Normal products and closed operator graphs

Written by GPT-6.1 Sol (OpenAI), Ultra, September 2026. Self-checked by the writing AI. Original text: CC0 1.0.

The spatial tensor product of von Neumann algebras supports normal maps and normal functionals. A commuting action need not realize that product normally. We will characterize normal factorization by a product functional, then use two-by-two operator matrices to recognize unbounded observables through their graphs.

Prerequisites are Spatial tensor products of von Neumann algebras, Tensor independence and ideals, Completely positive maps, and Polar decomposition of functionals. For the unbounded graph calculation, use the proved closed-form representation theorem and spectral calculus with exact domains. Section 3 derives the closed-operator adjoint and polar decomposition from these results before using them. There is no separability or countable-decomposability assumption on the algebras or Hilbert spaces.

Freely readable treatments are Blackadar’s Operator Algebras, on normal completely positive tensor maps, slices and product states, and Peterson’s Notes on operator algebras, April 6, 2015, on graph adjoints, positive operators, spectral calculus and polar decomposition. The proofs here include the normal preadjoint extension, all four graph entries and the nondense-domain formula. The polar isometry’s initial space is the closure of the range of the absolute value. Takesaki, Stinespring, and Rieffel and van Daele provide further scholarly context.

1. Normal completely positive maps tensor normally

Theorem 1.1. Let Φ:M→P\Phi:M\to P and Ψ:N→Q\Psi:N\to Q be normal completely positive maps of von Neumann algebras. There is a unique normal completely positive map Θ:M⊗ˉN⟶P⊗ˉQ,Θ(a⊗b)=Φ(a)⊗Ψ(b). \Theta:M\bar\otimes N\longrightarrow P\bar\otimes Q, \qquad \Theta(a\otimes b)=\Phi(a)\otimes\Psi(b). Its norm is ∥Φ∥∥Ψ∥\|\Phi\|\|\Psi\|.

Proof. The C*-tensor theorem gives a completely positive map Θ0:M⊗min⁡N→P⊗min⁡Q\Theta_0:M\otimes_{\min}N\to P\otimes_{\min}Q with that norm. On finite sums of normal product functionals define T(∑iαi⊗βi)=∑i(αi∘Φ)⊗(βi∘Ψ). T\Big(\sum_i\alpha_i\otimes\beta_i\Big) =\sum_i(\alpha_i\circ\Phi)\otimes(\beta_i\circ\Psi). This is the Banach adjoint of Θ0\Theta_0 on the indicated subspace. In particular it is well defined and bounded by ∥Φ∥∥Ψ∥\|\Phi\|\|\Psi\|. Normality of the two factor maps makes every displayed factor functional normal.

The product-predual theorem in Spatial tensor products says that these finite sums are norm dense in the predual of each spatial tensor product, and that their norm equals their functional norm on the minimal C*-product. Hence TT extends to a map (P⊗ˉQ)∗→(M⊗ˉN)∗(P\bar\otimes Q)_*\to(M\bar\otimes N)_*. Its adjoint Θ=T∗\Theta=T^* is normal and agrees with Θ0\Theta_0 on algebraic tensors.

To verify complete positivity of the extension, take a positive matrix XX over M⊗ˉNM\bar\otimes N. By Kaplansky density, approximate its positive square root strongly by a bounded net of matrices over the minimal C*-product. Their squares are positive and converge ultraweakly to XX. Their images under every matrix amplification of Θ\Theta are positive; ultraweak continuity and closedness of the positive cone give positivity of Θ(k)(X)\Theta^{(k)}(X). Thus Θ\Theta is completely positive. The upper norm bound comes from TT, and elementary tensors give the opposite bound. Algebraic tensors are ultraweakly dense, proving uniqueness. □\square

For example, normal states φ∈M∗\varphi\in M_*, ψ∈N∗\psi\in N_* have a normal product state. Its support is s(φ⊗ψ)=s(φ)⊗s(ψ). s(\varphi\otimes\psi)=s(\varphi)\otimes s(\psi). The support and faithfulness proof is in Theorem 10.1 of Spatial tensor products. It covers zero functionals and arbitrary Hilbert spaces.

2. When a commuting pair splits normally

Let A,B⊆MA,B\subseteq M be commuting subfactors generating the factor MM, with their identities equal to that of MM. Multiplication is algebraically injective by the factor–commutant theorem. Its extension to A⊗ˉBA\bar\otimes B asks for more than algebraic independence.

Theorem 2.1. The following are equivalent.

  1. Multiplication extends to a normal *-isomorphism A⊗ˉB→MA\bar\otimes B\to M.
  2. There is a nonzero normal functional f∈M∗f\in M_* with f(ab)=f(a)f(b)(a∈A,b∈B). f(ab)=f(a)f(b)\quad(a\in A,b\in B).
  3. There is a nonzero normal bounded linear map E:M→AE:M\to A satisfying E(axb)=aE(x)b(a,b∈A,x∈M). E(axb)=aE(x)b\quad(a,b\in A,x\in M).

One may interchange AA and BB in condition 3. No positivity is required in conditions 2 or 3.

Proof. If 1 holds, take any normal state β\beta of BB. Transport the normal slice idA⊗ˉβ\mathrm{id}_A\bar\otimes\beta to obtain the map in 3. Take a normal state α\alpha of AA and compose with the slice to obtain a product state, proving 2 as well.

Suppose 2 holds. Nonzeroness and the product identity imply f(1)=1f(1)=1. The restrictions fA,fBf_A,f_B are nonzero normal functionals. Polar decomposition supplies partial isometries vA∈A,vB∈Bv_A\in A,v_B\in B such that α(a)=fA(vAa),β(b)=fB(vBb) \alpha(a)=f_A(v_Aa),\qquad \beta(b)=f_B(v_Bb) are positive nonzero normal functionals. Define g(x)=f(vAvBx)g(x)=f(v_Av_Bx). On the algebraic span of products, g(ab)=α(a)β(b)g(ab)=\alpha(a)\beta(b). Hence gg is positive on algebraic squares. Bounded strong approximation of square roots, followed by normality of gg, makes it positive on all of MM. Its value at the identity is α(1)β(1)>0\alpha(1)\beta(1)>0. Normalize g,α,βg,\alpha,\beta to states, retaining the product identity.

The GNS representation of a normal state is normal. For completeness, on cyclic vectors its positive matrix coefficients are x↦g(c∗xc)x\mapsto g(c^*xc), which preserve bounded increasing limits; approximation of arbitrary vectors extends that preservation. The same argument gives normality for the two marginal GNS representations. A nonzero normal representation of a factor is faithful: its kernel is an ultraweakly closed ideal, hence is generated by a central projection, and a factor has only the two central projections.

