Internality, transfer, and infinitesimal modeling of infinite processes

Emanuele Bottazzi, Mikhail G. Katz

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

A probability model is underdetermined when there is no rational reason to assign a particular infinitesimal value as the probability of single events. Pruss claims that hyperreal probabilities are underdetermined. The claim is based upon external hyperreal-valued measures. We show that internal hyperfinite measures are not underdetermined. The importance of internality stems from the fact that Robinson's transfer principle only applies to internal entities. We also evaluate the claim that transferless ordered fields (surreals, Levi-Civita field, Laurent series) may have advantages over hyperreals in probabilistic modeling. We show that probabilities developed over such fields are less expressive than hyperreal probabilities.

Original languageEnglish
Pages (from-to)256-277
Number of pages22
JournalPhilosophia Mathematica
Volume29
Issue number2
DOIs
StatePublished - 1 Jun 2021

Bibliographical note

Publisher Copyright:
© 2020 The Authors [2020]. Published by Oxford University Press. All rights reserved.

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