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Predual compactness from positive vector control

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 weakly compact family of normal functionals has one positive normal functional that controls all its values on small bounded operators. We prove that criterion by constructing positive envelopes from vector coefficients. The reverse direction uses a real Hahn–Banach extension on a graph: a functional continuous for the controlling seminorm is a norm limit of normal vector functionals.

The classical criterion is C. A. Akemann's The dual space of an operator algebra, Theorem II.3 and Lemmas II.3a–II.3c, printed pages 289–291. The Baire and projection-cutting mechanism is credited to that proof. The argument here constructs its own positive vector envelopes and proves the particular sequential extraction it needs; the graph-extension argument supplies the converse directly.

We use the complete programme proofs of H00–H01, Hilbert representation and projection, H03, the concrete predual, F01, real and complex Hahn–Banach, CG01, positive normal supports, and the finite-functional GNS construction in NC01b, through its normal-inverse paragraph. The latter construction includes its Banach–Alaoglu proof. Bounded spectral projections and their order inequalities are supplied by SK, with the scalar measure representation supplied by RM01–RM05. These links specify earlier complete arguments; Hilbert spaces and von Neumann algebras have no countability assumption. Inner products are linear in the second variable.

PC00. The exact criterion

Let M⊂B(H)M\subset B(H) be a von Neumann algebra, M∗M_* its concrete predual, and K⊂M∗\mathcal K\subset M_*. The following are equivalent:

  1. K\mathcal K is relatively compact for σ(M∗,M)\sigma(M_*,M).
  2. K\mathcal K is norm bounded and there is ρ∈M∗+\rho\in M_*^+ such that, for every ε>0\varepsilon>0, some δ>0\delta>0 satisfies
∥x∥≤1,ρ(x∗x+xx∗)<δ⟹sup⁡ψ∈K∣ψ(x)∣<ε.(PC1) \|x\|\le1,\qquad \rho(x^*x+xx^*)<\delta \quad\Longrightarrow\quad \sup_{\psi\in\mathcal K}|\psi(x)|<\varepsilon. \tag{PC1}

Relative compactness means that the weak closure is compact. Neither the set itself nor its norm closure is asserted to be weakly closed. The empty set and zero algebra satisfy the criterion with ρ=0\rho=0. We prove the two directions in PC05 and PC07, and derive the faithful-state version in PC08.

PC01. Positive envelopes constructed from normal vector coefficients

H03 identifies M∗M_* with a Banach quotient of the completed projective tensor product. Its isometric embedding in M∗M^* is norm closed, and each ψ∈M∗\psi\in M_* has a representation

ψ(x)=∑j⟨uj,xvj⟩,∑j∥uj∥∥vj∥<∞.(PC2) \psi(x)=\sum_j\langle u_j,xv_j\rangle, \qquad \sum_j\|u_j\|\|v_j\|<\infty. \tag{PC2}

Discard zero terms. Replacing uj,vju_j,v_j by positive reciprocal scalar multiples makes their two norms equal, with their common squared norm ∥uj∥∥vj∥\|u_j\|\|v_j\|; the coefficient is unchanged. For one chosen such representation set

Γψ(x)=∑j(⟨uj,xuj⟩+⟨vj,xvj⟩).(PC3) \Gamma_\psi(x)=\sum_j \bigl(\langle u_j,xu_j\rangle+\langle v_j,xv_j\rangle\bigr). \tag{PC3}

This is a positive normal functional. The sums of the vector squares are finite, so H03 puts the coefficient series in M∗M_*, and its value on 11 is twice the sum in (PC2). Positivity holds term by term. On a bounded increasing positive net, each vector coefficient increases to its value at the strong supremum; a finite-head and uniformly bounded tail estimate passes that limit through the series. This also verifies normality directly. Choose the zero representation for ψ=0\psi=0. No uniform bound comparing ∥Γψ∥\|\Gamma_\psi\| to ∥ψ∥\|\psi\| will be required.

Scalar Cauchy–Schwarz for the series gives both estimates

∣ψ(x)∣2≤Γψ(1)Γψ(x∗x),∣ψ(x)∣2≤Γψ(1)Γψ(xx∗).(PC4) |\psi(x)|^2\le \Gamma_\psi(1)\Gamma_\psi(x^*x), \qquad |\psi(x)|^2\le \Gamma_\psi(1)\Gamma_\psi(xx^*). \tag{PC4}

For the first use ∑⟨uj,xvj⟩\sum\langle u_j,xv_j\rangle; for the second move xx to x∗ujx^*u_j in the first factor. The two partial sums of vector squares are each at most the corresponding value of Γψ\Gamma_\psi.

If e=s(Γψ)e=s(\Gamma_\psi), then Γψ(1−e)=0\Gamma_\psi(1-e)=0. Every retained uj,vju_j,v_j therefore lies in eHeH, since the sum of their squared (1−e)(1-e)-components is zero. Thus

ψ(x)=ψ(exe).(PC5) \psi(x)=\psi(exe). \tag{PC5}

More generally, if Γψ≤cω\Gamma_\psi\le c\omega for a finite cc, CG01 gives s(Γψ)≤s(ω)s(\Gamma_\psi)\le s(\omega), and (PC5) holds with that larger support. These envelopes are choices attached to functionals; no linearity or uniqueness of the assignment ψ↦Γψ\psi\mapsto\Gamma_\psi is asserted.

