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 and be normal completely positive maps of von Neumann algebras. There is a unique normal completely positive map Its norm is .
Proof. The C*-tensor theorem gives a completely positive map with that norm. On finite sums of normal product functionals define This is the Banach adjoint of on the indicated subspace. In particular it is well defined and bounded by . 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 extends to a map . Its adjoint is normal and agrees with on algebraic tensors.
To verify complete positivity of the extension, take a positive matrix over . 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 . Their images under every matrix amplification of are positive; ultraweak continuity and closedness of the positive cone give positivity of . Thus is completely positive. The upper norm bound comes from , and elementary tensors give the opposite bound. Algebraic tensors are ultraweakly dense, proving uniqueness.
For example, normal states , have a normal product state. Its support is 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 be commuting subfactors generating the factor , with their identities equal to that of . Multiplication is algebraically injective by the factor–commutant theorem. Its extension to asks for more than algebraic independence.
Theorem 2.1. The following are equivalent.
- Multiplication extends to a normal *-isomorphism .
- There is a nonzero normal functional with
- There is a nonzero normal bounded linear map satisfying
One may interchange and in condition 3. No positivity is required in conditions 2 or 3.
Proof. If 1 holds, take any normal state of . Transport the normal slice to obtain the map in 3. Take a normal state of and compose with the slice to obtain a product state, proving 2 as well.
Suppose 2 holds. Nonzeroness and the product identity imply . The restrictions are nonzero normal functionals. Polar decomposition supplies partial isometries such that are positive nonzero normal functionals. Define . On the algebraic span of products, . Hence is positive on algebraic squares. Bounded strong approximation of square roots, followed by normality of , makes it positive on all of . Its value at the identity is . Normalize 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 , 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 The product identity gives equality of the inner products of every pair of finite sums, so extends to an isometry. Its range is dense: the algebraic span of products is strongly dense in , and bounded strong approximation implies convergence on the GNS cyclic vector by normality. Thus is unitary. It intertwines the two factor actions. Their normal weak closures therefore identify with . All three representations are faithful normal representations, so this is exactly the isomorphism in 1.
Finally suppose 3 holds. For , bimodularity and commutation show for every . Since is a factor, for a normal functional . It is nonzero: otherwise would vanish on every product and normal density would give . Choose with , and set . It remains normal and bimodular, and . With a normal state on , put . Then and , proving 2. The same proof works with the factors interchanged.
If a normal map is initially known to satisfy the bimodule identity only for , it satisfies it for all . 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 , where the two Hilbert spaces may differ. Inner products are linear in the first variable. Its adjoint has domain Density makes unique; set . Directly from this definition, Thus is closed: if and , the defining identities pass to the limit and give .
The vertical part of the closed subspace consists precisely of the vectors with , by (3.a). A linear subspace of is a graph exactly when it has no nonzero vertical vector. Consequently is closable exactly when is dense in . In that case applying (3.a) to , with the two spaces exchanged, identifies with . Therefore the closure is . In particular, for a closed densely defined , the adjoint is closed and densely defined and .
Polar decomposition for closed operators
Proposition. Let be closed and densely defined. Then is nonnegative self-adjoint. Its positive square root satisfies There is a unique partial isometry , zero on , whose initial and final spaces are and , and for which on this exact domain.
Proof. On , put . Its form norm is the graph norm, so is a densely defined closed nonnegative form. The closed-form representation theorem supplies a unique nonnegative self-adjoint , with and (3.b). Its operator-domain criterion says that precisely when some satisfies for every . Taking conjugates is exactly the condition and . This proves the displayed identification of , rather than presupposing self-adjointness of .
Define for . Equation (3.b) makes this well defined and isometric, so it extends to an isometry from onto . Since , orthogonality to its range is exactly membership in its kernel: a vector orthogonal to all lies in with . Equation (3.b) also gives . Extend by zero on that kernel. The resulting partial isometry has the asserted initial and final spaces and satisfies . Its values on the dense range of and on the kernel determine it uniquely. The positive operator itself is uniquely determined by the closed form and (3.b).
The adjoint formula retains its domain: Indeed, for every , and the defining adjoint criterion and self-adjointness of prove both directions. Thus is the transport of to , with zero operator on its orthogonal complement. Finally, the spectral calculus gives strongly, , and . No countability of a basis is used.
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 into ; this is the convention used below.
The graph projection and affiliation
Let be a closed linear operator. Its domain is allowed to be nondense. The graph is closed, so has a bounded orthogonal projection .
We say is affiliated with when every unitary satisfies and on the domain.
Theorem 3.1. A closed operator is affiliated with exactly when .
Proof. The domain and commutation conditions say exactly that takes 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 commuting with every , . Unitaries linearly span , so this means all four matrix entries of lie in .
