Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-2pzkn Total loading time: 0 Render date: 2024-06-07T18:02:57.860Z Has data issue: false hasContentIssue false

Neoclosed forcing

from FOUNDATIONS

Published online by Cambridge University Press:  30 March 2017

Nigel J. Cutland
Affiliation:
University of York
Mauro Di Nasso
Affiliation:
Università degli Studi, Pisa
David A. Ross
Affiliation:
University of Hawaii, Manoa
Get access

Summary

Abstract. A general model-theoretic theory of approximation is presented which encompasses approximation methods found in analysis in both standard and nonstandard settings. We first give a simple version of the main idea, in the classical metric space setting. This was inspired by work of Anderson and Henson. We inductively define the notions of a closed formula, closed forcing, and the set of approximations of a closed formula. It is shown that given a relatively compact sequence, a closed formula is forced if and only if all its approximations are eventually true, and also if and only if the formula is true at every limit point. Then, in the nonstandard setting, we prove harder analogous results using our theory of neometric spaces, where saturation arguments take the place of compactness arguments. These results shed light on well-known nonstandard constructions that produce new theorems about standard objects.

Introduction. One of the main uses of model theory outside of mathematical logic itself has been the introduction in the early sixties of nonstandard analysis by Abraham Robinson (see [18]). He showed how to apply nonstandard models of the appropriate language to a wide variety of problems in analysis. His construction captured the attention of mathematicians because it made the old idea of infinitesimal quantities available to modern mathematics (for a detailed history of the development of these ideas see the last chapter in [18]).

Robinson's original presentation, which relied heavily on the theory of types, has been “cleaned up”, so that today one does not have to be a logician in order to understand and use nonstandard analysis. Nevertheless there are close ties between model theory and developments that have originated from nonstandard practice. The purpose of this paper is to develop one of these ties: we give a general model theoretic theory of approximation which encompasses approximation methods found in both standard and nonstandard settings.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2006

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

R., Anderson, Almost implies near, Transactions of the American Mathematical Society, vol. 296, (1986), pp. 229–237.Google Scholar
L.O., Arkeryd, N.J., Cutland, and C.W., Henson, Nonstandard analysis, theory and applications, Kluwer, 1997.
P., Billingsley, Convergence of probability measures, Wiley, 1968.
S., Fajardo and H.J., Keisler, Long sequences and neocompact sets, Developments in nonstandard analysis (N., Cutland et al., editors), Longman, 1995, pp. 251–260.
S., Fajardo and H.J., Keisler, Existence theorems in probability theory, Advances in Mathematics, vol. 120, (1996), pp. 191–257.Google Scholar
S., Fajardo and H.J., Keisler, Neometric spaces, Advances in Mathematics, vol. 118, (1996), pp. 134–175.Google Scholar
S., Fajardo and H.J., Keisler, Model theory of stochastic processes, Lecture Notes in Logic, vol. 14, Assoc. for Symbolic Logic, 2002.Google Scholar
C.W., Henson, Nonstandard hulls of Banach spaces, Israel Journal of Mathematics, vol. 25, (1976), pp. 108–144.Google Scholar
C.W., Henson and J., Iovino, Ultraproducts in analysis, Analysis and logic (C., Finet and C., Michaux, editors), London Math. Soc. Lecture Note Series, 2003.
H.J., Keisler, An infinitesimal approach to stochastic analysis, vol. 297, Memoirs of the American Mathematical Society, 1984.Google Scholar
H.J., Keisler, From discrete to continuous time, Annals of Pure and Applied Logic, vol. 52, (1991), pp. 99–141.Google Scholar
H.J., Keisler, A neometric survey, Developments in nonstandard analysis (N., Cutland et al., editors), Longman, 1995, pp. 233–250.
H.J., Keisler, Rich and saturated adapted spaces, Advances in Mathematics, vol. 128, (1997), pp. 242–288.Google Scholar
H.J., Keisler, Stochastic differential equations with extra properties, Nonstandard analysis: Theory and applications (L.O., Arkeryd, N.J., Cutland, and C.W., Henson, editors), Kluwer, 1997, pp. 259–278.
H.J., Keisler, Quantifier elimination for neocompact sets, The Journal of Symbolic Logic, vol. 63, (1998), pp. 1442–1472.Google Scholar
M., Ali Khan and Yeneng, Sun, Non-cooperative games on hyperfinite Loeb spaces, Journal of Mathematical Economics, vol. 31, (1999), pp. 455–492.Google Scholar
T., Lindstrom, An invitation to nonstandard analysis, Nonstandard analysis and its applications (N., Cutland, editor), London Math. Soc., 1988, pp. 1–105.
A., Robinson, Non-standard analysis, North-Holland, Amsterdam, 1966.

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

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 Dropbox.

Available formats
×

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.

Available formats
×