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Computable Structure Theory: Within the Arithmetic
Hardback
Main Details
Title |
Computable Structure Theory: Within the Arithmetic
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Authors and Contributors |
By (author) Antonio Montalban
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Series | Perspectives in Logic |
Physical Properties |
Format:Hardback | Pages:250 | Dimensions(mm): Height 240,Width 162 |
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ISBN/Barcode |
9781108423298
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Classifications | Dewey:511.3 |
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Audience | Professional & Vocational | |
Illustrations |
Worked examples or Exercises
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Publishing Details |
Publisher |
Cambridge University Press
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Imprint |
Cambridge University Press
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Publication Date |
24 June 2021 |
Publication Country |
United Kingdom
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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
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