Now define on the dense cyclic subspaces U(πα(a)ξα⊗πβ(b)ξβ)=πg(ab)ξg. U\big(\pi_\alpha(a)\xi_\alpha\otimes \pi_\beta(b)\xi_\beta\big)=\pi_g(ab)\xi_g. The product identity gives equality of the inner products of every pair of finite sums, so UU extends to an isometry. Its range is dense: the algebraic span of products is strongly dense in MM, and bounded strong approximation implies convergence on the GNS cyclic vector by normality. Thus UU is unitary. It intertwines the two factor actions. Their normal weak closures therefore identify πg(M)\pi_g(M) with πα(A)⊗ˉπβ(B)\pi_\alpha(A)\bar\otimes\pi_\beta(B). All three representations are faithful normal representations, so this is exactly the isomorphism in 1.

Finally suppose 3 holds. For b∈Bb\in B, bimodularity and commutation show aE(b)=E(b)aaE(b)=E(b)a for every a∈Aa\in A. Since AA is a factor, E(b)=ω(b)1E(b)=\omega(b)1 for a normal functional ω∈B∗\omega\in B_*. It is nonzero: otherwise EE would vanish on every product and normal density would give E=0E=0. Choose d∈Bd\in B with ω(d)≠0\omega(d)\ne0, and set Ed(x)=E(xd)/ω(d)E_d(x)=E(xd)/\omega(d). It remains normal and bimodular, and Ed(1)=1E_d(1)=1. With a normal state α\alpha on AA, put f=α∘Edf=\alpha\circ E_d. Then f(ab)=α(a)ω(bd)ω(d)=f(a)f(b), f(ab)=\alpha(a)\frac{\omega(bd)}{\omega(d)}=f(a)f(b), and f(1)=1f(1)=1, proving 2. The same proof works with the factors interchanged. □\square

If a normal map is initially known to satisfy the bimodule identity only for x∈Bx\in B, it satisfies it for all x∈Mx\in M. First commute the factors to verify it on finite product sums, then use ultraweak density and normality. Thus the restricted identity suffices in condition 3.

3. A graph is a bounded encoding of an unbounded operator

Adjoints and closure of a graph

First consider a densely defined linear map S:D(S)⊆H→LS:D(S)\subseteq H\to L, where the two Hilbert spaces may differ. Inner products are linear in the first variable. Its adjoint has domain D(S∗)={y∈L:there exists z∈H with ⟨Sx,y⟩=⟨x,z⟩(x∈D(S))}. \begin{aligned} D(S^*)=\{y\in L:{}&\text{there exists }z\in H\text{ with }\\ &\langle Sx,y\rangle=\langle x,z\rangle\quad(x\in D(S))\}. \end{aligned} Density makes zz unique; set S∗y=zS^*y=z. Directly from this definition, G(S)⊥={(−S∗y,y):y∈D(S∗)}.(3.a) G(S)^\perp=\{(-S^*y,y):y\in D(S^*)\}. \tag{3.a} Thus S∗S^* is closed: if yn→yy_n\to y and S∗yn→zS^*y_n\to z, the defining identities pass to the limit and give S∗y=zS^*y=z.

The vertical part of the closed subspace G(S)‾=G(S)⊥⊥\overline{G(S)}=G(S)^{\perp\perp} consists precisely of the vectors (0,y)(0,y) with y⊥D(S∗)y\perp D(S^*), by (3.a). A linear subspace of H⊕LH\oplus L is a graph exactly when it has no nonzero vertical vector. Consequently SS is closable exactly when D(S∗)D(S^*) is dense in LL. In that case applying (3.a) to S∗S^*, with the two spaces exchanged, identifies G(S)‾\overline{G(S)} with G(S∗∗)G(S^{**}). Therefore the closure is S∗∗S^{**}. In particular, for a closed densely defined TT, the adjoint T∗T^* is closed and densely defined and T∗∗=TT^{**}=T.

Polar decomposition for closed operators

Proposition. Let T:D(T)⊆H→LT:D(T)\subseteq H\to L be closed and densely defined. Then A=T∗T,D(A)={x∈D(T):Tx∈D(T∗)} \begin{gathered} A=T^*T,\\ D(A)=\{x\in D(T):Tx\in D(T^*)\} \end{gathered} is nonnegative self-adjoint. Its positive square root P=A1/2P=A^{1/2} satisfies D(P)=D(T),∥Px∥=∥Tx∥(x∈D(T)).(3.b) \begin{aligned} D(P)&=D(T),\\ \|Px\|&=\|Tx\|\quad(x\in D(T)). \end{aligned} \tag{3.b} There is a unique partial isometry v:H→Lv:H\to L, zero on ker⁡T\ker T, whose initial and final spaces are (ker⁡T)⊥(\ker T)^\perp and ran⁡T‾\overline{\operatorname{ran}T}, and for which T=vPT=vP on this exact domain.

Proof. On D(T)D(T), put q(x,y)=⟨Tx,Ty⟩q(x,y)=\langle Tx,Ty\rangle. Its form norm is the graph norm, so qq is a densely defined closed nonnegative form. The closed-form representation theorem supplies a unique nonnegative self-adjoint AA, with D(A1/2)=D(T)D(A^{1/2})=D(T) and (3.b). Its operator-domain criterion says that x∈D(A)x\in D(A) precisely when some z∈Hz\in H satisfies ⟨Tx,Ty⟩=⟨z,y⟩\langle Tx,Ty\rangle=\langle z,y\rangle for every y∈D(T)y\in D(T). Taking conjugates is exactly the condition Tx∈D(T∗)Tx\in D(T^*) and T∗Tx=zT^*Tx=z. This proves the displayed identification of AA, rather than presupposing self-adjointness of T∗TT^*T.

Define v(Px)=Txv(Px)=Tx for x∈D(P)x\in D(P). Equation (3.b) makes this well defined and isometric, so it extends to an isometry from ran⁡P‾\overline{\operatorname{ran}P} onto ran⁡T‾\overline{\operatorname{ran}T}. Since P=P∗P=P^*, orthogonality to its range is exactly membership in its kernel: a vector orthogonal to all PxPx lies in D(P∗)D(P^*) with P∗y=0P^*y=0. Equation (3.b) also gives ker⁡P=ker⁡T\ker P=\ker T. Extend vv by zero on that kernel. The resulting partial isometry has the asserted initial and final spaces and satisfies T=vPT=vP. Its values on the dense range of PP and on the kernel determine it uniquely. The positive operator PP itself is uniquely determined by the closed form and (3.b).

The adjoint formula retains its domain: T∗=Pv∗,D(T∗)={y∈L:v∗y∈D(P)}.(3.c) \begin{gathered} T^*=Pv^*,\\ D(T^*)=\{y\in L:v^*y\in D(P)\}. \end{gathered} \tag{3.c} Indeed, ⟨Tx,y⟩=⟨Px,v∗y⟩\langle Tx,y\rangle=\langle Px,v^*y\rangle for every x∈D(P)x\in D(P), and the defining adjoint criterion and self-adjointness of PP prove both directions. Thus TT∗TT^* is the transport of P2P^2 to ran⁡T‾\overline{\operatorname{ran}T}, with zero operator on its orthogonal complement. Finally, the spectral calculus gives en=1[0,n](P)↑1e_n=1_{[0,n]}(P)\uparrow1 strongly, enH⊆D(T)e_nH\subseteq D(T), and ∥Ten∥≤n\|Te_n\|\le n. No countability of a basis is used. □\square

The graph identities and polar-decomposition proposition above prove the adjoint, self-adjointness and exact-domain facts used below. Their unbounded prerequisites are the linked closed-form representation theorem and spectral calculus. If a closed operator has nondense domain, apply the proposition to the densely defined map from D(T)‾\overline{D(T)} into LL; this is the convention used below.

