Covering entropy for types in tracial -algebras
Abstract
We study embeddings of tracial -algebras into a ultraproduct of matrix algebras through an amalgamation of free probabilistic and model-theoretic techniques. Jung implicitly and Hayes explicitly defined -bounded entropy through the asymptotic covering numbers of Voiculescu’s microstate spaces, that is, spaces of matrix tuples having approximately the same -moments as the generators of a given tracial -algebra. We study the analogous covering entropy for microstate spaces defined through formulas that use suprema and infima, not only -algebra operations and the trace–formulas which arise in the model theory of tracial -algebras initiated by Farah, Hart, and Sherman. By relating the new theory with the original -bounded entropy, we show that if is a separable tracial -algebra with , then there exists an embedding of into a matrix ultraproduct such that is arbitrarily close to . We deduce that if all embeddings of into are automorphically equivalent, then is strongly -bounded and in fact has .
1 Introduction
1.1 Overview
The study of -algebras or von Neumann algebras is a deep and challenging subject with many connections to fields as diverse as ergodic theory, geometric group theory, random matrix theory, quantum information, and model theory. Our present goal is to bring together two of these facets—the model theory of tracial -algebras studied in [7, 8, 9, 1] and Voiculescu’s free entropy theory which, roughly speaking, quantifies the amount of matrix approximations for the generators of -algebra (see e.g. [32, 33, 12, 25, 16]). On the free entropy side, we will work in the framework of Hayes’ -bounded entropy [16] which arose out of the work of Jung [25]; for history and motivation, refer to [18, §2]. The sibling paper [23] develops the analog of Voiculescu’s free microstate entropy for the setting of model-theoretic types.
We adapt the framework of -bounded entropy [25, 16] to capture data about the generators’ model-theoretic type and not only their non-commutative law. The non-commutative law of a tuple from encodes the joint moments for non-commutative -polynomials ; laws thus describe tracial von Neumann algebras with chosen generators up to generator-preserving isomorphism. The type includes the values of more complicated formulas that involve not only the addition, adjoint, product, and trace operations, but also taking suprema and infima in auxiliary variables over an operator norm ball in . For instance, the type would include the value of the formula
where denotes the closed unit ball with respect to operator norm. The entropy of a type is defined in terms of the exponential growth rates of the covering numbers of microstate spaces (spaces of matrix tuples with approximately the same type as our chosen generators, as in Voiculescu’s work), just like Jung and Hayes’ -bounded entropy except with types instead of laws. However, we prefer the term “covering entropy” rather than “-bounded entropy” as a more intrinsic description of the definition. The superscript denotes the fact that we take limits with respect to a fixed non-principal ultrafilter on .
Just as in the original definition of the -bounded entropy, a key property of the covering entropy is that it is invariant under change of coordinates (see §4.3). More precisely, if and are tuples from with , then their types and have the same covering entropy (Corollary 4.10). This allows us to define the entropy of a separable tracial -algebra as the entropy of the type of any generating set. As suggested in [18], we streamline the proof of this invariance property using the result that every tuple from can be expressed as for some quantifier-free definable function (see [22, §13]). More generally, we can extend the definition of to the case where is not separable by setting it to be the supremum of over separable -subalgebras or equivalently, the supremum of over all tuples (see Definition 4.11).
The covering entropy can be viewed intuitively as a measurement of the amount of tracial -embeddings of into the matrix ultraproduct that extend to elementary embeddings of (compare §4.4). This is the analog of the idea that the -bounded entropy of in the presence of quantifies the amount of -embeddings of into that extend to any embedding of . Thus, our work is motivated in part by the study of embeddings into ultraproducts, which is one theme of recent work on von Neumann algebras [28, 14, 20, 2, 1, 11].
We make a precise connection between and -bounded entropy as follows. There is a canonical projection from the space of types to the space of non-commutative laws, since a non-commutative law describes the evaluation of quantifier-free formulas (rather than all logical formulas) in a tuple . Given a non-commutative law (or quantifier-free type) , the -bounded entropy can be expressed through the following variational principle (Corollary 5.4):
(1.1) |
Thus, the -bounded entropy is the quantifier-free version of the entropy for types.
In a similar way, the -bounded entropy of in the presence of is the version using existential types. Entropy in the presence is described using microstates for a tuple in such that there exist compatible microstates for a tuple that generates . In the model-theoretic framework, the existence of such microstates for is described through the evaluation of existential formulas in the original generators and their microstates (see §5.4). Similar to the quantifier-free setting, there is a projection from the space of types into the space of existential types, and a similar variational principle expressing the covering entropy of an existential type as the supremum of over full types (Lemma 5.13).
Altogether these ingredients allow us to prove the following result about ultraproduct embeddings, which is restated and proved in Theorem 5.24:
Theorem 1.1.
Let . Let be an inclusion of separable tracial -algebras . Then there exists an embedding of into the matrix ultraproduct such that , hence also .
The hypotheses of the theorem hold for instance when is a nontrivial free product by [33, Proposition 6.8] and [25, Corollary 3.5] and [16, Proposition A.16] since . They also hold for the von Neumann algebras of groups with non-approximately-inner cocycles by [30, Theorem 3] and [25, Corollary 3.5] and [16, Proposition A.16].
In particular, since there exists with , the theorem implies that there exist types in with arbitrarily large covering entropy, and therefore, . Similarly, the entropy given by Definition 4.11 is infinite.
Corollary 1.2.
Let be a free ultrafilter on and let . Then and . Hence, is not strongly -bounded.
The following corollary of Theorem 1.1 was communicated to me by Ben Hayes.
Corollary 1.3.
Let be an inclusion of separable tracial -algebras such that is a factor (it has trivial center). Then there exists a free ultrafilter and an embedding such that .
Proof.
The -bounded entropy is the supremum of over free ultrafilters . Hence, there exists some free ultrafilter such that and by Theorem 1.1 there is an embedding with .
A general fact about -bounded entropy is that if and is diffuse, then . Indeed, if is diffuse, it contains a diffuse amenable subalgebra . Let
(this is known as the step 1 wq-normalizer of and was introduced in [10]). Note that . Hence, by [16, Property 1, p. 10]
By [16, Theorem 2.8 and Proposition 3.2],
Then using [16, Property 1, p. 10] again,
which is zero since is amenable. Hence, .
By contrapositive, since in our case , then is not diffuse. Therefore, it contains a minimal projection . Let be the compression of by equipped with the trace , and let be the map . Since commutes with , it follows that is a -homomorphism, and since is a II1 factor and hence has a unique trace, the map must be trace-preserving. Because was a minimal projection in , we know has no nontrivial projections and hence is .
Finally, note that is a matrix ultraproduct for some ultrafilter . Indeed, by stability of projections there exist projections in such that is the equivalence class of in . Let be the rank of . One can check that , which is simply a matrix ultraproduct for a different ultrafilter . ∎
As shown in [23, Theorem 1.2], the analogous result holds for free entropy rather than -bounded entropy without having to change the ultrafilter to the ultrafilter .
1.2 Embeddings into Ultraproducts
Our results relate to recent work and questions about embeddings into ultraproducts. Jung [24] used the study of microstates to show that a separable tracial -algebra is amenable if and only if all embeddings of into are unitarily conjugate. Atkinson and Kunnawalkam Elayavalli [2] strengthened this result by showing that is amenable if and only if all embeddings of into are ucp-conjugate (meaning they are conjugate by an automorphism of that lifts to a sequence of unital completely positive maps ). Atkinson, Goldbring, and Kunnawalkam Elayavalli [1] later showed that if a separable factor is Connes-embeddable and all embeddings of into are automorphically conjugate, then .
One can ask similar questions for embeddings into the ultraproduct for some fixed free ultrafilter . In [2], the authors showed that if is a separable Connes-embeddable tracial -algebra and the space of unitary orbits of embeddings is separable in a certain metric, then must be amenable. In particular, if all embeddings are unitarily conjugate, then is amenable. It is an open question whether this result still holds when “unitarily conjugate” is replaced by “automorphically conjugate.” However, Theorem 1.1 implies the following result, which was pointed out to me by Srivatsav Kunnawalkam Elayavalli:
Corollary 1.4.
Let be a tracial -algebra. Suppose that any two embeddings are conjugate by an automorphism of . Then .
Proof.
We proceed by contradiction. Suppose that . By Theorem 1.1, there exists an embedding with . Moreover, since is Connes-embeddable, so is , so there exists some embedding . In particular, . If we assume for contradiction that and are conjugate by an automorphism, then also contains a copy of , so in particular, is diffuse. As pointed out in the proof of Corollary 1.3, this implies that , which contradicts our choice of . ∎
Intuitively, the corollary says that if the space of embeddings modulo automorphic conjugacy is trivial, then the space of embeddings modulo unitary conjugacy is not too large, since quantifies the “amount” of embeddings up to unitary conjugacy. The conclusion that is a weakening of amenability since by Jung’s theorem [24] amenability is equivalent to the space of embeddings modulo unitary conjugacy being trivial.
We remark that the free entropy techniques used here to study embeddings into cannot be directly applied to study embeddings into . For instance, Theorem 1.1 does not make sense with replaced by . Indeed, has property Gamma by [9, §3.2.2], and every tracial -algebra with property Gamma has -bounded entropy zero (this is a special case of [16, Corollary 4.6] and it is shown explicitly in [18, §1.2, Example 4]). Thus, and therefore, for any subalgebra of , we also have by [16, §2, Property 1]. Hence, Theorem 1.1 would not hold with instead of . By contrast, many other operator-theoretic and model-theoretic techniques are more easily applied to than to since is an ultrapower; see for instance [14, 15, 13].
