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MASAs in expected semifinite subfactors

Written by GPT-6.1 Sol (OpenAI), Ultra. Course exposition: CC0-1.0 to the extent of rights held. Earlier programme and human-source notices retain their own terms.

An abelian algebra can be maximal inside a subfactor and still commute with extra operators in the ambient algebra. The pinching test lets us rule out those extra operators during an increasing matrix construction. Its diagonal will be a MASA in the ambient factor, while the matrix permutations guarantee enough normalizers inside the subfactor.

For a unital abelian von Neumann algebra A⊂PA\subset P, write

NP(A)={u∈U(P):uAu∗=A},PP(A)=NP(A)′′.(1)\mathcal N_P(A)=\{u\in\mathcal U(P):uAu^*=A\}, \qquad \mathcal P_P(A)=\mathcal N_P(A)''. \tag{1}

A MASA means A′∩P=AA'\cap P=A. In a factor PP, it is regular if PP(A)=P\mathcal P_P(A)=P, and semiregular if PP(A)\mathcal P_P(A) is a factor. Semiregularity does not require that this factor equal the ambient one.

We prove the semifinite expected-subfactor construction. A conditional expectation in this theorem is normal. Its faithfulness will follow, rather than be assumed. Separability means separable predual. A normal expectation transfers it to the range: ψ↦ψE\psi\mapsto\psi E maps N∗N_* isometrically into M∗M_*, since contractivity gives the upper norm bound and restriction to NN gives the lower bound. Thus N∗N_* is separable whenever M∗M_* is; this justifies the countable matrix reduction as well as the dense trace sequence below. The finite construction and the semifinite matrix reduction are given in full. For the AFD II∞\mathrm{II}_\infty regularity clause we also use finite-corner permanence, supplied by the later finite injective-factor proof.

1. Faithfulness from irreducibility

Lemma 1.1. Let N⊂MN\subset M be unital von Neumann algebras, let NN have a faithful normal state, and suppose N′∩M⊂NN'\cap M\subset N. Every normal conditional expectation E:M→NE:M\to N is faithful.

Proof. Choose a faithful normal state ψ\psi of NN, and put θ=ψE\theta=\psi E. This is a normal state of MM, possibly nonfaithful for now. Its support pp gives

K={x:θ(x∗x)=0}=M(1−p)={x:E(x∗x)=0}.(2)K=\{x:\theta(x^*x)=0\}=M(1-p) =\{x:E(x^*x)=0\}. \tag{2}

The last equality uses positivity and faithfulness of ψ\psi. Here the support formula can be obtained directly. If a≥0a\ge0 and θ(a)=0\theta(a)=0, the increasing functions min⁡{1,na}≤na\min\{1,na\}\le na converge strongly to its support, whose state value is therefore zero by normality. Finite joins of state-null projections are null: their join is the support of their positive sum. The join qq of all null projections is also null, by normality on the directed finite joins. Now θ(x∗x)=0\theta(x^*x)=0 implies that the support of x∗xx^*x is below qq, hence x=xqx=xq. Conversely x=xqx=xq implies 0≤x∗x≤∥x∥2q0\le x^*x\le\|x\|^2q and thus θ(x∗x)=0\theta(x^*x)=0. Consequently the null left ideal is MqMq, and p=1−qp=1-q is the support in (2). If a∈Na\in N, bimodularity gives E((xa)∗xa)=a∗E(x∗x)a=0E((xa)^*xa)=a^*E(x^*x)a=0 for x∈Kx\in K. Hence KK is invariant under right multiplication by NN. Taking x=1−px=1-p, and then a∗a^*, shows

(1−p)ap=0=pa(1−p).(1-p)ap=0=pa(1-p).

Thus 1−p∈N′∩M⊂N1-p\in N'\cap M\subset N. But E(1−p)=0E(1-p)=0 by (2), while EE fixes NN. Therefore p=1p=1, making θ\theta, and consequently EE, faithful. □\square

This argument is valid for nonfactor algebras under its stated relative-commutant condition. Normality enters the support formula for the composed state.

2. The finite expected-subfactor theorem

Theorem 2.1. Let MM have separable predual, and let N⊂MN\subset M be an irreducible II1\mathrm{II}_1 subfactor, meaning N′∩M=C1N'\cap M=\mathbb C1. Suppose a normal expectation E:M→NE:M\to N exists. There are

A⊂R⊂N,R≅⨂ˉj≥1(M2,tr⁡2),(3)A\subset R\subset N,\qquad R\cong \bar\bigotimes_{j\ge1}(M_2,\operatorname{tr}_2), \tag{3}

such that AA is a MASA in MM and regular in RR. It is therefore semiregular in NN. If NN is AFD, the construction can have R=NR=N, making AA regular in NN.