The graph projection and affiliation

Let T:D(T)⊆H→HT:D(T)\subseteq H\to H be a closed linear operator. Its domain is allowed to be nondense. The graph G(T)={(ξ,Tξ):ξ∈D(T)}⊆H⊕H G(T)=\{(\xi,T\xi):\xi\in D(T)\}\subseteq H\oplus H is closed, so has a bounded orthogonal projection pTp_T.

We say TT is affiliated with M⊆B(H)M\subseteq B(H) when every unitary u∈M′u\in M' satisfies uD(T)=D(T)uD(T)=D(T) and Tuξ=uTξTu\xi=uT\xi on the domain.

Theorem 3.1. A closed operator TT is affiliated with MM exactly when pT∈M2(M)p_T\in M_2(M).

Proof. The domain and commutation conditions say exactly that u⊕uu\oplus u takes G(T)G(T) onto itself. A closed subspace is invariant under a unitary and its inverse exactly when its projection commutes with that unitary. Thus affiliation is equivalent to pTp_T commuting with every u⊕uu\oplus u, u∈U(M′)u\in U(M'). Unitaries linearly span M′M', so this means all four matrix entries of pTp_T lie in (M′)′=M(M')'=M. □\square

Reference: [Takesaki, Exercise IV.5.3] specifies unitaries of MM in its affiliation definition; the graph criterion requires unitaries of M′M'. For M=M2(C)M=M_2(\mathbb C) and T=diag⁡(1,2)T=\operatorname{diag}(1,2), the graph projection belongs to M2(M)M_2(M), while TT does not commute with the swap unitary of MM.

Theorem 3.2. Suppose first that TT is densely defined. Write R=(1+T∗T)−1,S=(1+TT∗)−1. R=(1+T^*T)^{-1},\qquad S=(1+TT^*)^{-1}. Then pT=(RT∗STR1−S).(3.1) p_T=\begin{pmatrix} R&T^*S\\ TR&1-S \end{pmatrix}. \tag{3.1} All entries in (3.1) are bounded operators. The off-diagonal expressions denote their everywhere-defined bounded extensions.

Proof. In the polar decomposition T=v∣T∣T=v|T|, put r=(1+∣T∣2)−1r=(1+|T|^2)^{-1} and c=∣T∣rc=|T|r. Functional calculus gives ∥c∥≤1/2\|c\|\le1/2, r2+c2=rr^2+c^2=r, and c2=(1−r)−(1−r)2c^2=(1-r)-(1-r)^2. Also TR=vc,T∗S=cv∗,1−S=v(1−r)v∗. TR=vc,\qquad T^*S=cv^*,\qquad 1-S=v(1-r)v^*. The last identity holds on the closure of the range of TT; both sides are zero on its orthogonal complement. These identities show that the matrix in (3.1) is self-adjoint and idempotent.

Its range lies in G(T)G(T). For input (ξ,η)(\xi,\eta), the first component is rξ+cv∗ηr\xi+cv^*\eta, which belongs to D(T)D(T) because both ∣T∣r|T|r and ∣T∣c=1−r|T|c=1-r are bounded. Applying TT gives the second component. Conversely it fixes (ξ,Tξ)(\xi,T\xi) for ξ∈D(T)\xi\in D(T), by rξ+cv∗Tξ=rξ+(1−r)ξ=ξr\xi+cv^*T\xi=r\xi+(1-r)\xi=\xi and the corresponding lower identity. Hence this is precisely the graph projection. □\square

For a nondense domain let H0=D(T)‾H_0=\overline{D(T)}, let j:H0↪Hj:H_0\hookrightarrow H be inclusion, and view T0T_0 as a densely defined closed map H0→HH_0\to H. Its adjoint is T0∗:D(T0∗)⊆H→H0T_0^*:D(T_0^*)\subseteq H\to H_0. The same proof for two different Hilbert spaces gives pT=(j(1+T0∗T0)−1j∗jT0∗(1+T0T0∗)−1T0(1+T0∗T0)−1j∗1−(1+T0T0∗)−1).(3.2) p_T=\begin{pmatrix} j(1+T_0^*T_0)^{-1}j^*&jT_0^*(1+T_0T_0^*)^{-1}\\ T_0(1+T_0^*T_0)^{-1}j^*&1-(1+T_0T_0^*)^{-1} \end{pmatrix}. \tag{3.2} The upper-left entry vanishes on H0⊥H_0^\perp. If TT is affiliated with MM, H0H_0 is invariant under the commutant, so its projection belongs to MM; Theorem 3.1 still applies without change.

4. A joint algebra can have no normal product state

An instructive commutative example separates norm closure from weak closure. Let a,b>0a,b>0 with a/ba/b irrational. Inside L∞(R)L^\infty(\mathbb R), let AA and BB consist of the essentially bounded functions of period aa and period bb, respectively.

Proposition 4.1. These two algebras generate L∞(R)L^\infty(\mathbb R) as a von Neumann algebra. Their generated C*-algebra is canonically A⊗min⁡BA\otimes_{\min}B. There is no nonzero normal functional ff on L∞(R)L^\infty(\mathbb R) satisfying f(uv)=f(u)f(v)f(uv)=f(u)f(v) for u∈A,v∈Bu\in A,v\in B.

Proof. The map R⟶(R/aZ)×(R/bZ) \mathbb R\longrightarrow (\mathbb R/a\mathbb Z)\times(\mathbb R/b\mathbb Z) is continuous and injective: an equal pair of residues would make a difference simultaneously an integer multiple of both periods. The real line and the two-circle torus are standard Borel spaces. The injective Borel-map theorem gives a Borel inverse on the image. Therefore the two residue maps jointly generate the Borel sigma-algebra of R\mathbb R. Their bounded functions generate all of L∞(R)L^\infty(\mathbb R), including the Lebesgue completion. This uses Theorem 4.3 of Polish spaces and standard Borel spaces.

To prove the C*-claim, verify the no-zero-product condition. If u,vu,v are nonzero periodic functions, put F=∣u∣2,G=∣v∣2F=|u|^2,G=|v|^2. Their period means are positive. Their joint long-interval mean is the product of those means. Here are the details. Approximate F,GF,G in their period L2L^2 spaces by trigonometric polynomials. Long-interval means of the approximation errors converge to the period means of those errors, and Cauchy–Schwarz bounds the error in the mean of the product. For trigonometric polynomials, every mixed nonconstant frequency has the form n/a+m/b≠0n/a+m/b\ne0, so its long-interval mean is zero. Passing to the approximations proves the asserted positive product mean. Thus uvuv cannot vanish almost everywhere. Corollary 3.2 of Tensor independence and ideals now gives the C*-isomorphism.

