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

From finite approximation to the dyadic factor

Original programme exposition: CC0-1.0 to the extent of rights held.

We prove that every factor of type II1\mathrm{II}_1 with separable predual and finite-dimensional local approximation is normally isomorphic to the dyadic factor RR constructed in FG2. In particular an increasing generating sequence of finite-dimensional algebras gives this conclusion. The whole trace-cut, matrix-projection and exact-containment arguments are supplied below.

Use the complete retained PC0–7/FCT0–7 and NT1–4. Their earlier CF, CP, spectral-calculus and normal-range proofs keep their exact versions and terms. Inner products are linear in the second variable. For a normalized faithful normal trace τ\tau, write ∥x∥2=τ(x∗x)1/2\|x\|_2=\tau(x^*x)^{1/2}. Traciality and positive order give

∥axb∥2≤∥a∥ ∥x∥2 ∥b∥,∥x∗∥2=∥x∥2.(AF0)\|axb\|_2\leq\|a\|\,\|x\|_2\,\|b\|,\qquad \|x^*\|_2=\|x\|_2. \tag{AF0}

For example the right multiplier estimate follows by changing τ(b∗x∗xb)\tau(b^*x^*xb) to τ(x∗xbb∗)\tau(x^*xbb^*) and then testing the positive inequality bb∗≤∥b∥21bb^*\leq\|b\|^2 1 through ∣x∣|x|. NT2 proves that this norm gives intrinsic strong* convergence on bounded sets.

AF1. Finite matrices and their trace projections

Let DD be any finite-dimensional unital star subalgebra of a von Neumann algebra. It is a C-star algebra: finite-dimensional subspaces are norm closed, as follows by minimizing the norm on the Euclidean unit sphere of a chosen basis; its multiplication and involution are inherited. For completeness, this minimization uses compactness of that finite sphere and injectivity of the basis map. It gives a strictly positive minimum, proving equivalence of its coordinate and operator norms.

Every element of DD obeys a polynomial identity because its powers are linearly dependent. The spectrum is therefore finite. If a scalar λ\lambda is not a root of the polynomial identity PP, division P(t)=P(λ)+(t−λ)Q(t)P(t)=P(\lambda)+(t-\lambda)Q(t) gives an inverse for x−λx-\lambda, namely −Q(x)/P(λ)-Q(x)/P(\lambda). For self-adjoint elements the spectrum is real by CF. A function which is one on part of this finite spectrum and zero on the rest is a continuous function there; CF calculus supplies its projection in DD.

There is a nonzero minimal projection below any nonzero projection: whenever a projection is not minimal, cut to a strictly smaller nonzero corner; the dimension of the corner strictly decreases, so this procedure terminates. If pp is minimal, pDp=CppDp=\mathbb Cp, since a nonscalar self-adjoint element in the corner would have at least two spectral values and thus a nonzero proper spectral projection. Real and imaginary parts give the conclusion for all corner elements. Splitting the unit until all summands are minimal terminates too: nonzero orthogonal projections are linearly independent in the finite-dimensional vector space. Thus 1=∑i=1mpi1=\sum_{i=1}^m p_i with minimal pip_i.

Two of these projections either have piDpj=0p_iDp_j=0, or are equivalent inside DD. For a nonzero x∈piDpjx\in p_iDp_j, x∗x=αpjx^*x=\alpha p_j, α>0\alpha>0; the element v=x/αv=x/\sqrt\alpha has initial projection pjp_j, and its nonzero final projection below pip_i is pip_i. Such equivalence is transitive by multiplying the implementing partial isometries. Each equivalence class has sum zz central in DD, because all corners joining different classes are zero. Within a class choose vi∗vi=p1v_i^*v_i=p_1, vivi∗=piv_iv_i^*=p_i, including v1=p1v_1=p_1. Then vivj∗v_iv_j^* are matrix units. Every corner piDpjp_iDp_j is one-dimensional, because compression by vi∗,vjv_i^*,v_j puts it in Cp1\mathbb Cp_1. Hence these matrix units span the entire class corner. We have proved, with no classification premise,

D=⨁k=1rMdk(C).(AF1.1)D=\bigoplus_{k=1}^r M_{d_k}(\mathbb C). \tag{AF1.1}

Suppose now that D⊂MD\subset M, where MM has faithful normal finite trace τ\tau. Put tk=τ(f11(k))>0t_k=\tau(f_{11}^{(k)})>0 for its matrix units. Equivalence and the trace give the same value on each diagonal unit of that block. Finite-dimensional Hilbert projection defines the unique element ED(x)∈DE_D(x)\in D with

