=0qMr=q(eMe)r=0, a contradiction. Thus an abelian projection in a factor is minimal. The infinite-dimensional case has no nonzero abelian projections. Finally the trace makes the identity finite: if v∗v=1v^*v=1, then τ(vv∗)=1\tau(vv^*)=1, so faithfulness applied to 1−vv∗1-vv^* gives vv∗=1vv^*=1. This proves both the type-II and finite parts of the type II1\mathrm{II}_1 designation.

Regular representations and conventions

Let GG be a discrete group with identity ee. The space

ℓ2(G)={ξ:G⟶C:∑s∈G∣ξ(s)∣2<∞}\ell^2(G)=\left\{\xi:G\longrightarrow\mathbb C: \sum_{s\in G}|\xi(s)|^2<\infty\right\}

has inner product ⟨ξ,η⟩=∑sξ(s)‾η(s)\langle\xi,\eta\rangle=\sum_s\overline{\xi(s)}\eta(s), antilinear in its first variable. Its usual orthonormal basis is (δs)s∈G(\delta_s)_{s\in G}. All sums over GG below use finite partial sums and are independent of ordering. H00 shows that square-summable vectors have countable support; whenever a scalar product is rearranged, its absolute convergence is proved first. Thus the commutant and subgroup arguments also apply to arbitrary discrete groups.

H00 proves the bounded-operator, adjoint and Hilbert-space representation facts used below, including density of finitely supported vectors. A bounded operator TT is positive when ⟨ξ,Tξ⟩≥0\langle\xi,T\xi\rangle\geq0 for every ξ\xi. Order is the order defined by positive differences. We will prove both preservation of bounded increasing positive suprema and ultraweak continuity for the trace and subgroup expectation. The elementary existence of these suprema is proved below.

For a set SS of bounded operators write

S′={T:TA=AT for every A∈S},S′′=(S′)′.S'=\{T:TA=AT\text{ for every }A\in S\},\qquad S''=(S')'.

The left and right regular representations are

λ(g)δt=δgt,ρ(g)δt=δtg−1.(1)\lambda(g)\delta_t=\delta_{gt},\qquad \rho(g)\delta_t=\delta_{tg^{-1}}. \tag{1}

These operators permute an orthonormal basis, so they are unitary. Their products satisfy λ(g)λ(h)=λ(gh)\lambda(g)\lambda(h)=\lambda(gh), ρ(g)ρ(h)=ρ(gh)\rho(g)\rho(h)=\rho(gh), and λ(g)ρ(h)=ρ(h)λ(g)\lambda(g)\rho(h)=\rho(h)\lambda(g). We define the group von Neumann algebra by

L(G)=λ(G)′′.(2)L(G)=\lambda(G)''. \tag{2}

This definition lets us establish the particular commutant identities needed here directly. No operator approximation by finite Fourier sums is needed.

G00. Matrix products and the regular commutants

For T∈B(ℓ2(G))T\in B(\ell^2(G)), let Ts,t=⟨δs,Tδt⟩T_{s,t}=\langle\delta_s,T\delta_t\rangle. Its tt-th column lies in ℓ2(G)\ell^2(G), with norm ∥Tδt∥≤∥T∥\|T\delta_t\|\leq\|T\|. Its ss-th row lies in ℓ2(G)\ell^2(G), with norm ∥T∗δs∥≤∥T∥\|T^*\delta_s\|\leq\|T\|. Indeed, (T∗)t,s=Ts,t‾(T^*)_{t,s}=\overline{T_{s,t}}.

If A,BA,B are bounded, then

(AB)s,t=∑r∈GAs,rBr,t,∑r∣As,rBr,t∣≤∥A∗δs∥ ∥Bδt∥.(3)(AB)_{s,t}=\sum_{r\in G}A_{s,r}B_{r,t}, \qquad \sum_r|A_{s,r}B_{r,t}| \leq\|A^*\delta_s\|\,\|B\delta_t\|. \tag{3}

The inequality is Cauchy–Schwarz. To verify the equality, expand BδtB\delta_t in the orthonormal basis. Its finite partial sums converge in Hilbert space norm. Applying AA, then taking the ss-th coordinate, gives (3). Operators with the same matrix entries agree: they agree on each basis vector and hence, by boundedness and density, on every vector.

Lemma 1. A bounded operator xx commutes with ρ(G)\rho(G) if and only if there is a function a∈ℓ2(G)a\in\ell^2(G) such that

xs,t=a(st−1)(s,t∈G).(4)x_{s,t}=a(st^{-1})\quad(s,t\in G). \tag{4}

A bounded operator yy commutes with λ(G)\lambda(G) if and only if there is a function b∈ℓ2(G)b\in\ell^2(G) such that

ys,t=b(t−1s)(s,t∈G).(5)y_{s,t}=b(t^{-1}s)\quad(s,t\in G). \tag{5}

Proof. If xρ(g)=ρ(g)xx\rho(g)=\rho(g)x, put a=xδea=x\delta_e. Since δt=ρ(t−1)δe\delta_t=\rho(t^{-1})\delta_e,

xδt=ρ(t−1)a,x\delta_t=\rho(t^{-1})a,

whose ss-th coordinate is a(st−1)a(st^{-1}). Conversely, if (4) holds, the ss-th coordinates of xρ(g)δtx\rho(g)\delta_t and ρ(g)xδt\rho(g)x\delta_t are both a(sgt−1)a(sgt^{-1}). Equality on the basis proves commutation.

For the second assertion put b=yδeb=y\delta_e, and use δt=λ(t)δe\delta_t=\lambda(t)\delta_e. This gives yδt=λ(t)by\delta_t=\lambda(t)b and (5). Conversely, the ss-th coordinates of yλ(g)δty\lambda(g)\delta_t and λ(g)yδt\lambda(g)y\delta_t are both b(t−1g−1s)b(t^{-1}g^{-1}s). Again equality on the basis suffices. □\square

Theorem 2 (regular commutants). For every discrete GG,

λ(G)′′=ρ(G)′,ρ(G)′′=λ(G)′.(6)\boxed{\lambda(G)''=\rho(G)',\qquad \rho(G)''=\lambda(G)'.} \tag{6}

Proof. Since every ρ(g)\rho(g) commutes with λ(G)\lambda(G), we have ρ(G)⊆λ(G)′\rho(G)\subseteq\lambda(G)'; taking commutants gives λ(G)′′⊆ρ(G)′\lambda(G)''\subseteq\rho(G)'.

For the reverse inclusion take x∈ρ(G)′x\in\rho(G)' and an arbitrary y∈λ(G)′y\in\lambda(G)'. Let a,ba,b be their functions in (4) and (5). Formula (3) gives

(xy)s,t=∑r∈Ga(sr−1)b(t−1r),(7)(xy)_{s,t}=\sum_{r\in G}a(sr^{-1})b(t^{-1}r), \tag{7}

and

(yx)s,t=∑u∈Gb(u−1s)a(ut−1).(8)(yx)_{s,t}=\sum_{u\in G}b(u^{-1}s)a(ut^{-1}). \tag{8}

Both sums converge absolutely. For example the maps r↦sr−1r\mapsto sr^{-1} and r↦t−1rr\mapsto t^{-1}r are bijections of GG, so the sum of absolute values in (7) is at most ∥a∥2∥b∥2\|a\|_2\|b\|_2; the same argument applies to (8). In (8) substitute

u=sr−1t.u=sr^{-1}t.

This is a bijective change of index, and it gives u−1s=t−1ru^{-1}s=t^{-1}r, ut−1=sr−1ut^{-1}=sr^{-1}. Thus (7) and (8) are equal. All matrix entries of xyxy and yxyx agree, hence xy=yxxy=yx. Since yy was arbitrary in λ(G)′\lambda(G)', x∈λ(G)′′x\in\lambda(G)''.

Finally, for every set SS, S′′′=S′S'''=S': the inclusion S⊆S′′S\subseteq S'' yields S′′′⊆S′S'''\subseteq S', while each element of S′S' commutes with each element of S′′S'' by the definition of S′′S''. Taking commutants of the first identity in (6) therefore gives the second. □\square

In particular L(G)=ρ(G)′L(G)=\rho(G)' is a unital algebra closed under adjoints: if xx commutes with all ρ(g)\rho(g), then x∗x^* does too, by taking adjoints and using ρ(g)∗=ρ(g−1)\rho(g)^*=\rho(g^{-1}). It is closed in both the weak and strong operator topologies. For example, if xi→xx_i\to x strongly and each xix_i commutes with a fixed ρ(g)\rho(g), then for every vector ξ\xi,

xρ(g)ξ=lim⁡ixiρ(g)ξ=lim⁡iρ(g)xiξ=ρ(g)xξ.x\rho(g)\xi=\lim_i x_i\rho(g)\xi =\lim_i\rho(g)x_i\xi=\rho(g)x\xi.

For weak convergence take the matrix coefficient against an arbitrary vector on both sides of the same equality. This proves the closure assertions directly.

G01. Increasing positive operators and the canonical trace

We first record an order fact so that normality will not hide a density or continuity theorem.

Lemma 3 (monotone convergence of bounded operators). Let (Ti)(T_i) be an increasing net of positive bounded operators on a Hilbert space, with sup⁡i∥Ti∥≤C<∞\sup_i\|T_i\|\leq C<\infty. There is a positive operator TT such that Ti→TT_i\to T strongly, and TT is their least upper bound. If every TiT_i belongs to a strongly closed algebra, TT belongs to that algebra.