Proof. With the normalized trace τ\tau of NN, let φ=τE\varphi=\tau E. Lemma 1.1 makes it faithful and normal. Bimodularity and traciality give

φ(ax)=τ(aE(x))=τ(E(x)a)=φ(xa)(a∈N,x∈M),(4)\varphi(ax)=\tau(aE(x))=\tau(E(x)a)=\varphi(xa) \quad(a\in N,x\in M), \tag{4}

so N⊂MφN\subset M_\varphi.

Choose a φ\varphi-norm dense sequence (xj)(x_j) in the unit ball of MM. One way to obtain it is to start with a countable weak* dense subset of that ball, available from separability of the predual, and take rational convex combinations. Their GNS vectors are weakly dense and hence norm dense by convex separation.

We construct increasing dyadic matrix factors Fn⊂NF_n\subset N, with diagonals AnA_n, satisfying

An⊂An+1,∥(TAn−SAn)(xj)∥φ<2−n(j≤n).(5)A_n\subset A_{n+1},\qquad \|(T_{A_n}-S_{A_n})(x_j)\|_\varphi<2^{-n} \quad(j\le n). \tag{5}

Their embeddings will be tensor embeddings compatible with the diagonals. Start with F0=C1F_0=\mathbb C1. Suppose Fn≅MdF_n\cong M_d, with units eije_{ij}, has been chosen. Set e=e11e=e_{11}.

The corner commutant lemma gives

(eNe)′∩eMe=Ce.(6)(eNe)'\cap eMe=\mathbb Ce. \tag{6}

The corner state is φe=d φ∣eMe\varphi_e=d\,\varphi|_{eMe}, because φ(e)=1/d\varphi(e)=1/d. Apply the equal-atom gap theorem there to the finite set

zij=e1ixjei1(1≤i≤d, 1≤j≤n+1).(7)z_{ij}=e_{1i}x_j e_{i1}\quad (1\le i\le d,\ 1\le j\le n+1). \tag{7}

It gives a dyadic diagonal B⊂eNeB\subset eNe, of as large a size as needed, whose gap on each zijz_{ij} is below 2−(n+1)2^{-(n+1)} in φe\varphi_e-norm. Complete its equal atoms to dyadic matrix units fstf_{st} in eNeeNe. Define the larger full matrix algebra by

E(i,s),(j,t)=ei1fste1j.(8)E_{(i,s),(j,t)}=e_{i1}f_{st}e_{1j}. \tag{8}

Multiplication verifies the matrix-unit relations. Summing over ss recovers each old eije_{ij}; its diagonal refines the old diagonal.

For any x∈Mx\in M, only the old diagonal corners survive this new pinching. Transport each of them to eMeeMe by e1i,ei1e_{1i},e_{i1}. Since these matrix units lie in the centralizer, the gap identity is

∥(TAn+1−SAn+1)(x)∥φ2=1d∑i=1d∥(TB−SB)(e1ixei1)∥φe2.(9)\|(T_{A_{n+1}}-S_{A_{n+1}})(x)\|_\varphi^2 =\frac1d\sum_{i=1}^d \|(T_B-S_B)(e_{1i}xe_{i1})\|_{\varphi_e}^2. \tag{9}

The scalar expectation coefficients are unchanged by this transport: both the numerator and its atom weight acquire the same factor. Thus (7) and (9) prove (5) at the next stage. Choose the new matrix size strictly larger than the old one at every stage.

Put A=(⋃nAn)′′A=(\bigcup_n A_n)'', R=(⋃nFn)′′R=(\bigcup_n F_n)''. The gap projections are contractions, so (5) and density extend their convergence to every x∈Mx\in M. Theorem 2.1 of the pinching lesson makes AA a MASA in MM.

The matrix embeddings in (8) identify Fn+1F_{n+1} with Fn⊗GnF_n\otimes G_n, where GnG_n is the propagated first-corner matrix algebra commuting with FnF_n. Their diagonals have the same tensor form. Each finite diagonal permutation, and every diagonal phase unitary, therefore normalizes every later diagonal and its closure AA. These unitaries generate FnF_n, so

R⊂PN(A).(10)R\subset\mathcal P_N(A). \tag{10}

The matrix-stage expectation theorem proves the scalar-center assertion from a given faithful trace. We also give the finite-stage calculation and tensor identification here. Put dn=dim⁡(Fn)1/2d_n=\dim(F_n)^{1/2}, and, with its matrix units eij(n)e_{ij}^{(n)}, define on RR

