Beyond First Order Model Theory, Volume II

Beyond First Order Model Theory, Volume II

Author: Jose Iovino

Publisher: CRC Press

Published: 2023-07-03

Total Pages: 596

ISBN-13: 042955866X

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Model theory is the meta-mathematical study of the concept of mathematical truth. After Afred Tarski coined the term Theory of Models in the early 1950’s, it rapidly became one of the central most active branches of mathematical logic. In the last few decades, ideas that originated within model theory have provided powerful tools to solve problems in a variety of areas of classical mathematics, including algebra, combinatorics, geometry, number theory, and Banach space theory and operator theory. The two volumes of Beyond First Order Model Theory present the reader with a fairly comprehensive vista, rich in width and depth, of some of the most active areas of contemporary research in model theory beyond the realm of the classical first-order viewpoint. Each chapter is intended to serve both as an introduction to a current direction in model theory and as a presentation of results that are not available elsewhere. All the articles are written so that they can be studied independently of one another. This second volume contains introductions to real-valued logic and applications, abstract elementary classes and applications, interconnections between model theory and function spaces, nonstucture theory, and model theory of second-order logic. Features A coherent introduction to current trends in model theory. Contains articles by some of the most influential logicians of the last hundred years. No other publication brings these distinguished authors together. Suitable as a reference for advanced undergraduate, postgraduates, and researchers. Material presented in the book (e.g, abstract elementary classes, first-order logics with dependent sorts, and applications of infinitary logics in set theory) is not easily accessible in the current literature. The various chapters in the book can be studied independently.


Beyond First Order Model Theory, Volume I

Beyond First Order Model Theory, Volume I

Author: Jose Iovino

Publisher: CRC Press

Published: 2017-08-14

Total Pages: 382

ISBN-13: 1315351099

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Model theory is one of the central branches of mathematical logic. The field has evolved rapidly in the last few decades. This book is an introduction to current trends in model theory, and contains a collection of articles authored by top researchers in the field. It is intended as a reference for students as well as senior researchers.


A Shorter Model Theory

A Shorter Model Theory

Author: Wilfrid Hodges

Publisher: Cambridge University Press

Published: 1997-04-10

Total Pages: 322

ISBN-13: 9780521587136

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This is an up-to-date textbook of model theory taking the reader from first definitions to Morley's theorem and the elementary parts of stability theory. Besides standard results such as the compactness and omitting types theorems, it also describes various links with algebra, including the Skolem-Tarski method of quantifier elimination, model completeness, automorphism groups and omega-categoricity, ultraproducts, O-minimality and structures of finite Morley rank. The material on back-and-forth equivalences, interpretations and zero-one laws can serve as an introduction to applications of model theory in computer science. Each chapter finishes with a brief commentary on the literature and suggestions for further reading. This book will benefit graduate students with an interest in model theory.


Extensions of First-Order Logic

Extensions of First-Order Logic

Author: Maria Manzano

Publisher: Cambridge University Press

Published: 1996-03-29

Total Pages: 414

ISBN-13: 9780521354356

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An introduction to many-sorted logic as an extension of first-order logic.


Mathematical Logic

Mathematical Logic

Author: Stephen Cole Kleene

Publisher: Courier Corporation

Published: 2013-04-22

Total Pages: 436

ISBN-13: 0486317072

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Contents include an elementary but thorough overview of mathematical logic of 1st order; formal number theory; surveys of the work by Church, Turing, and others, including Gödel's completeness theorem, Gentzen's theorem, more.


Mathematical Logic

Mathematical Logic

Author: H.-D. Ebbinghaus

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 290

ISBN-13: 1475723555

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This introduction to first-order logic clearly works out the role of first-order logic in the foundations of mathematics, particularly the two basic questions of the range of the axiomatic method and of theorem-proving by machines. It covers several advanced topics not commonly treated in introductory texts, such as Fraïssé's characterization of elementary equivalence, Lindström's theorem on the maximality of first-order logic, and the fundamentals of logic programming.


A Guide to Classical and Modern Model Theory

A Guide to Classical and Modern Model Theory

Author: Annalisa Marcja

Publisher: Springer Science & Business Media

Published: 2012-09-10

Total Pages: 377

ISBN-13: 9400708122

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This volume is easily accessible to young people and mathematicians unfamiliar with logic. It gives a terse historical picture of Model Theory and introduces the latest developments in the area. It further provides 'hands-on' proofs of elimination of quantifiers, elimination of imaginaries and other relevant matters. The book is for trainees and professional model theorists, and mathematicians working in Algebra and Geometry.


A First Course in Linear Model Theory

A First Course in Linear Model Theory

Author: Nalini Ravishanker

Publisher: CRC Press

Published: 2001-12-21

Total Pages: 494

ISBN-13: 9781584882473

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This innovative, intermediate-level statistics text fills an important gap by presenting the theory of linear statistical models at a level appropriate for senior undergraduate or first-year graduate students. With an innovative approach, the author's introduces students to the mathematical and statistical concepts and tools that form a foundation for studying the theory and applications of both univariate and multivariate linear models A First Course in Linear Model Theory systematically presents the basic theory behind linear statistical models with motivation from an algebraic as well as a geometric perspective. Through the concepts and tools of matrix and linear algebra and distribution theory, it provides a framework for understanding classical and contemporary linear model theory. It does not merely introduce formulas, but develops in students the art of statistical thinking and inspires learning at an intuitive level by emphasizing conceptual understanding. The authors' fresh approach, methodical presentation, wealth of examples, and introduction to topics beyond the classical theory set this book apart from other texts on linear models. It forms a refreshing and invaluable first step in students' study of advanced linear models, generalized linear models, nonlinear models, and dynamic models.