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Computable Structure Theory

Within the Arithmetic

Antonio Montalbán author

Format:Hardback

Publisher:Cambridge University Press

Published:24th Jun '21

Currently unavailable, currently targeted to be due back around 2nd December 2024, but could change

Computable Structure Theory cover

Presents main results and techniques in computable structure theory together in a coherent framework for the first time in 20 years.

Computable structure theory studies the relative complexity of mathematical structures. Written by a contemporary expert, this is the first full monograph on the subject in 20 years. Aimed at graduate students and researchers in mathematical logic, it brings the main results and techniques in the field together into a coherent framework.In mathematics, we know there are some concepts - objects, constructions, structures, proofs - that are more complex and difficult to describe than others. Computable structure theory quantifies and studies the complexity of mathematical structures, structures such as graphs, groups, and orderings. Written by a contemporary expert in the subject, this is the first full monograph on computable structure theory in 20 years. Aimed at graduate students and researchers in mathematical logic, it brings new results of the author together with many older results that were previously scattered across the literature and presents them all in a coherent framework, making it easier for the reader to learn the main results and techniques in the area for application in their own research. This volume focuses on countable structures whose complexity can be measured within arithmetic; a forthcoming second volume will study structures beyond arithmetic.

'This exceptionally well-written book is the first modern monograph on computable structure theory in 20 years … The author succeeds in bringing together new and old results and presenting them in a coherent framework, making it easy for the reader to learn the main results and techniques in the area for application in their own research.' Alexandra Andreeva Soskova, MathSciNet

ISBN: 9781108423298

Dimensions: 240mm x 162mm x 18mm

Weight: 490g

250 pages