1.3 Outline
In large part, our goal is to establish communication between the free probabilistic and model theoretic subgroups of operator algebras, and to show that many of the notions in free probability (such as non-commutative laws, microstates spaces in the presence, and relative microstate spaces) arise naturally from the model-theoretic framework. Therefore, we strive to make the exposition largely self-contained and use model-theoretic language throughout.
We start out by explaining the model-theoretic framework for operator algebras in §2. In particular, we give a more detailed explanation than current literature of the languages and structures for multiple sorts and multiple domains of quantification for each. Next, in §3, we give a self-contained development of definable predicates and functions of infinite tuples, including the result that every element of a tracial -algebra can be realized by applying a quantifier-free definable function to the generators which was observed in [22, 18].
§4 develops the framework of covering entropy for types. We show the invariance of entropy under change of coordinates in §4.3, describe the relationship with ultraproduct embeddings in §4.4, and finally show that adding variables in the (model-theoretic) algebraic closure of given tuple does not change its entropy in §4.5.
In §5, we describe the quantifier-free and existential versions of entropy, showing that they agree with the -bounded entropy of Hayes. We conclude the proof Theorem 1.1 there.
In the appendix §6, we describe a generalization to conditional (or “relative”) entropy, which focuses on quantifying the embeddings which restrict to a fixed embedding on a given -subalgebra . The existential version of the conditional covering entropy was studied by Hayes explicitly for diffuse abelian and implicitly for diffuse amenable [16], in which case it agrees with the unconditional version. However, the conditional covering entropy (for full, quantifier-free, or existential types) makes sense for any diffuse with a specified embedding (though, as far as we know, it may depend on the embedding ). Moreover, conditional entropy is natural from the model-theoretic perspective, since it arises from replacing formulas in the original language with formulas that have coefficients from the subalgebra .
1.4 Acknowledgements
This was work was partially funded by the NSF postdoc grant DMS-2002826. I thank the organizers and hosts of the 2017 workshop on the model theory of operator algebras at University of California, Irvine, and of the 2018 long program Quantitative Linear Algebra at the Institute of Pure and Applied Mathematics at UCLA for conferences that greatly contributed to my knowledge of operator algebras, entropy, and model theory. Special thanks to Ben Hayes for pointing out Corollary 1.3, Srivatsav Kunnawalkam Elayavalli for pointing out Corollary 1.4, and Jennifer Pi for reading the paper in detail and finding many typos. Thanks to Isaac Goldbring, Ben Hayes, and Adrian Ioana for their comments on the paper and advice on references. Finally, thanks to the anonymous referees for numerous emendations to the paper.
2 Continuous model theory for tracial -algebras
This section sketches the setup of continuous model theory, or model theory for metric structures [3, 4] and its application to operator algebras in [7, 8, 9]. We strive to present a self-contained exposition for two reasons: First, some readers may not be familiar with the model-theoretic terminology. Second, we are following the treatment in [8] which introduces “domains of quantification” to cut down on the number of “sorts,” which means that some of the statements need to modified from their original form in [3].
2.1 Background on operator algebras
We start by giving some basic terminology and background on operator algebras. For further detail and history, we suggest consulting the references [26, 6, 29, 31, 5, 34].
-algebras:
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A (unital) algebra over is a unital ring with a unital inclusion map .
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A (unital) -algebra is an algebra equipped with a conjugate linear involution such that .
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A unital -algebra is a -algebra equipped with a complete norm such that and for .
A collection of fundamental results in -algebra theory establishes that -algebras can always be represented as algebras of operators on Hilbert spaces. If is a Hilbert space, the algebra of bounded operators is a -algebra. Conversely, every unital -algebra can be embedded into by some unital and isometric -homomorphism . By isometric, we mean that , where is the operator norm on and is the given norm on the -algebra .
-algebras: A von Neumann algebra is a -subalgebra of (for some Hilbert space ) that is closed in the strong operator topology, the topology of pointwise convergence as functions on . A -algebra is a -algebra that admits a predual (that is, it is the dual of some Banach space). A deep result of Sakai showed that for a -algebra is a -algebra if and only if it is isomorphic to a von Neumann algebra; moreover, the weak- topology on a -algebra is uniquely determined by its -algebra structure [29, Corollary 1.13.3].
Tracial -algebras: A tracial -algebra is a -algebra together with a linear map satisfying:
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positivity: for all
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unitality:
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traciality: for
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faithfulness: implies for .
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weak- continuity: is weak- continuous.
We call a faithful normal tracial state.
The standard representation: Given a tracial -algebra , we can form a Hilbert space as the completion of with respect to the inner product ; if , then we denote the corresponding element of by . There is a unique unital -homomorphism satisfying for . Now is a -homomorphism isometric with respect to the operator norm, and its image is a von Neumann algebra. The construction of and is a special case of the GNS (Gelfand-Naimark-Segal) construction and is also known as the standard representation of . Note the convergence of a net to in with respect to the strong operator topology in implies convergence of to in . (It turns out that the converse is true if is bounded in operator norm, but we will not need to use this fact directly.)
-polynomials and generators: Given an index set , we denote by the free unital algebra (or non-commutative polynomial algebra) generated by indeterminates and for . We equip with the unique -operation sending to , thus making it into a -algebra. If is a unital -algebra and a collection of elements, there is a unique unital -homomorphism mapping to for each . We refer to the elements of as non-commutative -polynomials, and if and is as above, we denote by . Moreover, the image of is the -algebra generated by .
If is a -algebra and is a collection of elements of , then the -algebra generated by is the norm-closure of the -algebra generated by . Similarly, if is a von Neumann algebra and is a collection of elements of , then the von Neumann subalgebra or -subalgebra generated by is the strong operator topology closure of the -algebra generated by . In particular, we say that generates if the strong operator topology closure is all of .
2.2 Languages and structures
Next, let us sketch the setup of continuous model theory, or model theory for metric structures [3, 4]. We will follow the treatment in [8] which introduces “domains of quantification” to cut down on the number of “sorts” neeeded.
A language consists of:
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A set whose elements are called sorts.
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For each , a privileged relation symbol (which will represent a metric) and a set whose elements are called domains of quantification for .
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For each and an assigned constant .
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A countably infinite set of variable symbols for each sort . We denote the variables by .
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A set of function symbols.
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For each function symbol , an assigned tuple of sorts called the domain, another sort called the codomain. We call the arity of .
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For each function symbol with domain and codomain , and for every , there is an assigned (representing a range bound), and assigned moduli of continuity , …, . (Here “modulus of coninuity” means a continuous increasing, zero-preserving function ).
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A set of relation symbols.
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For each relation symbol , an assigned domain as in the case of function symbols.
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For each relation symbol and for every , an assigned bound and assigned moduli of continuity , …, .
Given a language , an -structure assigns an object to each symbol in , called the interpretation of that symbol, in the following manner:
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Each sort is assigned a metric space , and the symbol is interpreted as the metric on .
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Each domain of quantification is assigned a subset , such that is complete for each , , and .
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Each function symbol with domain and codomain is interpreted as a function . Moreover, for each , the function maps into . Finally, restricted to is uniformly continuous in the th variable with modulus of continuity of .
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Each relation symbol with domain is interpreted as a function . Moreover, for each , is bounded by on and uniformly continuous in the th argument with modulus of continuity of .
The language of tracial -algebras can be described as follows. We will also simultaneously describe how a tracial -algebra gives rise to an -structure , that is, how each symbol will be interpreted.
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A single sort, to be interpreted as the -algebra . If is a tracial -algebra, we denote the interpretation of this sort by because of the intuition of tracial -algebras as non-commutative measure spaces.
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Domains of quantification , to be interpreted as the operator norm balls of radius in .
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The metric symbol , to be interpreted as the metric induced by .
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A binary function symbol , to be interpreted as addition.
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A binary function symbol , to be interpreted as multiplication.
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A unary function symbol , to be interpreted as the adjoint operation.
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For each , a unary function symbol, to be interpreted as multiplication by .
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Function symbols of arity (in other words constants) and , to be interpreted as additive and multiplicative identity elements.
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Two unary relation symbols and , to be interpreted the real and imaginary parts of the trace .
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For technical reasons explained in [8], we also introduce for each -variable non-commutative polynomial a symbol representing the evaluation of , along with the appropriate range bounds given by the supremum of over all in a tracial -algebra .
Each function and relation symbol is assigned range bounds and moduli of continuity that one would expect, e.g. multiplication is supposed to map into with and .
Although not every -structure comes from a tracial -algebra, one can formulate axioms in the language such that any structure satisfying these axioms comes from a tracial -algebra [8, §3.2]. In order to state this result precisely, we first have to explain formulas and sentences.
2.3 Syntax: Terms, formulas, conditions, and sentences
Terms in a language are expressions obtained by iteratively composing the function symbols and variables. For example, if , , …are variables in a sort and and are function symbols, then is a term. Each term has assigned range bounds and moduli of continuity in each variable which are the natural ones computed from those of the individual function symbols making up the composition. Any term with variables , …, and output in can be interpreted in an -structure as a function . For example, in the language , the terms are expressions obtained from iterating scalar multiplication, addition, multiplication, and the -operation on variables and the unit symbol . If is a tracial -algebra, then the interpretation of a term in is a function represented by a -polynomial.
Basic formulas in a language are obtained by evaluating relation symbols on terms. In other words, if , …, are terms valued in sorts , …, , and is a relation , then is a basic formula. The basic formulas have assigned range bounds and moduli of continuity similar to the function symbols. In an -structure , a basic formula is interpreted as a function . In , a basic formula can take the form or where is an expression obtained by iterating the algebraic operations. Thus, when evaluated in a tracial -algebra, it corresponds to the real or imaginary part of the trace of a non-commutative -polynomial.
