Loeb extension and Loeb equivalence

By Robert M. Anderson, Haosui Duanmu, David Schrittesser, and William Weiss

Abstract

In [J. London Math. Soc. 69 (2004), pp. 258–272] Keisler and Sun leave open several questions regarding Loeb equivalence between internal probability spaces; specifically, whether under certain conditions, the Loeb measure construction applied to two such spaces gives rise to the same measure. We present answers to two of these questions, by giving two examples of probability spaces. Moreover, we reduce their third question to the following: Is the internal algebra generated by the union of two Loeb equivalent internal algebras a subset of their common Loeb extension? We also present a sufficient condition for a positive answer to this question.

1. Introduction

The Loeb measure construction (Reference Loe75) has many fruitful applications in various areas in mathematics such as probability theory (see Reference And76, Reference AR78, Reference Per81, Reference Kei84, Reference Sto86, Reference Lin90, Reference Lin04, Reference DRW18, Reference ADS18 etc), statistical decision theory (see Reference DR18), potential theory (Reference Loe76), mathematical physics (see Reference AHKFL86) and mathematical economics (see Reference BR74, Reference Kha74, Reference BR75, Reference KR75, Reference Kha76, Reference Ras78, Reference Emm84, Reference And85, Reference And88, Reference And91, Reference Sun96, Reference AKRS97, Reference Sun99, Reference KS99, Reference AKS03, Reference Rau07, Reference DS07, Reference AR08, Reference Sun16, Reference DQS18, Reference CHLS19, among others).⁠Footnote1 These applications are made possible by a well-developed theory of integration (see Reference Loe75 and Reference And76), representation of measures (see Reference And82 and Reference Sti97) and a Fubini theorem for Loeb measures (see Reference Kei84). Reference KS04 made an important contribution to these elements of the theory of Loeb measure, and also left four open questions. In this paper we address the first three of these.

1

Reference BR74, Reference Kha74, Reference BR75, Reference KR75 and Reference Kha76 predated the Loeb measure construction. They relied on a careful analysis of the close relationship between the discrete and measure-theoretic properties of hyperfinite sets that the Loeb measure construction so perfectly captures. The arguments in these papers led, via a Loeb space argument, to a very general and completely elementary argument given in Reference And78.

Given an internal probability space , its Loeb extension is defined to be the countably additive probability space , where consists of all sets such that

and is defined to be the above supremum. Reference KS04 introduced the following definition to compare two internal probability spaces.

Definition 1.1.

Let and be two internal probability spaces. We say Loeb extends if and extends as a function. We say is Loeb equivalent to if and .

If and extends as a function, then it is clear that Loeb extends . However, as pointed out by Reference KS04, without the assumption , it is difficult to make any assertions about the relationship between their Loeb extensions. These difficulties are addresses by the following three questions posed in Reference KS04.

To state these question, let and be internal probability spaces. Moreover let us fix the following terminology: We say an internal probability space is hyperfinite if is hyperfinite. We emphasize that as in Reference KS04, we do not require to be hyperfinite.

Question 1.

Suppose Loeb extends . Must have an internal subspace that is Loeb equivalent to ? What if is assumed to be hyperfinite?

Question 2.

Suppose Loeb extends and is hyperfinite. Must be Loeb equivalent to a hyperfinite probability space?

Question 3.

Suppose is Loeb equivalent to and let be the internal algebra generated by . Must there be an internal probability measure on such that is Loeb equivalent to ? What if and are assumed to be hyperfinite?

In this paper give complete solutions to the first two of these questions, as well as a partial solution to the third.

2. Counter-examples for the first two questions

We start this section by introducing the following theorem which provides a useful characterization of Loeb extension. The first part of the theorem is cited from Reference KS04, Lemma. 4.3.

Theorem 2.1.

Let and be two internal probability spaces.

Loeb extends if and only if for every there exists such that and .

Loeb extends if and only if for every there exists such that and .

Proof.

The first statement is cited directly from Reference KS04, Lemma. 4.3. We give a proof of the second statement for completeness. Suppose Loeb extends and pick . Then there exists such that and . Thus, we have and . Conversely, for every , there exists such that and . Hence, we have and . By the first statement, we know that Loeb extends .

The following theorem gives a condition which is necessary in order that contain an internal subspace which is Loeb equivalent to .

