
A First Course in Linear Algebra: With Concurrent Examples by A. G. Hamilton – A Practical Guide for Undergraduate Stude
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Product Description
Introduction
Linear algebra is the cornerstone of modern mathematics, engineering, and data science. Whether you are a student stepping into the world of vector spaces and matrices for the first time or a professional brushing up on fundamentals, A First Course in Linear Algebra: With Concurrent Examples by A. G. Hamilton offers a clear and approachable path. Published by Cambridge University Press, this hardcover edition is a trusted resource for Indian students pursuing undergraduate courses in science, mathematics, or engineering. The book’s unique format places theory and worked examples side by side, making it an ideal companion for self-study or classroom use.
Book Overview
This book provides a concise yet thorough introduction to basic linear algebra, covering topics typically encountered in a first-year university course. What sets it apart is its integrated approach: each concept is immediately followed by illustrative examples that show how the theory works in practice. The author, A. G. Hamilton, focuses on applications of methods rather than abstract theorem-proving, ensuring that readers can quickly apply what they learn to solve real problems. The text is structured sequentially, allowing students to build confidence step by step. With numerous exercises at the end of each section, learners can test their understanding and reinforce key ideas.
Key Highlights
- Concurrent Examples: Every theoretical concept is paired with a worked example on the same page, so you never have to flip back and forth.
- Readable and Concise: The book is short and to the point, perfect for a first course without overwhelming detail.
- Application-Oriented: Emphasis is placed on using linear algebra methods in practical contexts, not just proving theorems.
- Self-Contained: All necessary prerequisites are covered within the text, making it accessible to students with basic high school mathematics.
- Exercises for Practice: A wide range of problems, from routine to challenging, help solidify understanding.
Inside the Book
The book is organized into clear, logical chapters. It begins with the fundamentals of systems of linear equations and matrix algebra, then moves into determinants, vector spaces, linear transformations, eigenvalues, and eigenvectors. Each chapter opens with a brief introduction and closes with a summary of key points. The unique layout places the main text on the left page and corresponding examples on the right page, allowing uninterrupted reading. This design is especially helpful for Indian students who may be balancing multiple subjects and need efficient study materials. The language is straightforward, avoiding unnecessary jargon, and the examples are drawn from diverse fields like geometry, physics, and economics.
Key Topics
- Systems of linear equations and Gaussian elimination
- Matrix operations, inverses, and rank
- Determinants and their properties
- Vector spaces, subspaces, and basis
- Linear transformations and their matrices
- Eigenvalues and eigenvectors
- Applications to differential equations and geometry
Reader Benefits
- Build Strong Foundations: Master the essential concepts that are prerequisites for advanced mathematics, machine learning, and engineering courses.
- Learn at Your Own Pace: The concurrent example format allows you to verify your understanding immediately, reducing the need for external help.
- Save Time: The concise presentation means you can cover the entire syllabus for a semester course without getting sidetracked.
- Boost Exam Performance: The numerous exercises mirror typical exam questions, giving you ample practice.
- Affordable and Durable: This hardcover edition is built to last through years of study and reference.
Learning Outcomes
By the end of this book, you will be able to solve systems of linear equations using matrix methods, understand the geometric interpretation of vectors and transformations, compute determinants and eigenvalues with confidence, and apply linear algebra to real-world problems. You will also be well-prepared for more advanced topics like abstract algebra, numerical analysis, and quantum mechanics. The book ensures that you not only know the formulas but also understand when and why to use them.
Who Should Read
- Undergraduate Students: Those pursuing B.Sc., B.A. (Mathematics), B.E., B.Tech., or B.Com. degrees will find this book perfectly aligned with their first-year syllabus.
- Self-Learners: Anyone with a curiosity about mathematics who wants a gentle but rigorous introduction to linear algebra.
- Teachers and Tutors: The clear examples make it a great resource for explaining concepts in the classroom or during tutorials.
- Professionals: Engineers, data analysts, and scientists who need to refresh their linear algebra skills for work or research.
About the Author
A. G. Hamilton is a respected mathematics educator with decades of experience teaching linear algebra to university students. His writing style is known for its clarity and practicality, focusing on making abstract ideas accessible. He has authored several textbooks that are widely used in undergraduate programs across the Commonwealth, including India. His deep understanding of student challenges is reflected in the thoughtful design of this book, which anticipates common points of confusion and addresses them with well-chosen examples.
About the Publisher
Cambridge University Press is one of the oldest and most prestigious academic publishers in the world. Established in 1534, it has a long tradition of producing high-quality educational and research materials. For Indian students, Cambridge University Press books are synonymous with authority and reliability. This hardcover edition is printed on durable paper with a sturdy binding, ensuring it withstands frequent use. The press’s commitment to academic excellence makes this book a trusted choice for serious learners.
Conclusion
A First Course in Linear Algebra: With Concurrent Examples is more than just a textbook—it is a learning companion that walks with you through every step of your journey. Its innovative format, practical focus, and affordable hardcover edition make it an indispensable addition to any student’s library. Whether you are preparing for exams, building a career in technology, or simply exploring the beauty of mathematics, this book will serve as a reliable guide. Order your copy from Bookshops.in today and take the first step toward mastering linear algebra.
Quick Summary
A First Course in Linear Algebra: With Concurrent Examples by A. G. Hamilton is a concise, example-rich textbook that demystifies linear algebra for beginners. The book covers essential topics such as matrices, vector spaces, linear transformations, determinants, eigenvalues, and eigenvectors, all presented in a practical, application-oriented style. Its unique format places worked examples on facing pages alongside the main text, allowing students to learn without flipping back and forth – a design that enhances comprehension and retention. This book is ideal for first-year undergraduate students in mathematics, engineering, physics, and related fields in India, as well as self-learners preparing for competitive exams like GATE or IIT JAM. Readers will gain a solid foundation in linear algebra methods, learn to solve systems of linear equations, and understand the geometric and algebraic significance of key concepts. By emphasizing applications over abstract theory, Hamilton makes the subject accessible and relevant. Purchasing from Bookshops.in ensures you receive a genuine, high-quality hardcover edition from Cambridge University Press, delivered across India with reliable service. Whether you are a student, teacher, or professional, this book is a valuable addition to your mathematical library.
Book Highlights
Book Specifications
| ISBN-13 | 9780521310413 |
| ISBN-10 | 0521310415 |
| Publisher | Cambridge University Press |
| Language | English |
| Dimensions | 15.24 x 1.02 x 22.86 cm |
| Weight | 240 g |
| Country | India |
| Category | Mathematics › Algebra & Trigonometry |
| Genre | Mathematics |
| Original Language | English |
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