Qn(x)=dn∑i,j=1dnτ(eji(n)x)eij(n).(MC1)Q_n(x)=d_n\sum_{i,j=1}^{d_n}\tau(e_{ji}^{(n)}x)e_{ij}^{(n)}. \tag{MC1}

This is the trace-preserving expectation onto the actual stage FnF_n. Here are its full finite checks. The matrix-unit identities show Qn∣Fn=id⁡FnQ_n|_{F_n}=\operatorname{id}_{F_n}, bimodularity, and τ(y∗Qn(x))=τ(y∗x)\tau(y^*Q_n(x))=\tau(y^*x) for every y∈Fny\in F_n. For x≥0x\ge0, its scalar coefficient matrix is positive: for any scalar column (ci)(c_i), its quadratic form is dnτ(xvv∗)≥0d_n\tau(xvv^*)\ge0, where v=∑iciei1(n)v=\sum_i c_i e_{i1}^{(n)}. If x≤∥x∥1x\le\|x\|1, the same calculation gives 0≤Qn(x)≤∥x∥10\le Q_n(x)\le\|x\|1, using τ(vv∗)=∑i∣ci∣2/dn\tau(vv^*)=\sum_i|c_i|^2/d_n. Positivity and bimodularity then give

0≤Qn((x−Qn(x))∗(x−Qn(x)))=Qn(x∗x)−Qn(x)∗Qn(x).0\le Q_n((x-Q_n(x))^*(x-Q_n(x))) =Q_n(x^*x)-Q_n(x)^*Q_n(x).

Thus QnQ_n is contractive. Its finitely many normal trace pairings give normality. The pairing identity makes it the orthogonal projection onto FnΩτF_n\Omega_\tau in trace GNS space.

These finite-dimensional subspaces increase to RΩτ‾\overline{R\Omega_\tau}, by bounded strong density of ⋃nFn\bigcup_n F_n and normality of the trace. Hence Qn(x)Ωτ→xΩτQ_n(x)\Omega_\tau\to x\Omega_\tau for every x∈Rx\in R. For x∈Z(R)x\in Z(R), bimodularity puts Qn(x)Q_n(x) in Z(Fn)=C1Z(F_n)=\mathbb C1; trace preservation gives Qn(x)=τ(x)1Q_n(x)=\tau(x)1. The limit and faithfulness therefore give x=τ(x)1x=\tau(x)1, proving that RR is a factor.

Write dn=2Knd_n=2^{K_n}. The strictly growing stages have Kn↑∞K_n\uparrow\infty. Split each commuting increment Gn≅M2Kn+1−KnG_n\cong M_{2^{K_{n+1}-K_n}} into exactly Kn+1−KnK_{n+1}-K_n tensor legs M2M_2, using its chosen matrix units and their binary indices. Equation (8) makes these identifications compatible with the preceding stages and diagonals. The normalized trace on every stage is the product trace. The resulting isomorphism of the algebraic unions is trace preserving, hence an isometry for their trace-GNS inner products. Both unions are dense in their GNS completions, so the isometry extends to a unitary; it intertwines every finite-stage left multiplier. Taking their von Neumann closures in the faithful normal trace-GNS representations gives exactly (3), without an external uniqueness theorem for factors. Because A⊂RA\subset R, any element of R′∩NR'\cap N belongs to A′∩N=AA'\cap N=A, and then to R∩R′=Z(R)=CR\cap R'=Z(R)=\mathbb C. Hence Z(PN(A))⊂R′∩N=CZ(\mathcal P_N(A))\subset R'\cap N=\mathbb C, proving semiregularity. The same normalizers generate RR itself, proving regularity there.

For the AFD clause, take also a τ\tau-norm dense sequence (yj)(y_j) in the unit ball of NN. The finite corner eNeeNe is AFD by the finite AFD corner theorem. Having chosen the first-corner dyadic matrix algebra with diagonal BB, apply the exact containment lemma inside eNeeNe. Enlarge it to a dyadic matrix algebra GG approximating every entry

e1iyjek1(1≤i,k≤d, j≤n+1)(11)e_{1i}y_j e_{k1}\quad(1\le i,k\le d,\ j\le n+1) \tag{11}

to corner 22-norm error below 2−(n+1)/d2^{-(n+1)}/\sqrt d. Choose a diagonal of GG extending BB: a unital matrix inclusion splits as the old matrix algebra tensored with its matrix relative commutant. Its gap can only decrease under this diagonal refinement.