Theorem 2.2.

Suppose Loeb extends and has an internal subspace that is Loeb equivalent to . Then, for every there exists such that for some and . If is hyperfinite, then can be taken to be .

Proof.

Let , where is the restriction of to , be an internal subspace of that is Loeb equivalent to . Pick . By Theorem 2.1, there exists such that and . By Theorem 2.1 again, we know that there exists such that and .

Question 1 asks whether the converse of Theorem 2.2 is true. We provide a counter-example below.

Example 2.3.

Let for some and let . Then includes the set of all rational numbers in as a subset. Let denote the uniform hyperfinite probability measure on , that is, for every . Let

and let be the internal algebra generated by

Let and be restrictions of on and , respectively. Finally, let and . By Theorem 2.1, it is clear that Loeb extends . On the other hand, the Loeb -algebra generated from is the same as . Thus, does not contain any element in , hence is not Loeb equivalent to any internal subset of .

Since the answer to Question 1 is negative, we now turn our attention to Question 2. The following example shows that the answer to Question 2 is also negative.

Example 2.4.

Let be an element of and let . Let denote the Lebesgue measure on . Let be the internal algebra generated by and all for . Clearly, is not hyperfinite. Moreover, a subset of is an element of if and only if it is hyperfinite. Let be the internal algebra generated by . Let and be the restrictions of on and , respectively. Finally, let and . It is clear that is hyperfinite and, by Theorem 2.1, Loeb extends . Moreover, we have the following lemma:

Lemma 2.5.

For every internal set , if and only if is hyperfinite.

Proof.

Pick . Clearly, if is hyperfinite, then . If , then there must exist such that and . By the construction of , must be hyperfinite. As is internal, must be hyperfinite.

We now show that is not Loeb equivalent to any hyperfinite probability space. Suppose not. Let be a hyperfinite probability space that is Loeb equivalent to . For every , by Theorem 2.1, there exists such that and . Pick and let

Note that there are *infinitely many and hyperfinitely many with . As each must be contained in some such that , by the transfer of the pigeonhole principle, is non-empty for every . By the saturation principle, there exists an internal such that and contains *infinitely many . As is Loeb equivalent to , we know that . This, however, contradicts Lemma 2.5, hence we conclude that is not Loeb equivalent to any hyperfinite probability space.

In summary, both Question 1 and Question 2 have negative answers. In general, if Loeb extends , it needn’t be the case that is equivalent to a subspace of .

3. A reformulation of the third question

In this and the following sections, we give a partial answers to Question 3. In this section, we reduce Question 3 to the following question in the hyperfinite case: for hyperfinite spaces, is the internal algebra generated by the union of two Loeb equivalent internal algebras a subset of the Loeb extension of one of the two generating algebras?

Let be an internal probability space and let be an internal algebra on . The following theorem shows that if and only if it is possible to define an internal measure on such that Loeb extends .

Theorem 3.1.

Suppose is a hyperfinite probability space and is a hyperfinite algebra on . Then Loeb extends for some internal probability measure if and only if .

Proof.

Suppose, for some internal probability measure , Loeb extends . Then we have which implies that .

Now suppose . As is hyperfinite, by the transfer principle, there exists an internal subset of such that

(1)

is a partition of

(2)

Each is an atom of , i.e., for any non-empty , .

Any is a hyperfinite union of elements from , i.e., internally generates the algebra . Similarly, there exists an internal subset of such that

(1)

is a partition of

(2)

Each is an atom in .

Let . It is easy to see that forms a partition of and every element in the algebra generated by can be written as a hyperfinite union of elements in . For , let . Then and is hyperfinite for every . We now define a function . For every , for exactly one , let where denotes the internal cardinality of .

Claim 3.2.

For every , .

Proof.

Pick . Let . Every such that is an element of exactly one element in . Moreover, as forms a partition of , an element in is either a subset of or disjoint from . Thus, we have

Define by letting .

Claim 3.3.

is an internal probability measure on .

Proof.

Clearly we have and . Let be two disjoint sets. Let be an element of . As forms a partition of and both and can be written as a hyperfinite union of elements in , we can conclude that is either a subset of or a subset of . Thus, we have

We now show that Loeb extends . Pick . Let and let . As is hyperfinite, both and are elements of . Moreover, as , we have , which implies that . As , we have . By Claim 3.2, we have and . Thus, we can conclude that , completing the proof.