Formulas are obtained from basic formulas by iterating several operations:
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Given a formulas , …, and continuous, is a formula.
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If is a formula, is a domain of quantification for some sort , and is one of our variables in , then and are formulas.
Each occurrence of a variable in is either bound to a quanitifer or , or else it is free. We will often write for a formula to indicate that the free variables are , …, .
All these formulas also have assigned range bounds and moduli of continuity. The moduli of continuity of are obtained by composition from the moduli of continuity of and as in [3, §2 appendix and Theorem 3.5]. Next, if and
then
Each formula has an interpretation in every -structure , defined by induction on the complexity of the formula. If , then . Similarly, if , then
Here , …, are elements of the sorts in the -structure , rather than formal variables.
Example 2.1.
In , some terms are
A basic formula is
Another formula is
We can also write a formula
which will be interpreted as the supremum of the previous formula over in the ball of radius . In this formula, is bound to the quantifier and the variables and are free.
For convenience, we will assume that our formulas do not have two copies of the same variable (i.e. if a variable is bound to a quantifier, there is no other variable of the same name that is free or bound to a different quantifier). For instance, in the formula
the first occurrence of is free while the latter two occurrences are bound to the quantifier , but we can rewrite this formula equivalently as
We will typically denote the free variables by and the bound variables by . Lowercase letters will be used for formal variables while uppercase letters will be used for individual operators in operator algebras (or more generally elements of an -structure).
2.4 Theories, models, and axioms
A sentence is a formula with no free variables. If is a sentence, then the interpretation in an -structure is simply a real number.
A theory in a language is a set of sentences. We say that an -structure models the theory , or if for all .
If is an -structure, then the theory of , denoted is the set of sentences such that . As observed in [8], the theory of also uniquely determines the values of all sentences since is a sentence for every constant .
More generally, if is a class of -structures, then is the set of all sentences such that for all in . The class is said to be axiomatizable if every -structure that models is actually in .
It is shown in [8, §3.2] that the class of -structures that represent actual tracial -algebras is axiomatizable. The axioms, roughly speaking, encode the fact that is a -algebra, the fact that is a tracial state, the fact that for , the relationship between the distance and the trace, the fact that is contained in for (that is, ), and the fact that agrees with the evaluation of the non-commutative polynomial .
The theory of tracial -algebras will be denoted . It is also shown in [8] that factors (infinite-dimensional tracial -algebras with trivial center) are axiomatizable by a theory .
2.5 Ultraproducts
An important construction for continuous model theory and for -algebras is the ultraproduct. Ultraproducts are a way of constructing a limiting object out of arbitrary sequences (or more generally indexed families) of objects. In order to force limits to exist, one uses a device called an ultrafilter.
Let be an index set. An ultrafilter on is a collection of subsets of such that
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If and , then .
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If , , then .
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For each , either or .
If is an ultrafilter on , is a topological space, and is a function, then we say that
if for every neighborhood in , the preimage is an element of . Now if , there is an ultrafilter , which is called a principal ultrafilter. All other ultrafilters are called non-principal or free ultrafilters.
The set of all ultrafilters on can be identified with the Stone-Čech compactification of , where is given the discrete topology (see e.g. [19, §3]). The principal ultrafilters correspond to the points of the original space . In particular, this means that if is a compact Hausdorff space and is a function, then exists in .
Now consider a language . Let be an index set, an ultrafilter on , and for each , let be an -structure. The ultraproduct is the -structure defined as follows (see [3, §5]): For each sort , consider tuples where .
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Let’s call confined if there exists such that for all .
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Let’s call and equivalent if .
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For a confined tuple , let denote its equivalence class.
We define to be the set of equivalence classes of confined tuples . The metric on is then given by
This is independent of the choice of representative for the equivalence classes because of the triangle inequality, and it is finite because if and for all , then . Then is a metric space and , where is the set of classes with for all . Moreover, is automatically complete [3, Proposition 5.3].
Each function symbol receives its interpretation through
which is well-defined because of the uniform continuity of on each domain of quantification, and similarly, each relation receives its interpretation in through
One can verify by the same reasoning as [3, §5] that is indeed an -structure.
One of the reasons ultraproducts are so important is because of the following result, known as (the continuous analog of) Łos’s theorem. See [3, Theorem 5.4].
Theorem 2.2.
Let be a language, an ultrafilter on an index set , and an -structure for each . Let . If is a formula with free variables , …, , then for any , …, , we have
Corollary 2.3.
In the situation of the previous theorem, if is an -theory, and if for all , then .
In particular, this shows that an ultraproduct of -structures that are tracial -algebras will also be an -structure that is a tracial -algebra. One can verify that the model-theoretic ultraproduct agrees in this case with the ultraproduct of tracial -algebras.
3 Definable predicates and functions
This section describes types, definable predicates, and definable functions. The material in §3.1 - §3.4 is largely a mixture of folklore and adaptations of [3]; our main contribution is to write down the results in the setting of infinite tuples and domains of quantification. In §3.5, we give a characterization of quantifier-free definable functions in based on [22, §13] and [18, §2].
3.1 Types
Definition 3.1.
Let be an -tuple of sorts in . Let be the space of -formulas with free variables with from the sort . If is an -structure and , then the type of is the map
Definition 3.2.
Let be an -tuple of sorts in , and let be an -theory. If , then we denote by the set of types of all for all .
Definition 3.3.
If is an -tuple of -sorts, the set of formulas defines a real vector space. For each -structure and , the type is a (real) linear map . Thus, for each -theory and , the space is a subset of the dual . We equip with the weak- topology (also known as the logic topology).
The following observation is well known; see [3, Corollary 5.12, Proposition 8.6]
Observation 3.4.
is compact in the weak- topology.
Proof.
Each formula has a range bound such that for all -structures and all . Thus, is a subset of with the product topology, which is compact by Tychonoff’s theorem.
Moreover, is a closed subset. While closedness can be expressed in terms of nets, it can also be expressed in terms of ultralimits. A set is closed if and only if for every and and ultrafilter , the limit exists in . It then follows from Theorem 2.2 that if is an element of an ultraproduct of -structures , then . ∎
Although many times authors choose to work with for each , we find it convenient to specify a topology on the entire space of types that extends the topology on each , so that our later results can be stated about globally. The topology on is given by a categorical colimit of the topologies on .
Definition 3.5.
For a language , tuple of sorts, and theory , let denote the space of -types for all . Note that is the union of all for all . We say that is open if is open for every ; this defines a topology on , which we will also call the logic topology.
Observation 3.6.
For a language , tuple of sorts, theory , and , the inclusion map is a topological embedding.
Proof.
Note that is Hausdorff; indeed, and are two distinct types, then there exists a formula with . One can check that the sets
are open and they separate and .
Continuity of the inclusion map follows from the definition of open sets in . Then since is compact and is Hausdorff, the map is a topological embedding. ∎
Observation 3.7.
For a language , tuple of sorts, theory , and topological space , a function is continuous if and only if is continuous for every .
Proof.
This follows from the definition of open sets in . ∎
3.2 Definable predicates
Next, we describe definable predicates, which are certain limits of formulas. It will turn out that definable predicates correspond precisely to continuous functions , and thus they are a natural completion of the space of formulas in the setting of continuous model theory. Our approach to the definition will be semantic rather than syntactic, defining these objects immediately in terms of their interpretations.
Definition 3.8.
Let be a language and an -theory. A definable predicate relative to is a collection of functions (for each ) such that for every collection of domains and every , there exists a finite and an -formula such that whenever and , we have
In other words a definable predicate is an object that can be uniformly approximated by a formula on any product of domains of quantification, where the approximation works uniformly for all models of the theory . This is done relative to because, for instance, in the study of tracial -algebras we do not care if the definable predicate makes sense to evaluate on arbitrary -structures, only those which actually come from tracial -algebras.
Note that every formula defines a definable predicate. However, two formulas as defined in the previous section (where the range bounds and moduli of continuity are part of the definition) may reduce to the same definable predicate (especially given the restriction that we work relative to a given theory ).
The next proposition describes definable predicates as continuous functions on the space of types. This is an adaptation of [3, Theorem 9.9] to the setting with domains of quantification.
Proposition 3.9.
Let be a language and an -theory. Let be a collection of functions for each . The following are equivalent:
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is a definable predicate relative to .
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There exists a continuous such that for all and .
Proof.
(1) (2). First, suppose that is a formula. Then by definition of type, only depends on the type of in , and hence for some . For each , the restriction of to a map is continuous by definition of the weak- topology. Hence, by Observation 3.7, is a continuous function .
Now let be a general definable predicate. Fix . Then taking in Definition 3.8, there exists a formula depending on finitely many of the variables , such that
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for all and . By the previous paragraph, there exists a continuous such that for all and . By (3.1),
which implies that the sequence converges as to a continuous . Also, by (3.1),
for and . This in turn implies that and agree on for any and . Thus, for some function , we have for . By Observation 3.7, is continuous on .
(2) (1). Assume there exists continuous such that for all and . Fix . Let be the set of functions given by the application of formulas . Then is a subalgebra of since formulas are closed under sums, products, and scalar multiplication by real numbers. Moreover, separates points because by definition two types are the same if they agree on all formulas. Therefore, since is continuous, the Stone-Weierstrass theorem implies that there exists a formula depending on finitely many of the variables such that whenever and . ∎
Lemma 3.10.
If is an -tuple of types and , then the logic topology on agrees with the weak- topology obtained by viewing as a subspace of the dual of the vector space of definable predicates.
Proof.
