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Semiregular MASAs and scalar pinching

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.

A semiregular MASA has enough normalizers to match any two of its projections of equal trace. Compatible matches build finite matrix algebras whose diagonals approximate the entire MASA. Their closure is an irreducible AFD subfactor. A coupled finite Fourier basis makes each chosen matrix stage scalar on a conjugate MASA; finite partitions in that MASA give scalar pinching for an ambient finite list.

We use the relative pinching preparation, and the expected-subfactor construction. Finite trace expectations, TL3, constructs the normal, ucp, bimodular expectation onto every unital subalgebra and identifies it with the trace-GNS orthogonal projection. TL4 proves the intersection assertion for decreasing trace spaces by bounded operator clusters. These are finite tracial arguments. Factor and separability hypotheses are stated separately for each result.

Let NN be a II1\mathrm{II}_1 factor, τ\tau its normalized trace, and A⊂NA\subset N a semiregular MASA. Put

G=NN(A),P=G′′.(1)G=\mathcal N_N(A),\qquad P=G''. \tag{1}

By definition PP is a factor, and A⊂PA\subset P is a MASA. In this section separability is unnecessary.

A partial normalizer is a partial isometry v∈Pv\in P with initial and final projections in AA and

vAv∗⊂A,v∗Av⊂A.(2)vAv^*\subset A,\qquad v^*Av\subset A. \tag{2}

Products of partial normalizers are partial normalizers. For v,wv,w, their intermediate support projections v∗vv^*v and ww∗ww^* lie in AA, so they commute. Thus w∗(v∗v)ww^*(v^*v)w and v(ww∗)v∗v(ww^*)v^* are projections in AA, the initial and final supports of vwvw. The inclusions follow by applying wAw∗⊂AwAw^*\subset A and then vAv∗⊂AvAv^*\subset A, and likewise for the adjoints.

Equal atoms with a controlled trace transfer

A MASA in a II1\mathrm{II}_1 factor is diffuse. If ee were an atom of AA, then Ae=CeAe=\mathbb Ce. Every x∈eNex\in eNe would commute with AeAe, and it annihilates A(1−e)A(1-e) on both sides. Thus it would commute with all of AA, belong to AA by maximal abelianness, and hence lie in Ce\mathbb Ce. This would make ee minimal in NN, contradicting type II.

For later use, a diffuse abelian finite algebra has projections of any prescribed trace between zero and the trace of its identity. To see this, partially order the projections of trace at most tt by inclusion. Normality gives an upper bound to every chain. A maximal member whose trace is less than tt could be enlarged by a sufficiently small nonzero projection in its complement. Such small projections exist by repeatedly splitting a nonzero projection and choosing a piece of at most half its trace. This contradiction proves exact trace tt.

Lemma 2.1. In a diffuse abelian finite algebra BB, a finite set can be approximated arbitrarily well in normalized 22-norm by a diagonal algebra generated by 2k2^k equal-trace atoms. Its size can be made arbitrarily large.

Proof. Normalize the finite normal trace τ\tau defining the 22-norm to one. It suffices to work on its support ss. Indeed, the join zz of all trace-zero projections has trace zero: every finite join has trace zero in this abelian algebra, and normality applies to their increasing net. On s=1−zs=1-z, the trace is faithful and BsBs is still diffuse. A partition of ss into equal positive-trace pieces extends to a partition of 11 by adding zz to one piece; extend each simple function with that piece's coefficient on zz. This changes no 22-norm error. We now work in BsBs, writing its identity as 11.

Choose a joint finite spectral partition p1,…,pℓp_1,\ldots,p_\ell, omitting zero members, and simple functions sj=∑icjipis_j=\sum_i c_{ji}p_i with ∥xj−sj∥≤η\|x_j-s_j\|\le\eta. This can be done for every η>0\eta>0: partition the bounded spectra of the real and imaginary parts of all the xjx_j's into sufficiently short intervals and intersect their commuting spectral projections. Put ti=τ(pi)>0t_i=\tau(p_i)>0, so ∑iti=1\sum_i t_i=1.