The following theorem gives a partial answer to Question 3.

Theorem 3.4.

Let be a hyperfinite probability space and let be a hyperfinite algebra on . Let be the internal algebra generated by . Then is Loeb equivalent to for some internal probability measure if and only if .

Proof.

Suppose there exists an internal probability measure such that is Loeb equivalent to . Then we have which implies that .

Now suppose . By Theorem 3.1, there exists an internal probability measure on such that Loeb extends . Thus, we have for every . By Theorem 2.1, Loeb extends and we have the desired result.

It is natural to ask if Theorem 3.4 remains valid without the hyperfinite assumption.

Open Problem 1.

Let and be two internal probability spaces that are not hyperfinite. Let be the internal algebra generated by . Suppose is Loeb equivalent to , and . Must there be an internal probability measure on such that is Loeb equivalent to ?

4. Addtional results on the third question

By Theorem 3.4, a positive answer to the following question leads to a positive answer to Question 3 in the hyperfinite case.

Open Problem 2.

Let be a hyperfinite probability space and let be a hyperfinite algebra on such that . Let be the hyperfinite algebra generated by . Is ?

We suspect the answer to the question posed in Open Problem 2 is negative. However, we shall momentarily give a sufficient condition for a positive answer.

Throughout this section, let and be two hyperfinite probability spaces and let be the internal algebra generated by . We use the same notation as in the proof of Theorem 3.1. Throughout this section, let be a set of atoms for , i.e., an internal subset of such that

(1)

is a partition of

(2)

For every , if there exists non-empty such that , then .

Similarly, let be a set of atoms for , i.e., an internal subset of such that

(1)

is a partition of

(2)

For every , if there exists non-empty such that , then .

Let . Then forms a partition of and every element in can be written as a hyperfinite union of elements in . Assuming , it follows that . However, it is not clear whether all hyperfinite (not finite) unions of elements in are elements of .

The following lemma provides a simple sufficient condition under which . Define .

Theorem 4.1.

Suppose and . Then .

Proof.

Let . Pick and, without loss of generality, assume that where , and . Let . Then where and . Clearly, is a subset of . As , by the completeness of Loeb measure, is Loeb measurable and . Note that, for every element , there exists an unique such that and hence . Thus, for every , is either or . Thus, we know that . Hence we conclude that , completing the proof.

In the remainder of this section, we show that contains an internal subset such that

(1)

;

(2)

for every .

Let us start with the following lemma.

Lemma 4.2.

Let be a hyperfinite probability space and let be a hyperfinite algebra on such that . Let be an internal subset of . Suppose there exists such that both and intersect every element in . Then .

Proof.

Let . Since intersects every element in , we know that . Thus, by the Loeb measurability of , we know that has Loeb measure . Similarly, we can conclude that has Loeb measure . Thus, we can conclude that .

In what follows, let us write .

Theorem 4.3.

Let be a hyperfinite probability space and let be an internal algebra on such that . Suppose is non-empty. Then there exists an internal such that

(A)

;

(B)

for every .

Proof.

We now find a hyperfinite sequence using the following algorithm, which takes hyperfinitely many steps to complete.

(1)

Pick any element and let .

(2)

For , assuming have already been chosen, pick such that .

We continue this process until no as in Item 2 can be found, which must happen after a hyperfinite number of steps. Suppose that is such that is the last element of found by our algorithm, and consider the set . Note that is an internal subset of , since by construction, the sequence is internal.

Claim 4.4.

.

Proof.

It is clear that intersects with every element in . Pick . By construction, there exists an unique such that . As , we conclude that . For every , we also have , hence we conclude that both and its complement intersect with every element of . Thus, by Lemma 4.2, we have .

Claim 4.5.

for every .

Proof.

Suppose not. Then there exists some such that

Thus, shall be added into the algorithm and the length of the algorithm would be . This contradicts with the fact that our algorithm ends in steps.

Combining Claim 4.4 and Claim 4.5, we have the desired result.

We conclude the paper with the following open problem.

Open Problem 3.

Let and be two hyperfinite probability spaces. If , is it possible that ?

Mathematical Fragments

Question 1.

Suppose Loeb extends . Must have an internal subspace that is Loeb equivalent to ? What if is assumed to be hyperfinite?

