
TL;DR
This paper extends classical probability results to topological and deficient topological measures, establishing weak convergence criteria, metrics, and generalizations despite their non-linear and non-subadditive nature.
Contribution
It proves versions of Aleksandrov's and Prokhorov's theorems for these measures, introducing metrics and exploring their convergence properties in topological spaces.
Findings
Weak convergence of deficient topological measures is characterized.
Prokhorov and Kantorovich-Rubenstein metrics induce weak convergence.
Many classical probability results extend to non-linear, non-subadditive measures.
Abstract
Topological measures and deficient topological measures are defined on open and closed subsets of a topological space, generalize regular Borel measures, and correspond to (non-linear in general) functionals that are linear on singly generated subalgebras or singly generated cones of functions. They lack subadditivity, and many standard techniques of measure theory and functional analysis do not apply to them. Nevertheless, we show that many classical results of probability theory hold for topological and deficient topological measures. In particular, we prove a version of Aleksandrov's Theorem for equivalent definitions of weak convergence of deficient topological measures. We also prove a version of Prokhorov's Theorem which relates the existence of a weakly convergent subsequence in any sequence in a family of topological measures to the characteristics of being a uniformly bounded…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Weak convergence of topological measures
S. V. Butler, University of California, Santa Barbara
(Date: May 20, 2020)
Abstract.
Topological measures and deficient topological measures are defined on open and closed subsets of a topological space, generalize regular Borel measures, and correspond to (non-linear in general) functionals that are linear on singly generated subalgebras or singly generated cones of functions. They lack subadditivity, and many standard techniques of measure theory and functional analysis do not apply to them. Nevertheless, we show that many classical results of probability theory hold for topological and deficient topological measures. In particular, we prove a version of Aleksandrov’s Theorem for equivalent definitions of weak convergence of deficient topological measures. We also prove a version of Prokhorov’s Theorem which relates the existence of a weakly convergent subsequence in any sequence in a family of topological measures to the characteristics of being a uniformly bounded in variation and uniformly tight family. We define Prokhorov and Kantorovich-Rubenstein metrics and show that convergence in either of them implies weak convergence of (deficient) topological measures on metric spaces. We also generalize many known results about various dense and nowhere dense subsets of deficient topological measures. The present paper constitutes a first step to further research in probability theory and its applications in the context of topological measures and corresponding non-linear functionals.
Key words and phrases:
weak convergence, topological measure, deficient topological measure, Aleksandrov’s Theorem, Prokhorov’s theorem, Prokhorov and Kantorovich-Rubenstein metrics, dense subset, nowhere dense subset
2010 Mathematics Subject Classification:
60B10, 60B05, 28A33, 28C15
1. Introduction
The origins of the theory of quasi-linear functionals and topological measures lie in mathematical axiomatization and interpretations of quantum physics ([41], [31], [32], [27]). In J. von Neumann’s axiomatization of quantum mechanics, physical observables can be represented by the space of Hermitian operators on a complex Hilbert space. The state of a physical system is represented by a positive normalized linear functional on . Some physicists, however, argued that the linearity of the functional, , makes sense if observables and are simultaneously measurable, which means that are polynomials of the same , so belong to the subalgebra of generated by . Mathematical interpretations of quantum physics by G. W. Mackey and R. V. Kadison led to very interesting mathematical problems, including the extension problem for probability measures in von Neumann algebras. This extension problem may be regarded as a special case of the linearity problem for physical states, which is closely related to the existence of quasi-linear functionals. J. F. Aarnes [3] introduced quasi-linear functionals (that are not linear) on for a compact Hausdorff space and corresponding set functions, generalizing measures (initially called quasi-measures, now topological measures). He connected the two by establishing a representation theorem. Aarnes’s quasi-linear functionals are functionals that are linear on singly generated subalgebras, but (in general) not linear. For more information about physical interpretation of quasi-linear functionals see [22], [23], [24], [35], [1], [2], [3].
M. Entov and L. Polterovich first linked the theory of quasi-linear functionals to symplectic topology. They introduced symplectic quasi-states and partial symplectic quasi-states ([22]), which are subclasses of quasi-linear functionals. (On a symplectic manifold that is a closed oriented surface every normalized quasi-linear functional is a symplectic quasi-state, see [35, Chapter 5]). Article [22] was followed by numerous papers and a monograph [35], and many authors have investigated and used various aspects of symplectic quasi-states and topological measures: their properties, their connection to spectral numbers and homogeneous quasi-morphisms, ways of constructing and approximating symplectic quasi-states, etc. Symplectic quasi-states can be used as a measurement of Poisson commutativity, and topological measures can be used to distinguish Lagrangian knots that have identical classical invariants ([22, Chapters 4,6]). Symplectic quasi-states and topological measures play an important role in function theory on symplectic manifolds.