We defined the logic topology as the weak- topology generated by the pairing of types with formulas in variables for . Since every formula gives a definable predicate, the weak- topology obtained from the pairing with definable predicates is at least as strong as the logic topology. On other hand, for each , every definable predicate can be approximated uniformly by for all , and hence the pairing with each definable predicate defines a map that is continuous with respect to the logic topology, and hence the logic topology is at least as strong as the weak- topology obtained from pairing with definable predicates. ∎
Just like formulas, definable predicates are uniformly continuous on any product of domains of quantification. But to say this properly, we should clarify what “uniform continuity” means for a function of infinitely many variables. If is a metric space, then with the product topology is metrizable but without a canonical choice of metric. However, we will say that is uniformly continuous if for every , there exists a finite and , such that
In other words, uniform continuity is defined with respect to the product uniform structure on (see for instance [21] for background on uniform structures).
Observation 3.11.
If is a definable predicate over relative to , then satisfies the following uniform continuity property:
For every and , there exists a finite and such that, for every and ,
Moreover, for every , there exists a constant such that for all .
By construction, this result holds for formulas in finitely many ’s, and it holds for general definable predicates by the principle that uniform continuity and boundedness are preserved under uniform limits.
Another useful property is that definable predicates are closed under the same types of operations as formulas. In fact, we can use infinitary rather than finitary operations. Point (1) here is an adaptation of [3, Proposition 9.3].
Lemma 3.12.
-
(1)
If is continuous (where has the product topology) and are definable predicates in relative to , then is a definable predicate.
-
(2)
If is a definable predicate in relative to and , then
is also definable predicate in relative to .
Proof.
-
(1)
This follows from 3.9 and the fact that continuity is preserved by composition.
-
(2)
Fix and . Then there exist a formula whose free variables are a finite subset of the ’s and ’s, such that on for all . Note that
also defines a formula because the infimum is effectively over only finitely many ’s. Also, on for all . Therefore, is a definable predicate. ∎
We conclude with a brief remark on separability since we will use the separability of in the sequel. For a -theory , we equip with the locally convex topology generated by the family of seminorms
for . In other words, a net to converges in this topology if and only if for all .
Definition 3.13.
A language is separable if
-
(1)
has countably many sorts.
-
(2)
For every -tuple of sorts, the space is separable, where denotes the empty theory.
Observation 3.14.
If is a separable language, is an -theory, and is an -tuple of domains from an -tuple of sorts , then is metrizable.
Proof.
By separability of , there is a dense sequence in . Since the restriction maps and are continuous, also defines a dense subset in . For each , there exists a constant such that for all ; this holds because can be uniformly approximated on by formulas, which are also uniformly bounded. Then we may define a metric on by
The verification that this induces the weak- topology is routine. The types induce linear functionals on , or in other words, is contained in the unit ball of the dual of so convergence on a dense subset of is equivalent to convergence on all of . ∎
Observation 3.15.
The language of tracial -algebras is separable.
Proof.
Consider formulas obtained using only scalar multiplication by numbers in rather than and using only suprema and infima over for . There are only countably many such formulas, and one can show that these formulas are dense in the space of definable predicates. ∎
3.3 Definable functions
Although definable functions are often defined only for finite tuples, it is useful for the theory of covering entropy to work with infinite tuples as both the input and the output functions. The following “functional” description of definable functions makes it easy to prove properties relating them with definable predicates and the type space.
Definition 3.16.
Let and be -tuples of sorts in the language . A definable function relative to the -theory is a collection of maps for satisfying the following conditions:
-
(1)
For each , there exists such that for every , maps into .
-
(2)
Whenever is another tuple of sorts and is a definable predicate relative to in the free variables and for , then is a definable predicate in the variables and .
The next proposition gives a more down-to-earth characterization of definable functions which can be more easily checked in examples. This is in fact typically used as the definition [3, Definition 9.22].
Proposition 3.17.
Let and be -tuples of types in the language and let be an -theory. Let be a collection of maps for satisfying (1) of Definition 3.16. Then is a definable function if and only if, for each , the map is a definable predicate on .
Proof.
() Let , and consider the definable predicate . Taking in Definition 3.16 (2), we see that if is a definable function, then is a definable predicate. So substituting for , we have proved the claim.
() In order to verify (2) of Definition 3.16, let be an -tuple of sorts, and let be a definable predicate on . We need to show that is a well-defined definable predicate relative to . Thus, to check Definition 3.8, fix and and . Since we assumed that Definition 3.16 (1) holds, there exists such that maps into .
By Definition 3.8, there exists a formula depending on finitely many of the variables and that approximates within on . Let be the set of indices such that depends on . For , let
which is a definable predicate by our assumption on and by Lemma 3.12 (2).
We want to show that is close to when is sufficiently small. We automatically have for and when since is a value of participating in the infimum. To get a bound in the other direction, first observe that since is a formula, is bounded on by some constant . We then observe using the triangle inequality that
unless , and therefore the infimum is witnessed by such that . Furthermore, by the uniform continuity property of the formula (Observation 3.11), there exists such that if , then
It follows that for this value of ,
hence also
for and and . Since can be approximated in this way by definable predicates, it is a definable predicate, which proves the claim of the proposition. ∎
Corollary 3.18.
If is a term for each , then is a definable function relative to any theory .
Proof.
By definition a term maps a product of domains of quantification into some domain of quantification, which verifies (1) of Definition 3.16. Moreover, for each , is a formula, hence a definable predicate, so by the previous proposition is a definable function. ∎
Similar to definable predicates, definable functions are automatically uniformly continuous with respect to on each product of domains of quantification. This is a straightforward generalization of [3, Proposition 9.23].
Lemma 3.19.
Let be a language, an -theory, and -tuples of sorts, and a definable function. Then for every and finite and , there exists finite and such that
whenever and .
Proof.
Let such that maps into for all . Fix and finite. Then by Lemma 3.12 and Proposition 3.17, the object
is a definable predicate relative to . Hence, by Observation 3.11 there exists finite and such that
for , and , and . Taking , we see that
whenever and , and , which is the desired uniform continuity property. ∎
Next, we describe the relationship between definable functions and types.
Lemma 3.20.
Let and be -tuples of sorts, and let be a definable function relative to .
-
(1)
If is a definable predicate in the variables for , then is a definable predicate.
-
(2)
If and , then is uniquely determined by and .
-
(3)
Let be the map such that . Then is continuous with respect to the logic topology.
Proof.
(1) Considering another -tuple of sorts, we may view as a definable predicate in , and hence by Definition 3.16, is a definable predicate.
(2) For every definable predicate in , is a definable predicate, and hence is uniquely determined by for all and . Since this is true for every definable predicate in variables , it follows that is uniquely determined by and .
(3) Let be an open set in . By definition of the topology on , in order to show that is open, is suffices to show that is open for every .
For any such , by Definition 3.16 (1), there exists such that maps into for all . This implies that maps into . Hence, , so to show that this set is is open, it suffices to check continuity of as a map .
By Lemma 3.10, the topology on is generated by the pairings of types with every definable predicate in the variables . If is such a definable predicate, then is a definable predicate in by (1), and therefore, it is continuous with respect to the logic topology on . Thus, the map is continuous as desired. ∎
Finally, we verify that definable functions are closed under composition.
Observation 3.21.
Let , , and be -tuples of sorts in the language . If and are definable functions, then so is .
Proof.
If , then since is definable, there exists such that maps into for every . Similarly, there exists such that maps into . Hence, maps into , so that satisfies (1) of Definition 3.16.
Let be another -tuple of sorts and let be a definable predicate in the variables for and for . By the definability of , is also a definable predicate. Then by definability of , is a definable predicate. Therefore, satisfies (2) of Definition 3.16, so it is a definable function. ∎
3.4 Quantifier-free types and definable predicates
Quantifier-free formulas, that is, formulas defined without suprema or infima, are the simplest kind of formula and have special significance in our study of tracial -algebras.
Definition 3.22.
Quantifier-free formulas are formulas obtained through the application of relations to terms and iterative application of continuous functions , that is, formulas obtained without using and operations. If is an -tuple of sorts, we denote the set of quantifier-free formulas in variables for by .
Quantifier-free types, the space of quantifier-free types, and quantifier-free definable predicates are defined in the same ways as the analogous objects for types, to wit:
Definition 3.23.
Let be an -tuple of sorts in the language . If is an -structure, then the quantifier-free type of is the map
Definition 3.24.
-
•
If is an -theory and is an -tuple of sorts, then will denote the set of types for and .
-
•
If , then will denote the set of types for and .
-
•
We equip with the weak- topology as a subset of the dual of .
-
•
We equip with the topology such that is open if and only if is open for every . We call this the (quantifier-free) logic topology.
Definition 3.25.
Let be an -theory and is an -tuple of sorts. A quantifier-free definable predicate is collection of functions for such that for every and , there exists a quantifier-free formula in finitely many of the variables , such that
for for .
The following can be verified in the same way as for types, when is an -tuple of sorts and is an -theory:
-
•
For each , the space is a compact Hausdorff space.
-
•
is a quantifier-free definable predicate if and only if for some continuous .
-
•
If is a quantifier-free definable predicate for and is continuous, then is a quantifier-free definable predicate.
Furthermore, the quantifier-free type space and the type space can be related as follows.
Observation 3.26.
Let be an -tuple of sorts in and an -theory. Let be the map that sends a type (as a linear map ) to its restriction to . Then for each , and is a topological quotient map.
Proof.
First, is a continuous map by definition of the weak- topology. Then since a set in is open if and only if its restriction to is open, and the same holds for the quantifier-free versions, we deduce that is continuous. It is immediate from the definitions that . Then because is compact and is Hausdorff, defines a topological quotient map . Finally, using the definition of open sets in and , we deduce that is open if and only if is open, hence is a topological quotient map. ∎
Remark 3.27.