PC02. The metric and Banach compactness tools needed here

We first give the Baire argument. If a nonempty complete metric space XX is covered by closed sets FnF_n with empty interior, choose a nonempty open ball and then recursively choose closed balls of positive radii less than 2−n2^{-n}, each inside the preceding open ball and outside FnF_n. Such a ball exists because the complement of FnF_n is dense and open. The centres are Cauchy. Their limit belongs to every chosen closed ball, hence avoids every FnF_n, a contradiction. The same construction inside any initial nonempty open set proves the usual dense-open formulation.

For completeness, the uniform boundedness consequence is as follows. For a pointwise bounded family T\mathcal T of bounded linear maps on a Banach space XX, the closed sets Em={x:sup⁡T∈T∥Tx∥≤m}E_m=\{x:\sup_{T\in\mathcal T}\|Tx\|\le m\} cover XX. One has interior containing a ball about x0x_0 of radius r>0r>0. Applying its bound to x0x_0 and x0+(r/2)yx_0+(r/2)y, for ∥y∥≤1\|y\|\le1, gives ∥T∥≤4m/r\|T\|\le4m/r uniformly. The dual of any normed space is complete: an operator-norm Cauchy sequence of scalar functionals has pointwise limits, and its Cauchy estimate passes to the limit uniformly on the unit ball. Hahn–Banach F01 gives ∥z∥=sup⁡∥f∥≤1∣f(z)∣\|z\|=\sup_{\|f\|\le1}|f(z)|. Consequently every weakly compact subset LL of a normed space is norm bounded: the canonical evaluation maps z:X∗→Cz:X^*\to\mathbb C, z∈Lz\in L, are pointwise bounded by compactness, and uniform boundedness on the Banach space X∗X^* bounds their norms.

Here is the precise sequential extraction used below. If LL is weakly compact in a Banach space XX, every sequence (zn)(z_n) in LL has a weakly convergent subsequence with limit in LL. Put Y=span⁡‾{zn:n≥1}Y=\overline{\operatorname{span}}\{z_n:n\ge1\}. It is separable, by finite rational complex combinations. It is weakly closed: for z∉Yz\notin Y, Hahn–Banach applied to y+tz↦tdist⁡(z,Y)y+tz\mapsto t\operatorname{dist}(z,Y) gives a bounded functional vanishing on YY and not on zz. Thus L∩YL\cap Y is weakly compact and contains the sequence.

If Y=0Y=0, extraction is immediate. Otherwise choose a norm-dense sequence (yj)(y_j) in its unit sphere, and norm-one functionals fj∈Y∗f_j\in Y^* with fj(yj)=1f_j(y_j)=1. F01 extends them to X∗X^*. They separate points of YY: for a unit vector yy, choosing ∥y−yj∥<1/2\|y-y_j\|<1/2 gives ∣fj(y)∣>1/2|f_j(y)|>1/2. Evaluation by these functionals is a continuous injection of the weakly compact set L∩YL\cap Y into CN\mathbb C^{\mathbb N}. Its inverse on its image is continuous: the image of each closed subset of L∩YL\cap Y is compact and therefore closed in the Hausdorff product. To verify the last fact, separate an exterior point from each point of a compact set and take a finite subcover.

The product's topology on the image is metrized by

d(z,w)=∑j≥12−jmin⁡{1,∣fj(z−w)∣}.(PC6) d(z,w)=\sum_{j\ge1}2^{-j}\min\{1,|f_j(z-w)|\}. \tag{PC6}

The finite-head and small-tail bounds show that this metric gives exactly coordinate convergence and the product topology. A sequence in a compact metric space has a convergent subsequence: repeatedly cover by finitely many balls of radius 2−k2^{-k}, retaining infinitely many indices in one ball at each step. A diagonal choice from the successive retained index sets is Cauchy. The closures of its tails have the finite-intersection property, so compactness supplies a cluster point, to which this Cauchy sequence converges. Applying this to (PC6) proves the claimed weak extraction. No converse sequential compactness theorem is used.

We also use the dual-ball compactness proved inside NC01b: for any normed XX, its dual ball is the closed set of linear evaluation families in the product of discs {z:∣z∣≤∥x∥}\{z:|z|\le\|x\|\}, x∈Xx\in X. The complete proof there constructs product limits by coordinate ultrafilters and scalar completeness, and proves the finite-intersection criterion with choice. This is the needed Banach–Alaoglu theorem. Applied to the canonical inclusion of a Banach space in its bidual, it says that a bounded subset is relatively weakly compact whenever its weak* closure in the bidual lies in that Banach space. Indeed the closure is then compact for the restricted weak topology. The reverse assertion follows because a weakly compact subset is compact and closed in the Hausdorff weak* space.

