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Journal of Logic and Analysis
Article . 2014 . Peer-reviewed
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Journal of Logic and Analysis
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Article . 2014
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Article . 2014
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Surreal Analysis: An Analogue of Real Analysis for Surreal Numbers

Surreal analysis: an analogue of real analysis for surreal numbers
Authors: Simon Rubinstein-Salzedo; Ashvin Anand Swaminathan;

Surreal Analysis: An Analogue of Real Analysis for Surreal Numbers

Abstract

Summary: The class \textbf{No} of surreal numbers, which John Conway discovered while studying combinatorial games, possesses a rich numerical structure and shares many arithmetic and algebraic properties with the real numbers. Some work has also been done to develop analysis on \textbf{No}. In this paper, we extend this work with a treatment of functions, limits, derivatives, power series and integrals. We propose surreal definitions of the arctangent and logarithm functions using truncations of Maclaurin series. Using a new representation of surreals, we present a formula for the limit of a sequence, and we use this formula to provide a complete characterization of convergent sequences and to evaluate certain series and infinite Riemann sums via extrapolation. A similar formula allows us to evaluate limits (and hence derivatives) of functions. By defining a new topology on \textbf{No}, we obtain the intermediate value theorem even though \textbf{No} is not Cauchy complete, and we prove that the fundamental theorem of calculus would hold for surreals if a consistent definition of integration exists.

Related Organizations
Keywords

functions, Nonstandard topology, analysis, calculus, surreal numbers, Nonstandard analysis, integrals, Nonstandard models, derivatives, sequences, series, limits

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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!
5
Average
Top 10%
Average
gold