Use GG instead of the original corner algebra in (8). The resulting Fn+1F_{n+1} still satisfies (5), while entry orthogonality gives

∥yj−EFn+1(yj)∥22=1d∑i,k∥e1iyjek1−EG(e1iyjek1)∥2,e2<4−(n+1).(12)\|y_j-E_{F_{n+1}}(y_j)\|_2^2 =\frac1d\sum_{i,k} \|e_{1i}y_j e_{k1}-E_G(e_{1i}y_j e_{k1})\|_{2,e}^2 <4^{-(n+1)}. \tag{12}

The expectations here are trace preserving. Thus RR contains the entire dense sequence and equals NN. Its matrix normalizers make AA regular in NN. □\square

The same first-corner matrix algebra is propagated into every old row; diagonal gaps and all-entry trace errors have different sums.

Figure 1. Equation (8) propagates the entire eMeeMe corner, with identity e=e11e=e_{11}, through the old matrix units. The dd diagonal terms in (9) determine the ambient GNS gap; the d2d^2 entries in (12) determine the trace approximation. Their factors are both 1/d1/d, so the all-entry error budget is divided by d\sqrt d. Formula (MC1) gives finite-stage expectations for the factor and trace-GNS argument. These are full operator corners, not scalar pixels.

3. Splitting the semifinite case

We use the semifinite factor matrix decomposition: a II∞\mathrm{II}_\infty factor with separable predual has a finite projection ee and countable matrix units (eij)(e_{ij}) with e11=ee_{11}=e, ∑ieii=1\sum_i e_{ii}=1, and

N≅B(ℓ2)⊗ˉeNe.(13)N\cong B(\ell^2)\bar\otimes eNe. \tag{13}

Here eNeeNe is II1\mathrm{II}_1. The projection and trace inputs are explicit: choose a finite projection of trace one, take infinitely many orthogonal equivalent copies, and compare their infinite sum with 11 by the sigma-finite infinite projection theorem. A partial isometry carrying that sum to 11 transports the copies and gives the displayed system.

The same matrix units split the ambient algebra:

M≅B(ℓ2)⊗ˉeMe,(14)M\cong B(\ell^2)\bar\otimes eMe, \tag{14}

compatibly with (13). For completeness, on a faithful representation the unitary

W:eH⊗ℓ2⟶H,W(ζ⊗δi)=ei1ζ(15)W:eH\otimes\ell^2\longrightarrow H,\qquad W(\zeta\otimes\delta_i)=e_{i1}\zeta \tag{15}

identifies MM with the bounded matrices whose entries e1ixej1e_{1i}xe_{j1} belong to eMeeMe. Finite coordinate compressions converge strongly and generate the spatial tensor product. Restricting the same argument to NN proves compatibility. This is a matrix decomposition, not a decomposition by classification of factors.

Theorem 3.1. Let MM be a factor with separable predual and N⊂MN\subset M a semifinite subfactor with N′∩M=CN'\cap M=\mathbb C. If a normal conditional expectation M→NM\to N exists, then NN contains a MASA AA which is maximal abelian in MM and semiregular in NN. If NN is AFD, AA can be chosen regular in NN.

Proof. If NN is type I, choose its finite or countable full matrix units with a minimal first projection ee. The corner lemma gives (eNe)′∩eMe=Ce(eNe)'\cap eMe=\mathbb Ce; since eNe=CeeNe=\mathbb Ce, this forces eMe=CeeMe=\mathbb Ce. The matrix decomposition then gives M=NM=N. Its atomic diagonal is a MASA, and permutations of its atoms together with diagonal unitaries generate NN. Thus it is regular.

If NN is II1\mathrm{II}_1, Theorem 2.1 applies. Otherwise use (13)–(14). Bimodularity restricts the normal expectation to eMe→eNeeMe\to eNe, and (6) gives irreducibility in that corner. Theorem 2.1 provides a MASA A1⊂eNeA_1\subset eNe maximal abelian in eMeeMe, and an AFD factor R1R_1 containing it with R1′∩eNe=CR_1'\cap eNe=\mathbb C.

Let D⊂B(ℓ2)D\subset B(\ell^2) be the atomic diagonal and set

A=D⊗ˉA1.(16)A=D\bar\otimes A_1. \tag{16}

An operator commuting with AA first commutes with all its coordinate projections, hence is block diagonal. Each diagonal entry commutes with A1A_1 in eMeeMe, so lies in A1A_1. The bounded collection of those entries belongs to D⊗ˉA1D\bar\otimes A_1. Thus AA is a MASA in MM.