The same filter-extension principle supplies the free ultrafilter used by the ordinary-multiplier witness. For an infinite S⊂NS\subset\mathbb N, the filter generated by SS and all cofinite sets is proper. The union of a chain of proper filters extending it is proper: finitely many members lie in one filter in the chain. Zorn gives a maximal proper filter. If a set AA is absent, adjoining it would destroy properness, so some member of the filter is disjoint from AA; its complement is consequently in the filter. This proves the ultrafilter alternative. The cofinite members exclude every finite set, so the ultrafilter is free and contains SS.

PC03. A complete metric on a faithful normal unit ball

Let ω\omega be a finite faithful normal positive functional on N≠0N\ne0. The one-block case of NC01b supplies a faithful normal isometric GNS representation π:N→B(Hω)\pi:N\to B(H_\omega), with normal inverse on its von Neumann image, a cyclic vector ξ\xi, and

ω(x∗x)=∥π(x)ξ∥2.(PC7) \omega(x^*x)=\|\pi(x)\xi\|^2. \tag{PC7}

The vector is separating by faithfulness. It is cyclic for π(N)′\pi(N)' as well. The projection onto π(N)′ξ‾\overline{\pi(N)'\xi} commutes with π(N)′\pi(N)', hence belongs to π(N)\pi(N); it fixes ξ\xi, so the separating property forces that projection to be one.

On N1N_1 put dω(x,y)=ω((x−y)∗(x−y))1/2d_\omega(x,y)=\omega((x-y)^*(x-y))^{1/2}. This is a metric. For a bounded net, convergence in this metric is exactly strong convergence of its GNS operators. The forward implication first uses

∥π(xi−x)a′ξ∥≤∥a′∥dω(xi,x)(a′∈π(N)′), \|\pi(x_i-x)a'\xi\|\le\|a'\|d_\omega(x_i,x) \qquad(a'\in\pi(N)'),

and then density of those vectors with the uniform operator bound. The reverse implication tests ξ\xi. Applying the same argument to adjoints proves that ω((x−y)∗(x−y)+(x−y)(x−y)∗)1/2\omega((x-y)^*(x-y)+(x-y)(x-y)^*)^{1/2} gives bounded strong* convergence.

This metric on N1N_1 is complete. A dωd_\omega-Cauchy sequence makes π(xn)ξ\pi(x_n)\xi Cauchy, hence also π(xn)a′ξ\pi(x_n)a'\xi for every a′a'. The common contraction bound extends convergence to every Hilbert vector. The limits define a bounded linear contraction TT, so π(xn)→T\pi(x_n)\to T strongly. The image is strongly closed by NC01b, so T=π(x)T=\pi(x) for x∈N1x\in N_1, and (PC7) gives dω(xn,x)→0d_\omega(x_n,x)\to0.

Every normal functional is dωd_\omega-continuous on N1N_1. Transport it through the normal inverse of π\pi, express it by H03's series coefficients, and use the finite-head and bounded-tail estimate under strong convergence. For a normal positive τ\tau, bounded strong* convergence of π(xi)\pi(x_i) to zero similarly gives

τ(xi∗xi+xixi∗)⟶0.(PC8) \tau(x_i^*x_i+x_ix_i^*)\longrightarrow0. \tag{PC8}

Both products converge strongly to zero and remain bounded; their series-vector pairings consequently converge. In particular the bounded strong* topology is independent of which faithful normal finite functional is used. Normal positive vector functionals in any other faithful normal concrete presentation give the original strong* tests by (PC8), so the formulation is also independent of presentation.

For a nonfaithful ω\omega, use the corner s(ω)Ns(ω)s(\omega)Ns(\omega), where CG01 gives faithfulness. The zero corner causes no exception.

PC04. Weakly convergent functionals are uniform on a bounded strong* null sequence

Suppose ψk→ψ0\psi_k\to\psi_0 weakly in M∗M_*, and an∈M1a_n\in M_1 tends to zero strongly*. We show

sup⁡k≥0∣ψk(an)∣⟶0.(PC9) \sup_{k\ge0}|\psi_k(a_n)|\longrightarrow0. \tag{PC9}

Uniform boundedness in PC02 gives c=sup⁡k≥0∥ψk∥<∞c=\sup_{k\ge0}\|\psi_k\|<\infty. With the chosen PC01 envelopes put

ω=Γψ0+∑k≥12−k1+∥Γψk∥Γψk,e=s(ω).(PC10) \omega=\Gamma_{\psi_0} +\sum_{k\ge1}\frac{2^{-k}}{1+\|\Gamma_{\psi_k}\|}\Gamma_{\psi_k}, \qquad e=s(\omega). \tag{PC10}

This is norm convergent, positive and normal. Each envelope's support lies below ee, so every ψk(x)=ψk(exe)\psi_k(x)=\psi_k(exe). Compression of the bounded strong* null sequence is strong* null in the corner. If that corner is zero the claim follows at once. Otherwise work there with the faithful restriction of ω\omega. Put θk=ψk−ψ0\theta_k=\psi_k-\psi_0. These converge weakly to zero and have norm at most 2c2c.