For q=2kq=2^k so large that qti≥1qt_i\ge1 for all ii, start with ⌊qti⌋\lfloor qt_i\rfloor. The remaining integer

r=q−∑i⌊qti⌋,0≤r<ℓ,r=q-\sum_i\lfloor qt_i\rfloor,\qquad 0\le r<\ell,

is filled by adding one to rr distinct entries. The resulting positive integers mim_i sum to qq, and ∣mi/q−ti∣≤1/q|m_i/q-t_i|\le1/q.

For each excess atom cut ci≤pic_i\le p_i of trace (ti−mi/q)+(t_i-m_i/q)_+, using the exact diffuse trace cuts. Their sum cc has trace

T=∑i(ti−mi/q)+=12∑i∣ti−mi/q∣≤ℓ2q.(DP1)T=\sum_i(t_i-m_i/q)_+ =\frac12\sum_i|t_i-m_i/q|\le\frac{\ell}{2q}. \tag{DP1}

Cut this same cc successively into mutually orthogonal did_i's of traces (mi/q−ti)+(m_i/q-t_i)_+, assigned to the deficit atoms. The equality of the total excess and deficit makes the last remainder have precisely the last required trace. Set ci=0c_i=0 at nonexcess atoms and di=0d_i=0 at nondeficit atoms. Then

pi′=pi−ci+dip_i'=p_i-c_i+d_i

are orthogonal projections summing to one, with τ(pi′)=mi/q\tau(p_i')=m_i/q.

Outside cc, the simple functions sjs_j and sj′=∑icjipi′s_j'=\sum_i c_{ji}p_i' agree. On cc, both have operator norm at most Cj=max⁡i∣cji∣C_j=\max_i|c_{ji}|. Thus

∥xj−sj′∥2≤η+2CjT≤η+2Cjℓ/(2q).(DP2)\|x_j-s_j'\|_2 \le\eta+2C_j\sqrt T \le\eta+2C_j\sqrt{\ell/(2q)}. \tag{DP2}

Here Cj≤∥xj∥+ηC_j\le\|x_j\|+\eta, so choosing η\eta first and then arbitrarily large kk makes every error as small as requested. Finally split pi′p_i' into exactly mim_i subprojections of trace 1/q1/q, again by the exact trace-cut argument. All qq pieces together generate a diagonal algebra containing every sj′s_j'. □\square

Exact trace transfers turn three spectral atoms into eight equal-trace pieces.

Figure 1. In Lemma 2.1, take traces 39/100,34/100,27/10039/100,34/100,27/100 and target multiplicities (3,3,2)(3,3,2) at q=8q=8. Transfer 3/2003/200 from the first atom and 1/501/50 from the third to the second. The moved projection has trace T=7/200T=7/200. Equations (DP1)–(DP2) give the general error bound; the bars depict projection traces in an abelian algebra, without requiring an interval representation.

Matching the chosen atoms inside the normalizer factor

Lemma 1.1. For p,q∈Proj⁡(A)p,q\in\operatorname{Proj}(A),

τ(p)=τ(q)⟺upu∗=q for some u∈G.(3)\tau(p)=\tau(q) \quad\Longleftrightarrow\quad upu^*=q\text{ for some }u\in G. \tag{3}

More generally equal-trace projections have a partial normalizer with precisely those initial and final projections.

Proof. Trace preservation gives necessity. For existence, first note that if p,q≠0p,q\ne0, some u∈Gu\in G has qup≠0qup\ne0. Indeed

r=⋁u∈Gupu∗r=\bigvee_{u\in G}upu^*

is a nonzero projection of AA, invariant under GG, hence central in PP. Factorality gives r=1r=1. If all qupqup were zero, qq would be orthogonal to rr.

For such a uu, qupqup is already a partial isometry: its initial projection is p∧u∗qup\wedge u^*qu, and its final projection is q∧upu∗q\wedge upu^*. Both are nonzero projections of AA; this uses its abelianness. It is a partial normalizer.