Deficient topological measures are generalizations of topological measures. They were first defined and used by A. Rustad and O. Johansen ([26]) and later independently reintroduced and further developed by M. Svistula ([38], [39]). Deficient topological measures are not only interesting by themselves, but also provide an essential framework for studying topological measures and quasi-linear functionals. Topological measures and deficient topological measures generalize regular Borel measures and correspond to functionals that are linear on singly generated subalgebras or singly generated cones of functions. These non-linear functionals can be described in several ways, including symmetric and asymmetric Choquet integrals, see [19, pp. 62, 87] and [14, Corollary 8.5, Theorem 8.7, Remark 8.11]. Deficient topological measures are not supermodular, and their domains are not closed under intersection and union; for these and other reasons, results of Choquet theory do not automatically translate for functionals representing deficient topological measures. It is interesting that, with different proof methods, one may obtain results that are typical for, stronger than, or strikingly different from Choquet theory results.
Topological measures and deficient topological measures are defined on open and closed subsets of a topological space, which means that there is no algebraic structure on the domain. They lack subadditivity and other properties typical for measures, and many standard techniques of measure theory and functional analysis do not apply to them. Nevertheless, we show that many classical results of probability theory hold for topological and deficient topological measures. In particular, we prove versions of Aleksandrov’s Theorem for equivalent definitions of weak convergence of topological and deficient topological measures. We also prove a version of Prokhorov’s Theorem which relates the existence of a weakly convergent subsequence in any sequence in a family of topological measures to the characteristics of being a uniformly bounded in variation and uniformly tight family. We define Prokhorov and Kantorovich-Rubenstein metrics and show that convergence in either of them implies weak convergence of deficient topological measures. We also generalize many known results about various dense and nowhere dense subsets of deficient topological measures.
The present paper constitutes a first step to further research in probability theory and its applications in the context of topological measures and corresponding non-linear functionals.
In this paper is a locally compact space Hausdorff space. By we denote the set of all real-valued continuous functions on with the uniform norm, by the set of continuous functions on vanishing at infinity, by the set of continuous functions with compact support, and by the collection of all nonnegative functions from .
When we consider maps into extended real numbers we assume that any such map is not identically .
We denote by the closure of a set , and by a union of disjoint sets. A set is called bounded if is compact. We denote by the identity function , and by the characteristic function of a set . By we mean . We say that is dense in if .
Several collections of sets are used often. They include: ; ; and – the collection of open subsets of ; the collection of closed subsets of ; and the collection of compact subsets of , respectively.
Definition 1**.**
Let be a topological space and be a set function on a family of subsets of that contains with values in . We say that
- •
is compact-finite if for any ;
- •
is simple if it only assumes values [math] and ;
- •
is finite if ;
- •
is inner regular (or inner compact regular) if for ;
- •
is inner closed regular if for ;
- •
is outer regular if for .
Definition 2**.**
A measure on is a countably additive set function on a -algebra of subsets of with values in . A Borel measure on is a measure on the Borel -algebra on . A Radon measure on is a compact-finite Borel measure that is outer regular on all Borel sets, and inner regular on all open sets, i.e. for every compact , for every Borel set , and for every open set . For a Borel measure that is inner regular on all open sets (in particular, for a Radon measure) we define , the support of , to be the complement of the largest open set such that .
For the following fact see, for example, [21, Chapter XI, 6.2] and [13, Lemma 7].
Lemma 3**.**
Let in a locally compact space . Then there exists a set such that is compact and If is also locally connected, and either or is connected, then and can be chosen to be connected.
Definition 4**.**
A deficient topological measure on a locally compact space is a set function which is finitely additive on compact sets, inner compact regular, and outer regular, i.e. :
- (DTM1)
if then ; 2. (DTM2)
for ; 3. (DTM3)
for .
Clearly, for a closed set , iff for every open set containing . If two deficient topological measures agree on compact sets (or on open sets) then they coincide.
Definition 5**.**
A topological measure on is a set function satisfying the following conditions:
- (TM1)
if then 2. (TM2)
for ; 3. (TM3)
for .
By and we denote, respectively, the collections of all finite deficient topological measures and all finite topological measures on .
The following two theorems from [16, Section 4] give criteria for a deficient topological measure to be a topological measure or a measure.
Theorem 6**.**
Let be compact, and a deficient topological measure. The following are equivalent:
- (a)
* is a real-valued topological measure;* 2. (b)
** 3. (c)
**
Let be locally compact, and a deficient topological measure. The following are equivalent:
- (a)
* is a topological measure;* 2. (b)
** 3. (c)
**
Theorem 7**.**
Let be a deficient topological measure on a locally compact space . The following are equivalent:
- (a)
If are compact subsets of , then .
- (b)
If are open subsets of , then .
- (c)
* admits a unique extension to an inner regular on open sets, outer regular Borel measure on the Borel -algebra of subsets of . is a Radon measure iff is compact-finite. If is finite then is an outer regular and inner closed regular Borel measure.*
Remark 8**.**
Let be locally compact, and let be the collection of all Borel measures on that are inner regular on open sets and outer regular on all Borel sets. Thus, includes regular Borel measures and Radon measures. We denote by the restrictions to of measures from , and by the set of all finite measures from . We have:
[TABLE]
The inclusions follow from the definitions. When is compact, there are examples of topological measures that are not measures and of deficient topological measures that are not topological measures in numerous papers, beginning with [3], [26], and [38]. When is locally compact, see [12], Sections 5 and 6 in [16], and Section 9 in [13] for more information on proper inclusion in (1), criteria for a deficient topological measure to be a measure from , and various examples.