Reference: [Takesaki, Exercise IV.5.3] specifies unitaries of in its affiliation definition; the graph criterion requires unitaries of . For and , the graph projection belongs to , while does not commute with the swap unitary of .
Theorem 3.2. Suppose first that is densely defined. Write Then All entries in (3.1) are bounded operators. The off-diagonal expressions denote their everywhere-defined bounded extensions.
Proof. In the polar decomposition , put and . Functional calculus gives , , and . Also The last identity holds on the closure of the range of ; 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 . For input , the first component is , which belongs to because both and are bounded. Applying gives the second component. Conversely it fixes for , by and the corresponding lower identity. Hence this is precisely the graph projection.
For a nondense domain let , let be inclusion, and view as a densely defined closed map . Its adjoint is . The same proof for two different Hilbert spaces gives The upper-left entry vanishes on . If is affiliated with , is invariant under the commutant, so its projection belongs to ; 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 with irrational. Inside , let and consist of the essentially bounded functions of period and period , respectively.
Proposition 4.1. These two algebras generate as a von Neumann algebra. Their generated C*-algebra is canonically . There is no nonzero normal functional on satisfying for .
Proof. The map 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 . Their bounded functions generate all of , 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 are nonzero periodic functions, put . Their period means are positive. Their joint long-interval mean is the product of those means. Here are the details. Approximate in their period 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 , so its long-interval mean is zero. Passing to the approximations proves the asserted positive product mean. Thus 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 , and put Nonzeroness of a product functional forces , so . The product identity on periodic exponentials gives There are integers , with both absolute values tending to infinity, such that . This follows by the pigeonhole approximation of the irrational number ; bounded denominators could not yield arbitrarily small nonzero errors. The Riemann–Lebesgue lemma gives . Continuity gives , contradicting (4.1).
The two scalar Fourier facts used here follow directly from approximation by step functions on bounded intervals: their transforms are continuous and tend to zero, and the transform difference is bounded uniformly by the difference.
5. Exercises with solutions
Exercise 5.1 (first step). On , let , with domain . Compute the four graph entries and their norms. Is affiliated with the diagonal von Neumann algebra?
Solution. The entries are the diagonal multipliers Their norms are , 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 is unbounded.
Exercise 5.2 (application). On , define a closed operator by and . Find its graph projection. Why does the densely defined formula require modification?
Solution. The graph is the span of . Its projection has blocks Formula (3.2) gives this: on , while on . There is no densely defined single-valued adjoint on the original in the sense required by (3.1). In particular the upper-left graph block must be zero on , rather than a resolvent with value one there.
Exercise 5.3 (further step). In Theorem 2.1, suppose is positive and unital as well as normal and bimodular. Show that its scalar restriction to is a normal state and that it is the transported slice for that state.
Solution. Write . Positivity of makes positive, and gives . Thus is a normal state. The normal factorization isomorphism makes agree with 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 extends to a normal surjection from , 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 be von Neumann algebras. Put The product functional on is specified by . Here 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 such that, under , The dual is canonically the von Neumann algebra . The map is an isometric *-homomorphism with ultraweakly dense range. For any faithful normal nondegenerate representations , its product representation extends uniquely to a normal isomorphism Thus , with predual , 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 , whose image has bicommutant . Theorem 10.1(1–3) of Spatial tensor products proves that restriction is an isometry and that its range is precisely . 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 . Completeness of 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, extends to a normal onto *-homomorphism where is central and is normal. The pullback of belongs to and vanishes on . On , it is . Since this image is ultraweakly dense in , the canonical identification makes the two functionals equal. Thus .
Conversely, let . Restrict it to and put . Normality of the inverse gives , and (6.6) gives . Its restriction to is therefore in . This proves (6.2), including the onto isometry between and .
There is also a direct dual identification. Define Every bounded functional on the norm-closed subspace extends to by Hahn–Banach, so is onto. Equation (6.2) and separation by show . On , its norm is exactly the algebra norm: for , tests send the unit ball of into the unit ball of , and evaluate at with unchanged value. The ordinary dual norm formula gives both inequalities. Hence is an onto isometry, and its evaluation formula identifies the weak-star topologies. This makes the algebra with its specified predual.
For uniqueness of , the annihilator of in is . Another central projection satisfying (6.2) would give the same ideal. Its identity determines the ideal's projection uniquely.
Finally, ; faithfulness of and isometry of prove that is isometric. Multiplication by is normal, so the ultraweak density of gives that of in . 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.