Fix 0<t<10<t<1. The closed sets

Em={x∈M1:∣θk(x)∣≤t for every k≥m} E_m=\{x\in M_1:|\theta_k(x)|\le t\text{ for every }k\ge m\}

cover the unit ball, because each fixed xx has θk(x)→0\theta_k(x)\to0. They are closed for dωd_\omega, by PC03. Baire and completeness therefore give x0∈M1x_0\in M_1, r>0r>0, and m0m_0 such that the relative metric ball dω(x,x0)<rd_\omega(x,x_0)<r lies in Em0E_{m_0}.

Set

hn=an∗an+anan∗,pn=1[0,t2](hn),qn=1−pn.(PC11) h_n=a_n^*a_n+a_na_n^*,\qquad p_n=1_{[0,t^2]}(h_n),\qquad q_n=1-p_n. \tag{PC11}

Bounded spectral calculus gives pnhnpn≤t2pnp_nh_np_n\le t^2p_n and qn≤t−2hnq_n\le t^{-2}h_n. Its projections belong to MM. Indeed every unitary in M′M' commutes with the continuous calculus of hnh_n; conjugating the Borel extension by that unitary preserves its bounded pointwise sequential limits, so SK's proved uniqueness makes it commute with the Borel extension as well. Unitaries span M′M': a self-adjoint contraction bb is the real part of b+i(1−b2)1/2b+i(1-b^2)^{1/2}, and real and imaginary parts treat every element. Thus pn∈M′′=Mp_n\in M''=M. The order inequalities yield ∥anpn∥,∥pnan∥≤t\|a_np_n\|,\|p_na_n\|\le t, and ω(qn)≤t−2ω(hn)→0\omega(q_n)\le t^{-2}\omega(h_n)\to0. PC03 gives strong convergence of pnp_n to one in this GNS representation.

Write cn=qnanqnc_n=q_na_nq_n. The identity an=pnan+qnanpn+cna_n=p_na_n+q_na_np_n+c_n gives ∥an−cn∥≤2t\|a_n-c_n\|\le2t. Also cn∗cn≤qnc_n^*c_n\le q_n, so dω(cn,0)2≤ω(qn)→0d_\omega(c_n,0)^2\le\omega(q_n)\to0. Bounded multiplication gives pnx0pn→x0p_nx_0p_n\to x_0 strongly, hence in dωd_\omega. The block sum

bn=pnx0pn+cn(PC12) b_n=p_nx_0p_n+c_n \tag{PC12}

is a contraction: its two diagonal blocks have orthogonal supports and each has norm at most one. Both bnb_n and pnx0pnp_nx_0p_n eventually lie in the chosen metric ball. Thus for all sufficiently large nn and every k≥m0k\ge m_0,

∣θk(cn)∣=∣θk(bn)−θk(pnx0pn)∣≤2t,∣θk(an)∣≤(4c+2)t.(PC13) |\theta_k(c_n)| =|\theta_k(b_n)-\theta_k(p_nx_0p_n)|\le2t, \qquad |\theta_k(a_n)|\le(4c+2)t. \tag{PC13}

For the finitely many earlier kk, normality and bounded strong* convergence give θk(an)→0\theta_k(a_n)\to0. Therefore the limsup of the uniform supremum is at most (4c+2)t(4c+2)t for every t>0t>0, hence zero. Finally ψ0(an)→0\psi_0(a_n)\to0, proving (PC9). The proof treats general complex operators; no reduction to a self-adjoint sequence is required.

PC05. A weakly compact family has a single positive controller

Let K\mathcal K be relatively weakly compact. PC02 gives its norm boundedness. For every ε>0\varepsilon>0, there are a finite F⊂KF\subset\mathcal K and δ>0\delta>0 such that

x∈M1,Γψ(x∗x+xx∗)<δ (ψ∈F)⟹sup⁡ϕ∈K∣ϕ(x)∣<ε.(PC14) x\in M_1,\quad \Gamma_\psi(x^*x+xx^*)<\delta\ (\psi\in F) \quad\Longrightarrow\quad \sup_{\phi\in\mathcal K}|\phi(x)|<\varepsilon. \tag{PC14}

The empty and zero families have this property immediately. If it fails for a nonzero family at some 2ε>02\varepsilon>0, choose ϕ1∈K\phi_1\in\mathcal K. The failed supremum is at least 2ε2\varepsilon, so a member with modulus at least ε\varepsilon can be chosen. Its failure recursively supplies an∈M1a_n\in M_1 and ϕn+1∈K\phi_{n+1}\in\mathcal K such that

Γϕk(an∗an+anan∗)<2−n(k≤n),∣ϕn+1(an)∣≥ε.(PC15) \Gamma_{\phi_k}(a_n^*a_n+a_na_n^*)<2^{-n}\quad(k\le n), \qquad |\phi_{n+1}(a_n)|\ge\varepsilon. \tag{PC15}