Remark 9**.**
In [16, Section 3] we show that a deficient topological measure is -smooth on compact sets (i.e. if a net , where then ), and also -smooth on open sets (i.e. if a net , where then ). In particular, a deficient topological measure is additive on open sets. A deficient topological measure is also superadditive, i.e. if where , and at most one of the closed sets (if there are any) is not compact, then . If and are disjoint, then . One may consult [16] for more properties of deficient topological measures on locally compact spaces.
Definition 10**.**
For a deficient topological measure we define .
Definition 11**.**
We call a functional on with values in (assuming at most one of ) and a p-conic quasi-linear functional if
- (p1)
If then . 2. (p2)
If then . 3. (p3)
For each , if then . Here , (with if is non-compact) is a cone generated by .
For a functional on we consider and we say is bounded if . Let be the set of all bounded p-conic quasi-linear functionals on .
A real-valued map on is a quasi-linear functional (or a positive quasi-linear functional) if
- (QI1)
2. (QI2)
for 3. (QI3)
For each , if , then . Here (with if is non-compact) is a subalgebra generated by .
Remark 12**.**
There is an order-preserving bijection between and . See [14, Section 8]. In particular, there is an order-preserving isomorphism between finite topological measures on and quasi-linear functionals on of finite norm, and is a measure iff the corresponding functional is linear (see [14, Theorem 8.7], [36, Theorem 3.9], and [39, Theorem 15]). We outline the correspondence.
- (I)
Given a finite deficient topological measure on a locally compact space and , define functions on :
[TABLE]
[TABLE]
Let be the Lebesque-Stieltjes measure associated with , a regular Borel measure on . The . We define a functional on (in particular, a functional on ):
[TABLE]
where is any interval containing . If we have:
[TABLE]
We call the functional a quasi-integral (with respect to a deficient topological measure ) and write:
[TABLE] 2. (II)
Functional is non-linear. By [14, Lemma 7.7, Theorem 7.10, Lemma 3.6, Lemma 7.12] we have:
- (a)
is positive-homogeneous, i.e. for and . 2. (b)
. 3. (c)
is monotone, i.e. if then for . 4. (d)
for . 5. (e)
If , where then for ;
if , where or , then for . 3. (III)
A functional with values in (assuming at most one of ) and is called a d-functional if on nonnegative functions it is positive-homogeneous, monotone, and orthogonally additive, i.e. for (the domain of ) we have: (d1) ; (d2) ; (d3) .
Let be a d-functional with . In particular, we may take functional on . The corresponding deficient topological measure is given as follows:
If is open,
if is closed, .
If is compact, (See [14, Section 5].)
If given a finite deficient topological measure , we obtain , and then , then .
Remark 13**.**
Integrals with respect to (deficient) topological measures on a locally compact space have Lipschitz property: If is a finite deficient topological measure, where is compact, then
[TABLE]
If is a finite topological measure, then
[TABLE]
See [14, Lemma 7.12] and [16, Corollary 53].
We would like to give some examples.
Definition 14**.**
A set is bounded if is compact. If is locally compact, non-compact, a set is solid if is connected, and has only unbounded connected components. If is compact, a set is solid if and are connected.
Many examples of topological measures that are not measures are obtained in the following way. Define a so-called solid-set function on bounded open solid and compact solid sets in a locally compact, connected, locally connected, Hausdorff space. A solid set function extends to a unique topological measure. See [5, Definition 2.3, Theorem 5.1], [13, Definition 39, Theorem 48].
Example 15**.**
Suppose that is the Lebesgue measure on , and the set consists of two points and . For each bounded open solid or compact solid set let if , if contains one point from , and if contains both points from . Then is a solid-set function (see [13, Example 61]), and extends to a unique topological measure on . Let be the closed ball of radius centered at for . Then and are compact solid sets, . Since is not subadditive, it can not be a measure. The quasi-linear functional corresponding to is not linear.
Example 16**.**
Let or a square, be a natural number, and let be a set of distinct points. For each bounded open solid or compact solid set let if contains or points from . The set function defined in this way is a solid-set function, and it extends to a unique topological measure on that assumes values . See [4, Example 2.1], [11, Examples 4.14, 4.15], and [13, Example 65]. The resulting topological measure is not a measure. For instance, when is the square and , it is easy to represent , where each is a compact solid set containing one point from . Then for , while . Since is not subbadditive, it is not a measure, and the quasi-linear functional corresponding to is not linear. In [15, Example 56] we take and show that there are such that . If is locally compact, non-compact, for the functional we consider a new functional defined by , where . The new functional corresponds to a deficient topological measure obtained by integrating over closed and open sets with respect to a topological measure . We can choose or so that is no longer linear on singly generated subalgebras, but only linear on singly generated cones. See [18, Example 32, Theorem 40] for details.
Example 17**.**
Let be locally compact, and let be a connected compact subset of . Define a set function on by setting if and otherwise, for any . If has more than one element, then is a deficient topological measure, but not a topological measure. See [16, Example 46] and [39, Example 1, p.729] for details.