Question 2.

Suppose Loeb extends and is hyperfinite. Must be Loeb equivalent to a hyperfinite probability space?

Question 3.

Suppose is Loeb equivalent to and let be the internal algebra generated by . Must there be an internal probability measure on such that is Loeb equivalent to ? What if and are assumed to be hyperfinite?

Theorem 2.1.

Let and be two internal probability spaces.

Loeb extends if and only if for every there exists such that and .

Loeb extends if and only if for every there exists such that and .

Theorem 2.2.

Suppose Loeb extends and has an internal subspace that is Loeb equivalent to . Then, for every there exists such that for some and . If is hyperfinite, then can be taken to be .

Example 2.4.

Let be an element of and let . Let denote the Lebesgue measure on . Let be the internal algebra generated by and all for . Clearly, is not hyperfinite. Moreover, a subset of is an element of if and only if it is hyperfinite. Let be the internal algebra generated by . Let and be the restrictions of on and , respectively. Finally, let and . It is clear that is hyperfinite and, by Theorem 2.1, Loeb extends . Moreover, we have the following lemma:

Lemma 2.5.

For every internal set , if and only if is hyperfinite.

Proof.

Pick . Clearly, if is hyperfinite, then . If , then there must exist such that and . By the construction of , must be hyperfinite. As is internal, must be hyperfinite.

We now show that is not Loeb equivalent to any hyperfinite probability space. Suppose not. Let be a hyperfinite probability space that is Loeb equivalent to . For every , by Theorem 2.1, there exists such that and . Pick and let

Note that there are *infinitely many and hyperfinitely many with . As each must be contained in some such that , by the transfer of the pigeonhole principle, is non-empty for every . By the saturation principle, there exists an internal such that and contains *infinitely many . As is Loeb equivalent to , we know that . This, however, contradicts Lemma 2.5, hence we conclude that is not Loeb equivalent to any hyperfinite probability space.

Theorem 3.1.

Suppose is a hyperfinite probability space and is a hyperfinite algebra on . Then Loeb extends for some internal probability measure if and only if .

Claim 3.2.

For every , .

Theorem 3.4.

Let be a hyperfinite probability space and let be a hyperfinite algebra on . Let be the internal algebra generated by . Then is Loeb equivalent to for some internal probability measure if and only if .

Open Problem 2.

Let be a hyperfinite probability space and let be a hyperfinite algebra on such that . Let be the hyperfinite algebra generated by . Is ?

Lemma 4.2.

Let be a hyperfinite probability space and let be a hyperfinite algebra on such that . Let be an internal subset of . Suppose there exists such that both and intersect every element in . Then .

Claim 4.4.

.

Claim 4.5.

for every .

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Article Information

MSC 2020
Primary: 28E05 (Nonstandard measure theory)
Secondary: 03H05 (Nonstandard models in mathematics), 26E35 (Nonstandard analysis)
Author Information
Robert M. Anderson
Department of Economics, University of California, Berkeley, California 94720
ORCID
Haosui Duanmu
Department of Economics, University of California, Berkeley, California 94720
MathSciNet
David Schrittesser
Kurt Gödel Research Center, University of Vienna, Universitätsring 1, 1010 Vienna, Austria
ORCID
MathSciNet
William Weiss
Department of Mathematics, University of Toronto, Toronto, Ontario M5S 1A1, Canada
MathSciNet
Communicated by
Heike Mildenberger
Journal Information
Proceedings of the American Mathematical Society, Series B, Volume 8, Issue 10, ISSN 2330-1511, published by the American Mathematical Society, Providence, Rhode Island.
Publication History
This article was received on , revised on , and published on .
Copyright Information
Copyright 2021 by the authors under Creative Commons Attribution-Noncommercial 3.0 License (CC BY NC 3.0)
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  • DOI 10.1090/bproc/78
  • MathSciNet Review: 4234059
  • Show rawAMSref \bib{4234059}{article}{ author={Anderson, Robert}, author={Duanmu, Haosui}, author={Schrittesser, David}, author={Weiss, William}, title={Loeb extension and Loeb equivalence}, journal={Proc. Amer. Math. Soc. Ser. B}, volume={8}, number={10}, date={2021}, pages={112-120}, issn={2330-1511}, review={4234059}, doi={10.1090/bproc/78}, }

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