Proof. A positive operator AA has the positive-form Cauchy–Schwarz inequality

∣⟨η,Aξ⟩∣2≤⟨η,Aη⟩⟨ξ,Aξ⟩.(9)|\langle\eta,A\xi\rangle|^2 \leq\langle\eta,A\eta\rangle\langle\xi,A\xi\rangle. \tag{9}

To prove it, expand ⟨η+zξ,A(η+zξ)⟩≥0\langle\eta+z\xi,A(\eta+z\xi)\rangle\geq0 for z∈Cz\in\mathbb C and minimize the resulting quadratic polynomial. If ⟨ξ,Aξ⟩=0\langle\xi,A\xi\rangle=0, the linear term must vanish for every zz, which proves the zero case too. The positivity condition also implies self-adjointness, by polarization of this quadratic form.

For each ξ\xi the numbers qi(ξ)=⟨ξ,Tiξ⟩q_i(\xi)=\langle\xi,T_i\xi\rangle increase to a finite limit q(ξ)q(\xi), bounded by C∥ξ∥2C\|\xi\|^2. Polarization shows that each ⟨η,Tiξ⟩\langle\eta,T_i\xi\rangle has a limit. These limits form a bounded sesquilinear form, of absolute value at most C∥η∥∥ξ∥C\|\eta\|\|\xi\|, since this bound holds for each ii. The Hilbert space representation theorem supplies a bounded operator TT with those matrix coefficients. It is positive and 0≤Ti≤T≤CI0\leq T_i\leq T\leq CI.

Put Ai=T−TiA_i=T-T_i. By (9), taking the supremum over unit vectors η\eta,

∥Aiξ∥2=sup⁡∥η∥=1∣⟨η,Aiξ⟩∣2≤C⟨ξ,Aiξ⟩⟶0.(10)\|A_i\xi\|^2 =\sup_{\|\eta\|=1}|\langle\eta,A_i\xi\rangle|^2 \leq C\langle\xi,A_i\xi\rangle\longrightarrow0. \tag{10}

Thus Ti→TT_i\to T strongly. If SS is any self-adjoint upper bound, then ⟨ξ,(S−Ti)ξ⟩≥0\langle\xi,(S-T_i)\xi\rangle\geq0 for every ii; taking the limit gives S≥TS\geq T. This proves that TT is the supremum. The last assertion is strong closure. □\square

Define

τG(x)=⟨δe,xδe⟩(x∈L(G)).(11)\tau_G(x)=\langle\delta_e,x\delta_e\rangle\quad(x\in L(G)). \tag{11}

Theorem 4 (canonical trace). The functional τG\tau_G is a faithful normal tracial state on L(G)L(G).

Proof. It is linear, positive, and τG(I)=1\tau_G(I)=1, directly from (11). Also ∣τG(x)∣≤∥x∥|\tau_G(x)|\leq\|x\|. It has norm one because equality holds at II.

The vector δe\delta_e is separating for L(G)L(G). Indeed, if xδe=0x\delta_e=0, then, because x∈ρ(G)′x\in\rho(G)',

xδt=xρ(t−1)δe=ρ(t−1)xδe=0x\delta_t=x\rho(t^{-1})\delta_e =\rho(t^{-1})x\delta_e=0

for every tt. Hence x=0x=0. It is also cyclic, since λ(t)δe=δt\lambda(t)\delta_e=\delta_t and finitely supported vectors are dense.

For x∈L(G)x\in L(G),

τG(x∗x)=∥xδe∥2.(12)\tau_G(x^*x)=\|x\delta_e\|^2. \tag{12}

This proves faithfulness in the form τG(x∗x)=0⇒x=0\tau_G(x^*x)=0\Rightarrow x=0. It also proves faithfulness on arbitrary positive operators without invoking a square root: if p≥0p\geq0 and τG(p)=0\tau_G(p)=0, inequality (9) gives ⟨η,pδe⟩=0\langle\eta,p\delta_e\rangle=0 for every η\eta, so pδe=0p\delta_e=0, and the separating property gives p=0p=0.

For traciality let a=xδea=x\delta_e, c=yδec=y\delta_e, where x,y∈L(G)=ρ(G)′x,y\in L(G)=\rho(G)'. Equations (3) and (4) give

τG(xy)=∑r∈Ga(r−1)c(r),τG(yx)=∑u∈Gc(u−1)a(u).(13)\tau_G(xy)=\sum_{r\in G}a(r^{-1})c(r),\qquad \tau_G(yx)=\sum_{u\in G}c(u^{-1})a(u). \tag{13}

Both sums have sum of absolute values at most ∥a∥2∥c∥2\|a\|_2\|c\|_2. Changing uu to r−1r^{-1} in the second proves τG(xy)=τG(yx)\tau_G(xy)=\tau_G(yx) for the arbitrary bounded operators under consideration.

If xix_i is an increasing bounded net of positive elements of L(G)L(G), Lemma 3 and strong closure give its supremum x∈L(G)x\in L(G) and xiδe→xδex_i\delta_e\to x\delta_e. Therefore

τG(x)=lim⁡iτG(xi)=sup⁡iτG(xi).\tau_G(x)=\lim_i\tau_G(x_i)=\sup_i\tau_G(x_i).

This proves order normality. Formula (11) is a one-term series-vector functional in H03, so the trace is also ultraweakly continuous. □\square

The trace also directly rules out proper isometries in L(G)L(G). If v∗v=Iv^*v=I, then vv∗vv^* is a projection and τG(I−vv∗)=τG(I)−τG(v∗v)=0\tau_G(I-vv^*)=\tau_G(I)-\tau_G(v^*v)=0. Faithfulness gives vv∗=Ivv^*=I. This observation uses no classification of finite factors.

G02. Fourier coefficients and their precise convergence

For x∈L(G)x\in L(G) define its Fourier coefficient at gg by

x^(g)=⟨δg,xδe⟩.(14)\widehat x(g)=\langle\delta_g,x\delta_e\rangle. \tag{14}

Lemma 1 gives the complete matrix from these coefficients:

xs,t=x^(st−1).(15)x_{s,t}=\widehat x(st^{-1}). \tag{15}

In particular the coefficients determine xx uniquely. They satisfy

x^(g)=τG(xλ(g)∗),x∗^(g)=x^(g−1)‾,(16)\widehat x(g)=\tau_G\bigl(x\lambda(g)^*\bigr), \qquad \widehat{x^*}(g)=\overline{\widehat x(g^{-1})}, \tag{16}

and

xy^(s)=∑r∈Gx^(sr−1)y^(r),∑r∣x^(sr−1)y^(r)∣≤∥xδe∥ ∥yδe∥.(17)\widehat{xy}(s)=\sum_{r\in G}\widehat x(sr^{-1})\widehat y(r), \qquad \sum_r|\widehat x(sr^{-1})\widehat y(r)| \leq\|x\delta_e\|\,\|y\delta_e\|. \tag{17}

For the first identity in (16), λ(g)∗δe=δg−1\lambda(g)^*\delta_e=\delta_{g^{-1}}, so (15) gives the coefficient xe,g−1=x^(g)x_{e,g^{-1}}=\widehat x(g). The adjoint identity follows by exchanging the matrix indices in (15) and taking complex conjugates. Formula (17) is the s,es,e case of (3), with Cauchy–Schwarz as indicated.

Put ∥x∥2=τG(x∗x)1/2\|x\|_2=\tau_G(x^*x)^{1/2}. By (12),

∥x∥22=∑g∈G∣x^(g)∣2.(18)\|x\|_2^2=\sum_{g\in G}|\widehat x(g)|^2. \tag{18}

The map Vτ:x↦xδeV_\tau:x\mapsto x\delta_e is an isometry from L(G)L(G), with the inner product τG(x∗y)\tau_G(x^*y), into ℓ2(G)\ell^2(G). Its range is dense because it contains every δg=λ(g)δe\delta_g=\lambda(g)\delta_e. It therefore extends to a unitary from the Hilbert space completion, denoted L2(L(G),τG)L^2(L(G),\tau_G), onto ℓ2(G)\ell^2(G).

If F⊂GF\subset G is finite and

xF=∑g∈Fx^(g)λ(g),x_F=\sum_{g\in F}\widehat x(g)\lambda(g),

then

∥x−xF∥22=∑g∉F∣x^(g)∣2⟶0(19)\|x-x_F\|_2^2=\sum_{g\notin F}|\widehat x(g)|^2\longrightarrow0 \tag{19}

as the finite subsets exhaust GG. This is exactly convergence in the Hilbert space just defined. Equation (19) makes no assertion about strong or weak operator convergence of the xFx_F, and gives no uniform operator norm bound for these finite sums.

G03. The subgroup algebra inside the group algebra

Let H≤GH\leq G be any subgroup. Write λH,ρH\lambda_H,\rho_H for its regular representations on ℓ2(H)\ell^2(H). Applying Theorem 2 to HH gives

L(H)=λH(H)′′=ρH(H)′.L(H)=\lambda_H(H)''=\rho_H(H)'.