τ(a∗ED(x))=τ(a∗x)(a∈D).(AF1.2)\tau(a^*E_D(x))=\tau(a^*x)\qquad(a\in D). \tag{AF1.2}

Indeed the explicit formula is

ED(x)=∑ktk−1∑i,jτ(fji(k)x)fij(k).(AF1.3)E_D(x)=\sum_k t_k^{-1}\sum_{i,j} \tau(f_{ji}^{(k)}x)f_{ij}^{(k)}. \tag{AF1.3}

The matrix units are pairwise orthogonal for the trace inner product, with squared norm tkt_k. This verifies both existence and uniqueness. The formula makes EDE_D normal by NT1's module-functionals argument. It fixes DD, is unital, and is DD-bimodular: test ED(bxc)E_D(bxc) using (AF1.2), move b,cb,c across the trace, use the defining identity for xx, and move them back. Uniqueness gives ED(bxc)=bED(x)cE_D(bxc)=bE_D(x)c.

It is completely positive. For X=[xij]≥0X=[x_{ij}]\geq0 in Mℓ(M)M_\ell(M) and any bi∈Db_i\in D, trace preservation and bimodularity give

τ ⁣(∑i,jbi∗ED(xij)bj)=τ ⁣(∑i,jbi∗xijbj)≥0.\tau\!\left(\sum_{i,j}b_i^*E_D(x_{ij})b_j\right) =\tau\!\left(\sum_{i,j}b_i^*x_{ij}b_j\right)\geq0.

In any chosen block of (AF1.1), choose a unit vector η\eta, and take bib_i to be the rank-one matrix sending η\eta to a prescribed vector ξi\xi_i, zero on η⊥\eta^\perp, and zero in the other blocks. The displayed value is tkt_k times the matrix quadratic form on (ξi)(\xi_i). Since tk>0t_k>0, all these forms are nonnegative in every block. Thus [ED(xij)]≥0[E_D(x_{ij})]\geq0. The Schwarz proof in NT1 gives

ED(x)∗ED(x)≤ED(x∗x)≤∥x∥21.E_D(x)^*E_D(x)\leq E_D(x^*x)\leq\|x\|^2 1.

Consequently EDE_D is an operator-norm contraction. The Hilbert projection identity also gives, for any a∈Da\in D,

∥x−a∥22=∥x−ED(x)∥22+∥ED(x)−a∥22.(AF1.4)\|x-a\|_2^2=\|x-E_D(x)\|_2^2+\|E_D(x)-a\|_2^2. \tag{AF1.4}

In particular it minimizes the 22-norm error. These proofs concern every finite-dimensional subalgebra, including direct sums with unequal block weights; no expectation onto a general infinite-dimensional subalgebra is a premise.

AF2. Trace cuts, projection repair and rounding

In a factor of type II1\mathrm{II}_1, every nonzero projection corner has no abelian projection. PC4 makes the center of that corner scalar; an abelian subcorner would therefore be one-dimensional, making its unit minimal in MM, contrary to type II1\mathrm{II}_1. FCT3's explicit maximal-pair construction halves the unit of any such corner into two equivalent projections. Repeating that construction halves each remaining piece.

If 0<s<τ(p)0<s<\tau(p), expand s/τ(p)s/\tau(p) in binary. At step jj, halve the current remaining dyadic piece, retaining a half of trace τ(p)2−j\tau(p)2^{-j} if the jj-th digit is one and continuing within the other half. The selected pieces are orthogonal; their strong sum belongs to MM by PC1 and has trace ss by normality. The endpoints s=0,τ(p)s=0,\tau(p) use 0,p0,p. This constructs every trace cut. FCT7's trace comparison on a factor gives

τ(p)=τ(q) ⟹ p∼q.(AF2.1)\tau(p)=\tau(q)\ \Longrightarrow\ p\sim q. \tag{AF2.1}

Here is the quantitative projection repair, also valid for arbitrary finite von Neumann algebras when e∼fe\sim f. Put

B=e−f,r=fe+(1−f)(1−e).B=e-f,\qquad r=fe+(1-f)(1-e).

