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Cover of A Course in Abstract Algebra, 4th Edition

A Course in Abstract Algebra, 4th Edition

Written by V.K. Khanna & S.K Bhamri

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789 pages, about 16 hours of reading

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About this book

Designed for undergraduate and postgraduate students of mathematics the book can also be used by those preparing for various competitive examinations. The text starts with a brief introduction to results from set theory and number theory. It then goes on to cover groups, rings, vector spaces (Linear Algebra) and fields. The topics under Groups include subgroups, permutation groups, finite abelian groups, Sylow theorems, direct products, group actions, solvable and nilpotent groups. The course in Ring theory covers ideals, embedding of rings, euclidean domains, PIDs, UFDs, polynomial rings, irreducibility criteria, Noetherian rings. The section on vector spaces deals with linear transformations, inner product spaces, dual spaces, eigen spaces, diagonalizable operators etc. Under fields, algebraic extensions, splitting fields, normal and separable extensions, algebraically closed fields, Galois extensions and construction by ruler and compass are discussed. The theory has been strongly supported by numerous examples and worked out problems. There is also plenty of scope for the readers to try and solve problems on their own. NEW IN THIS EDITION • Learning Objectives and Summary with each chapter • A large number of additional worked-out problems and examples • Alternate proofs of some theorems and lemmas • Reshuffling/Rewriting of certain portions to make them more reader friendly

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Reading guide

Themes, characters and key ideas in A Course in Abstract Algebra, 4th Edition, written by Chaptra AI.

  • about 300 hours
  • advanced
  • Rigorous
  • Analytical
  • Challenging

V.K. Khanna & S.K. Bhamri's "A Course in Abstract Algebra, 4th Edition" is a comprehensive and rigorous textbook designed for undergraduate and postgraduate mathematics students, as well as those preparing for competitive examinations. Spanning nearly 800 pages, it systematically covers the core areas of abstract algebra, including groups, rings, vector spaces (linear algebra), and fields, building from foundational set and number theory concepts. The book is characterized by its strong theoretical support, numerous examples, and worked-out problems, fostering both understanding and problem-solving skills. The 4th edition introduces pedagogical enhancements such as learning objectives, summaries, additional examples, and alternative proofs to improve reader friendliness and accessibility.

A group is a non-empty set G together with a binary operation * such that for all a, b, c in G, the following axioms are satisfied: (i) Closure: a * b ∈ G, (ii) Associativity: (a * b) * c = a * (b * c), (iii) Identity element: There exists an element e ∈ G such that a * e = e * a = a for all a ∈ G, (iv) Inverse element: For each a ∈ G, there exists an element a⁻¹ ∈ G such that a * a⁻¹ = a⁻¹ * a = e.

Key themes

Abstraction and Generalization
This theme is central to abstract algebra itself. The book consistently guides the reader from specific instances (e.g., integers under addition) to generalized structures (e.g., groups), and then explores the properties that hold true across these abstractions. It teaches the power of defining structures by their axioms rather than their specific elements.
Rigor and Proof
The book places a strong emphasis on rigorous mathematical proof as the foundation of understanding. Every theorem is presented with a detailed proof, training students in logical deduction and the precise articulation of mathematical arguments. This theme is about building a solid, unshakeable conceptual framework.
Structure and Classification
A core objective of abstract algebra is to understand and classify algebraic structures. The book systematically explores the internal structures of groups, rings, and fields, identifying common patterns and developing tools (like Sylow theorems for finite groups or unique factorization domains for rings) to categorize them. This theme highlights the search for order within mathematical systems.

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