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

Index selection and uniform multiplier control

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

A double sequence has a row index for an element of MωM^\omega and a column index for its representative in MM. Index selection chooses a row slowly while the column follows the ultrafilter. To produce an element of the nontracial multiplier quotient, the rows need common multiplier moduli. Separate membership of every row is insufficient.

We prove the general construction with that uniform control, and then the full finite-trace version, where the control is automatic. An explicit type I example shows why the unrestricted source assertion cannot hold.

Let MM have separable predual and a faithful normal state φ\varphi. Use Mω=Nω/IωM^\omega=N_\omega/I_\omega, Mω=Cω/IωM_\omega=C_\omega/I_\omega, EωE_\omega, and ∥⋅∥#=∥⋅∥φ,#\|\cdot\|_\#=\|\cdot\|_{\varphi,\#} from the preceding lessons.

1. Why arbitrary rows are not enough

Proposition 1.1. Even for a two-dimensional unital C∗C^*-algebra A⊂ℓ∞(N,Mω)A\subset\ell^\infty(\mathbb N,M^\omega) and the trivial action group, a homomorphism Ψ:A→Mω\Psi:A\to M^\omega fixing constant sequences need not exist with

Eω(Ψ((Xm)))=uw-lim⁡m→ωEω(Xm).(1)E_\omega(\Psi((X_m))) =\operatorname*{uw-lim}_{m\to\omega}E_\omega(X_m). \tag{1}

Proof. Take M=B(ℓ2(N0))M=B(\ell^2(\mathbb N_0)). The type I multiplier theorem identifies MωM^\omega normally with constant MM; under that identification Eω=idE_\omega=\mathrm{id}.

Let wmw_m exchange ξ0\xi_0 and ξm\xi_m and fix all other basis vectors. Then

wm=1−p0−pm+∣ξm⟩⟨ξ0∣+∣ξ0⟩⟨ξm∣,wm=wm∗,wm2=1.(2)w_m=1-p_0-p_m+|\xi_m\rangle\langle\xi_0| +|\xi_0\rangle\langle\xi_m|, \qquad w_m=w_m^*,\quad w_m^2=1. \tag{2}

The tail projection and off-diagonal terms converge ultraweakly to zero, so

uw-lim⁡m→ωwm=1−p0.(3)\operatorname*{uw-lim}_{m\to\omega}w_m=1-p_0. \tag{3}

For the off-diagonal terms, each fixed pair of vectors gives a coefficient tending to zero; uniform boundedness extends weak operator convergence to ultraweak convergence on this bounded sequence by trace-class approximation.

View each wmw_m as a constant element of MωM^\omega, and put w=(wm)w=(w_m), A=C∗(1,w)A=C^*(1,w). This is a unital copy of C2\mathbb C^2: ww is a self-adjoint unitary different from either scalar sign. Fixing constants requires Ψ(1)=1\Psi(1)=1, so any *-homomorphism makes Ψ(w)\Psi(w) a self-adjoint unitary. But (1) and Eω=idE_\omega=\mathrm{id} force Ψ(w)=1−p0\Psi(w)=1-p_0, whose square is not 11. This is impossible. □\square

This meets the separability and trivial-action hypotheses of Ocneanu's Index Selection Trick in Section 5.5. The obstruction is to the theorem itself, rather than just one choice of diagonal.

2. A uniform row hypothesis

Let A⊂ℓ∞(N,Mω)A\subset\ell^\infty(\mathbb N,M^\omega) be separable and unital. Write a=(Xma)a=(X_m^a). Let HH be a countable group of actual semi-lifts acting on AA term by term:

(γa)m=γ(Xma),γ(π(xk))=π(γk(xk)).(4)(\gamma a)_m=\gamma(X_m^a),\qquad \gamma(\pi(x_k))=\pi(\gamma_k(x_k)). \tag{4}

Assume AA is invariant. The family γk\gamma_k in the second formula is indexed by the representative column, not the outer row.

Choose a countable norm-dense unital rational *-algebra D⊂AD\subset A, invariant under HH. Arrange that DD has norm-dense intersections with the closed subalgebras of constant sequences and of sequences all of whose rows belong to MωM_\omega. These subalgebras are separable as closed subspaces of AA, so their dense generators can be included before taking all countable translates.

