Building Models by Games (London Mathematical Society Student Texts, Series Number 2)
Description:
This book introduces a general method for building infinite mathematical structures, and surveys its applications in algebra and model theory. The basic idea behind the method is to build a structure by a procedure with infinitely many steps, similar to a game between two players that goes on indefinitely. The approach is new and helps to simplify, motivate and unify a wide range of constructions that were previously carried out separately and by ad hoc methods. The first chapter provides a resume of basic model theory. A wide variety of algebraic applications are studied, with detailed analyses of existentially closed groups of class 2. Another chapter describes the classical model-theoretic form of this method -of construction, which is known variously as 'omitting types', 'forcing' or the 'Henkin-Orey theorem'. The last three chapters are more specialised and discuss how the same idea can be used to build uncountable structures. Applications include completeness for Magidor-Malitz quantifiers, and Shelah's recent and sophisticated omitting types theorem for L(Q). There are also applications to Bdolean algebras and models of arithmetic.
Best prices to buy, sell, or rent ISBN 9780521317160
Frequently Asked Questions about Building Models by Games (London Mathematical Society Student Texts, Series Number 2)
The price for the book starts from $17.66 on Amazon and is available from 3 sellers at the moment.
If you’re interested in selling back the Building Models by Games (London Mathematical Society Student Texts, Series Number 2) book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.
As for the Building Models by Games (London Mathematical Society Student Texts, Series Number 2) book, the best buyback offer comes from and is $ for the book in good condition.
Not enough insights yet.
Not enough insights yet.