For the last assertion write a normal functional as integration against h∈L1(R)h\in L^1(\mathbb R), and put H(ξ)=∫Rh(t)e2πiξt dt. H(\xi)=\int_{\mathbb R}h(t)e^{2\pi i\xi t}\,dt. Nonzeroness of a product functional forces f(1)=1f(1)=1, so H(0)=1H(0)=1. The product identity on periodic exponentials gives H(n/a+m/b)=H(n/a)H(m/b)(n,m∈Z).(4.1) H(n/a+m/b)=H(n/a)H(m/b) \qquad(n,m\in\mathbb Z). \tag{4.1} There are integers nk,mkn_k,m_k, with both absolute values tending to infinity, such that nk/a+mk/b→0n_k/a+m_k/b\to0. This follows by the pigeonhole approximation of the irrational number b/ab/a; bounded denominators could not yield arbitrarily small nonzero errors. The Riemann–Lebesgue lemma gives H(nk/a),H(mk/b)→0H(n_k/a),H(m_k/b)\to0. Continuity gives H(nk/a+mk/b)→H(0)=1H(n_k/a+m_k/b)\to H(0)=1, contradicting (4.1).

The two scalar Fourier facts used here follow directly from L1L^1 approximation by step functions on bounded intervals: their transforms are continuous and tend to zero, and the transform difference is bounded uniformly by the L1L^1 difference. □\square

5. Exercises with solutions

Exercise 5.1 (first step). On ℓ2(N)\ell^2(\mathbb N), let Tξ=(nξn)nT\xi=(n\xi_n)_n, with domain ∑nn2∣ξn∣2<∞\sum_n n^2|\xi_n|^2<\infty. Compute the four graph entries and their norms. Is TT affiliated with the diagonal von Neumann algebra?

Solution. The entries are the diagonal multipliers 11+n2,n1+n2,n1+n2,n21+n2. \frac1{1+n^2},\qquad \frac n{1+n^2},\qquad \frac n{1+n^2},\qquad \frac{n^2}{1+n^2}. Their norms are 1/2,1/2,1/2,11/2,1/2,1/2,1, respectively; the final supremum is not attained. All entries lie in the diagonal algebra, so Theorem 3.1 proves affiliation. The graph entries are bounded even though TT is unbounded.

Exercise 5.2 (application). On H=C2H=\mathbb C^2, define a closed operator by D(T)=Ce1D(T)=\mathbb Ce_1 and Te1=2e2Te_1=2e_2. Find its graph projection. Why does the densely defined formula require modification?

Solution. The graph is the span of (e1,2e2)(e_1,2e_2). Its projection has blocks pT=15(e112e122e214e22). p_T=\frac15\begin{pmatrix} e_{11}&2e_{12}\\2e_{21}&4e_{22} \end{pmatrix}. Formula (3.2) gives this: T0∗T0=4T_0^*T_0=4 on H0=Ce1H_0=\mathbb Ce_1, while T0T0∗=4e22T_0T_0^*=4e_{22} on HH. There is no densely defined single-valued adjoint T∗T^* on the original HH in the sense required by (3.1). In particular the upper-left graph block must be zero on e2e_2, rather than a resolvent with value one there.

Exercise 5.3 (further step). In Theorem 2.1, suppose EE is positive and unital as well as normal and bimodular. Show that its scalar restriction to BB is a normal state and that it is the transported slice for that state.

Solution. Write E(b)=ω(b)1E(b)=\omega(b)1. Positivity of EE makes ω\omega positive, and E(1)=1E(1)=1 gives ω(1)=1\omega(1)=1. Thus ω\omega is a normal state. The normal factorization isomorphism makes E(ab)=aω(b)E(ab)=a\omega(b) agree with idA⊗ˉω\mathrm{id}_A\bar\otimes\omega on the ultraweakly dense algebraic span. Normality gives equality everywhere. The existence of this positive map follows from the normal splitting; it is stronger than the arbitrary normal linear map used in the equivalence.

6. The intrinsic product and its concrete realizations

The concrete construction starts with an action on a Hilbert tensor product. There is also a definition using just the two algebras and their preduals. Its central projection records exactly which functionals remain normal in that action.

The additional prerequisite for this section is the universal-bidual and normal-extension theorem: a nondegenerate representation of a C*-algebra CC extends to a normal surjection from C∗∗C^{**}, with a central kernel, and the restriction to the complementary central summand has a normal inverse. The complete existing proof is in Sections 3–8 of Every bounded functional becomes normal in one representation. Section 8 proves normality of that inverse through the preadjoint, without an automatic-normality assumption. This supplies the normal-extension theorem used in Lemma 2.1 of The universal enveloping von Neumann algebra. The automatic normality of a von Neumann algebra isomorphism, when needed below, is the result in Sections 2–4 and 6 of Normal positive maps and their preadjoints. For its bounded scalar-functional step, Lemma 6.3 below gives an alternative using complete additivity. The general normal-weight recovery theorem is unnecessary for that step. The predual, monotone-net and positive-spanning facts remain the stated prerequisites.

Let M,NM,N be von Neumann algebras. Put C=M⊗min⁡N,E=M∗⊙N∗‾ ∥⋅∥C∗⊆C∗.(6.1) C=M\otimes_{\min}N,\qquad E=\overline{M_*\odot N_*}^{\,\|\cdot\|_{C^*}}\subseteq C^*. \tag{6.1} The product functional φ⊗ψ\varphi\otimes\psi on CC is specified by (φ⊗ψ)(a⊗b)=φ(a)ψ(b)(\varphi\otimes\psi)(a\otimes b)=\varphi(a)\psi(b). Here ⊙\odot means the algebraic span, and the closure uses the bounded-functional norm on the minimal C*-product. No assertion about a Banach projective tensor norm is being made.

Theorem 6.1. There is a unique central projection z∈U=C∗∗z\in U=C^{**} such that, under U∗=C∗U_*=C^*, E=U∗z={F∈U∗:F(X)=F(zX) for all X∈U}.(6.2) E=U_*z=\{F\in U_*:F(X)=F(zX)\text{ for all }X\in U\}. \tag{6.2} The dual E∗E^* is canonically the von Neumann algebra UzUz. The map ι:C⟶Uz,c⟼zjC(c)(6.3) \iota:C\longrightarrow Uz,\qquad c\longmapsto z j_C(c) \tag{6.3} is an isometric *-homomorphism with ultraweakly dense range. For any faithful normal nondegenerate representations πM,πN\pi_M,\pi_N, its product representation extends uniquely to a normal isomorphism Θ:Uz⟶P=πM(M)⊗ˉπN(N),Θι(a⊗b)=πM(a)⊗πN(b).(6.4) \Theta:Uz\longrightarrow P=\pi_M(M)\bar\otimes\pi_N(N), \quad \Theta\iota(a\otimes b)=\pi_M(a)\otimes\pi_N(b). \tag{6.4} Thus UzUz, with predual EE, is the intrinsic von Neumann tensor product.