Take a maximal family of these partial normalizers with mutually orthogonal initial projections under pp and mutually orthogonal final projections under qq. A finite trace makes this family countable after removing zero members. Their strong sum vv is a partial isometry satisfying (2): the off-diagonal terms in vav∗vav^* vanish because the initial supports are orthogonal projections in AA, and similarly for v∗avv^*av.

The unmatched remainders have equal trace. If either were nonzero, both would be, and the preceding argument would supply another match. Maximality rules this out. Thus v∗v=pv^*v=p, vv∗=qvv^*=q.

Match 1−p1-p with 1−q1-q as well, obtaining ww. Then u=v+wu=v+w is unitary and normalizes AA, since its two domain and range partitions belong to AA. It gives (3). □\square

Lemma 1.2. If 0≠e∈A0\ne e\in A, then AeAe is a regular MASA in the factor ePeePe.

Proof. If x∈ePex\in ePe commutes with AeAe, it also commutes with A(1−e)A(1-e), which it annihilates on both sides. It therefore commutes with AA, belongs to AA by maximal abelianness in PP, and lies in AeAe. This proves corner maximal abelianness directly. The compressed operators eueeue, u∈Gu\in G, span an ultraweakly dense subspace of ePeePe, because GG is a group generating PP. Each v=euev=eue is a partial normalizer of AeAe. Its initial and final supports have equal trace. Apply the matching proof of Lemma 1.1 to their complements inside ee; the resulting partial normalizer lies in ePeePe. Adding it to vv gives a unitary normalizer ueu_e of AeAe, and v=ue(v∗v)v=u_e(v^*v).

Thus every eueeue lies in the algebra generated by the unitary normalizers of AeAe and its projections. The latter projections already belong to that algebra, since the unitaries of AeAe normalize it. Their ultraweak span gives all of ePeePe. □\square

Propagating one diagonal through all old matrix rows

Theorem 2.2. If NN has separable predual and A⊂NA\subset N is a semiregular MASA, there is an AFD II1\mathrm{II}_1 subfactor

A⊂R⊂P⊂N,R′∩N=C.(4)A\subset R\subset P\subset N,\qquad R'\cap N=\mathbb C. \tag{4}

The constructed AA is regular in RR.

Proof. The normal expectation EA:N→AE_A:N\to A makes ψ↦ψEA\psi\mapsto\psi E_A an isometric embedding A∗→N∗A_*\to N_*: contractivity gives one inequality, and restriction back to AA gives the other. Thus A∗A_* is separable. The bounded-ball weak* density and rational convex-combination argument in Theorem 5.1 gives a 22-norm dense sequence (aj)(a_j) in the unit ball of AA; that argument uses only the faithful finite trace and separable predual. We construct increasing dyadic matrix factors Fn⊂PF_n\subset P, with diagonal An⊂AA_n\subset A, such that their matrix units are partial normalizers of AA and

dist⁡2(aj,An)<2−n(j≤n).(5)\operatorname{dist}_2(a_j,A_n)<2^{-n}\quad(j\le n). \tag{5}

Start with F0=C1F_0=\mathbb C1. Suppose Fn≅MdF_n\cong M_d, with units eije_{ij}, is chosen. Put e=e11e=e_{11}. Every a∈Aa\in A is diagonal with respect to the old partition, and the partial normalizer property puts

bij=e1iajei1∈Ae(1≤i≤d, j≤n+1).(6)b_{ij}=e_{1i}a_j e_{i1}\in Ae \quad(1\le i\le d,\ j\le n+1). \tag{6}

Choose equal dyadic atoms f1,…,fsf_1,\ldots,f_s in AeAe whose diagonal BB approximates this finite list in normalized corner 22-norm below 2−(n+1)2^{-(n+1)}, by Lemma 2.1.

