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Semiregular MASAs and scalar pinching

Written by GPT-6.1 Sol (OpenAI), Ultra, September 2026. Self-checked by the writing AI. New original text: public domain (CC0).

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 second construction, using decreasing irreducible AFD factors, turns finite pinching into simultaneous approximation by the ambient trace.

We use the relative pinching preparation, the expected-subfactor construction, and the already proved decreasing AFD subfactors. General trace expectations are the selected modular-course prerequisite. Factor and separability hypotheses are stated separately for each result.

1. Matching equal-trace projections by normalizers

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}

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. It is maximal abelian by the corner commutant lemma applied to A⊂PA\subset P. 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

2. Choosing diagonals compatibly

A MASA in a II1\mathrm{II}_1 factor is diffuse. If ee were one of its atoms, maximal abelianness in the corner would give eNe=CeeNe=\mathbb Ce, a minimal projection 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. Joint finite spectral partitions approximate the prescribed elements by simple functions on finitely many atoms. Approximate their atom traces by positive dyadic weights with common denominator 2k2^k. Move small subprojections from excess atoms to deficit atoms, using the trace cuts just proved. The total moved trace tends to zero, so the adjusted simple functions retain their 22-norm approximations. Split an adjusted atom of trace mi2−km_i2^{-k} into mim_i pieces of trace 2−k2^{-k}. Their diagonal contains the adjusted simple functions. Increasing kk supplies any required size. □\square

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. Choose a 22-norm dense sequence (aj)(a_j) in the unit ball of AA. 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)''. Its increasing full matrix factors and restricted trace make it a factor, by the finite increasing-factor lemma. The dyadic trace-GNS tensor identification gives R≅RhyperfiniteR\cong R_{\mathrm{hyperfinite}}. 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.

3. Scalar pinching in an irreducible finite subfactor

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. Trace-preserving expectations onto unital subalgebras exist by the modular expectation theorem. If NN is type I, irreducibility and its matrix decomposition force M=NM=N, which is impossible for type II. Thus NN is II1\mathrm{II}_1. The expected-subfactor construction gives an AFD R0⊂NR_0\subset N containing a MASA of MM; consequently R0′∩M=CR_0'\cap M=\mathbb C. Equivalently one can use that MASA and Theorem 2.2.

The decreasing AFD theorem supplies

Rn⊂R0,Rn′∩R0=C,⋂nRn=C.(9)R_n\subset R_0,\qquad R_n'\cap R_0=\mathbb C,\qquad \bigcap_n R_n=\mathbb C. \tag{9}

Their trace GNS projections in L2(M,τ)L^2(M,\tau) decrease to the scalar projection. To identify the intersection, use the bounded cluster argument of the pinching lesson: for x∈Mx\in M, ERn(x)E_{R_n}(x) is bounded, its GNS vectors converge, and any ultraweak cluster point belongs to every RnR_n; the normal pairings identify the vector limit. It follows that

ERn(x)⟶τ(x)1in 2-norm.(10)E_{R_n}(x)\longrightarrow\tau(x)1\quad\text{in }2\text{-norm}. \tag{10}

Choose nn so that the square sum of these errors over FF has square root below ε/4\varepsilon/4.

Put yx=ER0(x)y_x=E_{R_0}(x) and zx=x−yxz_x=x-y_x. Within R0R_0, apply the simultaneous pinching theorem to RnR_n and

yx−ERn(x)∈ker⁡ERn.y_x-E_{R_n}(x)\in\ker E_{R_n}.

Its relative commutant in R0R_0 is scalar, so that theorem applies to this whole kernel. It gives a finite partition f1,…,fs∈Rnf_1,\ldots,f_s\in R_n with

(∑x∈F∥Tf(yx−ERn(x))∥22)1/2<ε/4.(11)\left(\sum_{x\in F} \|T_f(y_x-E_{R_n}(x))\|_2^2\right)^{1/2} <\varepsilon/4. \tag{11}

Here Tf(b)=∑jfjbfjT_f(b)=\sum_j f_jbf_j. For example choose its common relative error below ε/(4(1+Y))\varepsilon/(4(1+Y)), where YY is the square sum norm of the finite list. Its 22-norm contractivity, (10) and (11) yield

(∑x∈F∥Tf(yx)−τ(x)1∥22)1/2<ε/2.(12)\left(\sum_{x\in F}\|T_f(y_x)-\tau(x)1\|_2^2\right)^{1/2} <\varepsilon/2. \tag{12}

It remains to suppress zxz_x, the part outside R0R_0. In each nonzero corner fjMfjf_jMf_j, the algebra fjR0fjf_jR_0f_j is irreducible by the corner commutant lemma. Its trace expectation is the restriction of ER0E_{R_0}, so fjzxfjf_jz_xf_j belongs to its kernel. Apply simultaneous pinching there and refine fjf_j into a finite partition (ejk)⊂fjR0fj(e_{jk})\subset f_jR_0f_j.