Proof. Use faithful normal concrete realizations of the two factors and their spatial action. The faithful minimal-product theorem gives an isometric nondegenerate representation π0:C→B(HM⊗HN)\pi_0:C\to B(H_M\otimes H_N), whose image has bicommutant PP. Theorem 10.1(1–3) of Spatial tensor products proves that restriction is an isometry R:P∗⟶C∗,Rρ=ρπ0,(6.5) R:P_*\longrightarrow C^*,\qquad R\rho=\rho\pi_0, \tag{6.5} and that its range is precisely EE. The density assertion follows by approximating both vectors in a normal vector coefficient by finite sums of elementary tensors, then using norm convergence of the coefficient functionals and of the normal vector series. The norm assertion uses bounded Kaplansky approximation in π0(C)\pi_0(C). Completeness of P∗P_* makes its isometric image closed. These arguments apply to arbitrary Hilbert spaces; they do not select a countable set of vectors spanning either space.

By the declared universal-extension theorem, π0\pi_0 extends to a normal onto *-homomorphism π‾0:U⟶P,ker⁡π‾0=U(1−z),Θ=π‾0∣Uz:Uz→≅P,(6.6) \overline\pi_0:U\longrightarrow P, \quad \ker\overline\pi_0=U(1-z), \quad \Theta=\overline\pi_0|_{Uz}:Uz\xrightarrow{\cong}P, \tag{6.6} where zz is central and Θ−1\Theta^{-1} is normal. The pullback of ρ∈P∗\rho\in P_* belongs to U∗U_* and vanishes on U(1−z)U(1-z). On jC(C)j_C(C), it is RρR\rho. Since this image is ultraweakly dense in UU, the canonical identification U∗=C∗U_*=C^* makes the two functionals equal. Thus E⊆U∗zE\subseteq U_*z.

Conversely, let F∈U∗zF\in U_*z. Restrict it to UzUz and put ρ=F∣Uz∘Θ−1\rho=F|_{Uz}\circ\Theta^{-1}. Normality of the inverse gives ρ∈P∗\rho\in P_*, and (6.6) gives F=ρπ‾0F=\rho\overline\pi_0. Its restriction to CC is therefore in R(P∗)=ER(P_*)=E. This proves (6.2), including the onto isometry between P∗P_* and EE.

There is also a direct dual identification. Define Q:U=(C∗)∗⟶E∗,QX(F)=F(X). Q:U=(C^*)^*\longrightarrow E^*,\qquad QX(F)=F(X). Every bounded functional on the norm-closed subspace E⊆C∗E\subseteq C^* extends to C∗C^* by Hahn–Banach, so QQ is onto. Equation (6.2) and separation by U∗U_* show ker⁡Q=U(1−z)\ker Q=U(1-z). On UzUz, its norm is exactly the algebra norm: for X=zXX=zX, tests F↦FzF\mapsto Fz send the unit ball of U∗U_* into the unit ball of EE, and evaluate at XX with unchanged value. The ordinary dual norm formula gives both inequalities. Hence Q∣UzQ|_{Uz} is an onto isometry, and its evaluation formula identifies the weak-star topologies. This makes E∗E^* the algebra UzUz with its specified predual.

For uniqueness of zz, the annihilator of EE in UU is U(1−z)U(1-z). Another central projection satisfying (6.2) would give the same ideal. Its identity 1−z1-z determines the ideal's projection uniquely.

Finally, Θι(c)=π0(c)\Theta\iota(c)=\pi_0(c); faithfulness of π0\pi_0 and isometry of Θ\Theta prove that ι\iota is isometric. Multiplication by zz is normal, so the ultraweak density of jC(C)j_C(C) gives that of ι(C)\iota(C) in UzUz. Any two normal extensions in (6.4) agree on this dense subalgebra. The same proof for each pair of faithful normal realizations gives the stated canonical realization. □\square

For example, when M=Mr(C)M=M_r(\mathbb C) and N=Ms(C)N=M_s(\mathbb C), the space CC is already Mrs(C)M_{rs}(\mathbb C), all its functionals are normal, and z=1z=1. In contrast, take M=ℓ∞(N)M=\ell^\infty(\mathbb N) with its diagonal action and N=CN=\mathbb C. Then C=MC=M and E=ℓ1(N)E=\ell^1(\mathbb N). The limit functional on the subspace of convergent sequences has a norm-one Hahn–Banach extension F∈C∗F\in C^*. It satisfies F(en)=0F(e_n)=0 for every coordinate vector and F(1)=1F(1)=1. A functional represented by an ℓ1\ell^1 sequence and vanishing on every ene_n would be zero. Hence F∉EF\notin E, so E≠U∗E\ne U_* and z≠1z\ne1. The intrinsic product is the normal central summand of this larger universal algebra.

Corollary 6.2. Isomorphisms α:M1→M2\alpha:M_1\to M_2, β:N1→N2\beta:N_1\to N_2 of von Neumann algebras induce a unique normal isomorphism α⊗ˉβ:M1⊗ˉN1⟶M2⊗ˉN2 \alpha\bar\otimes\beta:M_1\bar\otimes N_1 \longrightarrow M_2\bar\otimes N_2 with the prescribed elementary-tensor values.

Proof. Both leg isomorphisms and their inverses are positive order isomorphisms. They preserve every bounded increasing positive supremum: pull any candidate upper bound back through the inverse and use the least-upper-bound property. The declared positive-map normality criterion therefore makes all four maps normal. Corollary 8.4 of Spatial tensor products constructs their normal tensor maps; composing the tensor maps for the legs and their inverses is the identity on algebraic tensors and hence, by normality and density, everywhere. Theorem 6.1 identifies these concrete maps with the intrinsic product. Uniqueness uses the same density. □\square

The remaining realization clauses. Proposition 3.1(4) of Spatial tensor products represents every normal functional by two vectors in an infinite amplification; for a positive functional its proof gives one vector in both positions. Theorem 8.2 uses that positive-vector version on each cyclic summand to realize every normal unital homomorphism as an amplification followed by a commutant-projection induction and a spatial isomorphism. Its arbitrary direct sum of cyclic summands retains nonseparable representations. Corollary 8.3 then places two isomorphic concrete algebras into commutant corners of one amplification, with both projections of central carrier one. These complete existing proofs supply Takesaki IV.5.4–5.6. They use distinct constructions: the central projection zz in (6.6) cuts the universal enveloping algebra, whereas the corner projections for a concrete representation belong to the commutant of its amplification.

6.3. The finite scalar normality step

Lemma 6.3. Let M⊆B(H)M\subseteq B(H) be a von Neumann algebra and ω∈M∗\omega\in M^* a bounded positive functional. Then ω\omega is ultraweakly continuous if and only if it preserves suprema of every bounded increasing positive net.