Multiplication gives

re=fr,r∗r=rr∗=1−B2,r+r∗=2(1−B2).(AF2.2)re=fr,\qquad r^*r=rr^*=1-B^2,\qquad r+r^*=2(1-B^2). \tag{AF2.2}

The positive contraction B2B^2 commutes with e,f,re,f,r; positivity and its bound follow as well from its two diagonal blocks e(1−f)ee(1-f)e and (1−e)f(1−e)(1-e)f(1-e). Let k=1{1}(B2)k=1_{\{1\}}(B^2), provided by the complete bounded spectral calculus. On 1−k1-k, the bounded polar construction gives a unitary u0u_0 with r=u0(1−B2)1/2r=u_0(1-B^2)^{1/2}. The positive square root commutes with ee and rr, so the range-isometry definition gives

u0e(1−k)=f(1−k)u0.u_0e(1-k)=f(1-k)u_0.

Equation (AF2.2) shows that the real part of u0u_0 is (1−B2)1/2(1-B^2)^{1/2} on this support. To justify cancellation without an unbounded inverse, multiply their difference by that square root. The result is zero; its range is dense in (1−k)H(1-k)H, so the bounded difference itself is zero. Thus

(u0−(1−k))∗(u0−(1−k))=2((1−k)−(1−B2)1/2)≤2B2(1−k).(AF2.3)(u_0-(1-k))^*(u_0-(1-k)) =2((1-k)-(1-B^2)^{1/2}) \leq2B^2(1-k). \tag{AF2.3}

The last inequality is CF calculus applied to 1−1−t≤t1-\sqrt{1-t}\leq t, 0≤t≤10\leq t\leq1.

On the exceptional support, r=0r=0. Since kk commutes with e,fe,f, its ee-part lies in eH∩(1−f)HeH\cap(1-f)H, and its 1−e1-e-part lies in (1−e)H∩fH(1-e)H\cap fH. Conversely those two intersections have B2=1B^2=1. Hence

k=p+q,p=e∧(1−f),q=(1−e)∧f.k=p+q,\qquad p=e\wedge(1-f),\qquad q=(1-e)\wedge f.

The center-valued traces of e,fe,f agree, and the equivalence implemented on 1−k1-k has equal traces there as well. Subtraction gives equal center-valued traces for p,qp,q. FCT7 supplies a partial isometry vv with v∗v=p,vv∗=qv^*v=p,vv^*=q. Then w=v−v∗w=v-v^* is a skew-adjoint unitary on kk, carries pp to qq, and has (w−k)∗(w−k)=2k(w-k)^*(w-k)=2k. The orthogonal sum u=u0+wu=u_0+w is unitary, and

ueu∗=f,(u−1)∗(u−1)≤2(e−f)2,∥u−1∥2≤2 ∥e−f∥2(AF2.4)ueu^*=f,\qquad (u-1)^*(u-1)\leq2(e-f)^2,\qquad \|u-1\|_2\leq\sqrt2\,\|e-f\|_2 \tag{AF2.4}

when a finite trace is specified. This includes a zero exceptional support.

We also need one spectral rounding estimate. For 0≤h≤10\leq h\leq1, set q=1[1/2,1](h)q=1_{[1/2,1]}(h). Pointwise

∣t−1[1/2,1](t)∣≤2t(1−t).|t-1_{[1/2,1]}(t)|\leq2t(1-t).

Squaring and applying bounded spectral calculus and the positive trace gives

∥h−q∥2≤2∥h−h2∥2.(AF2.5)\|h-q\|_2\leq2\|h-h^2\|_2. \tag{AF2.5}

No statement about higher spectral cutoffs is needed in this route.

AF3. Replace a finite approximant by a dyadic matrix factor

Let D=⨁kMdk⊂MD=\bigoplus_kM_{d_k}\subset M, where MM is a factor of type II1\mathrm{II}_1. Fix η>0\eta>0. Put tk=τ(f11(k))t_k=\tau(f_{11}^{(k)}) and choose pp large, with rk=⌊2ptk⌋>0r_k=\lfloor2^p t_k\rfloor>0. AF2 cuts a projection gk≤f11(k)g_k\leq f_{11}^{(k)} of trace rk2−pr_k2^{-p}, and splits it into rkr_k pieces of trace 2−p2^{-p}. Transport these pieces to every diagonal of that block by fi1(k)f_{i1}^{(k)}. The remaining projection has trace

1−∑kdkrk2−p,1-\sum_kd_kr_k2^{-p},

an integral multiple of 2−p2^{-p}; split it into that many pieces of trace 2−p2^{-p}, with no piece needed if it is zero. All the resulting projections are equivalent by (AF2.1).