A convenient feature of is that . Indeed, suppose that and with . Then the operator norm of can be recovered from through
hence , so that .
3.5 Quantifier-free definable functions in
Quantifier-free definable functions are defined analogously to definable functions.
Definition 3.28.
be an -theory, and let and be -tuples of sorts. A quantifier-free definable function is a collection of functions for all satisfying the following conditions:
-
(1)
For each , there exists such that for every , maps into .
-
(2)
Whenever is another tuple of sorts and is a quantifier-free definable predicate relative to in the free variables and for , then is a quantifier-free definable predicate in the variables and .
Example 3.29.
If is a term in a finite subset of the variables , then is a quantifier-free definable function relative to any -theory . To see this, suppose that is a quantifier-free definable predicate and is a tuple of domains of quantification. Let map into . As a quantifier-free definable predicate, can, for any given , be approximated on by a quantifier-free formula with error smaller than on for all . Then is a quantifier-free formula that approximates within on for all .
The following facts about quantifier-free definable functions are verified just as in the case of definable functions:
-
•
Quantifier-free definable functions are closed under composition.
-
•
If is a quantifier-free definable predicate and is a quantifier-free definable function, then is a quantifier-free definable predicate.
-
•
For each definable function , there is a continuous map given by .
-
•
If is a quantifier-free definable function, then for each , the object is a quantifier-free definable predicate.
-
•
Hence, is a quantifier-free definable function, then it is a definable function by Proposition 3.17.
-
•
Thus, a quantifier-free definable function is uniformly continuous on every product of domains of quantification.
The proof of () in Proposition 3.17 uses quantifiers (specifically infima) and thus does not directly adapt to the quantifier-free setting. This is why we argued that terms are quantifier-free functions directly in Example 3.29 rather than as in Corollary 3.18.
In the special case of and , we have the following characterizations of quantifier-free definable functions. Recall that has one type and the domains of quantification are given by for each . Given , we write for the set of quantifier-free types of -tuples in in relative to . A variant of this theorem was proved in the author’s Ph.D. thesis [22, Proposition 13.6.4].
Theorem 3.30.
Let be a collection of functions for each . Suppose that for every , there exists such that maps into ; assume that for each a corresponding has been chosen, which we will refer to below. Then the following are equivalent.
-
(1)
is a quantifier-free definable function in relative to .
-
(2)
For each , the object is a quantifier-free definable predicate.
-
(3)
For each , , and quantifier-free type and , there exists a term and an open neighborhood of in such that, for all and ,
and
-
(4)
For each , , and , there exist , quantifier-free formulas , …, , and terms , …, such that
whenever and .
Proof.
(1) (2) follows as in Proposition 3.17.
(2) (3). Fix and and . Let be an -tuple from a tracial -algebra which has quantifier-free type . Note that if is a quantifier-free formula and is a -subalgebra of containing , then . Hence, the quantifier-free type of in is the same as the quantifier-free type in . In particular, we can replace with and thus assume without loss of generality that .
Recall that is faithfully represented on the GNS space (see §2.1, the standard representation). By the Kaplansky density theorem [27], [26, Theorem 5.3.5], the ball of radius in the -algebra generated by is dense in the ball of radius in with respect to the strong operator topology. Since approximation in the strong operator topology implies approximation in the -norm associated to the trace, it follows that there exists such that and .
Next, we must obtain a term bounded by such that . Because we want to be bounded by on for all , we view the -polynomials in infinitely many indeterminates as part of a universal -algebra. For -polynomials in infinitely many variables , let
This defines a -norm on . Let be the completion of into a -algebra. If and , then by definition, so there is a -homomorphism mapping to for each . By [5, II.5.1.5], there exists such that and .
Now by definition is dense in . It follows that every element of the -ball of can be approximated by non-commutative -polynomials in the -ball. In particular, there exists some with , and we can also arrange that .
Then is a term such that for all for all and such that
for our particular choice of with . Now observe that
is a quantifier-free definable predicate since the term is a quantifier-free definable function. Let
Then by our choice of and is open by continuity of . Moreover, by definition, if and and , then .
(3) (4). Fix , , and . For each , there exists an open and a term such that for and ,
and
The sets form an open cover of the compact set , and hence there exists and , …, such that , …, cover . Let , .
Since is a compact Hausdorff space, there exists a continuous partition of unity , …, subordinated to the cover , …, . In other words, there exist , …, such that , , and . Therefore, for and ,
and
Because quantifier-free formulas comprise a dense subset of by the Stone-Weierstrass theorem, there exist quantifier-free formulas , …, such that
It follows that
and
Therefore, let . Then
and
Hence, by the triangle inequality,
By choosing sufficiently small, we can guarantee that the right-hand side is smaller than a given , so the quantifier-free formulas , …, have the desired properties for (4).
(4) (2). Fix and we will show that is a quantifier-free definable predicate. To this end, fix , , and , and we will approximate by a quantifier-free formula on within for . Let and , …, and , …, be as in (4) for our given and , and let
Then for and and , we have
But note that
which is a quantifier-free formula by inspection.
(3) (1). Let be a quantifier-free definable predicate, and we will show that defines a continuous function on for each for each , and hence is a quantifier-free definable predicate. To this end, it suffices to show that for each , each , and each , there exists an neighborhood of in such that
whenever and .
Fix , , and . Let be such that maps into for . By the uniform continuity property of definable predicates, there exists finite and such that
By (3), for each , choose a term and open such that, for all and ,
and
For , let . Then, by our choice of and , for all and ,
Moreover, is an -tuple of terms, hence is a quantifier-free definable function. This implies that is a quantifier-free definable predicate. This implies that
is open in . Let
Then and implies that
as desired. ∎
Example 3.31.
Suppose , and let for , where is defined through functional calculus. By approximating uniformly on by a polynomial and applying the spectral theorem, we can verify Theorem 3.30 (3) and hence conclude that is a quantifier-free definable function relative to . Similarly, if , then is a quantifier-free definable function, an observation that we will use in the proof of Proposition 3.32. In this way, continuous functional calculus fits into the larger model-theoretic framework of quantifier-free definable functions.
Building on Theorem 3.30 and Example 3.31, we can show that every element of the -algebra can be realized as a quantifier-free definable function applied to the generators. This fact will be use later on to show that covering entropy remains invariant under change of generators for a tracial -algebra. This is a version of [22, Proposition 13.6.6] and [18, Proposition 2.4], and the idea behind the proof is a “forced limit” construction (see [4, §3.2], [3, §9, definable predicates]) applied to quantifier-free definable functions rather than quantifier-free definable predicates.
Proposition 3.32.
If is a tracial -algebra and generates and , then there exists a quantifier-free definable function in relative to such that . In fact, can be chosen so that maps into for all .
Proof.
Arguing as in (2) (3) of Theorem 3.30, for each and , there exists a non-commutative polynomial such that
for and and
Hence also
Let be the continuous function such that for and for and is affine on . Then
is a quantifier-free formula. Moreover, by construction, for our given and , while at the same time is zero whenever for any and . Let
Then satisfies the same properties that we just showed for with the additional property that .
For and , define
Then is a quantifier-free definable function by Theorem 3.30 since it is equal to a finite sum of quantifier-free formulas multiplied by terms. Observe that for and ,
relying on the fact that . Furthermore, for , we have
This implies that for , the sequence converges as to some with
Furthermore, for our given and , we have
because we assumed that as .
Now this is only well-defined a priori on for our fixed choice of . In order to extend it to a global function, we use a cut-off trick based on Example 3.31. Let be the function
Let be given by . Then is a quantifier-free definable function relative to by Example 3.31. Moreover, if and , we have
since . Therefore, maps into for all . Also, for .
Now is a quantifier-free definable function since it is a composition of quantifier-free definable functions. Because converges to uniformly on as , we see that converges uniformly to globally as . This implies that is a quantifier-free definable function because quantifier-free functions are closed under limits that are uniform on each product of domains (for instance, using Theorem 3.30 (3) or (4)). Moreover, by construction. Finally, maps into for all since maps into . ∎
Remark 3.33.
We can also deduce from the proof that every continuous function on extends to a continuous function on , namely where is as in the proof. In other words, every quantifier-free definable predicate on relative to extends to a global quantifier-free definable predicate. The same can be said for definable predicates, dropping the word “quantifier-free” in this argument.
Proposition 3.32 also leads to a proof of the following fact, which is well-known among -algebraists:
Lemma 3.34.
Let be an -tuple in a tracial -algebra and an -tuple in a tracial -algebra . Let and be the -subalgebras generated by and with the traces obtained from restricting the traces on and respectively. Then the following are equivalent:
-
(1)
.
-
(2)
There exists a trace-preserving -isomorphism such that .
Proof.
(2) (1). If such a -isomorphism exists, then for every , we have . Hence, every atomic formula evaluates to the same thing on and on . Since general quantifier-free formulas are obtained by applying continuous connectives to atomic formulas, it follows by induction on complexity that for any quantifier-free formula , and hence .
(1) (2). Let be the set of quantifier-free definable functions in with respect to . Since quantifier-free functions are closed under composition, is a -algebra. Moreover, the evaluation maps and are -homomorphisms, and by the previous proposition the images of and are and respectively. Since and are quantifier-free definable predicates, for , hence also . This implies that . Therefore, we obtain a -isomorphism , which is trace-preserving since . ∎
4 Entropy for types
We define a version of Hayes’ -bounded entropy for types rather than only quantifier-free types. Later, in §5, we will see that Hayes’ -bounded entropy of in the presence of (denoted ) can be realized as a special case of entropy for a closed subset of the type space.