Put αk=2−k/(1+∥Γϕk∥)\alpha_k=2^{-k}/(1+\|\Gamma_{\phi_k}\|), ω=∑kαkΓϕk\omega=\sum_k\alpha_k\Gamma_{\phi_k}, and e=s(ω)e=s(\omega). The sum is norm convergent and ∥ω∥≤1\|\omega\|\le1. For hn=an∗an+anan∗≤2h_n=a_n^*a_n+a_na_n^*\le2, the finite-head and tail estimates give

ω(hn)≤2−n∑k≤nαk+2∑k>n2−k≤3⋅2−n⟶0.(PC16) \omega(h_n) \le2^{-n}\sum_{k\le n}\alpha_k +2\sum_{k>n}2^{-k} \le3\cdot2^{-n}\longrightarrow0. \tag{PC16}

Every ϕk\phi_k is supported by ee. For bn=eaneb_n=ea_ne, positivity and support compression give ω(bn∗bn+bnbn∗)≤ω(hn)\omega(b_n^*b_n+b_nb_n^*)\le\omega(h_n). By PC03, bn→0b_n\to0 strongly* in eMeeMe.

Apply PC02's extraction to the weak closure of K\mathcal K. A subsequence ϕnj\phi_{n_j} converges weakly to a normal ϕ0\phi_0; restriction to eMeeMe preserves this convergence. PC04 now gives sup⁡j∣ϕnj(bn)∣→0\sup_j|\phi_{n_j}(b_n)|\to0. But support compression and (PC15) say ∣ϕnj(bnj−1)∣≥ε |\phi_{n_j}(b_{n_j-1})|\ge\varepsilon whenever nj≥2n_j\ge2. Since nj−1→∞n_j-1\to\infty, this is a contradiction, proving (PC14).

For m≥1m\ge1, take Fm,δmF_m,\delta_m in (PC14) with ε=1/m\varepsilon=1/m, and set

γm=(1+∑ψ∈Fm∥Γψ∥)−1,ρ=∑m≥12−mγm∑ψ∈FmΓψ.(PC17) \gamma_m=\left(1+\sum_{\psi\in F_m}\|\Gamma_\psi\|\right)^{-1}, \qquad \rho=\sum_{m\ge1}2^{-m}\gamma_m\sum_{\psi\in F_m}\Gamma_\psi. \tag{PC17}

This is positive and normal, with norm at most one. Given ε>0\varepsilon>0, choose m>1/εm>1/\varepsilon and δ=2−mγmδm\delta=2^{-m}\gamma_m\delta_m. Positivity shows that ρ(x∗x+xx∗)<δ\rho(x^*x+xx^*)<\delta forces each envelope in FmF_m below δm\delta_m, so (PC14) gives the strict uniform bound 1/m<ε1/m<\varepsilon. This proves (PC1). The controller is a sum of positive envelopes, not a sum of arbitrary complex functionals.

PC06. Uniform seminorm continuity forces normality

Let f∈M∗f\in M^* be bounded, ρ∈M∗+\rho\in M_*^+, and suppose that for every η>0\eta>0 there is d>0d>0 such that

x∈M1,qρ(x)<d⟹∣f(x)∣<η,qρ(x)=ρ(x∗x+xx∗)1/2.(PC18) \begin{gathered} x\in M_1,\quad q_\rho(x)<d\quad\Longrightarrow\quad |f(x)|<\eta,\\ q_\rho(x)=\rho(x^*x+xx^*)^{1/2}. \end{gathered} \tag{PC18}

We prove f∈M∗f\in M_*. The zero functional is immediate. Fix η>0\eta>0, choose dd in (PC18), and put C=∥f∥/dC=\|f\|/d. For every xx, scaling to the unit ball and splitting according as qρ(x)<d∥x∥q_\rho(x)<d\|x\| or the reverse gives

∣f(x)∣≤η∥x∥+Cqρ(x).(PC19) |f(x)|\le\eta\|x\|+Cq_\rho(x). \tag{PC19}

Use the normal positive GNS representation πρ\pi_\rho, with cyclic vector ξ\xi, from NC01b; faithfulness is unnecessary. The real-linear map

Tρx=(πρ(x)ξ,πρ(x∗)ξ)has∥Tρx∥=qρ(x).(PC20) T_\rho x=(\pi_\rho(x)\xi,\pi_\rho(x^*)\xi) \quad\text{has}\quad \|T_\rho x\|=q_\rho(x). \tag{PC20}

Give the underlying real space Z=MR⊕1(Hρ⊕2Hρ)RZ=M_{\mathbb R}\oplus_1(H_\rho\oplus_2H_\rho)_{\mathbb R} the sum norm. On the real-linear graph subspace x↦(ηx,CTρx)x\mapsto(\eta x,CT_\rho x), define a functional with value Re⁡f(x)\operatorname{Re}f(x). It is well defined because η>0\eta>0, and has norm at most one by (PC19). Real Hahn–Banach F01 extends it to G(z,w)=g(z)+h(w)G(z,w)=g(z)+h(w) on ZZ, with ∥g∥,∥h∥≤1\|g\|,\|h\|\le1. Hence

Re⁡f(x)=ηg(x)+Ch(Tρx).(PC21) \operatorname{Re}f(x)=\eta g(x)+Ch(T_\rho x). \tag{PC21}

