Kniha Introduction to Incompleteness Serafim Batzoglou

Introduction to Incompleteness

From Gödel's Theorems to Forcing and the Continuum Hypothesis

Jazyk: Angličtina
Vazba: Pevná
Vydavatel: Springer, Berlin
Dostupnost: Skladem u dodavatele
Odesíláme za 10-13 dnů
3 426
Incompleteness is a fascinating phenomenon at the intersection of mathematical foundations, computer...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2024
Stránek
314
EAN
9783031642166
Enbook ID
46051051
Vydavatel
Hmotnost
584
Rozměry
155 x 235

Kompletní popis

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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