To identify this algebra inside L(G)L(G), partition GG into right cosets HtHt. Choose one representative tt in each coset, including ee for HH, and let T\mathcal T be the representatives. Then

ℓ2(G)=⨁t∈Tℓ2(Ht),Ut:ℓ2(H)⟶ℓ2(Ht),Utδh=δht.(20)\ell^2(G)=\bigoplus_{t\in\mathcal T}\ell^2(Ht), \qquad U_t:\ell^2(H)\longrightarrow\ell^2(Ht),\quad U_t\delta_h=\delta_{ht}. \tag{20}

Each UtU_t is unitary onto its summand and intertwines λH(h)\lambda_H(h) with λG(h)\lambda_G(h) on that summand. Define

ιH(b)=⨁t∈TUtbUt∗(b∈L(H)).(21)\iota_H(b)=\bigoplus_{t\in\mathcal T}U_tbU_t^* \quad(b\in L(H)). \tag{21}

The direct sum is bounded: the square of its value on ξ=⨁tξt\xi=\bigoplus_t\xi_t has norm at most ∥b∥2∑t∥ξt∥2\|b\|^2\sum_t\|\xi_t\|^2. Conversely restriction to the HH summand has norm ∥b∥\|b\|, so ∥ιH(b)∥=∥b∥\|\iota_H(b)\|=\|b\|. Products and adjoints are computed on each summand, making ιH\iota_H an injective unital *-homomorphism. It is independent of representatives: replacing tt by h0th_0t changes UtU_t to UtρH(h0−1)U_t\rho_H(h_0^{-1}), and bb commutes with that right regular unitary. Its values on group elements are

ιH(λH(h))=λG(h)(h∈H).(22)\iota_H(\lambda_H(h))=\lambda_G(h)\quad(h\in H). \tag{22}

Theorem 5 (subgroup embedding). The map ιH\iota_H identifies L(H)L(H) with

LG(H):=λG(H)′′⊆L(G).(23)L_G(H):=\lambda_G(H)''\subseteq L(G). \tag{23}

It preserves the canonical trace and suprema of increasing bounded positive nets.

Proof. Let PtP_t be the projection onto ℓ2(Ht)\ell^2(Ht). If y∈λG(H)′y\in\lambda_G(H)', every block

yu,t=Uu∗PuyUt:ℓ2(H)⟶ℓ2(H)y_{u,t}=U_u^*P_u yU_t:\ell^2(H)\longrightarrow\ell^2(H)

commutes with λH(H)\lambda_H(H). Explicitly, for h∈Hh\in H the intertwining relations and commutation of yy give

λH(h)yu,t=Uu∗PuλG(h)yUt=Uu∗PuyλG(h)Ut=yu,tλH(h).\lambda_H(h)y_{u,t} =U_u^*P_u\lambda_G(h)yU_t =U_u^*P_u y\lambda_G(h)U_t =y_{u,t}\lambda_H(h).

Thus yu,t∈λH(H)′y_{u,t}\in\lambda_H(H)'. For b∈λH(H)′′b\in\lambda_H(H)'',

b yu,t=yu,t bb\,y_{u,t}=y_{u,t}\,b

for each pair of cosets. These are precisely the blocks of ιH(b)y\iota_H(b)y and yιH(b)y\iota_H(b). Equality of all blocks implies equality of the operators: for a vector in one summand their projections to all summands agree, and finite sums of such vectors are dense. Hence ιH(b)∈λG(H)′′\iota_H(b)\in\lambda_G(H)''.

Conversely let x∈λG(H)′′x\in\lambda_G(H)''. Each PtP_t commutes with λG(H)\lambda_G(H), so xx commutes with PtP_t. Thus xx is block diagonal. For any u,t∈Tu,t\in\mathcal T, the bounded partial isometry

Vu,t=UuUt∗PtV_{u,t}=U_uU_t^*P_t

also commutes with λG(H)\lambda_G(H). Commutation with xx says that its diagonal blocks, transported to ℓ2(H)\ell^2(H), are all the same bounded operator bb. For each z∈λH(H)′z\in\lambda_H(H)', the diagonal operator ⨁tUtzUt∗\bigoplus_t U_tzU_t^* belongs to λG(H)′\lambda_G(H)', so xx commutes with it. Restricting to the HH summand gives bz=zbbz=zb. Consequently b∈λH(H)′′=L(H)b\in\lambda_H(H)''=L(H) and x=ιH(b)x=\iota_H(b). This proves equality of the range with (23). Inclusion in L(G)L(G) follows from λG(H)⊆λG(G)\lambda_G(H)\subseteq\lambda_G(G): taking commutants reverses the inclusion, and taking commutants again restores it.

Because the HH summand uses t=et=e,

τG(ιH(b))=⟨δe,bδe⟩=τH(b).(24)\tau_G(\iota_H(b))=\langle\delta_e,b\delta_e\rangle=\tau_H(b). \tag{24}

For the order assertion let bi↑bb_i\uparrow b be a bounded increasing net in L(H)+L(H)_+. Lemma 3 gives strong convergence on ℓ2(H)\ell^2(H). The positive operator ιH(b)\iota_H(b) is an upper bound for all ιH(bi)\iota_H(b_i). To verify strong convergence on ℓ2(G)\ell^2(G), fix ξ=⨁tξt\xi=\bigoplus_t\xi_t and bound ∥b−bi∥\|b-b_i\| by a common constant DD. For a finite collection K⊂TK\subset\mathcal T,

∥(ιH(b)−ιH(bi))ξ∥2≤∑t∈K∥(b−bi)Ut∗ξt∥2+D2∑t∉K∥ξt∥2.(25)\|\bigl(\iota_H(b)-\iota_H(b_i)\bigr)\xi\|^2 \leq\sum_{t\in K}\|(b-b_i)U_t^*\xi_t\|^2 +D^2\sum_{t\notin K}\|\xi_t\|^2. \tag{25}

First make the tail as small as desired by choosing KK, then use strong convergence for its finitely many vectors. Thus ιH(bi)→ιH(b)\iota_H(b_i)\to\iota_H(b) strongly. Lemma 3, or its least-upper-bound argument, proves that ιH(b)\iota_H(b) is their supremum. □\square

An element ιH(b)\iota_H(b) has Fourier coefficients zero outside HH, and its coefficient at h∈Hh\in H is b^(h)\widehat b(h), because ιH(b)δe=bδe∈ℓ2(H)\iota_H(b)\delta_e=b\delta_e\in\ell^2(H).

G04. Compression and the subgroup expectation

Let PHP_H denote the orthogonal projection of ℓ2(G)\ell^2(G) onto ℓ2(H)\ell^2(H), and let jH:ℓ2(H)↪ℓ2(G)j_H:\ell^2(H)\hookrightarrow\ell^2(G) be inclusion. Thus jH∗=PHj_H^*=P_H, with the range of PHP_H viewed as ℓ2(H)\ell^2(H). For x∈L(G)x\in L(G) put

cH(x)=jH∗xjH∈B(ℓ2(H)).(26)c_H(x)=j_H^*xj_H\in B(\ell^2(H)). \tag{26}

For h∈Hh\in H, the right translation ρG(h)\rho_G(h) preserves HH and its complement, so PHρG(h)=ρG(h)PHP_H\rho_G(h)=\rho_G(h)P_H, and its restriction is ρH(h)\rho_H(h). Since xx commutes with ρG(h)\rho_G(h),

cH(x)ρH(h)=ρH(h)cH(x).c_H(x)\rho_H(h)=\rho_H(h)c_H(x).

Theorem 2 for HH now proves cH(x)∈L(H)c_H(x)\in L(H). We can therefore define

EH(x)=ιH(cH(x))∈LG(H).(27)\boxed{E_H(x)=\iota_H(c_H(x))\in L_G(H).} \tag{27}

This distinguishes the compression on ℓ2(H)\ell^2(H) from the resulting operator on ℓ2(G)\ell^2(G).

Theorem 6 (subgroup expectation). The map EH:L(G)→LG(H)E_H:L(G)\to L_G(H) is linear, positive, unital, contractive, normal, faithful, and trace preserving. It fixes LG(H)L_G(H), hence is an idempotent map onto it. For b1,b2∈LG(H)b_1,b_2\in L_G(H) and x∈L(G)x\in L(G),

EH(b1xb2)=b1EH(x)b2.(28)E_H(b_1xb_2)=b_1E_H(x)b_2. \tag{28}

Its Fourier coefficients are

EH(x)^(g)={x^(g),g∈H,0,g∉H.(29)\widehat{E_H(x)}(g)= \begin{cases} \widehat x(g),&g\in H,\\ 0,&g\notin H. \end{cases} \tag{29}

Proof. Compression is linear, preserves adjoints, sends II to the identity on ℓ2(H)\ell^2(H), and has norm at most one. It is positive because for ξ∈ℓ2(H)\xi\in\ell^2(H),

⟨ξ,cH(x)ξ⟩=⟨jHξ,xjHξ⟩≥0(x≥0).\langle\xi,c_H(x)\xi\rangle =\langle j_H\xi,xj_H\xi\rangle\geq0\quad(x\geq0).

The direct sum defining ιH\iota_H preserves positivity and the unit and is isometric, so EHE_H has these same properties, including ∥EH(x)∥≤∥x∥\|E_H(x)\|\leq\|x\|. Also cH(ιH(b))=bc_H(\iota_H(b))=b, proving that EHE_H fixes its range and EH2=EHE_H^2=E_H.

Each element of LG(H)L_G(H) is block diagonal for the decomposition (20). In particular it commutes with PHP_H and restricts on HH to its corresponding element in L(H)L(H). If bj=ιH(dj)b_j=\iota_H(d_j), then

cH(b1xb2)=d1cH(x)d2.c_H(b_1xb_2)=d_1c_H(x)d_2.

Applying the multiplicative map ιH\iota_H proves (28).

To prove normality let 0≤xi↑x0\leq x_i\uparrow x be bounded in L(G)L(G). Lemma 3 gives xi→xx_i\to x strongly. Consequently cH(xi)→cH(x)c_H(x_i)\to c_H(x) strongly on ℓ2(H)\ell^2(H). The compressed net is positive, increasing, and bounded, and its limit is its supremum by Lemma 3. The order assertion of Theorem 5 then gives

EH(xi)↑EH(x).E_H(x_i)\uparrow E_H(x).