To represent hh on the complex Hilbert sum, complexify it as w↦h(w)−ih(iw)w\mapsto h(w)-ih(iw). This is complex linear and bounded by 2∥h∥∥w∥2\|h\|\|w\|. H00's Hilbert representation gives vectors u,v∈Hρu,v\in H_\rho such that h(a,b)=Re⁡⟨u,a⟩+Re⁡⟨v,b⟩h(a,b)=\operatorname{Re}\langle u,a\rangle+\operatorname{Re}\langle v,b\rangle. Moving the adjoint in the second coefficient shows that

nη(x)=C(⟨u,πρ(x)ξ⟩+⟨ξ,πρ(x)v⟩)(PC22) n_\eta(x)=C\bigl(\langle u,\pi_\rho(x)\xi\rangle +\langle\xi,\pi_\rho(x)v\rangle\bigr) \tag{PC22}

is complex linear and normal, and Re⁡nη(x)=Ch(Tρx)\operatorname{Re}n_\eta(x)=Ch(T_\rho x). Normality follows from the explicitly proved normal GNS representation; these are its vector coefficients. A complex-linear functional is recovered from its real part by f(x)=Re⁡f(x)−iRe⁡f(ix)f(x)=\operatorname{Re}f(x)-i\operatorname{Re}f(ix). Consequently

f(x)−nη(x)=η(g(x)−ig(ix)),∥f−nη∥≤2η.(PC23) f(x)-n_\eta(x)=\eta\bigl(g(x)-ig(ix)\bigr), \qquad \|f-n_\eta\|\le2\eta. \tag{PC23}

The predual is norm closed in M∗M^*, by H03 and the quotient-distance argument in NC01b. Letting η↓0\eta\downarrow0 proves f∈M∗f\in M_*. If ρ=0\rho=0, (PC18) already makes f=0f=0; its zero GNS representation also fits the estimates. This proof uses no complete-additivity converse or functional polar decomposition.

The actual graph and error decomposition

The following schematic displays the real graph extension in (PC20)–(PC23). The boxes denote spaces and functional summands; their drawn widths are schematic. Real Hilbert representation turns the lower summand into the two normal vector coefficients in (PC22). Complexification gives the exact error bound 2η2\eta.

Graph extension that proves normality The underlying real algebra maps x to eta x and C T rho x in a real sum space with norm eta norm x plus C q rho x. The real Hahn Banach extension decomposes the real part of f into eta g and C h composed with T rho. Complexification gives f equal to a normal vector functional n eta plus an error of norm at most two eta. PC06 · A small norm error plus normal vector coefficients M as a real space x ↦ Re f(x) |f(x)| ≤ η‖x‖ + C qρ(x) η > 0, C = ‖f‖/d graph map Z = Mℝ ⊕₁ (Hρ ⊕₂ Hρ)ℝ x ↦ (ηx, C Tρx) Tρx = (πρ(x)ξ, πρ(x*)ξ), ‖Tρx‖ = qρ(x) ‖(ηx, C Tρx)‖Z = η‖x‖ + C qρ(x) real Hahn–Banach Norm error ηg(x), ‖g‖ ≤ 1 gc(x) = η(g(x) − i g(ix)), ‖gc‖ ≤ 2η Normal vector part C h(Tρx), ‖h‖ ≤ 1 Re nη(x) = C h(Tρx); nη is given by PC22 + f = nη + gc, nη is normal, ‖f − nη‖ ≤ 2η η ↓ 0 and norm closedness of M_* imply that f belongs to M_*.

PC07. The controller makes the weak* closure normal

Suppose K\mathcal K is bounded and satisfies (PC1). Its weak* closure LL in M∗M^* lies in a fixed dual ball and is compact by PC02. For f∈Lf\in L, any fixed contraction xx, and a bound sup⁡ψ∈K∣ψ(x)∣<ε/2\sup_{\psi\in\mathcal K}|\psi(x)|<\varepsilon/2, scalar weak* continuity gives ∣f(x)∣≤ε/2<ε|f(x)|\le\varepsilon/2<\varepsilon. Applying (PC1) with ε/2\varepsilon/2, and replacing its quadratic threshold by the corresponding square-root threshold, shows that every f∈Lf\in L satisfies (PC18). PC06 gives L⊂M∗L\subset M_*.

The restricted weak* topology is exactly σ(M∗,M)\sigma(M_*,M), because H03 identifies (M∗)∗=M(M_*)^*=M. Thus LL is a weakly compact set containing K\mathcal K. It is also weakly closed, since a compact subset of a Hausdorff space is closed. The weak closure of K\mathcal K lies in LL and is compact. This proves relative weak compactness and finishes the equivalence in PC00.

