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Computability
Article . 2018
Data sources: mEDRA
DBLP
Article . 2020
Data sources: DBLP
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The Gandy–Hyland functional and a computational aspect of Nonstandard Analysis

Authors: Sanders, Sam;

The Gandy–Hyland functional and a computational aspect of Nonstandard Analysis

Abstract

In this paper, we highlight a new computational aspect of Nonstandard Analysis relating to higher-order computability theory. In particular, we prove that the Gandy–Hyland functional equals a primitive recursive functional involving nonstandard numbers inside Nelson’s internal set theory. From this classical and ineffective proof in Nonstandard Analysis, a term from Gödel’s system T can be extracted which computes the Gandy–Hyland functional in terms of a modulus-of-continuity functional and the special fan functional. We obtain several similar relative computability results not involving Nonstandard Analysis from their associated nonstandard theorems. By way of reversal, we show that certain relative computability results, called Herbrandisations, also imply the nonstandard theorem from whence they were obtained. Thus, we establish a direct two-way connection between the field Computability (in particular theoretical computer science) and the field Nonstandard Analysis.

Country
Belgium
Keywords

Mathematics and Statistics, higher-order, Gandy-Hyland functional, computability theory, Nonstandard Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Top 10%
Green