For each a∈Da\in D choose representatives

xma(k)∈Nω,π(xma)=Xma,∥xma(k)∥≤∥a∥A.(5)x_m^a(k)\in N_\omega,\qquad \pi(x_m^a)=X_m^a,\qquad \|x_m^a(k)\|\le\|a\|_A. \tag{5}

For a constant row sequence Xma=XX_m^a=X, use the same representative uX(k)u_X(k) for every row. For a sequence of centralizing quotient elements, use centralizing representatives in each row.

The additional uniform control is this: for each a∈D,l≥1a\in D,l\ge1, there are a positive δl(a)\delta_l(a), an outer set Rl(a)∈ωR_l(a)\in\omega, and inner sets Wl(a,m)∈ωW_l(a,m)\in\omega for m∈Rl(a)m\in R_l(a), such that

m∈Rl(a),k∈Wl(a,m),∥z∥≤1,∥z∥#<δl(a)⟹ ∥xma(k)z∥#+∥zxma(k)∥#<1/l.(6)\begin{gathered} m\in R_l(a),\quad k\in W_l(a,m),\quad \|z\|\le1,\quad\|z\|_\#<\delta_l(a)\\ \Longrightarrow\ \|x_m^a(k)z\|_\#+\|zx_m^a(k)\|_\#<1/l. \end{gathered} \tag{6}

The modulus is independent of the row. The sets can be made decreasing with ll by finite intersections. Separate row membership would only give a modulus depending on both ll and mm; that weaker information does not supply (6).

Theorem 2.1. Under (4)–(6), there is a unital *-homomorphism Ψ:A→Mω\Psi:A\to M^\omega such that:

Eω(Ψ(a))=uw-lim⁡m→ωEω(Xma),Ψ(a)=Xif Xma=X for every m,Ψ(a)∈Mωif Xma∈Mω for every m,Ψ(γa)=γ(Ψ(a))(γ∈H).(7)\begin{aligned} E_\omega(\Psi(a))&=\operatorname*{uw-lim}_{m\to\omega}E_\omega(X_m^a),\\ \Psi(a)&=X&&\text{if }X_m^a=X\text{ for every }m,\\ \Psi(a)&\in M_\omega&&\text{if }X_m^a\in M_\omega\text{ for every }m,\\ \Psi(\gamma a)&=\gamma(\Psi(a))&&(\gamma\in H). \end{aligned} \tag{7}

Injectivity is not asserted for an arbitrary AA. Its exact kernel will be described below.

3. Selecting rows, then column sets

Let Dn,HnD_n,H_n be increasing finite exhausting sets, with 1∈Dn1\in D_n, and let ψj\psi_j be norm dense in M∗M_*. Put

L(a)=uw-lim⁡m→ωEω(Xma).(8)L(a)=\operatorname*{uw-lim}_{m\to\omega}E_\omega(X_m^a). \tag{8}

Each limit exists by bounded ultraweak compactness.

At stage nn, choose a row r(n)≥nr(n)\ge n in all Rl(a)R_l(a) for a∈Dn,l≤na\in D_n,l\le n, and satisfying

∣ψj(Eω(Xr(n)a)−L(a))∣<1/n,a∈Dn, j≤n.(9)|\psi_j(E_\omega(X_{r(n)}^a)-L(a))|<1/n, \qquad a\in D_n,\ j\le n. \tag{9}

These are finitely many outer ultrafilter conditions, so their intersection is nonempty.

Having fixed that row, choose decreasing inner sets Vn∈ωV_n\in\omega, inside {k≥n}\{k\ge n\} and all Wl(a,r(n))W_l(a,r(n)) for a∈Dn,l≤na\in D_n,l\le n. Require on VnV_n:

  1. Every addition, adjoint, multiplication and rational scalar relation on the finite data has symmetric seminorm error less than 1/n1/n.
  2. For a∈Dn,j≤na\in D_n,j\le n,
∣ψj(xr(n)a(k)−Eω(Xr(n)a))∣<1/n.(10)|\psi_j(x_{r(n)}^a(k)-E_\omega(X_{r(n)}^a))|<1/n. \tag{10}
  1. For a∈Dn,γ∈Hna\in D_n,\gamma\in H_n,
∥γk(xr(n)a(k))−xr(n)γa(k)∥#<1/n.(11)\|\gamma_k(x_{r(n)}^a(k))-x_{r(n)}^{\gamma a}(k)\|_\#<1/n. \tag{11}
  1. For a centralizing-row sequence a∈Dna\in D_n and j≤nj\le n,
∥[xr(n)a(k),ψj]∥<1/n.(12)\|[x_{r(n)}^a(k),\psi_j]\|<1/n. \tag{12}

Lemma 3.1. These inner sets exist.