Finite coordinate permutations normalize AA, as do the unitaries 1⊗v1\otimes v for v∈NeNe(A1)v\in\mathcal N_{eNe}(A_1). Therefore its normalizer algebra contains

B(ℓ2)⊗ˉR1.(17)B(\ell^2)\bar\otimes R_1. \tag{17}

The relative commutant of this factor in NN is 1⊗(R1′∩eNe)=C1\otimes(R_1'\cap eNe)=\mathbb C, by the tensor commutation theorem. Its normalizer algebra is consequently a factor, so AA is semiregular.

If NN is AFD, finite-corner permanence makes eNeeNe AFD. Then the final clause of Theorem 2.1 allows R1=eNeR_1=eNe, and (17) is all of NN. This proves regularity. □\square

The finite-corner permanence input for an AFD II∞\mathrm{II}_\infty factor follows from AFD-to-injectivity, corner permanence of injectivity, and the finite injective-factor theorem. Its complete proof later in the course supplies the final regularity step. The matrix reduction above uses only the independent projection comparison input; the finite regularity proof in Theorem 2.1 uses the earlier finite corner and containment results.

4. MASAs in a state centralizer

Corollary 4.1. Let MM be a factor with separable predual and φ\varphi a faithful normal state such that

(Mφ)′∩M=C.(18)(M_\varphi)'\cap M=\mathbb C. \tag{18}

Then MφM_\varphi contains a MASA which is maximal abelian in MM and semiregular in MφM_\varphi.

Proof. The centralizer has a faithful normal tracial state φ∣Mφ\varphi|_{M_\varphi}, hence is finite. Its center lies in the relative commutant in (18), so it is a factor. SE1 identifies it exactly as the fixed algebra of the state modular group, and SE4–SE5 constructs a normal φ\varphi-preserving expectation onto it. Apply Theorem 3.1, or directly Theorem 2.1 in its type II case. □\square

This corollary keeps the irreducible-centralizer hypothesis. It does not assert that every state centralizer is a factor or contains a MASA of the ambient algebra.

5. Exercises with complete solutions

Exercise 1. Why does the kernel argument in Lemma 1.1 need normality?

Solution. The composed state θ=ψE\theta=\psi E must be normal to have a support projection with null left ideal M(1−p)M(1-p). That concrete ideal identifies the right-invariance condition with commutation of pp and NN. No such normal support argument is provided for a singular retraction.

Exercise 2. Verify the centralizer calculation (4) without assuming MM finite.

Solution. For a∈Na\in N, expectation bimodularity gives E(ax)=aE(x)E(ax)=aE(x) and E(xa)=E(x)aE(xa)=E(x)a. Applying the normalized trace of NN gives equal scalar values. This is exactly the definition of a∈Mφa\in M_\varphi, irrespective of the type of MM.

Exercise 3. Multiply the matrix units in (8).

Solution. Since e1jek1=δjkee_{1j}e_{k1}=\delta_{jk}e and fstfuv=δtufsvf_{st}f_{uv}=\delta_{tu}f_{sv}, the product of E(i,s),(j,t)E_{(i,s),(j,t)} and E(k,u),(l,v)E_{(k,u),(l,v)} is δjkδtuE(i,s),(l,v)\delta_{jk}\delta_{tu}E_{(i,s),(l,v)}. Adjoints interchange the index pairs. Their diagonal sum is ∑iei1(∑sfss)e1i=1\sum_i e_{i1}(\sum_s f_{ss})e_{1i}=1.

Exercise 4. Explain the normalization 1/d1/d in (9).

Solution. The old minimal projection has state value 1/d1/d. The normalized corner state is therefore φe=dφ\varphi_e=d\varphi. Transport by ei1e_{i1} preserves the unnormalized φ\varphi-norm because the matrix units are in the centralizer. Each corner squared norm is 1/d1/d times its normalized counterpart; the mutually orthogonal diagonal corners then add.

Exercise 5. Why do the old matrix permutations normalize the final diagonal, rather than merely the current finite one?

Solution. Each later embedding is obtained by propagating the same first-corner algebra across all old rows. It identifies the new diagonal with the old diagonal tensored with a commuting new diagonal. An old permutation changes only its old coordinate and preserves every later tensor diagonal. Passing to their generated von Neumann algebra proves the final normalization.

Exercise 6. Distinguish regularity in RR from semiregularity in NN in Theorem 2.1.

Solution. The constructed finite matrix normalizers generate RR, so AA is regular there. Inside NN, the full normalizer algebra may be larger. It contains RR, whose relative commutant in NN is scalar, and therefore has scalar center. That proves it is a factor, which is the semiregularity assertion; equality with NN is not inferred.

Exercise 7. Derive R′∩N=CR'\cap N=\mathbb C from A⊂RA\subset R and the MASA property.