Connect a fixed reference piece to the first piece of each transported family by an implementing partial isometry. Connect it to the other pieces of that family using the prescribed block matrix units. Connect it to each leftover piece arbitrarily. The resulting vav_a have a common initial reference and orthogonal final projections summing to one. The elements vavb∗v_av_b^* form a full 2p2^p-matrix system. Its algebra QQ contains every transported connection and therefore

f~ij(k)=fi1(k)gkf1j(k).\widetilde f_{ij}^{(k)}=f_{i1}^{(k)}g_kf_{1j}^{(k)}.

The difference from fij(k)f_{ij}^{(k)} is a partial isometry with initial support fjj(k)f_{jj}^{(k)} minus its transported cut. Hence

∥fij(k)−f~ij(k)∥22=tk−rk2−p<2−p.(AF3.1)\|f_{ij}^{(k)}-\widetilde f_{ij}^{(k)}\|_2^2 =t_k-r_k2^{-p}<2^{-p}. \tag{AF3.1}

Every coefficient of x=∑λij(k)fij(k)x=\sum\lambda_{ij}^{(k)}f_{ij}^{(k)} has modulus at most ∥x∥\|x\|, by its matrix-corner test. Thus, with s=∑kdk2s=\sum_kd_k^2, replacing its matrix units gives an element of QQ with error at most s2−p/2∥x∥s2^{-p/2}\|x\|. AF1's nearest-point property gives

∥x−EQ(x)∥2≤η∥x∥(x∈D)(AF3.2)\|x-E_Q(x)\|_2\leq\eta\|x\|\qquad(x\in D) \tag{AF3.2}

when pp is sufficiently large. It can be chosen above any prescribed integer. The original finite algebra is approximated here; no assertion of exact inclusion of a projection with irrational trace in a dyadic matrix algebra is made.

Suppose MM has local finite-dimensional approximation: every finite set has arbitrarily small 22-norm error in some finite-dimensional star subalgebra. Such an algebra may be made unital by adjoining 11. For every finite-dimensional linear subspace V=span⁡(x1,…,xm)V=\operatorname{span}(x_1,\ldots,x_m), this gives dyadic matrix factors approximating its operator-norm unit ball uniformly. Indeed

CV=sup⁡∥∑jλjxj∥≤1∑j∣λj∣<∞C_V=\sup_{\|\sum_j\lambda_jx_j\|\leq1}\sum_j|\lambda_j|<\infty

by the finite-sphere norm bound proved in AF1. Choose a finite algebra DD so that each ∥xj−ED(xj)∥2\|x_j-E_D(x_j)\|_2 is small. Apply (AF3.2) with an independently small parameter; ∥ED(xj)∥≤∥xj∥\|E_D(x_j)\|\leq\|x_j\|. Adding these two errors and then summing with the coefficients controls the unit ball by CVC_V. This proves the stated uniformity.

AF4. Preserve the previous dyadic algebra exactly

Suppose MM has that local approximation property, and N≅Md⊂MN\cong M_d\subset M is unital, d=2nd=2^n. For a finite-dimensional subspace VV and ε>0\varepsilon>0, we construct a unital dyadic matrix factor Q⊃NQ\supset N with

∥x−EQ(x)∥2≤ε∥x∥(x∈V).(AF4.1)\|x-E_Q(x)\|_2\leq\varepsilon\|x\|\qquad(x\in V). \tag{AF4.1}

Fix matrix units eije_{ij} for NN and put e=e11e=e_{11}. Form

W=Ce+∑i,je1iVej1⊂eMe.W=\mathbb Ce+\sum_{i,j}e_{1i}Ve_{j1}\subset eMe.

AF3 supplies D≅M2pD\cong M_{2^p}, p>np>n, whose trace projection approximates the unit ball of WW to within δ\delta, where δ>0\delta>0 will be chosen small. Set h=ED(e)h=E_D(e). AF1 gives 0≤h≤10\leq h\leq1, and

∥h−e∥2≤δ,∥h−h2∥2≤3δ.\|h-e\|_2\leq\delta,\qquad \|h-h^2\|_2\leq3\delta.

