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Chapter 7 - Rich adapted spaces

Published online by Cambridge University Press:  30 March 2017

Sergio Fajardo
Affiliation:
Universidad de los Andes, Colombia
H. Jerome Keisler
Affiliation:
University of Wisconsin, Madison
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Summary

In the preceding chapterswe have often used the adjective “rich” to describe the powerful properties of saturated and hyperfinite adapted spaces. In this chapter we formally introduce the mathematical notion of a rich adapted space and prove three main theorems about them (in these theorems we allow filtrations which are not necessarily right continuous): (1)With a countable time line, an adapted space is rich if and only if it is saturated. (2) Every atomless adapted Loeb space is rich. (3) For every rich adapted space with the real time line, the corresponding right continuous adapted space is saturated. This will show that all atomless adapted Loeb spaces are saturated. In the next chapter we will see that rich adapted spaces have some strong properties which quickly lead to a variety of applications in probability theory.

Many applications of nonstandard analysis take the following form, sometimes called the lifting procedure. Start with a problem stated in standard terms. Lift everything in sight up to the nonstandardworld. Construct a sequence of internal approximate solutions of some kind indexed by the natural numbers. Use the Saturation Principle to extend the sequence through the hyperintegers. Finally, take object number H where H is a sufficiently small infinite hyperinteger, and come back down to the standard world to get a solution of the original problem. Nonstandard arguments of this sort are similar to standard compactness arguments, but can work in cases where a compactness argument fails. There are several examples of the lifting procedure in Chapter 2.

The lifting procedure is well known to workers in the field. Unfortunately, to those mathematicians not familiar with the theory, the beauty and power of these techniques remains a complete mystery. One way to address this issue is to try to convince experts of the value of nonstandard analysis, so that they are encouraged to study it and then be able to use it. One tries to present interesting results so that the experts in the field will dare to look closely at them. But predictably, these efforts have encountered resistance. For a related discussion of these issues consult Keisler [1991], Keisler [1994].

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Publisher: Cambridge University Press
Print publication year: 2002

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  • Rich adapted spaces
  • Sergio Fajardo, Universidad de los Andes, Colombia, H. Jerome Keisler, University of Wisconsin, Madison
  • Book: Model Theory of Stochastic Processes
  • Online publication: 30 March 2017
  • Chapter DOI: https://doi.org/10.1017/9781316756126.008
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  • Rich adapted spaces
  • Sergio Fajardo, Universidad de los Andes, Colombia, H. Jerome Keisler, University of Wisconsin, Madison
  • Book: Model Theory of Stochastic Processes
  • Online publication: 30 March 2017
  • Chapter DOI: https://doi.org/10.1017/9781316756126.008
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Rich adapted spaces
  • Sergio Fajardo, Universidad de los Andes, Colombia, H. Jerome Keisler, University of Wisconsin, Madison
  • Book: Model Theory of Stochastic Processes
  • Online publication: 30 March 2017
  • Chapter DOI: https://doi.org/10.1017/9781316756126.008
Available formats
×