Use a common relative error less than ε/(2(1+Z))\varepsilon/(2(1+Z)), where Z=(∑x∈F∥zx∥22)1/2Z=(\sum_{x\in F}\|z_x\|_2^2)^{1/2}. Normalized corner norms are converted to ambient squared norms by multiplying by τ(fj)\tau(f_j). Corner orthogonality and contractivity of TfT_f consequently give, for the combined partition e=(ejk)e=(e_{jk}),

(∑x∈F∥Te(zx)∥22)1/2<ε/2.(13)\left(\sum_{x\in F}\|T_e(z_x)\|_2^2\right)^{1/2} <\varepsilon/2. \tag{13}

If Z=0Z=0, no additional refinements are needed for this estimate.

Since ee refines ff, Te=TeTfT_e=T_eT_f, and TeT_e fixes scalars. Thus (12) stays valid with TeT_e in place of TfT_f. Add that bound and (13) in the Hilbert direct sum over FF. This gives (8). Every selected projection lies in R0⊂NR_0\subset N. □\square

The two refinement stages have different jobs. The first suppresses the nonscalar part already inside R0R_0, after a decreasing expectation has become nearly scalar. The second removes the part orthogonal to R0R_0. Irreducibility inside R0R_0 in the first stage is not replaced by an unsupported irreducibility assertion about RnR_n in MM.

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. Identify the limit of the decreasing projections in (10).

Solution. For a fixed bounded xx, their expected operators remain bounded. A cluster point lies in every RnR_n, hence in C\mathbb C. Trace preservation makes it τ(x)1\tau(x)1. Normal GNS pairings identify its vector with the strong projection limit. Density of bounded vectors gives the scalar projection on all of L2(M,τ)L^2(M,\tau).

Exercise 10. Why is the first application of simultaneous pinching made inside R0R_0?

Solution. The known relative commutant is Rn′∩R0=CR_n'\cap R_0=\mathbb C, which makes its relevant join equal to RnR_n there. The operators yx−ERn(x)y_x-E_{R_n}(x) belong to R0R_0 and have zero expectation onto RnR_n. The proof does not establish Rn′∩M=CR_n'\cap M=\mathbb C, so an ambient application at that stage would not be justified.

Exercise 11. Verify that refinement preserves (12).

Solution. If ee refines ff, every fine projection is under one fjf_j, so TeTf=TeT_eT_f=T_e. Since TeT_e is an orthogonal projection on trace GNS space and fixes 11, ∥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 gives the assertion.

Exercise 12. Convert a normalized corner error to an ambient one in (13).

Solution. In the corner fjMfjf_jMf_j, the normalized trace is τ(fj)−1τ\tau(f_j)^{-1}\tau. An error of squared normalized norm c2c^2 therefore has squared ambient norm τ(fj)c2\tau(f_j)c^2. Multiply each corner estimate by this weight before adding. The total is controlled by the ambient squared norms of the original orthogonal diagonal corners, not by the number of corner partitions.

Reading and prerequisites

Claire Anantharaman and Sorin Popa, An introduction to II₁ factors, author draft. Lemma 12.1.2, printed p.192, proves extension of partial normalizers by a maximal orthogonal family. Lemmas 1.1–1.2 above supply the complete orbit-join matching argument in the normalizer factor and its corner, with no separability assumption. Lemma 2.1 also supplies exact diffuse abelian trace cuts and dyadic movements; no equal-atom approximation is left as an exercise.

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, build a particular regular MASA inside an irreducible AFD subfactor. Here Theorem 2.2 starts with an arbitrary given semiregular MASA, matches its projections by its own partial normalizers, and proves that its entire algebra is contained in the constructed factor. These are distinct hypotheses, justified by the matching and first-corner induction above.

The scalar pinching proof combines the freely accessible finite tracial pinching mechanism with the explicit decreasing AFD construction. That construction uses finite outer actions and Bernoulli mixing. Both refinement stages, their relative commutants, normalized corner errors and the scalar expectation limit are given above, retaining arbitrary irreducible subfactors of a separable finite factor. No AFD assumption on either given factor is added. Trace expectations, projection comparison and bounded trace-GNS topology remain declared foundations; their transitive source verification is pending.