For the second assertion expand h−h2=(h−e)+(e−h)e+h(e−h)h-h^2=(h-e)+(e-h)e+h(e-h) and use (AF0). Rounding by (AF2.5) gives q∈Dq\in D with ∥q−e∥2≤7δ\|q-e\|_2\leq7\delta. Since τ(e)=1/d\tau(e)=1/d, Schwarz gives ∣τ(q)−1/d∣≤7δ|\tau(q)-1/d|\leq7\delta. Enlarge or shrink qq within the matrix algebra to a comparable projection q1q_1 of trace exactly 1/d1/d. This is possible because that trace and τ(q)\tau(q) are integral multiples of 2−p2^{-p}. In ordinary matrix coordinates it just adds or removes the required number of orthogonal rank-one projections. Comparability gives

∥q−q1∥22=∣τ(q)−1/d∣,∥q1−e∥2≤a(δ):=7δ+7δ.(AF4.2)\|q-q_1\|_2^2=|\tau(q)-1/d|,\qquad \|q_1-e\|_2\leq a(\delta):=7\delta+\sqrt{7\delta}. \tag{AF4.2}

Equal traces and (AF2.4) give a unitary uu with uq1u∗=euq_1u^*=e and ∥u−1∥2≤2 a(δ)\|u-1\|_2\leq\sqrt2\,a(\delta).

Choose unital dd-matrix units wijw_{ij} inside DD with w11=q1w_{11}=q_1: divide its defining matrix space into dd blocks of equal dimension, the first being the range of q1q_1. Put

v=∑i=1dei1uw1i.(AF4.3)v=\sum_{i=1}^d e_{i1}u w_{1i}. \tag{AF4.3}

Matrix-unit multiplication and uq1u∗=euq_1u^*=e give

v∗v=1,vv∗=1,vwijv∗=eij.v^*v=1,\qquad vv^*=1,\qquad vw_{ij}v^*=e_{ij}.

Thus Q=vDv∗Q=vDv^* contains NN exactly. The entire vv need not be close to one.

The estimates concern only its first-corner action. For z=eze∈Wz=eze\in W put z′=q1ED(z)q1z'=q_1E_D(z)q_1. The inequalities for left/right multiplication give

∥z−z′∥2≤∥z−q1zq1∥2+∥q1(z−ED(z))q1∥2≤(2a(δ)+δ)∥z∥.\|z-z'\|_2 \leq\|z-q_1zq_1\|_2+\|q_1(z-E_D(z))q_1\|_2 \leq(2a(\delta)+\delta)\|z\|.

Also ∥z′∥≤∥z∥\|z'\|\leq\|z\|, and vq1=uq1vq_1=uq_1, so vz′v∗=uz′u∗vz'v^*=uz'u^*. Hence

∥z−vz′v∗∥2≤[δ+(2+22)a(δ)]∥z∥.(AF4.4)\|z-vz'v^*\|_2 \leq[\delta+(2+2\sqrt2)a(\delta)]\|z\|. \tag{AF4.4}

For x∈Vx\in V, the entries zij=e1ixej1∈Wz_{ij}=e_{1i}xe_{j1}\in W have norm at most ∥x∥\|x\|, and x=∑i,jei1zije1jx=\sum_{i,j}e_{i1}z_{ij}e_{1j}. Replace each entry by the element of eQeeQe just constructed. The resulting element of QQ differs from xx by at most

d2[δ+(2+22)a(δ)]∥x∥.(AF4.5)d^2[\delta+(2+2\sqrt2)a(\delta)]\|x\|. \tag{AF4.5}

Choose δ\delta to put this bound below ε\varepsilon, and use AF1's minimizing projection onto QQ. This proves (AF4.1), with p>np>n. No corner amenability or prior corner AFD theorem enters this construction.

AF5. The complete finite AFD uniqueness theorem

Theorem. For every factor MM of type II1\mathrm{II}_1 with separable predual, the following are equivalent:

  1. MM is normally isomorphic to RR.
  2. An increasing sequence of finite-dimensional unital star algebras generates MM.
  3. MM has local finite-dimensional 22-norm approximation.

Proof. A faithful normal normalized trace exists by FCT6–7, because the center is scalar. Condition1 gives condition 2 by transporting the local tensor matrices in FG2. For condition 2, the union is a unital star algebra. Its norm closure has bicommutant MM, and BD1–5 supplies bounded strong approximation and hence bounded ultraweak approximation. NT2 gives 22-norm approximation by these bounded elements. Approximating them in norm by elements of the union puts finitely many desired approximants in one finite stage. This proves condition 3.