Lemma 1.1 matches f1f_1 with each ftf_t by a partial normalizer vt∈ePev_t\in ePe; take v1=f1v_1=f_1. Then fst=vsvt∗f_{st}=v_s v_t^* are full matrix units with the chosen diagonal and retain the partial normalizer property. Propagate them across the old rows:

E(i,s),(j,t)=ei1fste1j.(7)E_{(i,s),(j,t)}=e_{i1}f_{st}e_{1j}. \tag{7}

Products of partial normalizers retain (2). These units generate a dyadic factor Fn+1F_{n+1} containing FnF_n, with diagonal An+1⊂AA_{n+1}\subset A. Reconstruct each aja_j by its diagonal entries (6), using their simple-function approximants in BB. Their errors are orthogonal, and the ambient squared 22-norm is 1/d1/d times the sum of the normalized corner squared norms. This proves (5) at the next stage. Choose s≥2s\ge2.

Let R=(⋃nFn)′′R=(\bigcup_n F_n)''. Apply the explicit finite-stage projections from the matrix-stage expectation theorem to these actual FnF_n's and the faithful trace restricted from NN. The formula Qn(x)=dn∑i,jτ(eji(n)x)eij(n)Q_n(x)=d_n\sum_{i,j}\tau(e_{ji}^{(n)}x)e_{ij}^{(n)}, dn=2Knd_n=2^{K_n}, is the normal trace-preserving projection onto FnF_n, with its full positivity, bimodularity, contractivity and GNS checks given there. Its GNS projections increase to the identity on RΩτ‾\overline{R\Omega_\tau}. For x∈Z(R)x\in Z(R), bimodularity gives Qn(x)=τ(x)1Q_n(x)=\tau(x)1; their limit and faithfulness make x=τ(x)1x=\tau(x)1. Thus RR is a factor directly.

The relative commutant of FnF_n in Fn+1F_{n+1} is the unital diagonal copy of the chosen first-corner factor: f↦∑iei1fe1if\mapsto\sum_i e_{i1}fe_{1i}. Matrix multiplication in (7) identifies Fn+1F_{n+1} with Fn⊗M2Kn+1−KnF_n\otimes M_{2^{K_{n+1}-K_n}}, so this copy is precisely the relative commutant and has identity 11, although the original corner has identity ee. Split its binary matrix indices into exactly Kn+1−KnK_{n+1}-K_n commuting M2M_2 legs. These identifications are compatible with every previous stage. The algebraic union has the product trace, so its trace-preserving isomorphism with the dyadic tensor union extends to a GNS unitary intertwining all local left multipliers. Their von Neumann closures give R≅RhyperfiniteR\cong R_{\mathrm{hyperfinite}}. The matrix sizes grow without bound, so this finite factor is of type II1\mathrm{II}_1. In the reconstruction for (5), use the trace expectation EB(bij)E_B(b_{ij}) for each entry; its nearest-point property preserves the error bound and its contractivity bounds the reconstructed operator by ∥aj∥\|a_j\|. Equation (5) therefore puts A⊂RA\subset R, since bounded 22-norm convergence is strong convergence on the finite trace representation and RR is closed.

Every finite permutation of the matrix diagonal is a sum of the partial normalizers in (7); it is therefore a unitary normalizer of the whole AA. Together with diagonal phases these permutations generate each FnF_n, hence RR. Thus AA is regular in RR.

Finally, if x∈R′∩Nx\in R'\cap N, it commutes with AA, so x∈A⊂Rx\in A\subset R. Factorality of RR gives x∈Z(R)=Cx\in Z(R)=\mathbb C, proving (4). □\square

The diagonals in this construction are chosen in the current first corner and then transported to the other rows. This is the compatibility needed for induction. An arbitrary list of previously chosen Bernoulli coordinate projections need not remain in the commutant of earlier matrix units; no such membership is assumed here.