Since δe∈ℓ2(H)\delta_e\in\ell^2(H),

τG(EH(x))=τH(cH(x))=⟨δe,xδe⟩=τG(x).(30)\tau_G(E_H(x)) =\tau_H(c_H(x)) =\langle\delta_e,x\delta_e\rangle =\tau_G(x). \tag{30}

If x≥0x\geq0 and EH(x)=0E_H(x)=0, equation (30) gives τG(x)=0\tau_G(x)=0; Theorem 4 gives x=0x=0. This proves faithfulness.

Finally EH(x)δe=cH(x)δe=PHxδeE_H(x)\delta_e=c_H(x)\delta_e=P_Hx\delta_e, viewed as a vector in ℓ2(G)\ell^2(G). Its coordinates are exactly (29). □\square

The embedding and compression are ultraweakly continuous directly. For compression, a test ∑j⟨ξj,cH(x)ηj⟩\sum_j\langle\xi_j,c_H(x)\eta_j\rangle pulls back to ∑j⟨jHξj,xjHηj⟩\sum_j\langle j_H\xi_j,xj_H\eta_j\rangle, with the same summable norm products. For amplification, decompose the two vectors in each test into their right-coset coordinates ξj,t,ηj,t\xi_{j,t},\eta_{j,t}. The pullback is the series of tests

∑j,t⟨ξj,t,bηj,t⟩,∑j,t∥ξj,t∥∥ηj,t∥≤∑j∥ξj∥∥ηj∥<∞,\sum_{j,t}\langle\xi_{j,t},b\eta_{j,t}\rangle, \qquad \sum_{j,t}\|\xi_{j,t}\|\|\eta_{j,t}\| \le\sum_j\|\xi_j\|\|\eta_j\|<\infty,

by Cauchy–Schwarz over the cosets. Absolute convergence permits flattening the countable double series. H03 therefore proves ultraweak continuity of both maps and their composite EHE_H, in addition to the positive-supremum calculation. When the coset set is uncountable, each vector still has only countably many nonzero coset coordinates by the finite-partial-sum argument of H00. The union of these supports over the countably many tests is countable, so exactly the same summable-series proof applies.

These are the defining properties of a trace-preserving conditional expectation. Positivity also holds at every matrix level if that form is needed: for X=[xij]≥0X=[x_{ij}]\geq0 acting on ℓ2(G)⊕n\ell^2(G)^{\oplus n}, its matrix of compressions [cH(xij)][c_H(x_{ij})] is the compression by jH⊕nj_H^{\oplus n}, so is positive on ℓ2(H)⊕n\ell^2(H)^{\oplus n}. The matrix [EH(xij)][E_H(x_{ij})], after grouping coordinates by right cosets, is a direct sum of copies of this positive matrix. It is therefore positive. Thus EHE_H is completely positive, by direct compression.

Under the isometry VτV_\tau of G02,

Vτ(EH(x))=PHVτ(x).(31)V_\tau(E_H(x))=P_HV_\tau(x). \tag{31}

Consequently its extension to L2(L(G),τG)L^2(L(G),\tau_G) is the orthogonal projection onto the copy of ℓ2(H)\ell^2(H). Explicitly,

∥EH(x)∥22=∑h∈H∣x^(h)∣2≤∥x∥22.(32)\|E_H(x)\|_2^2=\sum_{h\in H}|\widehat x(h)|^2 \leq\|x\|_2^2. \tag{32}

The range of the extended projection is the Hilbert space closure of LG(H)L_G(H), because the vectors λ(h)δe=δh\lambda(h)\delta_e=\delta_h, h∈Hh\in H, span a dense subspace of ℓ2(H)\ell^2(H).

Corollary 7 (Fourier support). For x∈L(G)x\in L(G),

x∈LG(H)⟺x^(g)=0 for every g∉H.(33)x\in L_G(H) \quad\Longleftrightarrow\quad \widehat x(g)=0\text{ for every }g\notin H. \tag{33}

Proof. The forward implication was established after Theorem 5. If the coefficients vanish off HH, equation (29) says that xx and EH(x)E_H(x) have identical coefficients. Equation (15) or the separating property gives x=EH(x)∈LG(H)x=E_H(x)\in L_G(H). □\square

Corollary 8 (uniqueness). Suppose F:L(G)→LG(H)F:L(G)\to L_G(H) is a linear map with τG∘F=τG\tau_G\circ F=\tau_G and the bimodule property (28). Then F=EHF=E_H.

Proof. For h∈Hh\in H,

F(x)^(h)=τG(F(x)λ(h)∗)=τG(F(xλ(h)∗))=τG(xλ(h)∗)=x^(h).\widehat{F(x)}(h) =\tau_G(F(x)\lambda(h)^*) =\tau_G(F(x\lambda(h)^*)) =\tau_G(x\lambda(h)^*)=\widehat x(h).

Off HH all coefficients of F(x)F(x) vanish by Corollary 7, since its value is in LG(H)L_G(H). Thus F(x)F(x) and EH(x)E_H(x) have the same coefficients, so they are equal. □\square

G05. Conjugacy classes and the factor criterion

The center of L(G)L(G) is the set of its elements commuting with every element of L(G)L(G). It is enough to commute with the regular group unitaries: if x∈L(G)∩λ(G)′x\in L(G)\cap\lambda(G)', then every element of L(G)=λ(G)′′L(G)=\lambda(G)'' commutes with xx by the definition of the second commutant.

For g∈Gg\in G and x∈L(G)x\in L(G),

(λ(g)xλ(g)∗)δe=λ(g)xδg−1=λ(g)ρ(g)xδe.(34)(\lambda(g)x\lambda(g)^*)\delta_e =\lambda(g)x\delta_{g^{-1}} =\lambda(g)\rho(g)x\delta_e. \tag{34}

The permutation λ(g)ρ(g)\lambda(g)\rho(g) sends δt\delta_t to δgtg−1\delta_{gtg^{-1}}. Taking coordinates in (34) gives

λ(g)xλ(g)∗^(s)=x^(g−1sg).(35)\widehat{\lambda(g)x\lambda(g)^*}(s) =\widehat x(g^{-1}sg). \tag{35}

Fourier uniqueness therefore proves that xx is central exactly when x^\widehat x is constant on each conjugacy class.

Theorem 9 (group factor criterion). The center of L(G)L(G) consists of the scalars if and only if every conjugacy class of a nonidentity element of GG is infinite.

Proof. Suppose those conjugacy classes are infinite and xx is central. Let CC be any such class and let cc be the constant value of x^\widehat x on CC. For every positive integer NN, choose NN distinct points of CC. Equation (18) gives

N∣c∣2≤∥x∥22.N|c|^2\leq\|x\|_2^2.

Letting NN grow proves c=0c=0. Thus x^\widehat x vanishes off ee, and xx and x^(e)I\widehat x(e)I have the same Fourier coefficients. They are equal.

Conversely suppose CC is a finite conjugacy class containing a nonidentity element. The finite sum

zC=∑s∈Cλ(s)z_C=\sum_{s\in C}\lambda(s)

belongs to L(G)L(G). For every g∈Gg\in G, conjugation by λ(g)\lambda(g) permutes its summands, so λ(g)zCλ(g)∗=zC\lambda(g)z_C\lambda(g)^*=z_C. By the observation preceding (34), zCz_C is central. Yet

zCδe=∑s∈Cδsz_C\delta_e=\sum_{s\in C}\delta_s

is nonzero and orthogonal to δe\delta_e, because e∉Ce\notin C. A scalar operator cannot have this value on δe\delta_e, so zCz_C is not scalar. □\square

A von Neumann algebra with scalar center is called a factor. The group condition in Theorem 9 is usually called the ICC condition. If a convention requires an ICC group to be infinite, state the criterion as: L(G)L(G) is a factor exactly when GG is trivial or is ICC. The trivial group satisfies the displayed conjugacy-class condition vacuously and has L(G)=CL(G)=\mathbb C. No assertion about the type of an infinite factor or about its predual is required for this criterion.

Reading

Claire Anantharaman and Sorin Popa, An introduction to II₁ factors, free author draft, Section 1.3.1, printed pages 6–9: the regular representations, canonical trace, Theorem 1.3.6, Remark 1.3.7, and Proposition 1.3.9. For the general trace-preserving expectation theorem and its Hilbert space interpretation, see Theorem 9.1.2 and Remark 9.1.3. The full group-specific arguments used in this lesson are given above.

T01. Bounded weak convergence and ultraweak functionals

Let Tj∈B(H)T_j\in B(\mathcal H) satisfy sup⁡j∥Tj∥≤C\sup_j\|T_j\|\le C, and suppose Tj→0T_j\to0 weakly. Every ultraweak series-vector functional has the form

F(T)=∑r=1∞⟨ξr,Tηr⟩,∑r∥ξr∥∥ηr∥<∞.F(T)=\sum_{r=1}^\infty\langle\xi_r,T\eta_r\rangle, \qquad \sum_r\|\xi_r\|\|\eta_r\|<\infty.

For each RR, the first RR terms tend to zero, while

∣∑r>R⟨ξr,Tjηr⟩∣≤C∑r>R∥ξr∥∥ηr∥.\left|\sum_{r>R}\langle\xi_r,T_j\eta_r\rangle\right| \le C\sum_{r>R}\|\xi_r\|\|\eta_r\|.

Choosing RR and then jj proves F(Tj)→0F(T_j)\to0. Thus a uniformly bounded weakly convergent family is ultraweakly convergent. The proof works for nets as well as sequences, and for a limit other than zero after subtraction. A bounded strongly convergent family is weakly convergent and therefore has the same ultraweak limit.