For more examples of topological measures and quasi-integrals on locally compact spaces see [12] and the last sections of [13] and [15]. For more examples of deficient topological measures see [16] and [39].
2. Aleksandrov’s Theorem for deficient topological measures
Definition 18**.**
The weak topology on is the coarsest (weakest) topology for which maps are continuous.
The basic neighborhoods for the weak topology have the form
[TABLE]
Let be a net in , . The net converges weakly to (and we write ) iff for every , i.e. for every .
By [14, Theorem 8.7], with weak convergence is homeomorphic to with pointwise convergence, and is homeomorphic to the space of quasi-linear functionals with pointwise convergence.
Remark 19**.**
Our definition of weak convergence corresponds to one used in probability theory. It is the same as a functional analytical definition of convergence on (respectively, on ), which is justified by the fact that this topology agrees with the weak∗ topology induced by p-conic quasi-linear functionals (respectively, quasi-linear functionals). In many papers the term ”-topology” is used.
Definition 20**.**
Let be a deficient topological measure. A set is called a -continuity set if .
Remark 21**.**
In probability theory, with a measure, a set is called a -continuity set if . If is a measure (or is a topological measure and is compact) this definition is equivalent to Definition 20. If is a deficient topological measure, then by superadditivity , so for any -continuity set we have .
We have the following generalizations of Aleksandrov’s well-known theorem for weak convergence of measures. (Aleksandrov’s Theorem is often incorrectly called the ”Portmanteau theorem”, a usage apparently deliberately started by Billingsley, who in [7] cited a paper of the non-existent mathematician Jean-Pierre Portmanteau, ”published” in a non-existent issue of the Annals of non-existent university; see [34, p.130] and [37, p.313].) This theorem gives equivalent definitions of weak convergence.
Theorem 22**.**
Let be locally compact, and let be deficient topological measures. The following are equivalent:
- (1)
* ( i.e. ) for every . * 2. (2)
* for any and for any .* 3. (3)
* for any compact or open bounded -continuity set .* 4. (4)
If then and for each point at which is continuous.
Proof.
(1) (2). Let . By part (III) of Remark 12 choose such that and Choose such that and for all . Then
[TABLE]
and it is easy to see that and .
(2) (3). We have: If is an -continuity set (whether is compact or open bounded), we then see that .
(3) (4). If is a point of continuity of then from [14, Lemma 6.3 (III)] it follows that the sets and are -continuity sets. The statement follows from (3).
(4) (1). By [14, Lemma 6.3] has at most countably many points of discontinuity; the statement follows from formulas (2) and (4). ∎
If are finite topological measures on a compact space , and , then from part (TM1) of Definition 5 it follows that for any iff for any . Therefore, we have the following version of Aleksandrov’s Theorem:
Theorem 23**.**
Let be compact, and let be finite topological measures. TFAE:
- (1)
* ( i.e. ) for every . * 2. (2)
* for any and .* 3. (3)
* for any and .* 4. (4)
* for any -continuity set .* 5. (5)
If then and for each point at which is continuous.
Theorem 24**.**
The weak topology on is given by basic neighborhoods of the form
[TABLE]
where .
Proof.
The weak topology is the topology given by basic neighborhoods of the form (3). It is easy to see that the sets are basic neighborhoods for some topology on . Consider a basic neighborhood . Given , by part (III) of Remark 12 choose such that and
[TABLE]
Let as in (3). We have:
[TABLE]
[TABLE]
Therefore, . We see that , i.e. is a coarser topology than . If in the topology then it is easy to see that for any open set , and that for any compact set . By Theorem 22 for every . The weak topology is the coarsest topology with this property, thus, . ∎
Theorem 25**.**
The space is Hausdorff and locally convex. Every set of the form is compact. If is compact then is locally compact.
Proof.
First we shall show that is Hausdorff. Suppose , then there is such that . Let . By part (III) of Remark 12 find such that . Let , so . Then and as in formula (3) are disjoint neighborhoods of and : otherwise, if then , which is a contradiction.
One can also see that is Hausdorff because a homeomorphic space is Hausdorff. The basic open set in is of the form . If and are in , then their convex combination is also in . Thus, is locally convex.
Let and . Consider the product space
[TABLE]
and the function defined by . The function is continuous , since each of the maps is continuous. is which follows from Remark 12. Also is a homeomorphism, because implies . To show that is compact it is enough to show that is closed in . Let in . Define . Then is a p-conic quasi-linear functional, and by Remark 12 there exists a finite deficient topological measure such that . Then , i.e. .
If is compact, then for and we have: , and the last set is compact. ∎
3. Prokhorov’s Theorem for topological measures
In this section we show that several classical results of probability theory hold for deficient topological measures or topological measures.
Lemma 26**.**
If each sequence of , where are deficient topological measures, contains a further subsequence such that converges weakly to a deficient topological measure , then converges weakly to .
Proof.
If does not converge weakly to , then there is such that for some and all in some subsequence. But then no subsequence of can converge weakly to . ∎
We clearly have
Lemma 27**.**
* is homeomorphic to the (topological) subset of (equipped with the weak topology).*
Theorem 28**.**
Let . Then can be metrized as a separable metric space iff is a separable metric space.
Proof.