Scalar pinching through a coupled Fourier diagonal

Theorem 3.1. Let MM be a II1\mathrm{II}_1 factor with separable predual, let τ\tau be its normalized trace, and let N⊂MN\subset M be a unital subfactor with N′∩M=CN'\cap M=\mathbb C. For a finite F⊂MF\subset M and ε>0\varepsilon>0, there is a finite partition e1,…,ere_1,\ldots,e_r of 11 in NN such that

(∑x∈F∥∑i=1reixei−τ(x)1∥22)1/2<ε.(8)\left(\sum_{x\in F} \left\|\sum_{i=1}^r e_i x e_i-\tau(x)1\right\|_2^2 \right)^{1/2}<\varepsilon. \tag{8}

Neither NN nor MM is assumed AFD.

Proof. All expectations below are the normal trace-preserving expectations constructed in TL3. A type I subfactor NN would have matrix coordinates M≅N⊗‾(N′∩M)M\cong N\mathbin{\overline\otimes}(N'\cap M). Irreducibility would give M=NM=N, contrary to type II. Thus NN is II1\mathrm{II}_1. Its predual is separable: ψ↦ψEN\psi\mapsto\psi E_N embeds N∗N_* isometrically in M∗M_*.

Apply the expected-subfactor construction to obtain a MASA AA of MM contained in NN and semiregular there. Theorem 2.2 supplies an irreducible dyadic AFD subfactor R⊂NR\subset N containing AA, with AA regular in RR. Use its actual increasing full matrix stages Fn≅MdnF_n\cong M_{d_n}, dn=2Knd_n=2^{K_n}, and diagonals An⊂AA_n\subset A. Their matrix units partially normalize all of AA, their union generates RR, and the union of the AnA_n's generates AA.

We first construct a conjugate BB of AA whose expectation makes a prescribed matrix stage exactly scalar. Fix Fn≅MdF_n\cong M_d, with d≥2d\ge2. Choose a later stage FmF_m with Km≥2KnK_m\ge2K_n. The compatible binary matrix legs from Theorem 2.2 give

Fm=Fn⊗G⊗H,G≅Md,H≅Mh,Am=Dd⊗Dd⊗Dh,(9) F_m=F_n\otimes G\otimes H,\qquad G\cong M_d,\qquad H\cong M_h, \qquad A_m=D_d\otimes D_d\otimes D_h, \tag{9}

where DrD_r is the ordinary matrix diagonal and h=dm/d2h=d_m/d^2 is a positive integer. These identifications follow from the chosen first-corner propagation: the new first-corner diagonal is transported through every old row, so both the matrix tensor identification and its diagonal agree with the earlier stages. Split the later relative matrix factor into its first KnK_n binary legs and its remaining legs to obtain GG and HH.

In the standard representation of Fn⊗GF_n\otimes G, index both bases by Z/dZ\mathbb Z/d\mathbb Z, put ζ=exp⁡(2πi/d)\zeta=\exp(2\pi i/d), and set

ξab=1d∑j=0d−1ζaj ej⊗ej+b(a,b∈Z/dZ). \xi_{ab}=\frac1{\sqrt d}\sum_{j=0}^{d-1} \zeta^{aj}\,e_j\otimes e_{j+b} \qquad(a,b\in\mathbb Z/d\mathbb Z).

These d2d^2 vectors form an orthonormal basis. The inner product vanishes when the second indices bb differ; when they agree it is d−1∑jζ(a′−a)j=δaa′d^{-1}\sum_j\zeta^{(a'-a)j}=\delta_{aa'}. Let U∈Fn⊗G⊂FmU\in F_n\otimes G\subset F_m send the standard tensor basis to this basis, and let it act as the identity on HH. For every x∈Fnx\in F_n,

⟨ξab,(x⊗1)ξab⟩=1d∑j⟨ej,xej⟩=τ(x). \langle\xi_{ab},(x\otimes1)\xi_{ab}\rangle =\frac1d\sum_j\langle e_j,xe_j\rangle =\tau(x).

Indeed the inner products of ej+be_{j+b} and ek+be_{k+b} remove all terms with j≠kj\ne k. This identity holds for every matrix xx, including its off-diagonal entries.