For a concrete von Neumann algebra M⊂B(H)M\subset B(\mathcal H), an ultraweakly continuous linear functional on MM is a restriction of a series-vector functional. Here is the relevant elementary topological point. Continuity at zero supplies finitely many series-vector tests F1,…,FkF_1,\ldots,F_k and a constant cc with ∣φ(x)∣≤cmax⁡i∣Fi(x)∣|\varphi(x)|\le c\max_i|F_i(x)| on MM. Consequently φ\varphi vanishes on the kernel of x↦(F1(x),…,Fk(x))x\mapsto(F_1(x),\ldots,F_k(x)), so it factors through this map. Extend the resulting linear functional on its image to Ck\mathbb C^k. Then φ=∑iaiFi∣M\varphi=\sum_i a_i F_i|_M; concatenating the finitely many absolutely summable series gives the asserted form. In particular T01 applies to every normal functional, where "normal" here means ultraweakly continuous.

T02. Escaping conjugates in an ICC group

Let GG be a countable discrete ICC group, M=L(G)M=L(G) in its left regular representation on ℓ2(G)\ell^2(G), and

λgδt=δgt,ρgδt=δtg−1,τ(x)=⟨δe,xδe⟩.\lambda_g\delta_t=\delta_{gt},\qquad \rho_g\delta_t=\delta_{tg^{-1}},\qquad \tau(x)=\langle\delta_e,x\delta_e\rangle.

Let σ\sigma be a normal normalized tracial state on MM. Fix g≠eg\ne e. Its conjugacy class is infinite, so choose pairwise distinct conjugates gj=hjghj−1g_j=h_jgh_j^{-1}. A sequence of distinct elements leaves every finite subset of GG. For basis vectors,

⟨δs,λgjδt⟩=1{s=gjt}⟶0.\langle\delta_s,\lambda_{g_j}\delta_t\rangle =1_{\{s=g_jt\}}\longrightarrow0.

The same convergence holds for finite-support vectors by linearity. For arbitrary ξ,η\xi,\eta, choose finite-support approximants ξ0,η0\xi_0,\eta_0. Since ∥λgj∥=1\|\lambda_{g_j}\|=1, the difference from the finite-support matrix coefficient is at most

∥ξ−ξ0∥∥η∥+∥ξ0∥∥η−η0∥,\|\xi-\xi_0\|\|\eta\|+\|\xi_0\|\|\eta-\eta_0\|,

uniformly in jj. Hence λgj→0\lambda_{g_j}\to0 weakly, and T01 makes this convergence ultraweak. Traciality gives

σ(λgj)=σ(λhjλgλhj∗)=σ(λg).\sigma(\lambda_{g_j}) =\sigma(\lambda_{h_j}\lambda_g\lambda_{h_j}^*) =\sigma(\lambda_g).

Normality therefore gives σ(λg)=0\sigma(\lambda_g)=0. At the identity, σ(1)=1\sigma(1)=1. Thus σ\sigma and τ\tau agree on the algebraic span of the group unitaries.

This calculation by itself proves agreement only on that span. Extending it by ultraweak density would require the double commutant density theorem. T03 instead proves agreement on every x∈Mx\in M directly.

T03. Uniqueness of the normal normalized trace on an ICC group algebra

For h∈Gh\in G, put Vh=λhρhV_h=\lambda_h\rho_h, so that Vhδt=δhth−1V_h\delta_t=\delta_{hth^{-1}}. A vector fixed by every VhV_h has coordinates constant on conjugacy classes. ICC and square summability force all nonidentity coordinates to vanish. The common fixed space is therefore Cδe\mathbb C\delta_e.

Fix x∈Mx\in M, and let KK be the norm-closed convex hull in ℓ2(G)\ell^2(G) of {Vhxδe:h∈G}\{V_hx\delta_e:h\in G\}. This nonempty bounded closed convex set has a unique vector of smallest norm. To see existence, put d=inf⁡ξ∈K∥ξ∥d=\inf_{\xi\in K}\|\xi\|, and choose ξj∈K\xi_j\in K with ∥ξj∥2→d2\|\xi_j\|^2\to d^2. Convexity and the parallelogram identity give

∥ξj−ξk∥2≤2∥ξj∥2+2∥ξk∥2−4d2⟶0.\|\xi_j-\xi_k\|^2 \le2\|\xi_j\|^2+2\|\xi_k\|^2-4d^2\longrightarrow0.

Completeness and closedness give a minimizing limit. If two vectors minimize, applying the same identity to their midpoint proves that they coincide.

Each VhV_h maps KK onto itself and preserves the norm; it must fix the unique minimizer. The preceding fixed-space calculation makes this minimizer a scalar multiple of δe\delta_e. Every vector in KK has identity coefficient ⟨δe,xδe⟩=τ(x)\langle\delta_e,x\delta_e\rangle=\tau(x), because conjugation fixes the identity coordinate. Thus the minimizer is exactly τ(x)δe\tau(x)\delta_e.

Choose finite convex combinations aja_j of the conjugates λhxλh∗\lambda_hx\lambda_h^* whose vectors at δe\delta_e converge in norm to τ(x)δe\tau(x)\delta_e. These are exactly the corresponding convex combinations in KK: left and right translations commute and xx commutes with ρh\rho_h, so

λhxλh∗δe=λhxρhδe=Vhxδe.\lambda_hx\lambda_h^*\delta_e =\lambda_hx\rho_h\delta_e =V_hx\delta_e.

Also ∥aj∥≤∥x∥\|a_j\|\le\|x\|. Every aj∈Ma_j\in M commutes with every right translation. For t∈Gt\in G, δt=ρt−1δe\delta_t=\rho_{t^{-1}}\delta_e, hence

(aj−τ(x)1)δt=ρt−1(aj−τ(x)1)δe⟶0.(a_j-\tau(x)1)\delta_t =\rho_{t^{-1}}(a_j-\tau(x)1)\delta_e\longrightarrow0.

It follows on finite-support vectors, and then by the uniform bound on arbitrary vectors, that aj→τ(x)1a_j\to\tau(x)1 strongly. T01 upgrades this to ultraweak convergence.

Traciality makes σ(aj)=σ(x)\sigma(a_j)=\sigma(x) for every jj. Normality and normalization now give

σ(x)=lim⁡jσ(aj)=σ(τ(x)1)=τ(x).\sigma(x)=\lim_j\sigma(a_j)=\sigma(\tau(x)1)=\tau(x).

Thus τ\tau is the unique normal normalized tracial state on L(G)L(G). In fact the same proof shows that a normal linear functional invariant under all group conjugations equals its value at 11 times τ\tau.

Neither T02 nor T03 proves uniqueness among nonnormal tracial states. T03 needs no polynomial-density theorem, trace-class spectral decomposition, projection comparison, or generic finite-factor trace theorem.

T04a. Polar decomposition from bounded positive inverses

Let M⊂B(H)M\subset B(\mathcal H) be a von Neumann algebra and x∈Mx\in M. The continuous calculus gives a=∣x∣=(x∗x)1/2∈Ma=|x|=(x^*x)^{1/2}\in M. For every ξ\xi,

∥aξ∥2=⟨ξ,x∗xξ⟩=∥xξ∥2.\|a\xi\|^2=\langle\xi,x^*x\xi\rangle=\|x\xi\|^2.

Thus aξ↦xξa\xi\mapsto x\xi is a well-defined isometry from ran⁡a\operatorname{ran}a onto ran⁡x\operatorname{ran}x. It extends to an isometry from ran⁡a‾\overline{\operatorname{ran}a} onto ran⁡x‾\overline{\operatorname{ran}x}. Define vv to be that isometry on the first space and zero on its orthogonal complement ker⁡a\ker a, using H01. Then x=vax=va; v∗vv^*v is the projection onto ran⁡a‾\overline{\operatorname{ran}a}, and vv∗vv^* is the projection onto ran⁡x‾\overline{\operatorname{ran}x}.

This operator belongs to MM. For ε>0\varepsilon>0, put

vε=x(a+ε1)−1∈M.v_\varepsilon=x(a+\varepsilon1)^{-1}\in M.

The inverse belongs to MM by H01 and the positive-inverse argument of H02. The continuous calculus and the C*-identity give

∥vε∥2=∥a2(a+ε1)−2∥=max⁡s∈σ(a)s2(s+ε)2≤1.\|v_\varepsilon\|^2 =\|a^2(a+\varepsilon1)^{-2}\| =\max_{s\in\sigma(a)}\frac{s^2}{(s+\varepsilon)^2}\le1.

On ker⁡a\ker a, both vεv_\varepsilon and vv vanish. On a vector aξa\xi,

vεaξ−xξ=−xε(a+ε1)−1ξ,∥xε(a+ε1)−1∥=max⁡s∈σ(a)sεs+ε≤ε.v_\varepsilon a\xi-x\xi =-x\varepsilon(a+\varepsilon1)^{-1}\xi, \qquad \|x\varepsilon(a+\varepsilon1)^{-1}\| =\max_{s\in\sigma(a)}\frac{s\varepsilon}{s+\varepsilon}\le\varepsilon.

Hence vε→vv_\varepsilon\to v strongly on the dense sum of ran⁡a\operatorname{ran}a and ker⁡a\ker a, and then on all of H\mathcal H, by the uniform norm bound. Strong closedness puts vv in MM. This proves the polar decomposition and both its support projections without an unbounded-operator theorem. A bounded operator whose initial projection v∗vv^*v is a projection is called a partial isometry; its final projection is vv∗vv^*.

T04b. Trace bounds for joins of projections

Let τ\tau be a faithful normalized trace on MM, and suppose it preserves bounded increasing positive suprema. For projections p,q∈Mp,q\in M, let p∨qp\vee q be the projection onto pH+qH‾\overline{p\mathcal H+q\mathcal H}. This closed span reduces M′M', so its projection belongs to M′′=MM''=M by H01. It is the least projection dominating pp and qq, by inclusion of ranges.

