Category Theory (Oxford Logic Guides)

Steve Awodey, "Category Theory"
Oxford University Press, USA | 2006 | ISBN: 0199237182 | 320 pages | File type: PDF | 5,2 mb

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.

Download links:

[Fast Download] Category Theory (Oxford Logic Guides)

Related eBooks:
Deterministic Network Calculus
An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management
Canonical Problems in Scattering and Potential Theory Part 1: Canonical Structures in Potential Theo
Computational Aspects of General Equilibrium Theory: Refutable Theories of Value
Epidemics: Models and Data using R
Source Separation and Machine Learning
Essentials of Probabilty & Statistics for Engineers & Scientists
Permutation Groups
Families of Exponentials
Problems in Analytic Number Theory
Solutions of Ill Posed Problems
Correlation Theory of Stationary and Related Random Functions: Volume 1: Basic Results
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.