PC08. The faithful-state test used by ordinary multipliers

Suppose M≠0M\ne0 has a faithful normal state φ\varphi, and put

∥x∥#=(φ(x∗x)+φ(xx∗)2)1/2.(PC24) \|x\|_\#=\left(\frac{\varphi(x^*x)+\varphi(xx^*)}{2}\right)^{1/2}. \tag{PC24}

For a norm-bounded K⊂M∗\mathcal K\subset M_*, PC00 is equivalent to

∀ε>0 ∃δ>0:x∈M1, ∥x∥#<δ⟹sup⁡ψ∈K∣ψ(x)∣<ε.(PC25) \forall\varepsilon>0\ \exists\delta>0:\quad x\in M_1,\ \|x\|_\#<\delta \quad\Longrightarrow\quad \sup_{\psi\in\mathcal K}|\psi(x)|<\varepsilon. \tag{PC25}

If (PC25) holds, take ρ=φ\rho=\varphi in (PC1), with its threshold 2δ22\delta^2. Conversely let ρ\rho be the PC00 controller. On M1M_1, sufficiently small ∥x∥#\|x\|_\# makes ρ(x∗x+xx∗)\rho(x^*x+xx^*) uniformly small. Otherwise some a>0a>0 and contractions xnx_n would satisfy ∥xn∥#<1/n\|x_n\|_\#<1/n but ρ(xn∗xn+xnxn∗)≥a\rho(x_n^*x_n+x_nx_n^*)\ge a. PC03 for φ\varphi gives bounded strong* convergence to zero, and (PC8) for ρ\rho contradicts the latter inequality. Compose this modulus with the one in (PC1) to obtain (PC25).

This is exactly the quadratic predual compactness criterion and faithful-state specialization required by ordinary multipliers. It places no factor or separable-predual hypothesis on that lesson. It asserts compactness of functional families, rather than preservation of the limit of an individually moving functional.

PC09. Constructing the Bernoulli measure and its concrete predual

The moving-functional example in that lesson uses Ω={−1,1}N\Omega=\{-1,1\}^{\mathbb N}. Here is its probability and predual construction. Give Ω\Omega the metric

d(s,t)=∑j≥12−j1{sj≠tj}.(PC26) d(s,t)=\sum_{j\ge1}2^{-j}1_{\{s_j\ne t_j\}}. \tag{PC26}

Positivity, symmetry and the triangle inequality follow coordinatewise; zero distance forces agreement of every coordinate. For a sign word ww of length nn, its prefix cylinder [w][w] has diameter at most 2−n2^{-n}. It is clopen: a sufficiently small metric ball fixes each of its first nn coordinates, and its complement is a finite union of other prefix cylinders.

The space is compact. If an open cover has no finite subcover, at least one of the two first-coordinate cylinders has no finite subcover; recursively at least one child of each selected cylinder has the same property. The nested words specify a point ss. A cover member containing ss contains a metric ball of some radius r>0r>0. For 2−n<r2^{-n}<r, the selected length-nn cylinder lies entirely in that member, contradicting its lack of a finite subcover. This proves compactness directly from finite splitting and countable recursion.

Functions depending on finitely many coordinates form a unital algebra A\mathcal A of continuous cylinder functions. They are uniformly dense in C(Ω)C(\Omega): for continuous ff, compact-metric uniform continuity from SS2 makes the oscillation on every sufficiently long prefix cylinder small. Taking the value at its canonical representative, with all remaining signs +1+1, supplies a cylinder function uniformly close to ff.

If f∈Af\in\mathcal A depends on its first nn coordinates, put

I(f)=2−n∑w∈{−1,1}nf(w,+1,+1,…).(PC27) I(f)=2^{-n}\sum_{w\in\{-1,1\}^n}f(w,+1,+1,\ldots). \tag{PC27}

Refining to length m≥nm\ge n repeats each value 2m−n2^{m-n} times, so the definition is independent of the stage. It is linear, positive on real nonnegative functions, unital and bounded by ∥f∥∞\|f\|_\infty. For arbitrary continuous real ff, uniformly convergent cylinder approximants make their II-values Cauchy, independently of the approximants. Their limits define a positive real-linear extension to C(Ω,R)C(\Omega,\mathbb R): positivity follows by choosing the nonnegative canonical-value approximants when f≥0f\ge0. Apply RM01–RM05 to obtain a finite regular Borel probability μ\mu with

μ([w])=2−n(∣w∣=n).(PC28) \mu([w])=2^{-n}\quad(|w|=n). \tag{PC28}

Thus any specified signs at rr distinct coordinates have joint probability 2−r2^{-r}. To verify this even for nonconsecutive coordinates, take a prefix length beyond them and sum the masses of the 2n−r2^{n-r} compatible length-nn cylinders. This proves finite independence without importing a product-measure extension theorem. One may use this Borel measure or its completion from SC02; SS4 supplies measurable representatives and the same scalar Hilbert quotient.

The diagram is a schematic of the exact clopen fibres of the first-two-coordinate projection π2:Ω→{−1,1}2\pi_2:\Omega\to\{-1,1\}^2. Each fibre has mass 1/41/4 and diameter at most 1/41/4 for (PC26); its drawn width is schematic, with the metric bound explicitly displayed. Longer prefixes split each fibre equally and shrink its diameter bound by another factor of two.

