Computable Structure Theory: Within the Arithmetic

Hardback

Main Details

Title Computable Structure Theory: Within the Arithmetic
Authors and Contributors      By (author) Antonio Montalban
SeriesPerspectives in Logic
Physical Properties
Format:Hardback
Pages:250
Dimensions(mm): Height 240,Width 162
ISBN/Barcode 9781108423298
ClassificationsDewey:511.3
Audience
Professional & Vocational
Illustrations Worked examples or Exercises

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 24 June 2021
Publication Country United Kingdom

Description

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.

Author Biography

Antonio Montalban is Professor of Mathematics at the University of California, Berkeley.

Reviews

'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