Suppose is a separable metric space. By Urysohn’s metrization theorem (see [29, p.125]) can be topologically embedded in a countable product of unit intervals. Consequently, there exists an equivalent totally bounded metrization on . We will consider this metric on . From [33, Lemma 6.3] is separable. Let be a countable dense subset of .
Let be a countable product of . Define a map as in Theorem 25, i.e. . We will show that is a homeomorphism on . First, is . (If then for all , and, hence, for all . By Remark 12, .) Second, and are continuous, as in the proof of Theorem 25. Since is a separable metric space, and is homeomorphic to a subset of , it follows that is a separable metric space.
Conversely, suppose is a separable metric space. By Lemma 27 is homeomorphic to . is a separable metric space, and then so is . ∎
Definition 29**.**
Let be locally compact. A family is uniformly tight if for every there exists a compact set such that for each . A family is uniformly bounded in variation if there is a positive constant such that for each .
One uniformly bounded in variation family that is the often used is the collection of all normalized (i.e. satisfying condition ) topological measures on a compact space.
Proposition 30**.**
Suppose is locally compact. If a sequence is weakly fundamental (i.e. is a fundamental sequence for each ) then it is uniformly bounded in variation.
Proof.
If not, then there is a subsequence such that for each ; and by part (III) of Remark 12 there are functions such that . Then the function , and for each . This contradicts the fact that the sequence is Cauchy, hence, bounded. ∎
Theorem 31**.**
Suppose is a family of finite deficient topological measures such that every sequence in contains a weakly convergent subsequence. Then is uniformly bounded in variation.
Proof.
If not, then there is a sequence such that for every natural . Let be its weakly convergent subsequence. Then , while by Proposition 30 this subsequence must be uniformly bounded in variation. ∎
Theorem 32**.**
Suppose is locally compact. Suppose is a family of finite topological measures such that every sequence in contains a weakly convergent subsequence. Then is uniformly tight.
Proof.
Suppose is not uniformly tight. Then there exists such that for every compact one can find with
[TABLE]
Take to be any topological measure with , and let be such that . Then by Lemma 3 there is with compact closure such that and so . By (4) find satisfying , and let be such that and . Find with compact closure such that , so . Find a topological measure with , and so on. By induction we find a sequence of compact sets , a sequence of open sets with compact closure, and a sequence of topological measures with the following properties: , are pairwise disjoint, and
[TABLE]
By part (III) of Remark 12 find functions with . By our assumption the sequence contains a weakly convergent subsequence. For notational simplicity, assume that is weakly convergent.
By Lemma 31 we may assume that is uniformly bounded in variation by . We let
[TABLE]
Then belongs to , because for each , , and so by part (III) of Remark 12 each partial sum . With
[TABLE]
the sequence is bounded, and we may chose a convergent subsequence. To simplify notations, we assume that itself converges.
Let . Since we see that the sequence of inner products is bounded, hence, contains a convergent subsequence. Again, for notational simplicity we assume the sequence itself converges.
By [9, Lemma 1.3.7] the sequence converges in norm. Then , which contradicts our choice of . ∎
Lemma 33**.**
Let be locally compact. If is a weakly fundamental sequence of finite deficient topological measures which is also uniformly bounded in variation, then converges weakly to some finite deficient topological measure .
Proof.
Consider functional on defined as . It is easy to check that is a p-conic quasi-linear functional. Say, is uniformly bounded in variation by . Since for any , we see that , and by Remark 12 there is a finite deficient topological measure such that . ∎
Theorem 34**.**
Suppose is a locally compact space such that is separable. Then every uniformly bonded in variation sequence of finite topological measures has a subsequence which is weakly fundamental.
Proof.
Suppose and for each . Let , so for some . Each of the functions is monotone and bounded above by on . By the Helly-Bray theorem (see [9, Theorem 1.4.6]), there is pointwise convergent subsequence . Then the sequence of integrals converges, hence, is fundamental.
If is a countable dense set in , we pick a first subsequence of such that is fundamental for the first function , then we choose a further subsequence for which is fundamental for the function , and so on. By diagonal process we obtain a subsequence of for which the sequence of integrals is fundamental for each . For notational simplicity, let us assume that is such a subsequence, i.e. is fundamental for each function .
For arbitrary and choose such that and such that for . Then using [15, Corollary 53] we have:
[TABLE]
and the sequence of integrals is fundamental. Thus, is weakly fundamental. ∎
Remark 35**.**
If is a locally compact Hausdorff space which is second countable or satisfies any of the other equivalent conditions of [28, Theorem 5.3, p.29], then , the Aleksandrov one-point compactification of , is a compact metrizable (hence, a second countable) space. Then is separable, and is also separable as as a subspace of a separable metric space.
For topological measures we have the following version of Prokhorov’s well-known theorem.
Theorem 36**.**
Suppose is a locally compact space such that is separable. Suppose is a family of finite topological measures on . The the following are equivalent:
- (1)
If every sequence from contains a weakly convergent subsequence then is uniformly tight and uniformly bounded in variation. 2. (2)
If is uniformly bounded in variation then every sequence from contains a weakly convergent subsequence.
Proof.