Proof. Every algebraic relation holds in the fixed row quotient, so its representative error is in IωI_\omega. Equation (10) uses its ultraweak-limit expectation. For (11), the two representatives give the same row element γ(Xr(n)a)=Xr(n)γa\gamma(X_{r(n)}^a)=X_{r(n)}^{\gamma a}, by (4). Equation (12) uses the centralizing representative of that row. Each finite test therefore holds on an inner ω\omega-large set. Intersect these with the finitely many uniform-modulus sets, the previous Vn−1V_{n-1}, and the cofinite set. □\square

The moduli in this intersection are the fixed δl(a)\delta_l(a) of (6). A new modulus shrinking with r(n)r(n) would not give the subsequent multiplier proof.

4. The diagonal and its full extension

Set V0=NV_0=\mathbb N, and let s(k)s(k) be the largest n≥1n\ge1 with k∈Vnk\in V_n, or zero if none. Since Vn⊂{k≥n}V_n\subset\{k\ge n\}, the level is finite; since every VnV_n is large, s(k)→ω∞s(k)\to_\omega\infty. Define

ya(k)=xr(s(k))a(k),Ψ0(a)=π(ya),(13)y_a(k)=x_{r(s(k))}^a(k),\qquad \Psi_0(a)=\pi(y_a), \tag{13}

using r(0)=1r(0)=1 on the initial band.

Lemma 4.1. Each yay_a belongs to NωN_\omega.

Proof. Fix a,la,l. On an ω\omega-large set the level n=s(k)n=s(k) is high enough that a∈Dn,l≤na\in D_n,l\le n. Its row r(n)r(n) lies in Rl(a)R_l(a), and its actual column k∈Vnk\in V_n lies in Wl(a,r(n))W_l(a,r(n)). Thus (6) controls both products at that coordinate with the same fixed δl(a)\delta_l(a).

For a contraction sequence zk∈Iωz_k\in I_\omega, the condition ∥zk∥#<δl(a)\|z_k\|_\#<\delta_l(a) holds on another large set. Both product seminorms have ultralimit at most 1/l1/l. Let l→∞l\to\infty, and rescale bounded null sequences. This proves both multiplier conditions. □\square

The relation tests make Ψ0\Psi_0 a unital rational *-homomorphism, and (5) gives ∥Ψ0(a)∥≤∥a∥A\|\Psi_0(a)\|\le\|a\|_A. It extends by norm continuity to a complex unital *-homomorphism on AA.

Combining (9) and (10) gives scalar expectation errors below 2/s(k)2/s(k), hence the first line of (7) on DD. The map L:A→ML:A\to M is linear and contractive: these properties hold coordinatewise for the expectations and survive scalar ultralimits. Thus both sides extend by norm continuity to AA.

Constant sequences are fixed on DD because their row representatives were chosen identical, making (13) exactly uX(k)u_X(k). Norm density in the constant subalgebra extends this conclusion. Equation (12) gives centralizing images on the dense centralizing-row subalgebra; MωM_\omega is norm closed, so the entire centralizing-row subalgebra has its image there.

Finally (11) compares γk(ya(k))\gamma_k(y_a(k)) with yγa(k)y_{\gamma a}(k) at the actual column kk. It gives equivariance on DD, and norm continuity gives it on AA. These arguments prove Theorem 2.1.

Define the state

ρ(a)=φ(L(a))=lim⁡m→ωφω(Xma).(14)\rho(a)=\varphi(L(a)) =\lim_{m\to\omega}\varphi^\omega(X_m^a). \tag{14}

The expectation identity implies φωΨ=ρ\varphi^\omega\Psi=\rho. Faithfulness of φω\varphi^\omega then gives the exact formula

ker⁡Ψ={a∈A:ρ(a∗a)=0}.(15)\ker\Psi=\{a\in A:\rho(a^*a)=0\}. \tag{15}

Indeed ρ(a∗a)=φω(Ψ(a)∗Ψ(a))\rho(a^*a)=\varphi^\omega(\Psi(a)^*\Psi(a)) vanishes precisely when Ψ(a)=0\Psi(a)=0. In particular a faithful ρ\rho makes this selection injective.