On FmF_m, the expectation EAE_A is exactly its matrix diagonal expectation onto AmA_m. To check this, it fixes each diagonal matrix unit, while bimodularity by the distinct diagonal projections makes its value on every off-diagonal unit zero. Therefore the preceding basis calculation, also for each diagonal index of HH, gives

EA(U∗xU)=τ(x)1(x∈Fn). E_A(U^*xU)=\tau(x)1\qquad(x\in F_n).

Put B=UAU∗B=UAU^*. It remains a MASA in MM, and it lies in RR. Conjugating the trace expectation identifies EB(x)=UEA(U∗xU)U∗E_B(x)=U E_A(U^*xU)U^*, as can also be checked from its trace pairings with every element of BB. Consequently

EB(x)=τ(x)1(x∈Fn).(10) E_B(x)=\tau(x)1\qquad(x\in F_n). \tag{10}

We now choose the stage for the given finite list. The projections EFnE_{F_n} on trace GNS space increase to ERE_R, by the bounded-density argument of MX1. Thus yx=EFn(x)y_x=E_{F_n}(x) can be chosen, for one sufficiently large nn, so that

(∑x∈F∥ER(x)−yx∥22)1/2<ε/2. \left(\sum_{x\in F}\|E_R(x)-y_x\|_2^2\right)^{1/2} <\varepsilon/2.

Construct BB for this stage. Since B⊂RB\subset R, the nested orthogonal projection identity gives EBER=EBE_B E_R=E_B. Equation (10), trace preservation and contractivity then show

(∑x∈F∥EB(x)−τ(x)1∥22)1/2<ε/2.(11) \left(\sum_{x\in F}\|E_B(x)-\tau(x)1\|_2^2\right)^{1/2} <\varepsilon/2. \tag{11}

In particular the part orthogonal to RR has zero BB-expectation; no separate refinement is required to control it.

Finally use the finite diagonal algebras Ck=UAkU∗⊂BC_k=UA_kU^*\subset B. They increase and generate BB. Write their minimal projections as e1(k),…,erk(k)e_1^{(k)},\ldots,e_{r_k}^{(k)}. Their pinching maps

Tk(x)=∑iei(k)xei(k) T_k(x)=\sum_i e_i^{(k)}x e_i^{(k)}

are the trace expectations onto Ck′∩MC_k'\cap M. The range assertion follows by checking commutation with each diagonal projection, and the trace pairing with an element of that commutant identifies the expectation. These commutants decrease to B′∩M=BB'\cap M=B.

Here is the full bounded limit argument. Their Hilbert projections decrease to the projection onto the intersection of their closed ranges. This follows from ∥pkξ−plξ∥2=∥pkξ∥2−∥plξ∥2\|p_k\xi-p_l\xi\|^2=\|p_k\xi\|^2-\|p_l\xi\|^2 for l≥kl\ge k, which makes each projected vector Cauchy and identifies its limit in every range. For bounded xx, the operators Tk(x)T_k(x) have norm at most ∥x∥\|x\|. An ultraweak cluster point belongs to every Ck′∩MC_k'\cap M, hence to BB. Its normal GNS pairings identify its vector with the projection limit. Pairing also with each element of BB makes that cluster point EB(x)E_B(x). It follows that

∥Tk(x)−EB(x)∥2⟶0.(12) \|T_k(x)-E_B(x)\|_2\longrightarrow0. \tag{12}

Choose one kk so that the square sum of these errors over the finite set has square root below ε/2\varepsilon/2. The triangle inequality in the Hilbert direct sum, together with (11), gives

(∑x∈F∥Tk(x)−τ(x)1∥22)1/2<ε.(13) \left(\sum_{x\in F}\|T_k(x)-\tau(x)1\|_2^2\right)^{1/2} <\varepsilon. \tag{13}

The selected partition belongs to B⊂R⊂NB\subset R\subset N, as required. An empty list or a list consisting of scalars already admits the partition {1}\{1\}. □\square

The finite coupled basis makes a whole matrix stage scalar at once. A single partition limit in its conjugate MASA then treats the ambient finite list. Only the actual compatible matrix stages and the trace expectation calculus enter this construction.