Solution. An element commuting with RR commutes with AA, hence belongs to AA by maximal abelianness in NN. Since A⊂RA\subset R, it also belongs to R∩R′=Z(R)R\cap R'=Z(R). This center is scalar.

Exercise 8. Why does enlarging the first-corner matrix algebra in the AFD clause preserve the ambient gap estimate?

Solution. Choose a diagonal of the enlarged algebra containing the earlier diagonal BB. Its scalar expectation projection increases and its commutant expectation projection decreases. The resulting gap projection is below the old one, by (5) of the pinching lesson. Every prescribed gap norm therefore remains within its bound.

Exercise 9. Check the sum and normalization in (12).

Solution. There are d2d^2 entries and the ambient squared norm equals 1/d1/d times their normalized corner squared norms. If each error is below α/d\alpha/\sqrt d, their total is below d−1d2(α2/d)=α2d^{-1}d^2(\alpha^2/d)=\alpha^2. Set α=2−(n+1)\alpha=2^{-(n+1)}.

Exercise 10. Prove directly that D⊗ˉA1D\bar\otimes A_1 in (16) is maximal abelian.

Solution. Commutation with every coordinate projection pi⊗1p_i\otimes1 makes an operator block diagonal. Its ii-th diagonal entry lies in eMeeMe and commutes with A1A_1, hence belongs to A1A_1. A uniformly bounded sequence of entries in A1A_1 is precisely an element of the product diagonal algebra D⊗ˉA1D\bar\otimes A_1.

Exercise 11. Show that the infinite atomic diagonal of B(ℓ2)B(\ell^2) is regular.

Solution. Its projections pip_i belong to the normalizer algebra, since every diagonal unitary normalizes it and these generate the diagonal. For a finite permutation unitary uu sending basis jj to basis ii, piupj=eijp_iup_j=e_{ij}. Thus every finite matrix unit belongs to the normalizer algebra. Finite matrix compressions converge strongly to each bounded operator, so it is all of B(ℓ2)B(\ell^2).

Exercise 12. Explain why (18) makes the centralizer a finite factor.

Solution. The restricted state is faithful, normal and tracial, so the centralizer is finite. Every central element of the centralizer commutes with that algebra inside MM, hence belongs to the scalar relative commutant in (18). Its center is therefore scalar. Neither conclusion needs the ambient state to be tracial.

Reading and prerequisites

Sorin Popa, On a problem of R. V. Kadison on maximal abelian *-subalgebras in factors, INCREST preprint 41/1981, May 1981, second version. Theorem 1 and its complete construction, printed pp.1–2 and 10–13 (PDF pp.5–6 and 14–17), treat a finite tracial ambient factor. Corollary 3.1, printed p.14 (PDF p.18), treats a semifinite ambient factor by common matrix coordinates. The construction here uses the state τE\tau E in a finite corner of an expected subfactor, so its ambient algebra may be nontracial. Faithfulness, normal-state supports, coherent corner transport and the complete type I endpoints are proved explicitly.

Claire Anantharaman and Sorin Popa, An introduction to II₁ factors, author draft, Section 11.2, printed pp.185–188 (PDF pp.191–194), gives the dyadic and compatible-matrix approximation and product-trace GNS methods. The matrix-stage expectation theorem proves the scalar-center step from a given trace, separately from the MASA construction. The finite AFD clause uses the complete earlier corner and exact-containment proofs. The AFD II∞\mathrm{II}_\infty clause uses AFD-to-injectivity, compressed completely positive retractions and the independently proved finite injective-factor theorem. The faithful-state expectation and exact fixed-algebra/centralizer identity are supplied by SE1–SE5. Every projection, corner and approximation input retains its stated scope.

Countability and the matrix-coordinate proofs

For any positive unital bimodular conditional expectation, contractivity follows directly from its algebraic identities:

0≤E((x−E(x))∗(x−E(x)))=E(x∗x)−E(x)∗E(x)≤∥x∥21−E(x)∗E(x).0\le E((x-E(x))^*(x-E(x))) =E(x^*x)-E(x)^*E(x)\le\|x\|^2 1-E(x)^*E(x).

Thus ∥E(x)∥≤∥x∥\|E(x)\|\le\|x\|. This proves the norm bound used in the predual transfer for arbitrary algebras, as well as the corresponding finite-stage bound in (MC1).

Faithful states and dense test sequences. A nonzero algebra with separable predual has a faithful normal state. Indeed choose a countable norm-dense family (ρn)(\rho_n) in the positive predual unit ball and form ω=∑n2−nρn\omega=\sum_n2^{-n}\rho_n, then divide by ω(1)>0\omega(1)>0. If 0≠a≥00\ne a\ge0, a positive normal vector functional is nonzero on aa. After normalization, a sufficiently close ρn\rho_n is also positive on aa, so ω(a)>0\omega(a)>0. The norm-convergent sum belongs to the complete predual. This proves faithfulness without a separability assumption on the represented Hilbert space.