We use the complete-additivity theorem, Corollary 11.5 of The universal enveloping von Neumann algebra. Its proof uses the normal–singular splitting in Section 10 and the singular zero-projection theorem in Section 11. The splitting comes from the normal extension of the identity representation to the universal bidual, together with its normal inverse on the complementary central summand. That inverse is supplied by the separate bidual theorem above; no automatic-normality theorem is used to construct it.

Proof. A bounded increasing positive net ai↑aa_i\uparrow a converges ultraweakly to aa, so an ultraweakly continuous positive ω\omega has ω(ai)↑ω(a)\omega(a_i)\uparrow\omega(a).

For the converse, let (pj)j∈J(p_j)_{j\in J} be any orthogonal family of projections, and let p=⋁jpjp=\bigvee_jp_j. The finite sums pF=∑j∈Fpjp_F=\sum_{j\in F}p_j, indexed by finite subsets F⊆JF\subseteq J, form a bounded increasing positive net with supremum pp. The assumed order continuity gives ω(p)=sup⁡F⊆J finiteω(pF)=∑j∈Jω(pj). \omega(p)=\sup_{F\subseteq J\text{ finite}}\omega(p_F) =\sum_{j\in J}\omega(p_j). Thus ω\omega is completely additive on arbitrary orthogonal projection families. The existing complete-additivity theorem now gives ω∈M∗\omega\in M_*. This includes ω=0\omega=0, the zero algebra and arbitrary Hilbert-space dimension. □\square

The concrete predual facts are Theorems 9.1(ii) and 9.4 of Operator spaces and preduals: every ultraweakly continuous functional on MM extends normally to B(H)B(H), the quotient norm is its functional norm, and M=(M∗)∗M=(M_*)^*. Proposition 6.3(c) of the same lesson writes that extension as a combination of four positive normal functionals. Restriction therefore proves that positive normal functionals span M∗M_*. Vector functionals detect positivity in the concrete representation.

Use Lemma 6.3 for each bounded positive scalar functional ψ∘T\psi\circ T in the positive-map criterion. The preadjoint and positive-spanning arguments in Normal positive maps and their preadjoints then apply exactly as written, with the concrete predual facts just identified. Only the scalar step's proof is replaced; no assertion about an infinite-valued weight is needed. In particular, this route justifies the normality used in Corollary 6.2.

6.4. States, cyclic vectors and bounded approximation

The universal extension used in Theorem 6.1 starts with three facts about an arbitrary C*-algebra AA.

  1. States and the full bounded dual. If A≠0A\ne0, every a∈A+a\in A_+ has a state ω\omega with ω(a)=∥a∥\omega(a)=\|a\|. Every bounded functional has the form f=(p1−p2)+i(p3−p4),pj∈A+∗,∑j=14∥pj∥≤2∥f∥. f=(p_1-p_2)+i(p_3-p_4),\qquad p_j\in A^*_+, \qquad \sum_{j=1}^4\|p_j\|\le2\|f\|. Sections 2–7 of States detect the norm and positive functionals span the dual prove both facts. The signed convex hull of the compact unital state set is the real dual unit ball, by Hahn–Banach separation and the state norm formula. The nonunital case passes through a unitization; its state set itself need not be weak-star compact. Proposition 3.4 of Banach algebras and spectrum constructs the needed C*-unitization from the original norm, without states or a universal representation. Remark 8.4 of Continuous functional calculus identifies the inherited positive cone. For an already unital algebra, the unital proof applies directly. The zero algebra has only the zero functional and is handled separately.
  2. Cyclic vectors without an identity. Construction 5.1 and Theorems 5.3–5.5 of Representations and positive functionals give, for every bounded positive ω\omega, a nondegenerate cyclic representation and a vector with ω(a)=⟨πω(a)ξω,ξω⟩,∥ξω∥2=∥ω∥. \omega(a)=\langle\pi_\omega(a)\xi_\omega,\xi_\omega\rangle, \qquad \|\xi_\omega\|^2=\|\omega\|. An approximate identity of positive contractions gives the representing vector as the limit of its quotient vectors. Theorem 11.4 and Corollary 11.5(1) of Continuous functional calculus provide that approximate identity for every C*-algebra, with no countability assumption. The state representations may therefore be summed over all states. The first fact makes this universal representation faithful and lets every bounded functional extend as a normal vector-functional combination.
  3. Approximation with the norm bound retained. Theorem 7.1 of Density theorems proves strong-star density of the contractions of a *-subalgebra in the contractions of its weak closure. It includes nonunital and degenerate algebras. For a nondegenerate representation, the double-commutant theorem identifies that weak closure with π(A)′′\pi(A)''. The approximating net is bounded explicitly, so it also converges ultraweakly by Lemma 1.1(3) of the density lesson. This is the approximation used to prove that restriction of the concrete predual is isometric and that the normal extension maps the relevant central-corner unit ball onto the target unit ball.

These facts concern different spaces: positive functionals span the full dual A∗A^* in the universal construction, while the positive normal functionals in Section 6.3 span the specified predual M∗M_*. The normal inverse is then obtained by the preadjoint argument; its construction does not use the scalar automatic-normality criterion.

6.5. Corners, supports and normal cyclic representations

The remaining concrete inputs can be read without using a theorem about general normal weights. We record exactly how their existing proofs apply.

Corner preduals. Let M⊆B(H)M\subseteq B(H) be a von Neumann algebra and p∈Mp\in M any projection, including zero. Regard N=pMpN=pMp as an algebra on pHpH. Section 11 of Concrete preduals from Hilbert tensors proves that its ultraweak topology is the inherited topology and that r:M∗⟶N∗,r(f)=f∣N,s:N∗⟶M∗,s(g)(x)=g(pxp) r:M_*\longrightarrow N_*,\qquad r(f)=f|_N, \qquad s:N_*\longrightarrow M_*,\qquad s(g)(x)=g(pxp) are positive contractions with rs=1rs=1 and ss isometric. Thus N∗≅M∗/ker⁡r≅{f∈M∗:f(x)=f(pxp) for every x∈M}. N_*\cong M_*/\ker r \cong\{f\in M_*:f(x)=f(pxp)\text{ for every }x\in M\}. The second identification is the map ss, rather than an unspecified identification of a quotient with a subspace. The proof extends each square-summable vector series from pHpH by zero and compresses both vector sequences when restricting from HH. It proves continuity on the entire algebra, with no uniform-bound assumption on an arbitrary convergent net. Centrality of pp is unnecessary. This supplies the corner input in the preadjoint proof of the normal inverse used in Section 6.

Supports and central kernels. Section 6 of Bounded operators needed for comparing weights proves, using only bounded continuous functional calculus and Hilbert-space geometry, that for b∈M+b\in M_+ b(b+ε1)−1↑s(b)strongly and ultraweakly as ε↓0,s(b)H=bH‾. b(b+\varepsilon1)^{-1}\uparrow s(b) \quad\text{strongly and ultraweakly as }\varepsilon\downarrow0, \qquad s(b)H=\overline{bH}. Its Section 4 proves bounded increasing-net convergence, including the supremum of arbitrary finite joins of projections. Its Section 8 proves that commutation with all unitaries implies commutation with the entire algebra. These are exactly the support, supremum and centrality inputs in Section 7 of Every bounded functional becomes normal in one representation, which identifies an ultraweakly closed two-sided star ideal as MzMz for a central projection zz. That proof does not identify the support of a positive functional with the central projection of a representation kernel.