(1) follows from Theorem 31 and Theorem 32. (2) follows from Theorem 34 and Lemma 33. ∎
4. Prokhorov and Kantorovich-Rubenstein metrics
It is clear that is a metric on , and the topology induced by this metric is the weak topology.
For the rest of this section let be a locally compact metric space. We shall consider two other metrics on .
Let for , and for all . Each is an open set. Consider the Prokhorov metric on :
[TABLE]
Taking we see that is well defined.
Note that if and are Borel measures and is a Borel set, then we obtain the usual definition of Prokhorov’s metric (sometimes also called Lévy-Prokhorov metric).
Lemma 37**.**
* is a metric on .*
Proof.
It is clear that and . For any we have for all , so . Suppose .Then there is such that and for all . For and choose such that and . There exists such that . Then for
[TABLE]
It follows that , and, similarly, . Then on , so .
Now we shall show the triangle inequality. Suppose that for all
[TABLE]
[TABLE]
Since and , we have:
[TABLE]
and, similarly, . Thus, . It follows that . ∎
Theorem 38**.**
Let be a locally compact metric space. Suppose for a net ; . Then .
Proof.
Suppose .
Let and . Choose such that and . There exists such that for all . For let be such that for each . Then for each there exists such that . Then
[TABLE]
It follows that .
Now let and . Choose such that and . Let and be as above. Then for each there exists such that . Then
[TABLE]
It follows that .
By Theorem 22 . ∎
Let family be uniformly bounded in variation. We consider the Kantorovich-Rubinstein metric on .
[TABLE]
where .
Remark 39**.**
Our definition is related to the definition of the Kantorovich-Rubinstein metric for Borel measures, which is obtained from the Kantorovich-Rubinstein norm
[TABLE]
This metric is sometimes is also called the Wasserstein metric , although there is no author with this name. See [8, pp. 453-454, Comments to Ch.8] for a good note on the history and use of this metric.
Our use of in (5) is dictated, on one hand, by relation to Kantorovich-Rubinstein metric for Borel measures and, on the other hand, by the role of in the theory of (p-conic) quasi-linear functionals. Note that by [6, Theorem 2] Lipschitz functions with compact support are dense in .
Lemma 40**.**
* is a metric on a uniformly bounded in variation family .*
Proof.
We shall show that implies ; the remaining properties are obvious. Let be such that for each . Take . Given , choose a Lipschitz function with compact support so that . Since , we see that . Using also Remark 13 we have:
[TABLE]
Thus, for every . By Remark 12 . ∎
Theorem 41**.**
Let be a locally compact metric space. In either of the following situations:
- (1)
a family is uniformly bounded in variation; 2. (2)
given , a family is the family of deficient topological measures corresponding to functionals on with ;
if a net , , and , then .
Proof.
- (1)
Let . Given , choose a Lipschitz function with compact support so that . Since, say, for all . Then for all using Remark 13 we have:
[TABLE]
so . It follows that . 2. (2)
If a deficient topological measure corresponds to then . Thus, the family is uniformly bounded in variation, and we may use the same argument as in previous part.
∎
Theorem 42**.**
Let be a compact metric space. Given , let . Then the topology on induced by the metric is the weak topology.
Proof.
By Theorem 41 if a net converges to in the metric then it also converges to weakly. For and a slightly different metric the result was first shown in [20, Proposition 1.10], and our proof of Theorem 41 follows the argument in that paper. Because of Remark 13 and the fact that the family of functions in (5) is compact by the Arzela-Ascoli theorem, one can basically repeat an argument from [20, Proposition 1.10] to show that the weak convergence of to implies convergence in the metric . ∎
5. Density theorems
Definition 43**.**
A deficient topological measure is called proper if from , where is a Radon measure it follows that .
Remark 44**.**
From [17, Theorem 4.3] it follows that a finite deficient topological measure can be written as a sum of a finite Radon measure and a proper finite deficient topological measure. The sum of two proper deficient topological measures is proper (see [17, Theorem 4.5]).
A finite Radon measure on a compact space is a regular Borel measure, so our definition (which is given in [17]) of a proper deficient topological measure coincides with definitions in papers prior to [17].
In what follows, and denote, respectively, the family of proper finite deficient topological measures and the family of finite topological measures.
Let be a locally compact non-compact space. A set is called solid if is connected, and has only unbounded connected components. When is compact, a set is called solid if it and its complement are both connected. For a compact space we define a certain topological characteristic, genus. See [5] for more information about genus of the space. A compact space has genus 0 iff any finite union of disjoint closed solid sets has a connected complement. Intuitively, does not have holes or loops. In the case where is locally path connected, if the fundamental group is finite (in particular, if is simply connected). Knudsen [30] was able to show that if then , and in the case of CW-complexes the converse also holds.
Remark 45**.**
From Theorem 6 it is easy to see that if are deficient topological measures, and is not a topological measure, then is a deficient topological measure which is not a topological measure.
Theorem 46**.**
- (1)
(Proper simple deficient topological measures that are not topological measures are dense in the set of all point-masses) (* is dense in ) ( is dense in ) ( is dense in ) ( is dense in ).* 2. (2)
(Proper simple are dense in the set of all point-masses) (* is dense in ) ( is dense in ) ( is dense in ).*
Proof.