The predual embedding at the beginning of the lesson therefore makes NN countably decomposable: for every orthogonal family of nonzero projections, their positive state values have finite subsums at most one, and only finitely many can exceed any fixed positive threshold. This also makes any type I factor occurring here a finite or countably infinite matrix algebra. Compression preserves separability of the predual: a normal functional on eNeeNe extends by a↦ρ(eae)a\mapsto\rho(eae), isometrically, and restriction is the inverse on that image.

For the finite construction, the unit ball of M=(M∗)∗M=(M_*)^* is compact metrizable in its weak-star topology: countably many norm-dense predual tests determine that topology on this bounded ball. Choose a countable dense set there. The map x↦xΩφx\mapsto x\Omega_\varphi is weakly continuous on the ball, first against bΩφb\Omega_\varphi by the normal pairing φ(b∗x)\varphi(b^*x), then against every vector by density and the uniform bound. Its image is weakly compact and convex. The rational convex hull of the chosen countable image is norm dense in this image, because a norm-closed convex subset of a Hilbert space is weakly closed by separation. The corresponding rational convex combinations remain in the operator unit ball. They give exactly the φ\varphi-norm dense sequence used in (5). The same argument with the trace gives the tests in (11).

Filling the semifinite unit by equivalent finite projections. Here is the projection argument behind (13). In a type II∞\mathrm{II}_\infty factor, choose a nonzero finite projection ff. The complement of any finite sum of finite projections is infinite: otherwise the finite-join theorem would make the identity finite. Factor comparison therefore lets another copy of ff fit in that complement; the alternative comparison would make an infinite projection subequivalent to a finite one. Inductively obtain orthogonal fn∼ff_n\sim f, and put q=∑n≥0fnq=\sum_{n\ge0}f_n.

Choose vn∗vn=f0v_n^*v_n=f_0, vnvn∗=fnv_nv_n^*=f_n. Orthogonal addition of the partial isometries vn+1vn∗v_{n+1}v_n^* gives an isometry in qNqqNq with initial projection qq and final projection q−f0q-f_0. Thus qq is infinite. Its corner is a factor, by the corner-center isomorphism, so qq is properly infinite. Its central support in NN is one. The countably decomposable infinite-projection comparison PC7 now gives 1≾q1\precsim q; inclusion gives the reverse subequivalence. Mutual subequivalence gives q∼1q\sim1. Transporting the whole family through a partial isometry from qq onto 11 produces a filling family of mutually equivalent finite projections. Rename the first projection ee. Connecting all the projections to ee gives the countable matrix units in (13). The finite factor eNeeNe has its faithful normal normalized trace by the finite-factor trace construction. No global finite trace on NN is used.

All joins, polar decompositions, orthogonal sums, finite joins and mutual subequivalence in this argument are proved in PC1–7. In particular countability is used on the source projection 11 in the comparison; it is not inferred for an arbitrary ambient representation.

The two algebras have the same matrix coordinates. With the matrix units just obtained, the map WW in (15) is isometric on finite vector sums, since its ranges eiiHe_{ii}H are orthogonal. Their strong sum is the identity, so it is onto and hence unitary. For x∈Mx\in M, the entries are exactly e1ixej1∈eMee_{1i}xe_{j1}\in eMe. If pJ=∑i∈Jeiip_J=\sum_{i\in J}e_{ii} for a finite coordinate set, then pJxpJ→xp_Jxp_J\to x strongly. Every such compression is the finite matrix with those entries. Conversely every matrix generator with an entry in eMeeMe belongs to MM. Taking the von Neumann closures proves (14); using entries in eNeeNe proves (13) in the very same coordinates.

The normal expectation restricts by bimodularity to a unital normal expectation Ee:eMe→eNeE_e:eMe\to eNe, with identity ee. The corner commutant lemma gives (eNe)′∩eMe=Ce(eNe)'\cap eMe=\mathbb Ce. The state for the finite construction is τeEe\tau_e E_e on this corner. Lemma 1.1 makes it faithful, and (4) puts eNeeNe in its centralizer. This step uses a finite corner; it does not require that the unital infinite algebra NN lie in a state centralizer of MM.

Compatible finite tensor coordinates. For finite old matrix units, put

ι(a)=∑i=1dei1ae1i(a∈eNe).\iota(a)=\sum_{i=1}^d e_{i1}ae_{1i}\qquad(a\in eNe).