4.1 Definition of covering entropy
If is a subset of the type space and , we define
We view this as a microstate space as in Voiculescu’s free entropy theory. We will then define the entropy of through covering numbers of up to unitary conjugation.
Definition 4.1 (Orbital covering numbers).
Given and a finite and , we define to be the set of such that there exists a unitary in and such that for all . If , we say that orbitally -covers . We denote by the minimum cardinality of a set that orbitally -covers .
Definition 4.2.
Fix a non-principal ultrafilter on . For a subset of the and finite and , we define
Observation 4.3 (Monotonicity).
Let , let finite, let , and let , with . Then
In particular, if is open, then
Definition 4.4 (Entropy for types).
For , define
and
Moreover, if , we define .
4.2 Variational principle
In this section, we show that the covering entropy defines an upper semi-continuous function on the type space, and then deduce a variational principle for the entropy of a closed set, in the spirit of various results in the theory of entropy and large deviations.
Lemma 4.5 (Upper semi-continuity).
For each , finite, and , the function is upper semi-continuous on .
Proof.
For each open , let
Since is open, is upper semi-continuous. Moreover, is the infimum of over all open , and the infimum of a family of upper semi-continuous functions is upper semi-continuous. ∎
Proposition 4.6 (Variational principle).
Let and let , finite, and . Then
(4.1) |
Hence,
(4.2) |
Proof.
If , then by monotonicity (Observation 4.3), . Taking the supremum over , we obtain the first inequality of (4.1).
For the second inequality of (4.1), let . If , there is nothing to prove. Otherwise, let . For each , there exists some open neighborhood of in such that . Since is an open cover of the compact set , there exist , …, such that
Let . Then
Thus,
Taking the limit as ,
Since was arbitrary,
completing the proof of (4.1). Taking the supremum over and and in (4.1), we obtain (4.2). ∎
4.3 Invariance under change of coordinates
Next, we prove certain invariance properties of the covering entropy. First, is independent of provided that . Second, if inside , then , which allows us to define for a -subalgebra inside . Both of these properties are deduced from the following lemma about push-forward under definable functions. This is closely related to [16, Lemma A.8 and Theorem A.9].
Proposition 4.7 (Monotonicity under push-forward).
Let be a definable function relative to , let , and let be such that maps into . Let be closed. Then
Remark 4.8.
The analogous monotonicity property does not hold for the original -bounded entropy of a quantifier-free type, but it does hold for -bounded entropy in the presence. The monotonicity property holds for the full type and for the existential type of because those types already encode information about how interacts with the ambient algebra. For more information, see Remark 5.16.
Proof.
Let finite and be given. Because is a definable function, it is uniformly continuous by Lemma 3.19, hence there exists a finite and such that for every and , ,
(4.3) |
Let be a neighborhood of in . By Urysohn’s lemma, there exists a continuous function such that on and on . As in Proposition 3.9, there exists a formula such that on . Next, define by
which is a definable predicate relative to by Lemma 3.12.
Viewing as a continuous function on , let . Note that since if , then we can take this value of in the infimum defining and obtain that . Meanwhile, if and with , then there exists with
which implies that and . Applying this with , we obtain
If is an -cover of , then by (4.3) and the fact that is equivariant with respect to conjugation of an -tuple by a fixed unitary, is an orbital -cover of , and therefore also an orbital -cover of . It follows that
Hence,
Since was an arbitrary neighborhood of , we obtain
Since and were arbitary, we conclude that , as desired. ∎
Corollary 4.9.
If is a closed subset of , then .
Proof.
Corollary 4.10.
Let be a tracial -algebra and , . If , then
In particular, if , then .
Proof.
With this invariance result in hand, it seems natural to define the covering entropy for a separable -subalgebra of as the entropy of any -tuple of generators. However, the following definition works even in the non-separable case.
Definition 4.11.
If is a tracial -algebra and is a -subalgebra, we define
Observation 4.12.
Let be a tracial -algebra, and let be a -subalgebra. If generates , then for any , we have by Corollary 4.10, and therefore,
Moreover, if is a -subalgebra of , then .
Remark 4.13.
Furthermore, it is evident from Definition 4.11 that only depends on the set of types in that are realized in . Hence, if two embeddings and are elementarily equivalent—meaning that for every definable predicate and , we have —then .
4.4 Entropy and ultraproduct embeddings
Lemma 4.14 (Ultraproduct realization of types).
Let . Let . Then is either nonnegative or it is . Moreover, if and only if there exists such that .
Proof.
Note that is either or it is . Therefore, is either nonnegative or it is . It remains to show the second claim of the lemma.
() In light of the foregoing argument, if , then for some . By Observations 3.14 and 3.15, is metrizable, hence there is a sequence of neighborhoods of in such that and . For , let
Now choose as follows. For each , set . For each , let be an element of . If , that means that , so in this case we may choose with .
Since is an ultrafilter, either or . If we had , then would be since the set would be empty for . Hence, . For , we have . Therefore, . Since this holds for all , . Let . Then
() Suppose that is an element of the ultraproduct with type . Let . Express as for some with . Since the type of converges to the type of , for every neighborhood of , there exists such that for all , and in particular, for . This implies that for every and . Hence, . ∎
Recall that an embedding of tracial -algebras is said to be elementary if for every definable predicate and , we have . This in particular implies that and are elementarily equivalent, that is, they have the same theory.
Corollary 4.15.
Suppose that is a separable tracial -algebra and is a -subalgebra. If , then there exists an elementary embedding .
Remark 4.16.
Since the embedding is elementary, in particular the embeddings and are elementarily equivalent, and hence .
Proof of Corollary 4.15.
By Observation 4.12, . Let generate . Then by the previous lemma, there exists with the same type of . In particular, since and have the same quantifier-free type, Lemma 3.34 shows that there is an embedding with . To show that is elementary, suppose that and is a definable predicate. By Proposition 3.32, there exists a quantifier-free definable function such that . Since is quantifier-free, , hence . Therefore, , where the middle equality follows because , and therefore the embedding is elementary. ∎
4.5 Entropy and Algebraicity
In this section, we show that , where is the algebraic closure of continuous model theory. At present, very little is known about algebraic closures for tracial -algebras. Nonetheless, it is natural to study how the model-theoretic -bounded entropy behaves under this model-theoretic operation, analogously to how Hayes studied the behavior of -bounded entropy under various -algebraic operations (see [16, §2] and [18, §2.3]).
First, we explain the definition of algebraic closure.
Definition 4.17 (Algebraicity).
Let be a structure in some language , and let be a substructure. Let be a sort in .
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A map is a definable predicate in over if for every and , there exists a formula in variables from for and from for , and there exists such that
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If , we say that is definable in over if the map is definable in over .
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If , we say that is algebraic over if there exists a compact set such that and is definable in over .
Remark 4.18.
It will be convenient in our arguments that for tracial -algebras and , if a function is definable in over , then there exists a definable predicate and such that . This follows by a forced-limit argument similar to Proposition 3.32: Since is definable in over , then for each , there exists a formula and such that
Let by an -tuple obtained by joining together the ’s into a single tuple, so that can be viewed as a definable predicate in . Similar to the proof of Proposition 3.32, there exists a definable predicate such that and on . Then
converges uniformly on every domain and satisfies .
Definition 4.19 (Algebraic closure).
Let be an -structure and an -substructure. We define to be the set of that are algebraic in over . We let . (Although we omit from the notation, the algebraic closure a priori depends on the ambient structure .)
For the properties of algebraic closure, see [3, §10]. In particular, one can show that if , then (“what is algebraic over the algebraic closure of is algebraic over ). Moreover, one can verify directly from Definition 4.17 that is a term and , …, , then . By combining these properties, it follows that is an -substructure of .
Thus, in particular, if are tracial -algebras, then the algebraic closure of in is a tracial -subalgebra of as well. We will show that . We first consider the case of adjoining to an -tuple a single element that is algebraic over , and this case takes the bulk of the work.
Theorem 4.20.
Let be an -tuple in . Let be algebraic over . Then
The inequality follows from Proposition 4.7, so we only need to prove the opposite inequality.
The idea of the argument is that comes from a definable compact set . We can cover by some finite number of -balls. Transferring this to the microstate approximations would tell us that for each matrix approximation for , the possible matrix approximations for can be covered by many -balls. So the covering number for the microstate space of would be at most times that of ; the factor of is negligible in the large- limit because we will take the logarithm and divide by .
Proof.
holds by Proposition 4.7.
By algebraicity of and Remark 4.18, there exists a compact , a definable predicate relative to , and such that and . Since for some quantifier-free definable function , we have
where is the definable predicate given by composing with in the coordinates , , ….
Fix such that and fix such that . We want to show that
Here we regard as starting at , and we index the tuple by , where the index corresponds to . Fix finite and . Since enlarging would only increase the quantity inside the , assume without loss of generality that contains the index corresponding to the variable , hence for some .
By compactness of , there exists and there exist , …, such that the -balls centered at , …, cover . This implies that every point within a distance of from is within a distance of from one of the points , …, , and therefore
Choose such that . Let and be the definable predicates
so that and .
By uniform continuity (Observation 3.11), there exists finite and such that for all , all , …, , and all , , we have
Fix a neighborhood of , and let
which is a neighborhood of . Let and . We claim that
There exists an orbital -cover of with and . Indeed, we can let be any orbital -cover of not necessarily contained in and let contain one point for each where the intersection is nonempty.
For each , we have
and therefore, there exist , …, such that
Choose for each a corresponding , …, , and let
We claim that is an orbital -cover of . Let . Then . Therefore, there exists a unitary and such that . Let , …, , and note that because for , we have
hence
By definition of , this means that
Now because , we have
it follows that
and therefore
hence for some . Therefore, overall
and thus , which shows that .