For example, when and , the space is already , all its functionals are normal, and . In contrast, take with its diagonal action and . Then and . The limit functional on the subspace of convergent sequences has a norm-one Hahn–Banach extension . It satisfies for every coordinate vector and . A functional represented by an sequence and vanishing on every would be zero. Hence , so and . The intrinsic product is the normal central summand of this larger universal algebra.
Corollary 6.2. Isomorphisms , of von Neumann algebras induce a unique normal isomorphism 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.
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 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 be a von Neumann algebra and a bounded positive functional. Then 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 converges ultraweakly to , so an ultraweakly continuous positive has .
For the converse, let be any orthogonal family of projections, and let . The finite sums , indexed by finite subsets , form a bounded increasing positive net with supremum . The assumed order continuity gives Thus is completely additive on arbitrary orthogonal projection families. The existing complete-additivity theorem now gives . This includes , the zero algebra and arbitrary Hilbert-space dimension.
The concrete predual facts are Theorems 9.1(ii) and 9.4 of Operator spaces and preduals: every ultraweakly continuous functional on extends normally to , the quotient norm is its functional norm, and . 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 . Vector functionals detect positivity in the concrete representation.
Use Lemma 6.3 for each bounded positive scalar functional 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 .
- States and the full bounded dual. If , every has a state with . Every bounded functional has the form 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.
- Cyclic vectors without an identity. Construction 5.1 and Theorems 5.3–5.5 of Representations and positive functionals give, for every bounded positive , a nondegenerate cyclic representation and a vector with 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.
- 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 . 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 in the universal construction, while the positive normal functionals in Section 6.3 span the specified predual . 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 be a von Neumann algebra and any projection, including zero. Regard as an algebra on . Section 11 of Concrete preduals from Hilbert tensors proves that its ultraweak topology is the inherited topology and that are positive contractions with and isometric. Thus The second identification is the map , rather than an unspecified identification of a quotient with a subspace. The proof extends each square-summable vector series from by zero and compresses both vector sequences when restricting from . It proves continuity on the entire algebra, with no uniform-bound assumption on an arbitrary convergent net. Centrality of 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 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 for a central projection . 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 , Sections 4–5 of Finite domains, null directions and support corners give the largest projection with . With , they prove Here the finite-domain projection in that text is , 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 , its support is zero. Otherwise its corner restriction has norm and can be normalized to a faithful normal state. The support need not be central.
Normality of bounded GNS. The cyclic construction in Section 6.4 applies to . 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 . If , then for each The bound and density extend convergence to every GNS vector. Hence 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 , the bounded positive functional 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 , composed with the contractive , 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 . Thus this selected GNS argument uses the finite scalar criterion, rather than a recovery theorem for an extended-valued weight.
On the support corner , this normal GNS representation is faithful: implies , and corner faithfulness gives . 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 be a faithful normal star homomorphism, put , and work on . The identity of its image is . Faithfulness makes isometric, so is a norm-closed unital C*-algebra on .
Banach–Alaoglu makes ultraweakly compact. Normality makes compact in the ultraweak topology of , hence compact and closed in its Hausdorff weak operator topology. Contractive density from Section 6.4 gives, for each contraction in on , a strongly convergent net of contractions in . Isometry says that these are precisely elements of . Their weak operator limit remains in that closed set. Thus on : the image is a von Neumann algebra .
Here is also the normal-inverse argument, in the form needed to transport functionals. The concrete preduals in Concrete preduals from Hilbert tensors give Since maps the unit ball onto the unit ball isometrically, is an isometry. Its range is norm closed. An element annihilating that range satisfies for every , hence and . Hahn–Banach therefore makes the range all of . The adjoint of is , proving global ultraweak continuity of the inverse. This is the direct argument of the universal-extension proof. In particular, whenever .
Apply the supplied positive normal vector-series proof to this transported functional. It gives , for , with Every summand is positive normal and is dominated by ; 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 , and places no separability condition on . For , take all .
The range unit matters throughout. For example, , , is faithful and normal. Its image is a von Neumann algebra on , extended by zero on the orthogonal complement. Its bicommutant on all of also contains the ambient identity and is larger. Continuous functional calculus is natural in the image corner with unit : for the constant function , . Calculus with the ambient unit would instead give . 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 , with the Euclidean norm on both factors, put . The injective Banach norm is : its definition tests over two dual unit balls, and Cauchy–Schwarz gives the upper bound, attained by the first coordinate functionals. The projective Banach norm is . The displayed decomposition gives the upper bound; the bilinear form has norm and evaluates to on , giving the lower bound. The Hilbert tensor norm is , since the 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 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 is , by the operator-matrix calculation in Section 7 of Spatial tensor products. The two algebras generate . 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 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
- [Stinespring] W. F. Stinespring, “Positive functions on C*-algebras,” Proceedings of the American Mathematical Society 6 (1955), 211–216.
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