Direct multiplication proves that ι\iota is a unital star homomorphism commuting with the old matrix factor and that

eijι(a)=ei1ae1j.e_{ij}\iota(a)=e_{i1}ae_{1j}.

Thus (8) is an actual tensor embedding, with the old matrix units fixed. The new diagonal is the tensor product of the old diagonal and the propagated first-corner diagonal. Old permutations and diagonal phases therefore normalize every later diagonal and its closure. The diagonal projections together with those permutations generate every old matrix unit, proving the normalizer inclusion (10).

The product in (3) is the trace-GNS von Neumann closure of the algebraic finite tensor products of M2M_2. Splitting each dyadic increment into its binary matrix legs gives a trace-preserving isomorphism of the actual algebraic unions, with the identity and all diagonals respected. Inner products are their product traces, so the isomorphism extends to a unitary of the completed GNS spaces. It intertwines left multiplication on a dense subspace and hence everywhere. Faithful normal trace-GNS representations have von Neumann images, so their closures are isomorphic. The factor assertion for the constructed RR follows independently from (MC1): the finite-stage expectations of a central element equal its scalar trace, while their GNS vectors converge to that element. This establishes the tensor identification and the center computation at precisely the scope needed in Theorem 2.1.

Finite-corner injectivity and the product diagonal

The AFD corner in the infinite case. The directed finite-dimensional generation theorem gives injectivity of an AFD NN. In a faithful representation choose a unital completely positive retraction P:B(H)→NP:B(H)\to N, supplied by the projection criterion for injectivity. Identify B(eH)B(eH) with its zero extension eB(H)eeB(H)e, and set

Pe(T)=eP(T)e(T∈B(eH)).P_e(T)=eP(T)e\qquad(T\in B(eH)).

Zero extension, PP and compression are completely positive at every matrix size. Also Pe(e)=eP_e(e)=e, and Pe(a)=aP_e(a)=a for a∈eNea\in eNe. Thus PeP_e is a unital completely positive retraction onto eNeeNe; it need not be normal for this injectivity conclusion. The corner is a finite II1\mathrm{II}_1 factor with separable predual. The finite injective-factor theorem makes it locally AFD, and the finite exact-containment theorem gives the dyadic approximations required in Theorem 2.1. This proves the infinite AFD regularity clause using the full independent finite approximation route.

In the finite AFD clause, exact containment is applied to the span of all d2d^2 entries of the finitely many prescribed operators. Its tolerance can be divided by the maximum of their operator norms and by the fixed corner normalization, so every entry has the error stated before (12). A diagonal extending BB is obtained from the matrix relative commutant of the unital inclusion. Its refinement decreases the ambient gap projection. Orthogonality of all matrix entries gives the d−1d^{-1} factor in (12), retaining every earlier diagonal constraint at the same time.

Bounded product diagonals and their commutants. If (ai)(a_i) is a uniformly bounded family in A1A_1, the finite sums ∑i∈Jpi⊗ai\sum_{i\in J}p_i\otimes a_i converge strongly to its block-diagonal operator. They belong to D⊗ˉA1D\bar\otimes A_1, so their limit does too. This proves the product-diagonal membership used in (16), as well as the reverse inclusion. Commutation with all pi⊗1p_i\otimes1 removes the off-diagonal entries, and the MASA property of A1A_1 puts each remaining entry in A1A_1.

For the relative commutant in (17), an operator commuting with every matrix unit of B(ℓ2)⊗1B(\ell^2)\otimes1 has all off-diagonal entries zero and all diagonal entries equal to one a∈eNea\in eNe. Commutation also with 1⊗R11\otimes R_1 gives a∈R1′∩eNe=Ca\in R_1'\cap eNe=\mathbb C. Thus that relative commutant is scalar. Every central element of the normalizer algebra commutes with the contained B(ℓ2)⊗ˉR1B(\ell^2)\bar\otimes R_1, so its center is scalar. When A1A_1 is regular in eNeeNe, these same normalizers generate the full B(ℓ2)⊗ˉeNe=NB(\ell^2)\bar\otimes eNe=N.

Finally a faithful normal tracial state makes its unit finite: if v∗v=1v^*v=1 and vv∗≤1vv^*\le1, then φ(1−vv∗)=0\varphi(1-vv^*)=0, and faithfulness gives vv∗=1vv^*=1. Together with the scalar relative commutant in (18), this proves that the state centralizer is a finite factor. SE1 identifies its fixed algebra and SE4–SE5 supplies its normal state-preserving expectation, so all the finite and type I cases of Corollary 4.1 are covered.