For a bounded positive normal functional ω\omega, Sections 4–5 of Finite domains, null directions and support corners give the largest projection qq with ω(q)=0\omega(q)=0. With p=1−qp=1-q, they prove ω(x)=ω(pxp)(x∈M),ω∣pMp is faithful. \omega(x)=\omega(pxp)\quad(x\in M),\qquad \omega|_{pMp}\text{ is faithful}. Here the finite-domain projection in that text is 11, because every positive element has finite value under a bounded functional. Its finite-domain cutoff construction is therefore unnecessary for this application. The null-projection proof uses the bounded resolvent cutoffs above, finite joins and their increasing net; normality gives zero value on the supremum. The compression identity is first proved on positive elements and then extends by linearity. The functional is normal on the corner by the inherited topology just established. If ω=0\omega=0, its support is zero. Otherwise its corner restriction has norm ω(1)=ω(p)>0\omega(1)=\omega(p)>0 and can be normalized to a faithful normal state. The support pp need not be central.

Normality of bounded GNS. The cyclic construction in Section 6.4 applies to ω\omega. Section 7 of General weights: finite domains, GNS spaces and normal representations contains the required increasing-net argument. In the bounded case its GNS vectors come from all of MM. If 0≤ai↑a0\leq a_i\uparrow a, then for each x∈Mx\in M ω(x∗aix)↑ω(x∗ax),∥πω(a−ai)πω(x)ξω∥2≤∥a∥[ω(x∗ax)−ω(x∗aix)]⟶0. \omega(x^*a_i x)\uparrow\omega(x^*a x), \qquad \|\pi_\omega(a-a_i)\pi_\omega(x)\xi_\omega\|^2 \leq\|a\|\bigl[\omega(x^*a x)-\omega(x^*a_i x)\bigr] \longrightarrow0. The bound ∥πω(a−ai)∥≤∥a∥\|\pi_\omega(a-a_i)\|\leq\|a\| and density extend convergence to every GNS vector. Hence πω(ai)↑πω(a)\pi_\omega(a_i)\uparrow\pi_\omega(a) strongly. No sequence is extracted from the original net.

For this bounded application, the last normal-map criterion in that proof can be supplied by Lemma 6.3. For each vector η\eta, the bounded positive functional a⟼⟨πω(a)η,η⟩ a\longmapsto\langle\pi_\omega(a)\eta,\eta\rangle preserves bounded increasing suprema, and is therefore ultraweakly continuous by that lemma. Polarization gives the same conclusion for mixed vector coefficients. A square-summable vector-series functional on B(Hω)B(H_\omega), composed with the contractive πω\pi_\omega, is a norm-convergent sum of these normal coefficients. The norm-closed predual in Theorem 9.4 of the operator-spaces lesson contains its limit. Testing all such series proves global ultraweak continuity of πω\pi_\omega. Thus this selected GNS argument uses the finite scalar criterion, rather than a recovery theorem for an extended-valued weight.

On the support corner pMppMp, this normal GNS representation is faithful: πω(x)=0\pi_\omega(x)=0 implies ω(x∗x)=0\omega(x^*x)=0, and corner faithfulness gives x=0x=0. It is consequently isometric. Its unit ball is the ultraweakly compact image of the corner unit ball. Contractive density from Section 6.4 then shows that its image equals its bicommutant. The direct preadjoint argument in Section 8 of the universal-extension lesson applies to this onto isometric normal map and proves that its inverse is normal. In particular, a normal functional on the support corner remains normal when transported to this GNS realization. These are the representation and corner facts used when approximating dominated functionals in Lemma 3.2 of the ergodic-projection lesson.

6.6. Faithful normal images and positive vector series

The same compact-ball argument applies beyond the cyclic representation. Let π:M→B(K)\pi:M\to B(K) be a faithful normal star homomorphism, put p=π(1)p=\pi(1), and work on K0=pKK_0=pK. The identity of its image is p∣K0=IK0p|_{K_0}=I_{K_0}. Faithfulness makes π\pi isometric, so π(M)\pi(M) is a norm-closed unital C*-algebra on K0K_0.

Banach–Alaoglu makes M1M_1 ultraweakly compact. Normality makes π(M1)\pi(M_1) compact in the ultraweak topology of B(K0)B(K_0), hence compact and closed in its Hausdorff weak operator topology. Contractive density from Section 6.4 gives, for each contraction in π(M)′′\pi(M)'' on K0K_0, a strongly convergent net of contractions in π(M)\pi(M). Isometry says that these are precisely elements of π(M1)\pi(M_1). Their weak operator limit remains in that closed set. Thus π(M)=π(M)′′\pi(M)=\pi(M)'' on K0K_0: the image is a von Neumann algebra NN.

Here is also the normal-inverse argument, in the form needed to transport functionals. The concrete preduals in Concrete preduals from Hilbert tensors give π∗:N∗⟶M∗,π∗f=f∘π. \pi_*:N_*\longrightarrow M_*,\qquad \pi_*f=f\circ\pi. Since π\pi maps the unit ball onto the unit ball isometrically, π∗\pi_* is an isometry. Its range is norm closed. An element x∈M=(M∗)∗x\in M=(M_*)^* annihilating that range satisfies f(π(x))=0f(\pi(x))=0 for every f∈N∗f\in N_*, hence π(x)=0\pi(x)=0 and x=0x=0. Hahn–Banach therefore makes the range all of M∗M_*. The adjoint of π∗−1\pi_*^{-1} is π−1\pi^{-1}, proving global ultraweak continuity of the inverse. This is the direct argument of the universal-extension proof. In particular, ω∘π−1∈N∗+\omega\circ\pi^{-1}\in N_*^+ whenever ω∈M∗+\omega\in M_*^+.

Apply the supplied positive normal vector-series proof to this transported functional. It gives vj∈K0v_j\in K_0, for j≥1j\geq1, with ω(x)=∑j≥1⟨π(x)vj,vj⟩,∑j≥1∥vj∥2=ω(1). \omega(x)=\sum_{j\geq1}\langle\pi(x)v_j,v_j\rangle, \qquad \sum_{j\geq1}\|v_j\|^2=\omega(1). Every summand is positive normal and is dominated by ω\omega; the series is absolutely convergent. The existing proof first dominates the functional by a vector sum using Section 8 of the concrete-predual text. On the resulting cyclic subspace it represents the dominated positive form by a positive contraction in the commutant, then applies its square root to the cyclic vector. Thus this particular vector-series input uses bounded forms and continuous functional calculus. It does not require a construction for extended-valued weights. The countable index belongs to one functional; it gives no countable separating family for MM, and places no separability condition on KK. For ω=0\omega=0, take all vj=0v_j=0.