Assume condition 3. The faithful trace GNS Hilbert space is separable by NT2. Its subset consisting of the unit-ball vectors xΩx\Omega, x∈Mx\in M, is a separable metric space by TS1; choose a 22-norm dense sequence xjx_j in that ball. Starting with C1\mathbb C1, use AF4 successively on Vk=span⁡(x1,…,xk)V_k=\operatorname{span}(x_1,\ldots,x_k). This gives

Nk≅M2nk,Nk⊂Nk+1,nk<nk+1,∥xj−ENk(xj)∥2≤2−k(j≤k).(AF5.1)N_k\cong M_{2^{n_k}},\qquad N_k\subset N_{k+1},\qquad n_k<n_{k+1},\qquad \|x_j-E_{N_k}(x_j)\|_2\leq2^{-k}\quad(j\leq k). \tag{AF5.1}

AF1 bounds those approximants by one. NT2 therefore puts every xjx_j in the strongly closed generated algebra. Approximate any other unit-ball xx by the chosen xjx_j's; they remain bounded, so NT2 puts xx in that algebra as well. Thus (⋃kNk)′′=M(\bigcup_kN_k)''=M.

Every unital inclusion Ma⊂MbM_a\subset M_b has b=arb=ar and relative commutant MrM_r. Here is the finite argument. Its diagonal matrix units divide Cb\mathbb C^b into aa mutually orthogonal ranges, with equal dimension rr, because the off-diagonal units give isometries between them. Choose a basis in the first range and transport it to the others. In those coordinates the inclusion is Ma⊗1rM_a\otimes1_r. A matrix commuting with all those matrix units has zero off-diagonal blocks and identical diagonal rr-blocks, giving exactly 1a⊗Mr1_a\otimes M_r. Their products generate the whole MbM_b.

Apply this to successive NkN_k's. Between them insert the finitely many M2M_2 tensor levels of their relative commutant; also insert the initial levels inside N1N_1. To justify these finite tensor factorizations, label the basis of a 2r2^r-dimensional matrix space by binary strings of length rr. An elementary matrix is exactly the product of its rr coordinate matrix units, proving the isomorphism with rr copies of M2M_2. We obtain increasing Am≅M2mA_m\cong M_{2^m} with Am+1≅Am⊗M2A_{m+1}\cong A_m\otimes M_2 and generated algebra MM. Choose the coordinate isomorphisms inductively through the relative commutant so that all inclusions agree with x↦x⊗12x\mapsto x\otimes1_2.

The trace of each finite matrix stage is its normalized matrix trace. Indeed its diagonal units are equivalent and sum to one, so have trace 2−m2^{-m}; an off-diagonal unit has trace zero by the trace relation with a diagonal unit. Thus the compatible algebraic-union isomorphism from FG2's local matrices onto ⋃mAm\bigcup_mA_m preserves traces. It extends isometrically to a unitary between their trace Hilbert completions, because the local vectors are dense on each side. On the MM side this density follows from bounded density and trace 22-norm convergence; on the RR side it is the construction of FG2.

The unitary intertwines every local left multiplier. Conjugation by it therefore identifies the two bicommutants. The trace GNS representation of MM is faithful and normal, has von Neumann image, and has a normal inverse onto that image by the complete STC/ST1–2 route in NT2. Operator conjugation is normal by its vector-pair substitutions. Consequently this is a normal isomorphism of the original MM with RR. This proves condition 1 and all equivalences. □\square

In particular, the increasing finite group algebras in Proposition 6.1 satisfy condition 2. Every part of its identification with RR is now covered, including direct sums in the initial stages and irrational traces in the approximation steps.

Freely accessible method comparisons

Claire Anantharaman and Sorin Popa's author draft, Lemma 11.2.1 and Theorem 11.2.2, printed 185–188 (PDF 191–194), supplies the dyadic-cut and tracial-completion method. Its nesting proof uses amenability, then AFD, of a matrix corner. AF4 instead proves exact containment using a single projection repair and the old matrix units. The trace projections, finite matrix decompositions, scalar trace cuts and all predecessor proofs are supplied here.

The programme's local-approximation lesson also develops the projection-repair and exact-first-corner method. This module gives the whole finite-uniqueness input using only finite-dimensional trace projections and FG2's independently constructed dyadic factor. Its statement and complete proof apply to every separable-predual factor of type II1\mathrm{II}_1 with the stated approximation property. No implication from amenability to AFD, arbitrary finite-commutant classification, or modular theorem is used as an unstated premise.