4. Exercises with complete solutions

Exercise 1. Prove that the orbit join rr in Lemma 1.1 belongs to Z(P)Z(P).

Solution. Every orbit projection belongs to the abelian algebra AA, so their join belongs to A⊂PA\subset P. A normalizer permutes the orbit and fixes the join, hence rr commutes with every normalizer. Those unitaries generate PP, so r∈P′∩P=Z(P)r\in P'\cap P=Z(P).

Exercise 2. Compute the initial and final projections of qupqup.

Solution. Since pp and u∗quu^*qu are projections of the same abelian algebra, their product is their meet. Thus (qup)∗(qup)=pu∗qup=p∧u∗qu(qup)^*(qup)=p u^*qu p=p\wedge u^*qu. The reverse product is qupu∗q=q∧upu∗q u p u^*q=q\wedge upu^*. These products are projections, making qupqup a partial isometry.

Exercise 3. Why does a finite trace make the nonzero members of the matching family countable?

Solution. Their nonzero initial supports have positive traces and are mutually orthogonal under pp. For each integer kk, only finitely many can have trace at least 1/k1/k. Every positive trace is at least 1/k1/k for some kk, so the family is a countable union of finite sets.

Exercise 4. Show that the strong sum of orthogonal partial normalizers still satisfies (2).

Solution. If vi∗vi=piv_i^*v_i=p_i are orthogonal in AA, then for a∈Aa\in A the cross term viavj∗=vipiapjvj∗=0v_i a v_j^*=v_i p_i a p_jv_j^*=0 when i≠ji\ne j. Thus vav∗vav^* is the bounded strong sum of elements viavi∗∈Av_i a v_i^*\in A, and lies in AA. Orthogonal final supports give the reverse inclusion in (2) by the same argument.

Exercise 5. Explain why a MASA of a type II finite factor cannot have an atom.

Solution. If ee were an atom, Ae=CeAe=\mathbb Ce. The corner relative commutant identity gives (Ae)′∩eNe=Ae(Ae)'\cap eNe=Ae. But a scalar corner algebra commutes with all of eNeeNe, so eNe=CeeNe=\mathbb Ce. That makes ee a minimal projection of NN, contrary to type II.

Exercise 6. Why are the entries in (6) in AeAe?

Solution. The matrix unit e1ie_{1i} is a partial normalizer of AA, so e1iajei1∈Ae_{1i}a_j e_{i1}\in A. Its left and right support are below e11=ee_{11}=e. Hence it belongs to AeAe. This is stronger than membership in the ambient corner algebra.

Exercise 7. Check that a finite matrix permutation built from partial normalizers normalizes all of AA.

Solution. For u=∑ieσ(i),iu=\sum_i e_{\sigma(i),i}, its initial supports partition 11 in AA. In uau∗uau^*, the mixed terms vanish because aa commutes with those supports. Each diagonal term belongs to AA by the partial normalizer property, so uAu∗⊂AuAu^*\subset A. Apply the same argument to u∗u^* to obtain equality.

Exercise 8. Why can the next diagonal not be chosen as an arbitrary previously fixed binary coordinate?

Solution. It must lie in the current first corner, and its propagated copies must commute with the old matrix algebra in the specified tensor embedding. Old normalizing unitaries can act nontrivially on any previously fixed unused coordinate. Choosing the partition after pulling the finite approximation targets into the current corner, as in (6), supplies the needed compatibility.

Exercise 9. Let RnR_n be decreasing unital subalgebras of a finite tracial algebra MM, with ⋂nRn=C1\bigcap_nR_n=\mathbb C1. Identify the limit of their trace-GNS projections.

Solution. For bounded xx, the operators ERn(x)E_{R_n}(x) stay bounded. Their GNS projections decrease, so their vectors converge by the decreasing-projection norm identity used in (12). An ultraweak cluster point belongs to every RnR_n, hence is scalar. Trace preservation identifies it as τ(x)1\tau(x)1, and normal GNS pairings identify its vector with that limit. Density of bounded GNS vectors gives the scalar projection on all of L2(M,τ)L^2(M,\tau).

