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

Matrix-stage expectations and scalar center

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 increasing family of full matrix algebras can determine the center of its von Neumann closure directly. The input is a faithful normal trace on that closure. No MASA, expected subfactor, classification theorem or pre-existing factor assertion is required.

We use the normal trace GNS representation and the bounded-density theorem. The scalar Hilbert projection facts and the normal coefficient calculations below apply to every finite matrix stage.

MX1. Finite matrix projections determine the center

Theorem. Let PP be a von Neumann algebra with a faithful normal tracial state τ\tau. Let

F1⊂F2⊂⋯⊂P,Fn≅Mdn,P=(⋃nFn)′′,F_1\subset F_2\subset\cdots\subset P,\qquad F_n\cong M_{d_n},\qquad P=\left(\bigcup_nF_n\right)'',

where every stage has the same unit as PP. Choose matrix units (eij(n))1≤i,j≤dn(e_{ij}^{(n)})_{1\le i,j\le d_n} in each stage. Then

Qn(x)=dn∑i,j=1dnτ(eji(n)x)eij(n)(MX1)Q_n(x)=d_n\sum_{i,j=1}^{d_n} \tau(e_{ji}^{(n)}x)e_{ij}^{(n)} \tag{MX1}

is the normal trace-preserving conditional expectation onto FnF_n. It is completely positive and contractive. For every x∈Px\in P,

∥Qn(x)−x∥2,τ⟶0.(MX2)\|Q_n(x)-x\|_{2,\tau}\longrightarrow0. \tag{MX2}

Consequently Z(P)=C1Z(P)=\mathbb C1.

Proof. Fix a stage and suppress its superscript. Traciality and equivalence of the diagonal projections give τ(eii)=1/d\tau(e_{ii})=1/d. For i≠ji\ne j, τ(eij)=τ(eijejj)=τ(ejjeij)=0\tau(e_{ij})=\tau(e_{ij}e_{jj})=\tau(e_{jj}e_{ij})=0. The matrix-unit multiplication rule therefore shows that QQ fixes every matrix unit and that Q(1)=1Q(1)=1. The same rule gives

Q(axb)=aQ(x)b(a,b∈F, x∈P).(MX3)Q(axb)=aQ(x)b\qquad(a,b\in F,\ x\in P). \tag{MX3}

Here is positivity at every matrix size. If X=(xab)∈Mk(P)X=(x_{ab})\in M_k(P) is positive and ca,ic_{a,i} is any scalar array, put va=∑ica,iei1v_a=\sum_i c_{a,i}e_{i1}. The scalar coefficient matrix of Q(k)(X)Q^{(k)}(X), in the ordinary representation of Mk(F)≅MkdM_k(F)\cong M_{kd}, has quadratic form

d∑a,b,i,jca,i‾cb,jτ(ejixab)=d τ ⁣(∑a,bva∗xabvb)≥0.(MX4)d\sum_{a,b,i,j}\overline{c_{a,i}}c_{b,j} \tau(e_{ji}x_{ab}) =d\,\tau\!\left(\sum_{a,b}v_a^*x_{ab}v_b\right)\ge0. \tag{MX4}

The equality uses traciality to move ej1e1i=ejie_{j1}e_{1i}=e_{ji}; the inequality follows by applying the positive operator matrix XX to the operator column (vb)(v_b). Thus QQ is completely positive. In particular it is positive and order preserving, so

0≤Q(x∗x)≤∥x∥21.0\le Q(x^*x)\le\|x\|^2 1.

Apply positivity to (x−Q(x))∗(x−Q(x))(x-Q(x))^*(x-Q(x)) and use (MX3) and Q∣F=id⁡Q|_F=\operatorname{id}. The result is

Q(x)∗Q(x)≤Q(x∗x)≤∥x∥21,(MX5)Q(x)^*Q(x)\le Q(x^*x)\le\|x\|^2 1, \tag{MX5}

which proves contractivity.

Every coefficient x↦τ(ejix)x\mapsto\tau(e_{ji}x) is normal: multiplication by a fixed bounded operator is ultraweakly continuous, and τ\tau is normal. The finite sum (MX1) is therefore normal. Taking its trace leaves only the terms i=ji=j, and gives τ(Q(x))=τ(x)\tau(Q(x))=\tau(x). The same finite calculation, first for a matrix unit yy and then by linearity for every y∈Fy\in F, gives

τ(y∗Q(x))=τ(y∗x).(MX6)\tau(y^*Q(x))=\tau(y^*x). \tag{MX6}

Hence on the trace GNS space, Q(x)ΩτQ(x)\Omega_\tau is exactly the orthogonal projection of xΩτx\Omega_\tau onto the finite-dimensional subspace FΩτF\Omega_\tau.

These subspaces increase with nn. Their union is dense in the trace GNS space of PP. Indeed the bounded-density theorem gives, for any x∈Px\in P, a uniformly bounded net from ⋃nFn\bigcup_nF_n converging strongly to xx in the faithful normal GNS representation. Applying that net to Ωτ\Omega_\tau puts xΩτx\Omega_\tau in the closure of the union of the subspaces. Those vectors are dense by definition of the GNS space.

For completeness, orthogonal projections onto increasing subspaces with dense union converge strongly to the identity. Given a vector ξ\xi and a tolerance, choose a vector η\eta in one of the subspaces close to ξ\xi. Every later projection pnp_n fixes η\eta, and the norm of 1−pn1-p_n is at most one, so ∥(1−pn)ξ∥≤∥ξ−η∥\|(1-p_n)\xi\|\le\|\xi-\eta\|. Apply this to ξ=xΩτ\xi=x\Omega_\tau and the projections identified by (MX6). This proves (MX2).

Finally let z∈Z(P)z\in Z(P). Bimodularity gives aQn(z)=Qn(z)aaQ_n(z)=Q_n(z)a for every a∈Fna\in F_n. The center of a full matrix algebra is scalar, and trace preservation thus gives

Qn(z)=τ(z)1.Q_n(z)=\tau(z)1.

Equation (MX2) forces ∥z−τ(z)1∥2,τ=0\|z-\tau(z)1\|_{2,\tau}=0. Faithfulness of τ\tau makes z=τ(z)1z=\tau(z)1, proving the center assertion. □\square

Reading

Claire Anantharaman and Sorin Popa, An introduction to II₁ factors, Section 11.2, printed pp.185–188, gives the compatible matrix and product-trace GNS framework. The finite coefficient formula and scalar-center argument above apply to a given traced von Neumann closure, before any MASA construction or factor classification.