Apply T04a to x=(1−p)qx=(1-p)q. Its initial projection is at most qq, since xx vanishes on q⊥Hq^\perp\mathcal H. Its final projection is

vv∗=(p∨q)−p.vv^*=(p\vee q)-p.

Indeed pHp\mathcal H is orthogonal to ran⁡x\operatorname{ran}x, and

pH+qH‾=pH⊕ran⁡(1−p)q‾:\overline{p\mathcal H+q\mathcal H} =p\mathcal H\oplus\overline{\operatorname{ran}(1-p)q}:

one inclusion follows from qξ=pqξ+(1−p)qξq\xi=pq\xi+(1-p)q\xi, and the other from (1−p)qξ=qξ−pqξ(1-p)q\xi=q\xi-pq\xi. Traciality and positivity therefore give

τ(p∨q)=τ(p)+τ(vv∗)=τ(p)+τ(v∗v)≤τ(p)+τ(q).(36)\tau(p\vee q) =\tau(p)+\tau(vv^*) =\tau(p)+\tau(v^*v) \le\tau(p)+\tau(q). \tag{36}

For countably many projections (ej)(e_j), their finite initial joins increase to the projection onto the closed span of all their ranges. To see the supremum and strong convergence directly, each vector in this span is approximated by vectors in finite sums of those ranges; the finite-join projections eventually fix each such approximant, and all these projections have norm at most one. On the orthogonal complement they are zero. Thus the limit is that closed-span projection, denoted ⋁jej\bigvee_j e_j, and it belongs to MM. Induction in (36) and order normality of τ\tau yield

τ(⋁jej)≤∑jτ(ej).(37)\tau\left(\bigvee_j e_j\right)\le\sum_j\tau(e_j). \tag{37}

The sum may be infinite; the assertion is useful when it is finite. For the canonical group trace, the required order normality and faithfulness were proved in G01.

T04c. Order-normal functionals and bounded trace-square convergence

A positive linear functional σ\sigma is order normal if σ(yi)↑σ(y)\sigma(y_i)\uparrow\sigma(y) whenever 0≤yi↑y0\le y_i\uparrow y is bounded. Let τ\tau satisfy T04b. We prove that for every operator-norm-bounded sequence (xj)(x_j) in MM,

τ(xj∗xj)⟶0⟹σ(xj)⟶0.(38)\tau(x_j^*x_j)\longrightarrow0 \quad\Longrightarrow\quad \sigma(x_j)\longrightarrow0. \tag{38}

Here σ\sigma is any positive order-normal functional; ultraweak continuity of σ\sigma is not assumed.

First we need a spectral cutoff whose projection is constructed by H02. For a≥0a\ge0 and c>0c>0, let

b=(a−c1)+,e=1−Pker⁡b.b=(a-c1)_+,\qquad e=1-P_{\ker b}.

The positive part is the continuous function s↦max⁡(s−c,0)s\mapsto\max(s-c,0) of aa; H02 puts its support projection ee in MM. The resolvents of bb commute with aa, so ee does too. On ran⁡b\operatorname{ran}b, the quadratic form of a−c1a-c1 is nonnegative because b(a−c1)bb(a-c1)b is the continuous function (s−c)max⁡(s−c,0)2≥0(s-c)\max(s-c,0)^2\ge0 of aa. By continuity the same holds on its closure, eHe\mathcal H. On (1−e)H=ker⁡b(1-e)\mathcal H=\ker b, the identity

a−c1=(a−c1)+−(c1−a)+a-c1=(a-c1)_+-(c1-a)_+

gives a≤c1a\le c1. If ∥a∥≤C2\|a\|\le C^2, these two reducing blocks imply

a≥ce,a≤C2e+c1,τ(e)≤τ(a)/c.(39)a\ge ce,\qquad a\le C^2e+c1,\qquad \tau(e)\le\tau(a)/c. \tag{39}

Every positivity assertion here uses H02's spectral-to-quadratic-form bridge.

Assume first that ∥xj∥≤C\|x_j\|\le C and τ(xj∗xj)≤2−4j\tau(x_j^*x_j)\le2^{-4j}. Apply (39) to aj=xj∗xja_j=x_j^*x_j and cj=2−2jc_j=2^{-2j}, obtaining projections eje_j with

τ(ej)≤2−2j,aj≤C2ej+2−2j1.\tau(e_j)\le2^{-2j},\qquad a_j\le C^2e_j+2^{-2j}1.

Let qk=⋁j≥kejq_k=\bigvee_{j\ge k}e_j. By (37),

τ(qk)≤∑j≥k2−2j⟶0.\tau(q_k)\le\sum_{j\ge k}2^{-2j}\longrightarrow0.

These projections decrease. Their strong limit is the projection onto ⋂kqkH\bigcap_k q_k\mathcal H: apply the increasing-projection argument to 1−qk1-q_k, or use H01 on the orthogonal closed span. Order normality of τ\tau, applied to 1−qk1-q_k, shows that the limit projection has trace zero; faithfulness makes it zero. Thus 1−qk↑11-q_k\uparrow1. Order normality of σ\sigma gives σ(qk)↓0\sigma(q_k)\downarrow0. Since ej≤qje_j\le q_j,

0≤σ(aj)≤C2σ(qj)+2−2jσ(1)⟶0.0\le\sigma(a_j) \le C^2\sigma(q_j)+2^{-2j}\sigma(1)\longrightarrow0.

Positive-functional Cauchy–Schwarz gives

∣σ(xj)∣2≤σ(1)σ(xj∗xj)⟶0.|\sigma(x_j)|^2\le\sigma(1)\sigma(x_j^*x_j)\longrightarrow0.

For completeness, that inequality follows by expanding σ((1+zx)∗(1+zx))≥0\sigma((1+zx)^*(1+zx))\ge0 and minimizing over complex zz; the zero diagonal case follows by varying the phase and magnitude of zz, just as in H02's positive-form proof. Positivity also makes σ(x∗)=σ(x)‾\sigma(x^*)=\overline{\sigma(x)}: self-adjoint elements are differences of positive elements by the continuous positive/negative-part calculus, so they have real values; decomposing xx into its self-adjoint real and imaginary parts gives the assertion. The order bound x∗x≤∥x∥21x^*x\le\|x\|^2 1 then shows ∣σ(x)∣≤σ(1)∥x∥|\sigma(x)|\le\sigma(1)\|x\|, so σ\sigma is bounded.

For a general uniformly bounded sequence with τ(xj∗xj)→0\tau(x_j^*x_j)\to0, suppose (38) failed. Some subsequence would have ∣σ(xj)∣≥δ>0|\sigma(x_j)|\ge\delta>0. Choose a further subsequence whose rr-th trace square is at most 2−4r2^{-4r}. The argument just proved makes its σ\sigma-values tend to zero, a contradiction. This proves (38) for the whole original sequence.

T04. Order-normal group traces and abstract isomorphisms

Let GG be a countable ICC group, M=L(G)M=L(G), and σ\sigma a normalized order-normal tracial state on MM. For x∈Mx\in M, T03 constructs finite convex averages aja_j of group-unitary conjugates of xx, with ∥aj∥≤∥x∥\|a_j\|\le\|x\| and

∥(aj−τM(x)1)δe∥⟶0.\|(a_j-\tau_M(x)1)\delta_e\|\longrightarrow0.

By G02 this is trace-square convergence. T04c therefore gives σ(aj−τM(x)1)→0\sigma(a_j-\tau_M(x)1)\to0. Traciality makes σ(aj)=σ(x)\sigma(a_j)=\sigma(x), and normalization makes σ(τM(x)1)=τM(x)\sigma(\tau_M(x)1)=\tau_M(x). Consequently

σ(x)=τM(x)(x∈M).(40)\sigma(x)=\tau_M(x)\qquad(x\in M). \tag{40}

Thus the canonical group trace is the unique normalized order-normal trace. The preceding argument used positivity and order normality, rather than assuming ultraweak continuity of σ\sigma.

Now let θ:M→N\theta:M\to N be an abstract surjective ∗*-isomorphism between the two countable ICC group factors occurring in the double-coset lesson. Surjectivity makes it unital. It preserves and reflects positivity, since a positive element is a square y∗yy^*y. It is isometric as well: it preserves invertibility and spectra, F04 gives norm equals spectral radius for self-adjoint elements, and the C*-identity gives

∥θ(x)∥2=∥θ(x∗x)∥=∥x∗x∥=∥x∥2.\|\theta(x)\|^2 =\|\theta(x^*x)\|=\|x^*x\|=\|x\|^2.

As an order isomorphism it preserves every bounded increasing positive supremum. Indeed, if yi↑yy_i\uparrow y, then θ(y)\theta(y) is an upper bound of the images; any other upper bound pulls back to an upper bound of all yiy_i, so it dominates θ(y)\theta(y). The canonical trace on NN is order normal by G01. Therefore

σ=τN∘θ\sigma=\tau_N\circ\theta

is a normalized positive order-normal tracial state on MM. Equation (40) proves

τN∘θ=τM.(41)\tau_N\circ\theta=\tau_M. \tag{41}

This supplies trace preservation under the original abstract-isomorphism hypothesis. T08 then constructs its trace-space unitary and transports the MASA complement. The proof needs no prior general theorem equating order normality with ultraweak continuity.

The range-isometry construction in T04a is the bounded polar-decomposition argument in Richard Melrose, 18.102, Chapter 3, Proposition 3.19, printed pages 100–102. The resolvent limit above also proves membership in the algebra. The projection (1−p)q(1-p)q in T04b, the trace bound for joins, the summable tails in T04c and the order-isomorphism argument in T04 are standard methods found in Claire Anantharaman and Sorin Popa, An introduction to II₁ factors, Proposition 2.4.5, Corollary 2.5.9 and Lemmas 7.2.6–7.2.7, printed pages 37, 44 and 104–105. T04c supplies the bounded trace-square continuity needed here using the positive-part and support constructions already proved in H02.