5. The full finite-trace version

Corollary 5.1. Suppose MM has separable predual and a faithful normal tracial state τ\tau. For every separable unital A⊂ℓ∞(N,Mω)A\subset\ell^\infty(\mathbb N,M^\omega) invariant under a countable semi-lift group acting as in (4), a map satisfying all of (7) exists. No factor hypothesis is needed.

Proof. Use φ=τ\varphi=\tau. Every bounded sequence in MM is an inner multiplier. Choose contractive row representatives as in (5); for constants use identical representatives, and for centralizing rows choose centralizing ones. For a contraction zz,

∥xma(k)z∥2+∥zxma(k)∥2≤2∥a∥A∥z∥2.(16)\|x_m^a(k)z\|_2+\|zx_m^a(k)\|_2 \le2\|a\|_A\|z\|_2. \tag{16}

Thus (6) holds with Rl(a)=Wl(a,m)=NR_l(a)=W_l(a,m)=\mathbb N and, for example, δl(a)=(4l(1+∥a∥A))−1\delta_l(a)=(4l(1+\|a\|_A))^{-1}. All countable algebra, action and intersection data can be chosen as above, so Theorem 2.1 applies. □\square

Here (15) becomes

ker⁡Ψ={a=(Xma)∈A:lim⁡m→ω∥Xma∥τω,2=0}.(17)\ker\Psi =\{a=(X_m^a)\in A:\lim_{m\to\omega}\|X_m^a\|_{\tau^\omega,2}=0\}. \tag{17}

Consequently the selection embeds the C∗C^*-quotient by this trace-null ideal into MωM^\omega, preserving its trace. In particular it fixes every constant X∈MωX\in M^\omega whose constant sequence belongs to AA. This is the full tracial diagonal-selection phenomenon, including nonfactor finite algebras.

The general hypothesis (6) fails intrinsically in Proposition 1.1. Use the diagonal state (13) of the ordinary multiplier lesson. Its ∥pm∥#2=λm\|p_m\|_\#^2=\lambda_m tends to zero, whereas

pmwm=∣ξm⟩⟨ξ0∣,∥pmwm∥#2=(λ0+λm)/2≥1/4.(18)p_mw_m=|\xi_m\rangle\langle\xi_0|, \qquad \|p_mw_m\|_\#^2=(\lambda_0+\lambda_m)/2\ge1/4. \tag{18}

For any representatives of the constant row element wmw_m, taking the inner ultralimit preserves these fixed-row product seminorms, since multiplication by pmp_m is fixed within that row. Thus no common small-input modulus can hold for unbounded mm in an outer ultrafilter set. Merely requiring each individual row to be a multiplier leaves precisely this gap.

6. Exercises with complete solutions

Exercise 1. Verify the swap formula (2).

Solution. On ξ0\xi_0, its first three terms give zero and the term ∣ξm⟩⟨ξ0∣|\xi_m\rangle\langle\xi_0| gives ξm\xi_m. On ξm\xi_m it gives ξ0\xi_0, and on every other basis vector it gives that same vector. Thus it is the stated self-adjoint permutation unitary, with square 11.

Exercise 2. Why is the ultraweak limit in (3) not unitary?

Solution. It annihilates ξ0\xi_0 and fixes the orthogonal complement, so it is the proper projection 1−p01-p_0. Its square is itself, which differs from 11. A unital homomorphism cannot send the unitary ww to it.

Exercise 3. Explain why A=C∗(1,w)A=C^*(1,w) is already a separable counterexample.

Solution. The relation w=w∗,w2=1w=w^*,w^2=1 makes its continuous functional calculus a quotient of C2\mathbb C^2. Both spectral projections (1±w)/2(1\pm w)/2 are nonzero because every swap has both signs in its spectrum. Hence the algebra is exactly C2\mathbb C^2, finite-dimensional and separable.

Exercise 4. Distinguish the row and column actions in (4).

Solution. The outer action sends row XmX_m to the same actual automorphism γ(Xm)\gamma(X_m). Within its representative, that action is implemented by γk\gamma_k at column kk. Equation (11) therefore uses γk\gamma_k, with the row r(n)r(n) held fixed. Replacing it by γr(n)\gamma_{r(n)} would apply a different rule.