We shall prove the first part; the proof of the second part is similar, but simpler.
- (A)
We shall show the first implication. Any measure is approximated by convex combinations of point-masses, so by assumption, it is approximated by convex combinations of proper simple deficient topological measures that are not topological measures. By Remark 44 and Remark 45 the latter combinations are in . 2. (B)
( is dense in ) ( is dense in ): Suppose . By Remark 44 write , where is a proper deficient topological measure, and is a measure from . By assumption, is approximated by . Then is approximated by , where by Remark 44 and Remark 45 is in . 3. (C)
( is dense in ) ( is dense in ): Suppose to the contrary that there exists a measure and its neighborhood which contains no elements of . Take . Then for any deficient topological measure we see that is a deficient topological measure that is not a topological measure and is not proper. Thus, a neighborhood contains no elements of , which contradicts the assumption. 4. (D)
( is dense in ) ( is dense in ): Let . If then the statement follows from the assumption, and if then the statement is obvious. 5. (E)
( is dense in ) ( is dense in ): obvious. 6. (F)
( is dense in ) ( is dense in ): follows from Remark 44 and Remark 45 in a manner similar to the one in part (B).
∎
Theorem 47**.**
Suppose any open set in a locally compact space contains a compact connected subset that is not a singleton. Then is dense in .
Proof.
If we shall show that proper simple are dense in the set of point-masses, then the statement will follow from Theorem 46. Let be a point-mass at . Let be ordered by reverse inclusion. For each , let be the non-singleton connected compact set. Consider defined on as follows: if and otherwise. By [16, Example 46] is simple and . If and , then and for all we have , so . Then . If and , then and we may find such that . Then for each we have and . Then . By Theorem 22 the net converges weakly to . ∎
Remark 48**.**
Among spaces that satisfy the condition of the previous theorem are: non-singleton locally compact spaces that are locally connected or weakly locally connected; manifolds; CW complexes.
Theorem 49**.**
Suppose is a non-singleton connected, locally connected, locally compact space with no cut points and such that the Aleksandrov one-point compactification of has genus [math]. Then is dense in , and is dense in .
Proof.
We shall give the proof for the case when is not compact. (When is compact the proof is similar but simpler; also, one may use [40, Theorem 4.9].) We shall show that proper simple topological measures are dense in the set of simple measures, and the statements will follow from part (2) of Theorem 46.
Let be a point-mass. It is enough to show that a neighborhood of the form as in Theorem 24 contains a simple proper topological measure.
Suppose first . We may assume that . Since , by Lemma 3 there is a bounded open connected set and a compact connected set such that . Since is connected and non-singleton, , and we may choose 3 different points in . Let be a simple topological measure on given by [13, Example 46], so if a bounded solid set contains two or three of the chosen points, and if a bounded solid set contains no more than one of the chosen points. Since the solid hull of (a compact solid set) contains all three points, and each bounded component of (a bounded open solid set) contains none of the three points, by [13, Definition 41] we compute . Then . Since is disjoint from , and , by superadditivity we have . Thus, .
We shall show that is proper. Let . Since is connected, by Lemma 3 there is a compact connected set such that contains at least two of the three chosen points. Argument as above shows that . Then . Thus, for any , and by [17, Lemma 4.12] is proper.
The remaining three cases are easy. For example, if then as above will do. ∎
Lemma 50**.**
Suppose is locally compact, where each is a deficient topological measure. Then is a finite deficient topological measure. If each is a topological measure, then is a finite topological measure.
Proof.
Let on . It is easy to see that is finitely additive on compact sets. For let be such that , and let . Then is a finite deficient topological measure. For there exists such that . Then , and the inner regularity of follows. Similarly, is outer regular. Thus, is a deficient topological measure; clearly, is finite. If each is a topological measure, it is easy to check additivity of on , so condition (TM1) of Definition 5 holds, and is a topological measure. ∎
Lemma 51**.**
Suppose is locally compact, where each is a proper deficient topological measure (respectively, a proper topological measure). Then is a finite proper deficient topological measure (respectively, a finite proper topological measure).
Proof.
By Lemma 50 is a finite deficient topological measure (respectively, a finite topological measure). We need to show that is proper. By Remark 44 write , where is a finite Radon measure and is a proper deficient topological measure. We shall show that .
Let . For let be such that , and let .
By Remark 44 is a proper deficient topological measure. By [17, Theorem 4.4] there are compact sets such that and . Let be disjoint Borel sets such that and . Since is finite, outer regularity of is equivalent to inner closed regularity of . Find disjoint sets such that are closed (hence, compact) and . Then
[TABLE]
It follows that for any . Thus, , and is proper. ∎
Theorem 52**.**
Let be locally compact. Suppose , where each is a compact subset of .
- (1)
If is dense in then is dense in . 2. (2)
If is dense in then is dense in .
Proof.
Note that each is a locally compact space with respect to the subspace topology. We shall prove the first part. Let . We shall show that every neighborhood of as in Theorem 24 contains a proper deficient topological measure. To simplify notation, we consider where . Take Borel subsets of such that and . Consider , where is a Borel set in , . It is easy to see that .