We conclude that
Hence, applying to both sides,
Because for every there exists such an , we obtain
Then because for every there exists such an , we get
Taking the supremum over and completes the proof. ∎
Corollary 4.21.
Let be a tracial -algebra and a tracial -subalgebra. Then
Proof.
The inequality holds by Observation 4.12.
On the other hand, suppose that is an -tuple in . Using Remark 4.18, each is algebraic over some separable -subalgebra of . Let be the join of all these subalgebras, so that is separable and is algebraic over . Let generate . Since is algebraic over , we have
Similarly, since is algebraic over , we have
Continuing inductively, for ,
Now to analyze , suppose and and is finite. Then for some . For every neighborhood of , there is a corresponding neighborhood of given as the preimage of under map restricting the type of an -tuple to the type of the -subtuple. Since , then
where is the restriction of to . This implies that
Since , , and were arbitrary, . Also, by Corollary 4.10. Since was an arbitrary -tuple in , we obtain as desired. ∎
5 Entropy for quantifier-free and existential types
In this section, we explain how Hayes’ -bounded entropy (or covering entropy for non-commutative laws) relates to the entropy for types in this paper. Specifically, the -bounded entropy for laws corresponds is the version for quantifier-free types and the -bounded entropy of in the presence of a larger -algebra is the version for existential types.
5.1 Entropy for quantifier-free types
We begin with the quantifier-free version, essentially the same as orbital version of in [16, Appendix A].
Definition 5.1 (Entropy for quantifier-free types).
For and , we define
Then we define for finite and ,
and we set
For , let .
Some earlier works such as [16] phrased the definition of in terms of particular open sets (for instance, those defined by looking at moments of order up to being within some distance of the moments of ). This does not change the definition because of the following lemma.
Lemma 5.2.
Let . Let . Let be a sequence of open subsets of such that and . Then
The same holds with and replaced by their quantifier-free versions.
Proof.
By Observation 4.3,
so that
For the inequality in the other direction, fix open. Then is closed and disjoint from . Moreover, it is contained in . By compactness, there is a finite subcollection of ’s that covers . The ’s are nested, so there exists some such that , hence . Therefore,
Since was arbitrary,
The argument for the quantifier-free case is identical. ∎
This lemma also allows us to relate the entropy for quantifier-free types directly to the entropy for types .
Lemma 5.3.
Let be the canonical restriction map. Let be closed. Then
Proof.
Fix , and let . Since is metrizable, there exists a sequence of open sets in such that and (and these can be extended to open sets in since the inclusion of is a topological embedding). Now is open in and and . Note that . Thus, using the previous lemma,
Taking the supremum over , , and completes the argument. ∎
In particular, by combining this with the variational principle (Proposition 4.6), we obtain the following corollary.
Corollary 5.4.
Let be the restriction map. If , then
This also implies that the quantifier-free entropy of only depends on , which is an important property of -bounded entropy previously established by Hayes in [16, Theorem A.9].
Corollary 5.5.
Let be a tracial -algebra. Let , . If , then
Proof.
By Proposition 3.32, there exist quantifier-free definable functions and such that and . If , then since . Similarly, maps into .
Since is a quantifier-free definable predicate, its value only depends on the quantifier-free type of the input, and thus whenever and . In particular, if , then . The same holds for . Hence, and define mutually inverse maps between and . Note also that is contained in for some by Remark 3.27. Therefore, by Proposition 4.7,
which implies the claimed result by Lemma 5.3. ∎
Furthermore, since the quantifier-free type does not depend on the ambient tracial -algebra , it follows that if and in different tracial -algebras generate isomorphic tracial -algebras, then their quantifier-free types have the same entropy. Hence, it is consistent to define for a separable tracial -algebra ,
where is an -tuple of generators for (for the definition of in the case of non-separable , see Remark 5.21 below). However, Remark 5.16 shows that there is no quantifier-free analog of monotonicity under pushforward (Proposition 4.7).
5.2 Existential types
Now we turn our attention to existential types.
Definition 5.6.
An existential formula in a language is a formula of the form
where is a quantifier-free formula and , …, are domains of quantification in the appropriate sorts. Similarly, we say that is an existential definable predicate relative to if
for , where is a quantifier-free definable predicate.
Observation 5.7.
Any existential definable predicate can be approximated uniformly on each product of domains of quantification by an existential formula.
Definition 5.8.
Let be an -structure, an -tuple of sorts, and . Let denote the space of existential formulas. The existential type is the map
If is an -theory, we denote the set of existential types that arise in models of by .
The topology for existential types, however, is not simply the weak- topology on for each tuple of domains. Rather, we define neighborhoods of a type using sets of the form . The idea is that if for some quantifier-free definable predicate , then means that there exists such that for any . Thus, a neighborhood corresponds to types where there exists that gets within of the infimum achieved by .
Definition 5.9.
Let be an -theory, an -tuple of sorts, and . We say that is open if for every , there exist existential formulas , …, and , …, such that
Moreover, we say that is open if is open in for all .
Observation 5.10.
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Any set of the form , where , …, are existential definable predicates, is open in .
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The same holds if is an existential definable predicate rather than existential formula, since it can be uniformly approximated by existential formulas on each product of domains of quantification, hence existential definable predicates may be used in Definition 5.9 without changing the definition.
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The inclusion is a topological embedding since each of the basic open sets in given by for , …, extends to an open set in .
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The restriction map is continuous.
Remark 5.11.
Like the Zariski topology on the space of ideals in a commutative ring, the topology on is often non-Hausdorff. For instance, the closure of a point is given by
Meanwhile, the intersection of all neighborhoods of is given by
(5.1) |
We say that extends if for all existential formulas , which is equivalent to saying that for , we have implies that (since is an existential formula if is). Then if and only if it does have any proper extension, or it is maximal. These closed points correspond to existential types from existentially closed models (see [15, §6.2]), and such maximal existential types in form a compact Hausdorff space. However, our present goal is to work with general tracial -algebras, not only those that are existentially closed.
5.3 Entropy for existential types
Here we define the entropy for existential types which corresponds to Hayes’ entropy of in the presence of . We explain our definition in this subsection, and in the next one we relate it with Hayes’ definition.
Definition 5.12.
For , let
and define for , , finite, and ,
Then let
Because of the non-Hausdorff nature of , we will be content to focus on the existential entropy for an individual existential type rather than for a closed set of existential types.
Lemma 5.13.
Let , and let be given by (5.1). Let be the canonical restriction map. Then
Proof.
Fix , finite, and . If is a neighborhood of in , then it contains , and hence is a neighborhood of in . Moreover, , hence
It remains to show the reverse inequality. Since the space of definable predicates on relative to is separable with respect to the uniform metric, so is the space of existential definable predicates. Let be a sequence of existential definable predicates that are dense in this space. Let
Note that
Moreover,
Therefore, by Lemma 5.2 applied to , we have
where the last equality follows from the density of . Thus, . Taking the supremum over , , and yields the first asserted equality . The second equality follows from the applying the variational principle (Proposition 4.6) to the closed set . ∎
Like the entropy for full types, the entropy for existential types satisfies a certain monotonicity under pushforwards. First, to clarify the meaning of pushforward, note that if is a quantifier-free definable function and is an existential definable predicate, say
where is a quantifier-free definable predicate, then
is also an existential definable predicate. Hence, there is a well-defined pushforward map given by . Furthermore, is continuous with respect to the topology on for the same reason that is an existential definable predicate whenever is an existential definable predicate and is a quantifier-free definable function.
The following lemma can be proved directly in a similar way to Proposition 4.7, as was essentially done by Hayes in [16]; compare also the proof of Proposition 5.23 below. However, as one of our main goals is to illuminate the model-theoretic nature of the existential entropy, we will give an argument to deduce this from Proposition 4.7.
Lemma 5.14.
Let and let be a quantifier-free definable function relative to . Then
Proof.
Let be the restriction map. Let
and similarly, let . By Lemma 5.13,
Meanwhile, by Proposition 4.7, Corollary 4.9, and Remark 3.27,
Therefore, it suffices to show that .
By continuity of the pushforward on the space of existential types, it follows that , and hence
To prove the reverse inclusion, fix . Fix such that and such that maps into for . For finite and , …, existential definable predicates, consider the definable predicate
Then is an existential definable predicate: Indeed, if , where is quantifier-free then
Since , it follows that
this last equality holds because if and , then since participates in the infimum defining .
Unwinding the definition of , we have shown that for every and finite and , …, existential definable predicates, there exist and and with and
Using an ultraproduct argument (or equivalently using the compactness theorem in continuous model theory, [3, Theorem 5.8], [4, Corollary 2.16]), there exists some and and such that and
This implies that , hence . Therefore, as desired. ∎
Corollary 5.15.
If and , and , then
In particular, if , then .
Remark 5.16.
The monotonicity property fails for the quantifier-free entropy. For instance, let be the von Neumann algebra of the free group and the hyperfinite factor. Then but (by the same reasoning as in Corollary 1.4). The proof of Lemma 5.19 breaks down because if is the restriction map, then in general. Given a with , in order to show the existence of some with , we would have to use an existential formula in .
Now come to the definition of existential entropy for , which we will show in §5.4 is equivalent to Hayes’ .
Definition 5.17.
Let be a tracial -algebra and a -subalgebra. Then define
The following is immediate from Corollary 5.15.
Corollary 5.18.
Let be a tracial -algebra and a -subalgebra. If generates , then .
Lemma 5.19.
Let be a tracial -algebras. Then
Proof.
