Model Theory and Algebraic Geometry

Model Theory and Algebraic Geometry
Author: Elisabeth Bouscaren
Publisher: Springer
Total Pages: 223
Release: 2009-03-14
Genre: Mathematics
ISBN: 3540685219

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This introduction to the recent exciting developments in the applications of model theory to algebraic geometry, illustrated by E. Hrushovski's model-theoretic proof of the geometric Mordell-Lang Conjecture starts from very basic background and works up to the detailed exposition of Hrushovski's proof, explaining the necessary tools and results from stability theory on the way. The first chapter is an informal introduction to model theory itself, making the book accessible (with a little effort) to readers with no previous knowledge of model theory. The authors have collaborated closely to achieve a coherent and self- contained presentation, whereby the completeness of exposition of the chapters varies according to the existence of other good references, but comments and examples are always provided to give the reader some intuitive understanding of the subject.

Model Theory, Algebra, and Geometry

Model Theory, Algebra, and Geometry
Author: Deirdre Haskell
Publisher: Cambridge University Press
Total Pages: 244
Release: 2000-07-03
Genre: Mathematics
ISBN: 9780521780681

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Leading experts survey the connections between model theory and semialgebraic, subanalytic, p-adic, rigid and diophantine geometry.

Model Theory : An Introduction

Model Theory : An Introduction
Author: David Marker
Publisher: Springer Science & Business Media
Total Pages: 342
Release: 2006-04-06
Genre: Mathematics
ISBN: 0387227342

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Assumes only a familiarity with algebra at the beginning graduate level; Stresses applications to algebra; Illustrates several of the ways Model Theory can be a useful tool in analyzing classical mathematical structures

Advances in Algebra and Model Theory

Advances in Algebra and Model Theory
Author: M Droste
Publisher: CRC Press
Total Pages: 516
Release: 2019-08-16
Genre: Mathematics
ISBN: 1000725278

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Contains 25 surveys in algebra and model theory, all written by leading experts in the field. The surveys are based around talks given at conferences held in Essen, 1994, and Dresden, 1995. Each contribution is written in such a way as to highlight the ideas that were discussed at the conferences, and also to stimulate open research problems in a form accessible to the whole mathematical community. The topics include field and ring theory as well as groups, ordered algebraic structure and their relationship to model theory. Several papers deal with infinite permutation groups, abelian groups, modules and their relatives and representations. Model theoretic aspects include quantifier elimination in skew fields, Hilbert's 17th problem, (aleph-0)-categorical structures and Boolean algebras. Moreover symmetry questions and automorphism groups of orders are covered. This work contains 25 surveys in algebra and model theory, each is written in such a way as to highlight the ideas that were discussed at Conferences, and also to stimulate open research problems in a form accessible to the whole mathematical community.

Topological Model Theory

Topological Model Theory
Author: Jörg Flum
Publisher: Springer
Total Pages: 161
Release: 2006-11-14
Genre: Mathematics
ISBN: 3540385444

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Algebraic Geometry and Geometric Modeling

Algebraic Geometry and Geometric Modeling
Author: Mohamed Elkadi
Publisher: Springer Science & Business Media
Total Pages: 252
Release: 2006-11-02
Genre: Mathematics
ISBN: 3540332758

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This book spans the distance between algebraic descriptions of geometric objects and the rendering of digital geometric shapes based on algebraic models. These contrasting points of view inspire a thorough analysis of the key challenges and how they are met. The articles focus on important classes of problems: implicitization, classification, and intersection. Combining illustrative graphics, computations and review articles this book helps the reader gain a firm practical grasp of these subjects.

Model Theory in Algebra, Analysis and Arithmetic

Model Theory in Algebra, Analysis and Arithmetic
Author: Lou van den Dries
Publisher: Springer
Total Pages: 201
Release: 2014-09-20
Genre: Mathematics
ISBN: 3642549365

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Presenting recent developments and applications, the book focuses on four main topics in current model theory: 1) the model theory of valued fields; 2) undecidability in arithmetic; 3) NIP theories; and 4) the model theory of real and complex exponentiation. Young researchers in model theory will particularly benefit from the book, as will more senior researchers in other branches of mathematics.

Model Theory and Algebraic Geometry

Model Theory and Algebraic Geometry
Author: Elisabeth Bouscaren
Publisher: Springer Science & Business Media
Total Pages: 223
Release: 1998
Genre: Mathematics
ISBN: 3540648631

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This introduction to the recent exciting developments in the applications of model theory to algebraic geometry, illustrated by E. Hrushovski's model-theoretic proof of the geometric Mordell-Lang Conjecture starts from very basic background and works up to the detailed exposition of Hrushovski's proof, explaining the necessary tools and results from stability theory on the way. The first chapter is an informal introduction to model theory itself, making the book accessible (with a little effort) to readers with no previous knowledge of model theory. The authors have collaborated closely to achieve a coherent and self- contained presentation, whereby the completeness of exposition of the chapters varies according to the existence of other good references, but comments and examples are always provided to give the reader some intuitive understanding of the subject.

Model Theory and Algebraic Geometry

Model Theory and Algebraic Geometry
Author: Elisabeth Bouscaren
Publisher:
Total Pages: 236
Release: 2014-09-01
Genre:
ISBN: 9783662194478

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Algebraic Geometry and Statistical Learning Theory

Algebraic Geometry and Statistical Learning Theory
Author: Sumio Watanabe
Publisher: Cambridge University Press
Total Pages: 295
Release: 2009-08-13
Genre: Computers
ISBN: 0521864674

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Sure to be influential, Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are singular: mixture models, neural networks, HMMs, Bayesian networks, stochastic context-free grammars are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.