T05a. Character separation from the Banach spectrum

Let D≠0D\ne0 be a unital commutative complex C*-algebra. A character means a unital complex linear multiplicative map χ:D→C\chi:D\to\mathbb C. We prove that such maps are bounded and preserve adjoints, and that for each d∈D∖{0}d\in D\setminus\{0\} there is a character with ∣χ(d)∣=∥d∥|\chi(d)|=\|d\|. In particular characters separate elements.

The spectral inputs are Infinite tensor products, F03 (Neumann inversion; nonempty compact spectrum in a nonzero unital complex Banach algebra with normalized unit; spectral norm bound), F04 (real self-adjoint spectra and the norm spectral-radius equality for normal elements), and F08 (d∗dd^*d has nonnegative spectrum). These are the spectral/calculus inputs to the proof. All ideal and quotient steps used here are supplied below.

CS01. Maximal ideals are closed

An ideal here is a complex linear algebraic ideal. Every proper ideal JJ is contained in a maximal proper ideal. Indeed, order the proper ideals containing JJ by inclusion. The union of a chain is an ideal: any two of its elements lie together in one ideal of the chain, so their sum lies there, and multiplication by any element of DD preserves membership. The union remains proper, because if it contained 11, one member of the chain would contain 11 and equal DD. Zorn's lemma therefore supplies a maximal proper ideal II.

The norm closure I‾\overline I is an ideal. For example, if aj∈Ia_j\in I and aj→aa_j\to a, then for any b∈Db\in D, baj→baba_j\to ba, by ∥b(aj−a)∥≤∥b∥∥aj−a∥\|b(a_j-a)\|\le\|b\|\|a_j-a\|; closure is also a complex linear subspace. This closure is proper. Otherwise it would contain 11, and some i∈Ii\in I would satisfy ∥1−i∥<1\|1-i\|<1. The Neumann series from F03 then makes i=1−(1−i)i=1-(1-i) invertible. Multiplying i∈Ii\in I by its inverse would put 11 in II, contradicting properness. Maximality now gives I‾=I\overline I=I. Thus every maximal proper ideal is norm closed.

CS02. The quotient is a complete normalized Banach algebra

Let II be a closed proper ideal. Give Q=D/IQ=D/I the quotient norm

∥a+I∥Q=inf⁡i∈I∥a+i∥.\|a+I\|_Q=\inf_{i\in I}\|a+i\|.

This is independent of the representative. It is nonnegative, is homogeneous, and satisfies the triangle inequality by adding representatives whose norms approach their respective infima. If ∥a+I∥Q=0\|a+I\|_Q=0, there are ij∈Ii_j\in I with a+ij→0a+i_j\to0, and closedness gives a∈Ia\in I. Hence it is a norm. The quotient map π:D→Q\pi:D\to Q is contractive.

The algebra multiplication (a+I)(b+I)=ab+I(a+I)(b+I)=ab+I is well defined, since changing either representative changes the product by an element of II. For every i,j∈Ii,j\in I,

∥ab+I∥Q≤∥(a+i)(b+j)∥≤∥a+i∥∥b+j∥.\|ab+I\|_Q\le\|(a+i)(b+j)\| \le\|a+i\|\|b+j\|.

Taking the infimum in each representative separately proves submultiplicativity of the quotient norm.

To prove completeness, let (qk)(q_k) be a Cauchy sequence in QQ. Select a subsequence (qkj)(q_{k_j}) with

∥qkj+1−qkj∥Q<2−j(j≥1).\|q_{k_{j+1}}-q_{k_j}\|_Q<2^{-j}\qquad(j\ge1).

For each jj, the definition of the quotient norm supplies a lift bj∈Db_j\in D of this difference with ∥bj∥<21−j\|b_j\|<2^{1-j}. Choose any lift aa of qk1q_{k_1}. The series a+∑j≥1bja+\sum_{j\ge1}b_j converges to an element b∈Db\in D, because DD is complete and the sum of the norm bounds is finite. For every rr,

π(a+∑j=1rbj)=qkr+1.\pi\left(a+\sum_{j=1}^{r}b_j\right)=q_{k_{r+1}}.

Contractivity of π\pi shows that this subsequence converges to π(b)\pi(b). The full sequence does too: given ε>0\varepsilon>0, take a Cauchy tail in which all pairwise distances are below ε/2\varepsilon/2, and a subsequence term in that tail at distance below ε/2\varepsilon/2 from π(b)\pi(b). The triangle inequality bounds every later term's distance from π(b)\pi(b) by ε\varepsilon.

The quotient is nonzero and its unit is 1+I1+I. The C*-identity in DD implies ∥1∥=1\|1\|=1, since ∥1∥2=∥1∥\|1\|^2=\|1\| and 1≠01\ne0. Thus ∥1+I∥Q≤1\|1+I\|_Q\le1. If its quotient norm were below 11, some i∈Ii\in I would have ∥1+i∥<1\|1+i\|<1. F03 would then make −i=1−(1+i)-i=1-(1+i) invertible, again contradicting properness of II. Therefore ∥1+I∥Q=1\|1+I\|_Q=1. We have proved that QQ is a nonzero unital complex Banach algebra with normalized unit, exactly as required to apply F03.

CS03. The maximal quotient consists of scalars

Suppose now that II is maximal proper. Every nonzero element a+Ia+I of QQ is invertible. In fact a∉Ia\notin I, so the ideal I+aDI+aD strictly contains II and must be DD. Consequently 1=i+ab1=i+ab for some i∈Ii\in I, b∈Db\in D, and

(a+I)(b+I)=1+I.(a+I)(b+I)=1+I.

Commutativity gives the inverse on both sides.

Fix q∈Qq\in Q. Its spectrum in QQ is nonempty by F03, applied to the complete normalized Banach algebra of CS02. Choose λ\lambda in that spectrum. The element λ1Q−q\lambda1_Q-q is not invertible. Since every nonzero element of QQ is invertible, it must be zero. Thus q=λ1Qq=\lambda1_Q. This scalar λ\lambda is unique because 1Q≠01_Q\ne0.

The map α:Q→C\alpha:Q\to\mathbb C, defined by α(λ1Q)=λ\alpha(\lambda1_Q)=\lambda, is therefore a unital complex linear algebra isomorphism. Composing with the quotient map gives a character χI=α∘π\chi_I=\alpha\circ\pi of DD, whose kernel is exactly II. This proves the needed scalar-quotient assertion directly from nonemptiness of the Banach-algebra spectrum.

CS04. Characters are bounded and preserve adjoints

For any character χ\chi and any a∈Da\in D, the scalar χ(a)\chi(a) belongs to σD(a)\sigma_D(a). If a−χ(a)1a-\chi(a)1 had an inverse bb, applying the unital multiplicative map χ\chi to (a−χ(a)1)b=1(a-\chi(a)1)b=1 would give 0=10=1. F03's spectral norm bound therefore gives

∣χ(a)∣≤∥a∥.|\chi(a)|\le\|a\|.

Thus χ\chi is bounded with norm at most 11, and χ(1)=1\chi(1)=1 makes its norm exactly 11.

If h=h∗h=h^*, F04 gives a real spectrum, so χ(h)∈R\chi(h)\in\mathbb R. For arbitrary aa, put

h=a+a∗2,k=a−a∗2i.h=\frac{a+a^*}{2},\qquad k=\frac{a-a^*}{2i}.

Then h,kh,k are self-adjoint, a=h+ika=h+ik, and a∗=h−ika^*=h-ik. Complex linearity and the real values of χ(h)\chi(h), χ(k)\chi(k) give

χ(a∗)=χ(h)−iχ(k)=χ(a)‾.\chi(a^*)=\chi(h)-i\chi(k)=\overline{\chi(a)}.

Every character is consequently a bounded unital *-homomorphism. The quotient argument did not need to assume in advance that an algebraic maximal ideal is closed under adjoints; the adjoint assertion is a consequence of this proof.

CS05. Characters detect the norm and separate elements

Fix d≠0d\ne0, and put h=d∗dh=d^*d. The C*-identity gives ∥h∥=∥d∥2>0\|h\|=\|d\|^2>0. By F08, hh has nonnegative spectrum; by F04, its spectral radius is ∥h∥\|h\|. F03 gives compactness and attainment of the maximum spectral modulus. It follows that

t=∥h∥=∥d∥2∈σD(h).t=\|h\|=\|d\|^2\in\sigma_D(h).

The principal ideal J=(h−t1)DJ=(h-t1)D is proper. Indeed, if it contained 11, we would have (h−t1)b=1(h-t1)b=1 for some b∈Db\in D, and commutativity would make bb a two-sided inverse of h−t1h-t1, contradicting t∈σD(h)t\in\sigma_D(h).

By CS01, choose a maximal proper ideal II containing JJ. The character χI\chi_I constructed in CS03 vanishes on h−t1h-t1, hence χI(h)=t\chi_I(h)=t. CS04 gives

∣χI(d)∣2=χI(d∗)χI(d)=χI(d∗d)=t=∥d∥2.|\chi_I(d)|^2 =\chi_I(d^*)\chi_I(d) =\chi_I(d^*d) =t=\|d\|^2.

Thus ∣χI(d)∣=∥d∥>0|\chi_I(d)|=\|d\|>0. Applying the bound in CS04 to all characters, and this norm-detecting character to each nonzero dd, proves

∥d∥=sup⁡χ∣χ(d)∣(d∈D).\|d\|=\sup_{\chi}|\chi(d)|\qquad(d\in D).

