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Category Theory Is A Branch Of Abstract Algebra With Incredibly Diverse Applications. This Text And Reference Book Is Aimed Not Only At Mathematicians, But Also Researchers And Students Of Computer Science, Logic, Linguistics, Cognitive Science, Philosophy, And Any Of The Other Fields In Which The Ideas Are Being Applied. Containing Clear Definitions Of The Essential Concepts, Illuminated With Numerous Accessible Examples, And Providing Full Proofs Of All Important Propositions And Theorems, This Book Aims To Make The Basic Ideas, Theorems, And Methods Of Category Theory Understandable To This Broad Readership. Although Assuming Few Mathematical Pre-requisites, The Standard Of Mathematical Rigour Is Not Compromised. The Material Covered Includes The Standard Core Of Categories; Functors; Natural Transformations; Equivalence; Limits And Colimits; Functor Categories; Representables; Yoneda's Lemma; Adjoints; Monads. An Extra Topic Of Cartesian Closed Categories And The Lambda-calculus Is Also Provided - A Must For Computer Scientists, Logicians And Linguists! This Second Edition Contains Numerous Revisions To The Original Text, Including Expanding The Exposition, Revising And Elaborating The Proofs, Providing Additional Diagrams, Correcting Typographical Errors And, Finally, Adding An Entirely New Section On Monoidal Categories. Nearly A Hundred New Exercises Have Also Been Added, Many With Solutions, To Make The Book More Useful As A Course Text And For Self-study.
This text investigates the foundational principles and applications of category theory as a unifying framework for mathematics, logic, and computer science. Author Steve Awodey, a professor of philosophy and mathematics, presents a rigorous yet accessible introduction to the field. By balancing conceptual clarity with formal proofs, the book provides a structured entry point for students and researchers across diverse disciplines who require a working knowledge of categorical methods.
What You Will Find
Scope Limits
Experts and academics frequently cite this work as a standard, highly readable introduction to the subject that maintains mathematical rigor without sacrificing clarity. It is widely utilized as a foundational text for both graduate-level coursework and independent study in mathematics and theoretical computer science.
Page Count:
336
Publication Date:
2010-01-01
Publisher:
Oup Oxford
ISBN-10:
0191624640
ISBN-13:
9780191624643