Linear Algebra (Dover Books on Mathematics)
Language: English
Published by Dover Publications, 1977
- Softcover
- Used

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- Title
- Linear Algebra (Dover Books on Mathematics)
- Author
- Georgi E. Shilov
- Publisher
- Dover Publications
- Publication year
- 1977
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 048663518X
- ISBN 13
- 9780486635187
- Series
- Book 58 of 303: Dover Books on Mathematics
Georgi E. Shilov, Professor of Mathematics at the Moscow State University, covers determinants, linear spaces, systems of linear equations, linear functions of a vector argument, coordinate transformations, the canonical form of the matrix of a linear operator, bilinear and quadratic forms, Euclidean spaces, unitary spaces, quadratic forms in Euclidean and unitary spaces, finite-dimensional space. Problems with hints and answers. Because it contains an abundance of problems and examples, the book will be useful for self-study as well as for the classroom.
- Accessible and User-Friendly: Comprehensive Coverage: The book covers essential topics, including determinants, linear spaces, systems of linear equations, and coordinate transformations, providing a solid foundation for advanced studies.
- Clear Advanced Material: Starts with elementary content and seamlessly transitions into advanced areas, suitable for undergraduate and graduate courses.
- Abundant Practice Problems: Includes a plethora of problems with a dedicated section for hints and answers, facilitating self-study and reinforcing learning.
- Integrated Approach: Combines algebra, geometry, and analysis for a cohesive understanding of linear algebra concepts.
- Real-World Applications: Explores bilinear and quadratic forms, Euclidean and unitary spaces, and finite-dimensional algebras, providing practical and theoretical insights.
- Educationally Rich: Perfect for self-learners and classroom settings, offering extensive examples and exercises to enhance problem-solving skills.
- Appendix and Additional Resources: The appendix on categories of finite-dimensional spaces broadens the reader’s perspective and comprehension of the subject matter.
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