The first inequality is immediate from Definition 5.17. For the second inequality, note that for every , for every existential formula , we have since the first is the infimum over a larger set than the second. In other words, is an extension of , and hence every neighborhood of is also a neighborhood of . This implies that . Since this holds for all , we obtain . ∎
Next, we show that the quantifier-free entropy can be expressed in terms of the existential entropy.
Lemma 5.20.
Let be a separable tracial -algebra. Then
Proof.
Suppose generates . Fix such that . Let be the restriction map. It suffices to show that for all , , and , which in turn will follow if we prove that every neighborhood of in contains for some neighborhood of in and vice versa.
Let be a neighborhood of . By the definition / properties of the weak- topology, there exist some quantifier-free definable predicates , …, and intervals such that
Then and are both existential definable predicates, hence
Conversely, let be a neighborhood of in . Then there exists existential definable predicates , …, and , …, such that
Suppose that
for all and , where is quantifier-free. Because , there exists with . By Proposition 3.32, there exists a quantifier-free definable function such that and maps into for all . Let
Then is quantifier-free. Thus,
and
as desired. ∎
Remark 5.21.
Therefore, it is natural to define for general (not necessarily separable ) by .
5.4 Existential entropy and entropy in the presence
Let us finally explain why the existential entropy defined here agrees with (the ultrafilter version of) Hayes’ -bounded entropy of in the presence of in [16]. The definition is given in terms of Voiculescu’s microstate spaces for some in the presence of from [33].
Definition 5.22 (Hayes [16]).
Let be a tracial -algebra. Let and be arbitrary index sets and let and . Let and such that and . Let be the set of quantifier-free types of tuples from equipped with the weak- topology. Let be the canonical coordinate projection. Then we define
where ranges over all neighborhoods of in .
Here we use arbitrary index sets and rather than because we do not assume that is separable. This is a technical issue we will have to consider when proving that our definition using -tuples agrees with Hayes.’ Apart from that, the idea of the proof is that a matrix tuple is in the projection if and only if there exists some such that . If being in can be detected by a quantifier-free formula being less than some (using Urysohn’s lemma), then being in can be detected by an existential formula.
Proposition 5.23.
In the setup of Definition 5.22, we have .
We remark at the start of the proof that all the facts we proved about definable predicates and functions work for arbitrary index sets, so long as they do not invoke metrizability of the type space. We also leave some details to the reader for the sake of space.
Proof.
We may assume without loss of generality that since restricting to a smaller -algebra does not change the quantifier-free type of .
First, let us show that . Let finite and . First, to deal with changing index sets from to , let be an injective function and let be the quantifier-free definable function that sends an -tuple to the -tuple obtained by putting into the th entry for and fills the other entries with zeros. Let , fix some with , and let be a neighborhood of in . Then there exist existential definable predicates , …, and , …, such that
There exist quantifier-free definable predicates , …, such that
Moreover, for our particular and , there exists such that
By Proposition 3.32, for some quantifier-free definable function . Let denote the quantifier-free definable predicate defined for -tuples by applying to the -tuple and to the -tuple and then applying . Then
is a neighborhood of in such that
Therefore,
Because for every such , there exists such an , we obtain that
Since and were arbitrary, we are done with the first inequality.
To prove the second inequality, we must show that for all , we have . Fix , let with , and write for some quantifier-free definable function depending on countably many coordinates of . Let be a neighborhood of . Note that contains a neighborhood of that depends only on finitely many coordinates of and . By Urysohn’s lemma and Remark 3.33, there exists a quantifier-free definable predicate with values in (depending on only finitely many coordinates) such that and
Fix finite and , and consider the existential formula
Because and only depend on countably many coordinates, the infima can be expressed using only countably many variables, so this expression is a valid existential definable predicate. Moreover, note that for , we have
Let . By applying the uniform continuity of (Lemma 3.19) for the given and in the target space, we obtain a corresponding and such that
Applying the definitions of the appropriate limits, suprema, and infima shows that . ∎
5.5 Applications to ultraproduct embeddings
Theorem 5.24.
Let be separable tracial -algebras, and let . Suppose that . Then for every , there exists an embedding such that .
Proof.
Let be an -tuple of generators for . Let be the restriction map. By Lemma 5.13,
so there exists a type such that and . By Lemma 4.14, there exists with . As in Corollary 4.15, there exists an embedding with . Observe that
where we apply in order Corollary 5.18, Lemma 5.13, Observation 4.12, and the choice of and .
It only remains to show that extends to an embedding of . Let be a set of generators. Let and be such that and . Since the quantifier-free type space for -tuples is metrizable, there exists a nonnegative continuous function on that equals zero at and only at the point . By Remark 3.33, this continuous function extends to a global quantifier-free definable predicate . Let be the existential predicate given by
for and . Thus, .
Remark 5.25.
Note that for any such embedding . Thus, the point of the theorem is that some can be chosen to make this inequality close to an equality. It is not obvious that there is an existential type in extending the with close to the same amount of entropy of . The key ingredient is the variational principle (Proposition 4.6) applied through Lemma 5.13, which gives us not only an existential type extending with large entropy, but even the full type with large entropy.
In particular, the theorem shows that if , then there exists an embedding of into with , and hence also .
6 Remarks on conditional entropy
In this section, we sketch how the previous results could be adapted to the setting of entropy relative to a -subalgebra. However, we will not give the arguments in detail because we will not be giving any new applications of the conditional version of entropy. Our goal is mainly to complete our translation between the different flavors of microstate spaces in free entropy theory and the different flavors of types in the conditional setting.
Hayes’ original definition of -bounded entropy used microstate spaces relative to a fixed microstate sequence for some self-adjoint element with diffuse spectrum. He then showed that this was equivalent to the -bounded entropy defined through unitary orbits (the definition that we have used so far in this paper). As remarked in [17, §4.1], the same reasoning shows that orbital -bounded entropy is equivalent to -bounded entropy relative to fixed microstates for any diffuse amenable -subalgebra of . In fact, one can formulate the definition of -bounded entropy of relative to any -subalgebra with a fixed choice of microstates with . Unlike the case where is amenable, the -bounded entropy relative to may, as far as we know, depend on the choice of microstates for , and in general it will not coincide with the orbital -bounded entropy. Nonetheless, relative -bounded entropy for general has a natural motivation in terms of ultraproduct embeddings: Fixing and an embedding , a relative -bounded entropy would quantify the amount of embeddings of that extend and which admit some extension .
Just as we have interpreted the entropy in the presence as corresponding to existential types in the model-theoretic framework, relative entropy naturally corresponds to types over . Types over represent types in a language described as follows. Let be a separable tracial -algebra. Let be the language obtained by adding to a constant symbol for each .
Let be the theory obtained from by adding the (infinite family of) axioms
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•
for each .
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for and .
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for .
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for .
-
•
.
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•
where is the given trace on the tracial -algebra .
We leave it as an exercise to the reader to verify that every model of is given by a tracial -algebra together with an embedding (unital, trace-preserving -homomorphism) , and conversely every such embedding defines a model of . Given a tracial -algebra and an inclusion , the -type of a tuple is also known as the type of over and denoted .
Next, we want to define versions of entropy for quantifier-free, full, and existential types over , using covering numbers for microstate spaces corresponding to neighborhoods of the type over . Unfortunately, we cannot use neighborhoods in the space of -types because the matrix algebra could never be a model of since it cannot contain a copy of unless is finite-dimensional. In other words, the issue is that we must work with approximate embeddings rather than literal embeddings, since the latter may not exist. Thus, we will look at structures that satisfy but not necessarily , which are tracial von Neumann algebras together with a function that is not necessarily is a -homomorphism or even linear but does satisfy for . We will denote by the set of -types that arise from models of , so that .
Given a sequence of functions and , we define the microstate space
where is the type of in the structure given by and . We are interested only in the case when defines a trace-preserving -homomorphism . Then for a closed set , we define
where the infimum is over all open neighborhoods of in , and then let be the supremum over , , and .
As the notation above suggests, it turns out that this quantity only depends on the embedding , not on the particular lift . To see this, suppose is another such lift, so that for every we have as . Using Urysohn’s lemma, taking a smaller neighborhood if necessary, we can assume the neighborhood is given by for some nonnegative formula in . Then can be equivalently viewed as an formula in the variables together with additional variables corresponding to the elements of . By uniform continuity of the formulas, for in a small enough neighborhood of . Thus, if the neighborhood is given by , we get . The argument is finished by taking the appropriate infima over and limits.111For the analog of this argument in the existential case, we would work only with the case when for a single existential -type. The only issue adapting the above argument to the existential case is in finding, for a given a neighborhood of , a sub-neighborhood of the form for an existential formula . Since the space of existential types is not Hausdorff, we cannot apply Urysohn’s lemma, but rather must work with the existential formulas directly to construct such a neighborhood.
We remark that the approximate embedding can be thought of as a choice of microstates for every element of . But, as in Hayes original description of relative -bounded entropy, we could instead fix a generating set for , fix microstates for that generating set, and define microstate spaces of matrix tuples such that the -type of is in a certain neighborhood of the set . It is a technical exercise to show that these definitions are equivalent, the key point being that every element of can be expressed as a quantifier-free definable function of the generating tuple .
Most of the properties we showed for adapt to the relative version with the same method of proof. For instance, it satisfies the analog of the variational principle (Proposition 4.6) and monotonicity under pushforward (4.7). Thus, given and an embedding , we can define as the supremum of for tuples from . Analogously to Lemma 4.14, if , then there is an embedding of into that restricts to on and extends to an elementary embedding of . The quantifier-free and existential version of conditional entropy are defined in a similar way, and the relationship between them works the same way as it does for the unconditional version.
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