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Introduction To Incompleteness 2024th Edition Serafim Batzoglou

  • SKU: BELL-59529408
Introduction To Incompleteness 2024th Edition Serafim Batzoglou
$ 31.00 $ 45.00 (-31%)

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Introduction To Incompleteness 2024th Edition Serafim Batzoglou instant download after payment.

Publisher: Birkhäuser
File Extension: PDF
File size: 8.68 MB
Pages: 313
Author: Serafim Batzoglou
ISBN: 9783031642166, 3031642163
Language: English
Year: 2024
Edition: 2024

Product desciption

Introduction To Incompleteness 2024th Edition Serafim Batzoglou by Serafim Batzoglou 9783031642166, 3031642163 instant download after payment.

Incompleteness is a fascinating phenomenon at the intersection of mathematical foundations, computer science, and epistemology that places a limit on what is provable. However, despite its importance, it is often overlooked in the mathematics curricula because it is difficult to teach. This book aims to help bridge this pedagogical gap by providing a complete and accessible technical exposition of incompleteness for a wide audience. The author accomplishes this by making conceptually difficult proofs more approachable by providing intuitive explanations of the main ideas. Care is taken to emphasize the different layers of the mathematical argument – the layer within and the metalayer about an axiomatic system. Structurally, the book efficiently examines key results and arrives at some of the most interesting concepts as quickly as possible. It begins with Gödel's incompleteness theorems before continuing on to challenging concepts in the arithmetized completeness theorem, the Paris-Harrington theorem, and the independence of the continuum hypothesis. Other topics covered include the Lucas-Penrose arguments, ordinals and cardinals, and axiomatic set theory. Additionally, the author’s coverage of forcing is a notable addition to the existing literature. Introduction to Incompleteness will be of interest to researchers, students, and instructors looking for a resource to teach this topic. It may also be suitable for self-study. Knowledge of undergraduate-level theoretical mathematics or computer science is required, as well as a familiarity with abstract proofs.

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