Exercise 10. Suppose Rn⊂R0⊂MR_n\subset R_0\subset M are finite tracial factors, Rn′∩R0=CR_n'\cap R_0=\mathbb C, and yx=ER0(x)y_x=E_{R_0}(x). Explain why pinching the finite list yx−ERn(x)y_x-E_{R_n}(x) using the known irreducibility must be performed inside R0R_0.

Solution. The displayed relative commutant is computed in R0R_0. The list belongs to R0R_0, and nested trace expectations give ERn(yx−ERn(x))=0E_{R_n}(y_x-E_{R_n}(x))=0. Thus it lies in the kernel required by simultaneous relative pinching in that ambient algebra. The stated hypotheses do not assert Rn′∩M=CR_n'\cap M=\mathbb C; that commutant may be larger. An application in MM would therefore need a separate premise. This is a scope test for relative pinching; Theorem 3.1 uses the coupled-basis route.

Exercise 11. Let a finite partition ee refine a finite partition ff in a finite tracial algebra. Prove that a square-sum bound on Tf(yx)−τ(x)1T_f(y_x)-\tau(x)1 is preserved by TeT_e.

Solution. Every fine projection lies under one coarse projection, so TeTf=TeT_eT_f=T_e. Pinching is the trace-GNS orthogonal projection onto the corresponding block diagonal algebra, and it fixes 11. Hence

∥Te(yx)−τ(x)1∥2≤∥Tf(yx)−τ(x)1∥2.\|T_e(y_x)-\tau(x)1\|_2 \le \|T_f(y_x)-\tau(x)1\|_2.

Squaring and summing over the finite list proves preservation of its square-sum bound.

Exercise 12. Convert a normalized error in a corner fjMfjf_jMf_j to an ambient error, and explain how orthogonal corner errors are added.

Solution. The normalized corner trace is τ(fj)−1τ\tau(f_j)^{-1}\tau. An error of squared normalized norm cj2c_j^2 has squared ambient norm τ(fj)cj2\tau(f_j)c_j^2. Orthogonal diagonal corners have zero cross pairings, so the ambient squared norm of their sum is ∑jτ(fj)cj2\sum_j\tau(f_j)c_j^2. Apply this identity to each input and then sum over the finite list. The estimate depends on the original ambient square-sum norms, rather than on the number of refined pieces.

Reading and prerequisites

Claire Anantharaman and Sorin Popa, An introduction to II₁ factors, author draft. Lemma 12.1.2, printed p.192 (PDF p.198), proves extension of partial normalizers by a maximal orthogonal family. Lemmas 1.1–1.2 above give the complete orbit-join matching argument in the normalizer factor and its corner, without separability. Lemma 2.1 supplies exact diffuse trace cuts and dyadic movements. Proposition 12.1.3 and Corollary 12.1.4, printed p.193 (PDF p.199), describe the finite-partition MASA limit. The complete bounded trace-expectation argument is written in Theorem 3.1.

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 compatible matrix construction, printed pp.10–13 (PDF pp.14–17), build a particular regular MASA in an irreducible AFD subfactor. Theorem 2.2 here instead starts with a given semiregular MASA and transports its chosen first-corner partitions by its own partial normalizers.

The scalar-pinching construction uses the standard finite Fourier basis on two equal matrix factors. Its full orthogonality and compression calculations appear above: every matrix in the first factor has constant diagonal in that coupled basis. Conjugating the ambient MASA by this finite unitary and passing to one of its finite partitions gives the stated approximation. Finite trace expectations and bounded decreasing-range limits are supplied by TL3–TL4; MX1 supplies the finite-stage projection limit and scalar center. The last four exercises retain the decreasing-expectation, relative-commutant, refinement and normalized-corner estimates as independent applications of the same trace calculus.