The range unit matters throughout. For example, π:C→B(C2)\pi:\mathbb C\to B(\mathbb C^2), π(λ)=diag⁡(λ,0)\pi(\lambda)=\operatorname{diag}(\lambda,0), is faithful and normal. Its image is a von Neumann algebra on pC2p\mathbb C^2, extended by zero on the orthogonal complement. Its bicommutant on all of C2\mathbb C^2 also contains the ambient identity and is larger. Continuous functional calculus is natural in the image corner with unit pp: for the constant function g=1g=1, π(g(1))=p\pi(g(1))=p. Calculus with the ambient unit would instead give I2I_2. Accordingly, whenever this lesson uses functional-calculus naturality from the universal-enveloping prerequisite, it uses unital maps or the stated range corner; an ambient degenerate map requires functions vanishing at zero. This qualification preserves the original prerequisite bytes. The zero algebra and zero range are included by the same corner convention.

7. Why tensor norms and normal tensor products developed together

7.1. A completion records more than the algebraic tensor

The algebraic tensor product specifies how bilinear expressions combine. A norm specifies which infinite limits are admitted. [Takesaki, Chapter IV, Section 5 Notes, pp. 229–230] traces this distinction through Schatten's 1943 paper [Schatten] and the subsequent cross-space papers of Schatten and von Neumann (1946–1948); [Blackadar, I.8.6–I.8.7] treats the resulting dualities between compact, trace-class and bounded operators and the Schatten ideals. The norm calculations used in this lesson are proved below and in the linked tensor-norm prerequisites. Grothendieck developed tensor products in locally convex spaces and the theory of nuclear spaces; [Grothendieck] summarizes the main results. The finite-dimensional examples already show why choosing a norm matters, even though all norms on a fixed finite-dimensional space define the same topology.

For example, on Cd⊙Cd\mathbb C^d\odot\mathbb C^d, with the Euclidean norm on both factors, put wd=∑j=1dej⊗ejw_d=\sum_{j=1}^d e_j\otimes e_j. The injective Banach norm is 11: its definition tests ∑jf(ej)g(ej)\sum_j f(e_j)g(e_j) over two dual unit balls, and Cauchy–Schwarz gives the upper bound, attained by the first coordinate functionals. The projective Banach norm is dd. The displayed decomposition gives the upper bound; the bilinear form b(x,y)=∑jxjyjb(x,y)=\sum_jx_jy_j has norm 11 and evaluates to dd on wdw_d, giving the lower bound. The Hilbert tensor norm is d\sqrt d, since the ej⊗eje_j\otimes e_j are orthonormal. Thus the three norms agree on elementary tensors and give different values on their sums. The Banach cross-norm definitions and their bounds are proved in Theorem 2.3 of Tensor products of Hilbert spaces and operators. No identification of these Banach norms with the minimal or maximal C*-tensor norms is intended.

7.2. Commuting factors need not split normally

Murray and von Neumann's investigation of factors (1936) asked when an action can be written on H1⊗H2H_1\otimes H_2 with the factor and its commutant occupying separate legs. In that case the factor is of type I; compare [Blackadar, III.1.5.3]. For instance, the commutant of B(H1)⊗1B(H_1)\otimes1 is 1⊗B(H2)1\otimes B(H_2), by the operator-matrix calculation in Section 7 of Spatial tensor products. The two algebras generate B(H1⊗H2)B(H_1\otimes H_2). For a general factor, algebraic injectivity of multiplication still holds, but its topology need not be the normal spatial product topology. Theorem 2.1 isolates the extra requirement through a nonzero normal product functional, equivalently a nonzero normal bimodule map. The irrational-period example in Section 4 shows the distinction even for commuting abelian algebras: their C*-product embeds faithfully, while normal splitting fails. These are concrete manifestations of the topology question described in Takesaki's Notes; the type classification itself belongs to the factor theory.

7.3. Minimal, maximal and normal products

The Notes credit Turumaru with the early C*-tensor-product construction and the representation-independent minimal norm [Turumaru I; Turumaru III], and Guichardet with the maximal construction [Guichardet]. The maximal product organizes every pair of commuting representations; the minimal product organizes separate faithful representations on a Hilbert tensor product. The proofs in Tensor norms and independent systems and States, ideals and the smallest tensor norm explain their universal properties and minimality, including nonunital algebras. Takesaki's 1958 and 1964 papers are the references given in the Notes for the commutative-factor, minimality and simplicity results [Takesaki, cross norms]. The free-group example shows that the two C*-norms can differ. Nuclear C*-algebras, mentioned there as a direction for further work, are those whose minimal and maximal tensor norms agree against every C*-algebra; that additional theory is outside this lesson.

Misonou's W*-tensor-product work addresses independence from the faithful normal Hilbert-space realization [Misonou]. Theorem 6.1 makes the intrinsic construction visible: the closed span of the two preduals selects the central summand of the universal bidual that carries precisely the normal product functionals. It need not select the whole universal algebra. Takesaki's Notes describe their presentation as following Takeda and Sakai [Takeda; Sakai, characterization]. The central-summand construction and the representation change therefore belong to the same argument. The amplification and induction theorem, credited there to Dixmier (compare [Takesaki I, Theorem IV.5.5]), is a different representation tool: its corner projection lies in a concrete commutant, whereas the projection selecting the intrinsic product lies in the universal algebra's centre. Section 6 keeps these two projections distinct.

7.4. Positivity and the full commutation theorem

Stinespring's dilation theorem [Stinespring] explains why complete positivity, rather than positivity alone, works with matrix amplifications. Takesaki's Notes point to Lance and to Effros–Lance for its role in tensor products [Lance; Effros–Lance]. The transpose examples in Tensor norms and independent systems expose the obstruction for a merely positive factor map. Theorem 1.1 then supplies the normal CP tensor map: its preadjoint preserves the product predual, and bounded matrix approximation proves that the normal extension is still completely positive.

The identity (M⊗ˉN)′=M′⊗ˉN′(M\bar\otimes N)'=M'\bar\otimes N' requires a further argument. [Takesaki, Chapter IV, Section 5 Notes, pp. 229–230] credits Misonou with the semifinite case [Misonou], Sakai with a partial result (1968), and Tomita with the general result (1967). That account lists a later proof by Cuculescu (1971) and describes its own use of the Rieffel–van Daele approach; compare [Takesaki I, Lemmas IV.5.7–IV.5.8 and Theorem IV.5.9]. [Blackadar, III.4.5.8] states the theorem and sketches a proof through modular Hilbert algebras. The complete proof in Theorem 11.4 of Spatial tensor products follows real-orthogonal cyclic density, the real tensor-density lemma and compression to cyclic corners. Those compressions allow arbitrary Hilbert spaces; they impose neither semifiniteness nor a countable cyclic decomposition. Its intersection and centre formulas, and its tensor-MASA exercise, then follow from that commutation theorem. The historical attributions follow Takesaki’s chapter notes.

References

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