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Category Theory: Invariances and Symmetries in Computer Science

โœ Scribed by Zoran Majkic


Publisher
De Gruyter
Year
2023
Tongue
English
Leaves
436
Category
Library

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โœฆ Synopsis


This book analyzes the generation of the arrow-categories of a given category, which is a foundational and distinguishable Category Theory phenomena, in analogy to the foundational role of sets in the traditional set-based Mathematics, for defi nition of natural numbers as well. This inductive transformation of a category into the infinite hierarchy of the arrowcategories is extended to the functors and natural transformations. The author considers invariant categorial properties (the symmetries) under such inductive transformations. The book focuses in particular on Global symmetry (invariance of adjunctions) and Internal symmetries between arrows and objects in a category (in analogy to Field Theories like Quantum Mechanics and General Relativity). The second part of the book is dedicated to more advanced applications of Internal symmetry to Computer Science: for Intuitionistic Logic, Untyped Lambda Calculus with Fixpoint Operators, Labeled Transition Systems in Process Algebras and Modal logics as well as Data Integration Theory.

  • Introduces Category Theory to Computer Scientists.
  • Contains advanced applications for Intuitionistic Logic, Untyped Lambda Calculus with Fixpoint Operators, Labeled Transition Systems in Process Algebras and Modal logics, Data Integration Theory.

โœฆ Table of Contents


Preface
Dependencies between the chapters
Detailed plan
Acknowledgments and short history of this book
Notation conventions
Contents
1 Basic transformations of categories: Hierarchy of n-dimensional levels
2 Comma-propagation transformations: Global categorial symmetries
3 Arrows-to-objects conceptual transformation: Internal categorial symmetry
4 Internal symmetry and logical deduction
5 Internal symmetry and lambda calculus
6 Internal symmetry and theory of processes: Strong bisimulation of computation trees
7 Internal symmetry and data integration theory
A Appendix
Bibliography
Index


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