Four exact Bernoulli prefix cylinders The first two coordinates partition the sign-sequence space into four clopen fibres labelled plus plus, plus minus, minus plus and minus minus. Each has probability one quarter and metric diameter at most one quarter. The two coordinate functions have the corresponding signs and their expectations and mixed expectation are zero. PC09 · The fibres of π₂(s) = (s₁, s₂) Ω is the disjoint union of four clopen cylinders; d(s,t) = Σⱼ≥₁ 2⁻ʲ 1{sⱼ ≠ tⱼ} [+,+][+,−] [−,+][−,−] μ = 1/4, diam ≤ 1/4μ = 1/4, diam ≤ 1/4 μ = 1/4, diam ≤ 1/4μ = 1/4, diam ≤ 1/4 (r₁,r₂) = (1,1)(r₁,r₂) = (1,−1) (r₁,r₂) = (−1,1)(r₁,r₂) = (−1,−1) ∫ r₁ dμ = ∫ r₂ dμ = 0, ∫ r₁r₂ dμ = 0, ∫ rⱼ² dμ = 1

Put H=L2(μ)H=L^2(\mu), supplied by SS1, and represent f∈L∞(μ)f\in L^\infty(\mu) as multiplication MfM_f on HH. Its norm is ∥f∥∞\|f\|_\infty: the upper bound follows by integrating ∣fξ∣2|f\xi|^2, while indicators of positive-measure sets where ∣f∣|f| exceeds any smaller number give the lower bound. The map is a faithful unital *-representation.

Its image is a von Neumann algebra. Suppose T∈B(H)T\in B(H) commutes with all bounded multiplication operators, and put g=T1g=T1. For bounded ff, commutation gives Tf=fgTf=fg. From ∥1Ag∥2≤∥T∥μ(A)1/2\|1_Ag\|_2\le\|T\|\mu(A)^{1/2}, every measurable set AA has ∫A∣g∣2≤∥T∥2μ(A)\int_A|g|^2\le\|T\|^2\mu(A). A positive-measure set where ∣g∣>∥T∥+ε|g|>\|T\|+\varepsilon would contradict that inequality. Hence g∈L∞g\in L^\infty. Bounded functions are dense in L2L^2 by truncation, so T=MgT=M_g. The multiplication algebra is therefore its own commutant, hence equals its bicommutant and is strongly closed by H01.

Its predual is exactly L1(μ)L^1(\mu), with pairing h↦ℓhh\mapsto\ell_h, ℓh(Mf)=∫hf dμ\ell_h(M_f)=\int hf\,d\mu. For an integrable complex hh, let

u=∣h∣1/2,v={h∣h∣−1/2h≠0,0h=0. u=|h|^{1/2},\qquad v=\begin{cases}h|h|^{-1/2}&h\ne0,\\0&h=0.\end{cases}

Then u,v∈L2u,v\in L^2 and ℓh(Mf)=⟨u,Mfv⟩\ell_h(M_f)=\langle u,M_fv\rangle, so it is normal. Its norm is ∥h∥1\|h\|_1: the upper bound is the integral inequality, and the bounded function f=h‾/∣h∣f=\overline h/|h| off the zero set, zero on that set, attains the integral of ∣h∣|h|.

Conversely every normal functional has H03's series ∑j⟨uj,Mfvj⟩\sum_j\langle u_j,M_fv_j\rangle, with ∑j∥uj∥2∥vj∥2<∞\sum_j\|u_j\|_2\|v_j\|_2<\infty. Cauchy–Schwarz puts each u‾jvj\overline u_jv_j in L1L^1, and their sum converges in L1L^1. The latter completeness follows directly from scalar integration: from an L1L^1-Cauchy sequence choose a subsequence whose successive difference norms are below 2−j2^{-j}. Monotone convergence makes the sum of their pointwise absolute differences finite outside a measurable null set, with finite integral. The pointwise series defines an integrable limit, and the integral of its tail bounds the subsequence's L1L^1 error. The full Cauchy sequence has that same limit. Consequently the coefficient series has density h=∑ju‾jvjh=\sum_j\overline u_jv_j and equals ℓh\ell_h. This proves the predual identification with its exact norm, using no Radon–Nikodym theorem.

Finally φ(Mf)=∫f dμ=⟨1,Mf1⟩\varphi(M_f)=\int f\,d\mu=\langle1,M_f1\rangle is a faithful normal state, since a nonnegative integrable function of integral zero vanishes almost everywhere. The coordinates rn(s)=snr_n(s)=s_n have mean zero, square one, and pairwise zero inner products by (PC28). Bessel's finite orthogonal-projection estimate gives

∑n=1N∣∫rnf dμ∣2≤∥f∥22.(PC29) \sum_{n=1}^N\left|\int r_nf\,d\mu\right|^2\le\|f\|_2^2. \tag{PC29}

Every bounded ff lies in L2L^2, since μ(Ω)=1\mu(\Omega)=1, so those integrals tend to zero. Under the just-proved predual identification, ℓrn→0\ell_{r_n}\to0 weakly. This supplies the actual probability, normality and weak-null inputs used by the lesson's Bernoulli counterexample.