Exercise 5. Why do the row choices satisfy (9)?

Solution. For each fixed a,ja,j, the scalar ψj(Eω(Xma))\psi_j(E_\omega(X_m^a)) has ultralimit ψj(L(a))\psi_j(L(a)). Its error below 1/n1/n is therefore an outer large-set condition. At stage nn only finitely many such conditions and row-modulus sets are intersected, together with a cofinite set.

Exercise 6. Why is the uniform modulus independent of the selected row essential?

Solution. A null input has small seminorm relative to every fixed positive threshold on a large set. It need not be small relative to thresholds that shrink with its coordinate. Lemma 4.1 needs one fixed δl(a)\delta_l(a) while its selected rows vary. A row-dependent threshold cannot justify that step; the swaps in (18) exhibit its failure.

Exercise 7. Prove centralizing membership of the selected image.

Solution. For a sequence of centralizing rows, (12) bounds every fixed ψj\psi_j-commutator by 1/s(k)1/s(k) on a large set. Levels tend to infinity along ω\omega. Uniform operator bounds and norm density extend the convergence to every normal functional. This is exactly membership in CωC_\omega.

Exercise 8. Check constant fixing for an element of MωM^\omega, whose inner representative may vary.

Solution. If every row equals XX, choose xm(k)=uX(k)x_m(k)=u_X(k) independently of mm. The selected diagonal in (13) is then uX(k)u_X(k) at every coordinate, even though that representative varies with kk. Its quotient is precisely XX.

Exercise 9. Derive the kernel formula (15).

Solution. Multiplicativity and the state identity give ρ(a∗a)=φω(Ψ(a)∗Ψ(a))\rho(a^*a)=\varphi^\omega(\Psi(a)^*\Psi(a)). If Ψ(a)=0\Psi(a)=0, the value is zero. Conversely faithfulness of the target state makes a positive square with zero state vanish, so Ψ(a)=0\Psi(a)=0. Both implications prove the formula.

Exercise 10. Establish the uniform row modulus in the finite-trace case.

Solution. The trace 22-norm satisfies ∥bz∥2,∥zb∥2≤∥b∥∥z∥2\|bz\|_2,\|zb\|_2\le\|b\|\|z\|_2. The representatives have a common bound ∥a∥A\|a\|_A, so their sum is at most 2∥a∥A∥z∥22\|a\|_A\|z\|_2, regardless of row or column. The positive modulus in Corollary 5.1 therefore works on all indices.

Exercise 11. Why is injectivity inappropriate for arbitrary sequence algebras?

Solution. A nonzero sequence can have row 22-norm tending to zero along the outer filter. For instance a sequence supported at just one row is nonzero in ℓ∞\ell^\infty but trace-null for a free filter. Equation (17) forces the selection to annihilate it. The correct injective object is the quotient by that ideal.

Exercise 12. Show that a different choice of representatives cannot repair the swap counterexample's common-modulus failure.

Solution. For each fixed row mm, an alternative representative differs from the constant wmw_m by an inner null sequence. Multiplication by the fixed pmp_m preserves that nullity, so its inner product seminorm has ultralimit equal to the value in (18). For unbounded mm, the input ∥pm∥#\|p_m\|_\# is arbitrarily small but the output remains at least 1/21/2. This contradicts any fixed modulus on an outer large set.

References

Adrian Ocneanu's freely accessible Actions of discrete amenable groups on factors, thesis, Chapter 5, Section 5.5, Index Selection Trick, printed pp.56–58 (PDF pp.70–72), is the comparison source for the row and column selection. Its unrestricted nontracial assertion is not used as a theorem provider: Proposition 1.1 satisfies its separability and trivial-action hypotheses and contradicts its expectation and constant-fixing conclusions.

The source's condition (6) places a selected column inside a multiplier-control set for the selected row. Separate rows can have different small-input moduli, so this does not give the common modulus required to prove that the final diagonal is a multiplier. Condition (6) of this lesson makes the missing uniform row control explicit, and Sections 3–4 prove the complete corrected construction. Corollary 5.1 proves the entire finite-trace case, including finite algebras with nontrivial center, where the common control is automatic. The final estimates also show why the type I example cannot satisfy that additional hypothesis. No source expression is imported.