Let . Let for , so is open in and is compact in . By assumption, there is such that . Let be the extension of to given by for . It is easy to see that is a deficient topological measure, and . Since is proper, by [17, Theorem 4.4] given there are sets of the form such that they cover and . Then open sets cover and , and so is proper. Thus, by [17, Theorem 4.4].
Since , by Lemma 51 is a finite proper deficient topological measure. We have:
[TABLE]
[TABLE]
Thus, .
The proof of the second part is the same, taking into account that are proper topological measures. ∎
Corollary 53**.**
Let , where each as in Theorem 49. Then is dense in , and is dense in .
Proof.
By part 2 of Theorem 46 it is enough to show that is dense in . By Theorem 49, is dense in for each , and we apply part 2 of Theorem 52. ∎
Remark 54**.**
In Corollary 53 one may take, for example, a compact n-manifold, as , or that is covered by countably many sets homeomorphic to balls with varying .
Lemma 55**.**
* is a closed subset of , and is a closed subset of .*
Proof.
By Remark 12 iff is a quasi-linear functional on , and iff is a linear functional on , where . Using basic open sets in Definition 18 it is easy to check that is a closed subset of , and is a closed subset of . ∎
Theorem 56**.**
Suppose is locally compact. The following are equivalent:
- (1)
* is nowhere dense in (or in ).* 2. (2)
There exists a finite deficient topological measure (respectively, a finite topological measure) that is not a measure. 3. (3)
There exists a nonzero finite proper deficient topological measure (respectively, nonzero finite proper topological measure).
Proof.
(1) (2) is obvious. (2) (3): Let be a deficient topological measure that is not a measure. By Remark 44 write where is a measure and is a proper deficient topological measure. Then . (3) (1): Suppose is a proper finite deficient topological measure. Let . Consider a set functions on given by
[TABLE]
Then each is a deficient topological measure that is not a measure, and by Theorem 22. Thus, is dense in , and since is a closed subset of , we see that is nowhere dense in . The proof for topological measures is similar. ∎
Corollary 57**.**
Suppose is locally compact. If contains a non-singleton compact connected set, then is nowhere dense in . If contains an open (or closed) locally connected, connected, non-singleton subset whose Aleksandrov one-point compactification has genus [math] then is nowhere dense in .
Proof.
Use part (2) of Theorem 56. For the first statement, as an example of a finite deficient topological measure that is not a topological measure (hence, not a measure) one may use [16, Example 46], For the second statement, as an example of a finite topological measure that is not a measure one may take [13, Example 61]. ∎
The proof of the next Theorem and Corollary are similar to the proof of Theorem 56 and Corollary 57.
Theorem 58**.**
Suppose is locally compact. The following are equivalent:
- (1)
* is nowhere dense in .* 2. (2)
There exists a finite deficient topological measure that is not a topological measure. 3. (3)
There exists a nonzero finite proper deficient topological measure that is not a topological measure.
Corollary 59**.**
If a locally compact space contains a non-singleton compact connected set, then is nowhere dense in .
Remark 60**.**
When the space is compact, the equivalence of the first two conditions in Theorem 22 and of first three conditions in Theorem 23 was first given in [40, Corollary 4.4, 4.5]. When is compact Theorem 24 was proved in [40], but the method there does not work for a locally compact non-compact space, as the set is not compact. Theorem 25 generalizes results from several papers, including [2], [25], and [40]. Theorem 28 is an adaptation of [33, Theorem 6.2]. Our proof of Theorem 32 is adapted from a nice proof in [9, Theorem 2.3.4]. In the last section we generalize results from [40, Section 4] and [10] from a compact space to a locally compact one.
Acknowledgments: The author would like to thank the Department of Mathematics at the University of California Santa Barbara for its supportive environment.
Conflict of interest
The author declares no conflict of interest.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] Aarnes, J. F.: Physical States on C*-algebra. Acta Math. 122, 161–172 (1969)
- 2[2] Aarnes, J. F.: Quasi-states on C ∗ superscript 𝐶 C^{*} -algebras. Trans. Amer. Math. Soc. 149, 601–625 (1970)
- 3[3] Aarnes, J. F.: Quasi-states and quasi-measures. Adv. Math. 86 (1), 41–67 (1991)
- 4[4] Aarnes, J. F.: Pure quasi-states and extremal quasi-measures. Math. Ann. 295, 575–588 (1993)
- 5[5] Aarnes, J. F.: Construction of non-subadditive measures and discretization of Borel measures. Fund. Math. 147, 213–237 (1995)
- 6[6] Andreou, T.: Density of Lipschitz functions. Proceedings of The Conference of Applied Differential Geometry-General Relativity and The Workshop on Global Analysis, Differential Geometry and Lie Algebras 2001, Balkan Society of Geometers, Geometry Balkan Press, 1–4 (2004).
- 7[7] Billingsley, P.: Convergence of Probability Measures, 2nd edition. John Wiley and Sons, Inc., New York (1999)
- 8[8] Bogachev, V. I. : Measure Theory. vol. 2: Regular and Chaotic Dynamics, Izhevsk (2003). English transl.: Springer-Verlag, Berlin (2007).