Characters exist, since the proper ideal {0}\{0\} can be used in CS01-CS03. For d=0d=0, both sides of the norm identity are zero. If two elements have equal values at every character, apply norm detection to their difference; they must be equal.

CS06. The exact finite-matrix consequence

For finite n≥1n\ge1, apply a character entrywise to obtain

χn:Mn(D)⟶Mn(C),χn((aij))=(χ(aij)).\chi_n:M_n(D)\longrightarrow M_n(\mathbb C), \qquad \chi_n((a_{ij}))=(\chi(a_{ij})).

Complex linearity, multiplicativity, unitality and preservation of adjoints follow entrywise from CS04 and the finite matrix multiplication formula. Scalar-entry matrices show that χn\chi_n is onto. If χn(T)=0\chi_n(T)=0 for every character, every entry of TT vanishes by CS05, so T=0T=0. These are precisely the character properties used in T05's rank and central-support proof. The result concerns the finite matrices and requires no normality assertion about characters.

T05. Finite matrices over an abelian algebra

Let D≠0D\ne0 be a unital abelian C*-algebra and let n≥1n\ge1 be finite. The character-separation proof in T05a gives unital ∗*-characters χ:D→C\chi:D\to\mathbb C which separate elements. Only separation and ∗*-preservation are used below.

Entrywise evaluation defines a surjective ∗*-homomorphism

χn:Mn(D)⟶Mn(C).\chi_n:M_n(D)\longrightarrow M_n(\mathbb C).

Surjectivity follows by using scalar entries. Characters separate matrices, since they separate every entry.

The center of Mn(D)M_n(D) is D1nD1_n. Indeed an element commuting with all constant matrix units has zero off-diagonal entries and equal diagonal entries; conversely d1nd1_n commutes with every matrix because DD is abelian. In particular e11e_{11} is an abelian projection: e11Mn(D)e11≅De_{11}M_n(D)e_{11}\cong D. It has full central support, since a central projection z1nz1_n satisfying (z1n)e11=e11(z1_n)e_{11}=e_{11} must have z=1z=1. All diagonal matrix projections have these properties and are mutually equivalent through the matrix units.

Every isometry v∈Mn(D)v\in M_n(D) is unitary. For every character, χn(v)∗χn(v)=1n\chi_n(v)^*\chi_n(v)=1_n; an isometry on a finite-dimensional space is onto, so χn(v)χn(v)∗=1n\chi_n(v)\chi_n(v)^*=1_n. Character separation gives vv∗=1nvv^*=1_n. Thus this matrix algebra is finite, by the intrinsic definition that its unit is not equivalent to a proper subprojection.

Now let p∈Mn(D)p\in M_n(D) be an abelian projection with full central support. Put pχ=χn(p)p_\chi=\chi_n(p). Evaluating the corner is onto pχMn(C)pχp_\chi M_n(\mathbb C)p_\chi: any matrix in the latter corner is pχBpχp_\chi Bp_\chi, the evaluation of pBppBp with constant matrix BB. Since pMn(D)ppM_n(D)p is commutative, this matrix corner is commutative. A matrix corner of rank rr is Mr(C)M_r(\mathbb C), by choosing an orthonormal basis of its range, and is commutative only for r≤1r\le1. Therefore rank⁡pχ∈{0,1}\operatorname{rank}p_\chi\in\{0,1\}.

Rank zero cannot occur even at a nonnormal character. Put t=∑i=1npii∈Dt=\sum_{i=1}^np_{ii}\in D. Then χ(t)=rank⁡pχ\chi(t)=\operatorname{rank}p_\chi. The element

z=∏k=1n(1−t/k)∈Dz=\prod_{k=1}^n(1-t/k)\in D

has character value 11 when that rank is zero and 00 for every positive possible rank. Hence character separation gives z=z∗=z2z=z^*=z^2, so z1nz1_n is a central projection. Entrywise evaluation also gives (z1n)p=0(z1_n)p=0. Full central support forces z=0z=0. If any character had rank zero, it would have χ(z)=1\chi(z)=1, contradicting z=0z=0. Consequently every pχp_\chi has rank exactly one.

Suppose p1,…,pkp_1,\ldots,p_k are mutually orthogonal abelian projections of full central support, with ∑i=1kpi=1n\sum_{i=1}^kp_i=1_n. Evaluating at any character gives kk orthogonal rank-one projections summing to the identity of Cn\mathbb C^n. Thus k=nk=n. There cannot be an infinite family of such projections: any n+1n+1 of them would already evaluate to n+1n+1 orthogonal rank-one projections in Cn\mathbb C^n.

This is the intrinsic finite matrix-size argument. Equivalence of the projections is allowed, and holds for the standard diagonal family, but does not need to be assumed in the last counting argument. Character evaluation was used only on finite sums; no character was assumed normal and no character was applied to an infinite von Neumann sum.

T06. Finite versus countably infinite multiplicity

Let D,E≠0D,E\ne0 be unital abelian von Neumann algebras, and let n,mn,m be positive integers or countable infinity. Consider

D ⊗ˉ B(ℓ2(n)),E ⊗ˉ B(ℓ2(m)).D\,\bar\otimes\,B(\ell^2(n)),\qquad E\,\bar\otimes\,B(\ell^2(m)).

When nn is finite, the first algebra is Mn(D)M_n(D), and T05 proves it finite. When n=∞n=\infty, let Sδj=δj+1S\delta_j=\delta_{j+1} on ℓ2(N)\ell^2(\mathbb N). Then

(1D⊗S)∗(1D⊗S)=1,(1D⊗S)(1D⊗S)∗=1−1D⊗e11≠1.(1_D\otimes S)^*(1_D\otimes S)=1, \qquad (1_D\otimes S)(1_D\otimes S)^*=1-1_D\otimes e_{11}\ne1.

It contains a proper isometry, so it is not finite. An abstract ∗*-isomorphism preserves the relations defining an isometry and a unitary; consequently the finite and infinite cases cannot be isomorphic.

If both n,mn,m are finite, an isomorphism sends the nn standard diagonal projections of Mn(D)M_n(D) to mutually orthogonal abelian projections of full central support summing to 11 in Mm(E)M_m(E). These properties are intrinsic: a ∗*-isomorphism sends centers onto centers, sends corners isomorphically to corners, and preserves projection order. Full central support means that the only central projection dominating the projection is 11, an assertion preserved by an order isomorphism. T05 in Mm(E)M_m(E) therefore gives n=mn=m. If both are countably infinite then their multiplicity parameters already coincide. These arguments prove preservation of the exact parameter needed in the double-coset lesson without a general type-I classification theorem or projection comparison.

T07. The type-II1 bridge in the affine proposition

H04 proves that a factor with a faithful normalized trace and a nonzero minimal projection is a finite matrix algebra. The following short argument makes its final type assertion valid with the intrinsic type definition using abelian projections.

For any nonzero projection rr in a factor MM, the closed span of the ranges uru∗uru^*, over all unitaries u∈Mu\in M, has a nonzero central projection as its orthogonal projection, by exactly the central-support argument of H04. That projection is 11. If q≠0q\ne0 is another projection and qMr=0qMr=0, then qur=0qur=0 for every such unitary, so qq vanishes on this dense span, a contradiction. Thus qMr≠0qMr\ne0 whenever q,r≠0q,r\ne0.

If a nonzero projection ee has commutative corner eMeeMe, and 0<q<e0<q<e, put r=e−qr=e-q. Then q,r≠0q,r\ne0, but for every x∈Mx\in M,

qxr=q(exe)r=0,qxr=q(exe)r=0,

because qq and rr are orthogonal projections in the commutative corner. This contradicts qMr≠0qMr\ne0. Hence every nonzero abelian projection in a factor is minimal. H04 consequently shows that an infinite-dimensional factor with a faithful normalized trace has no nonzero abelian projections.

A faithful trace also proves finiteness directly. If v∗v=1v^*v=1, traciality gives τ(1−vv∗)=0\tau(1-vv^*)=0; faithfulness makes vv∗=1vv^*=1. Thus its unit is finite, it has no nonzero abelian projection, and its only nonzero central projection 11 itself is a nonzero finite projection. These are exactly the intrinsic definition of type II1\mathrm{II}_1. For an infinite ICC group, the group unitaries are linearly independent (apply a finite linear combination to δe\delta_e), so its faithful tracial factor is infinite dimensional and the argument applies. This supplies the type assertion in the original affine Proposition 3.1 without invoking classification.

T08. Transporting the MASA multiplicity block

Let θ:M→N\theta:M\to N carry one of the two group MASAs onto the other. T04 gives τNθ=τM\tau_N\theta=\tau_M. Therefore

Uθ(xΩM)=θ(x)ΩNU_\theta(x\Omega_M)=\theta(x)\Omega_N

preserves inner products on the dense trace vectors: their inner products are τM(x∗y)=τN(θ(x)∗θ(y))\tau_M(x^*y)=\tau_N(\theta(x)^*\theta(y)). Surjectivity of θ\theta makes its range dense, so it extends to a unitary. It intertwines left multiplication and trace conjugation J(xΩ)=x∗ΩJ(x\Omega)=x^*\Omega, and maps the closure of AΩMA\Omega_M onto the closure of θ(A)ΩN\theta(A)\Omega_N. It consequently conjugates the canonical subgroup projection and the left/right-generated commutant, and restricts to an isomorphism of the two complementary commutants.

The already computed complementary commutants are D⊗ˉB(ℓ2(n))D\bar\otimes B(\ell^2(n)) and E⊗ˉB(ℓ2(m))E\bar\otimes B(\ell^2(m)). T06 gives n=mn=m. This proves the pair-isomorphism multiplicity assertion using the abstract isomorphism hypothesis.