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Science & Mathematics - Advanced Linear and Matrix Algebra

Description

Book Synopsis: This textbook emphasizes the interplay between algebra and geometry to motivate the study of advanced linear algebra techniques. Matrices and linear transformations are presented as two sides of the same coin, with their connection motivating inquiry throughout the book. Building on a first course in linear algebra, this book offers readers a deeper understanding of abstract structures, matrix decompositions, multilinearity, and tensors. Concepts draw on concrete examples throughout, offering accessible pathways to advanced techniques. Beginning with a study of vector spaces that includes coordinates, isomorphisms, orthogonality, and projections, the book goes on to focus on matrix decompositions. Numerous decompositions are explored, including the Shur, spectral, singular value, and Jordan decompositions. In each case, the author ties the new technique back to familiar ones, to create a coherent set of tools. Tensors and multilinearity complete the book, with a study of the Kronecker product, multilinear transformations, and tensor products. Throughout, “Extra Topic” sections augment the core content with a wide range of ideas and applications, from the QR and Cholesky decompositions, to matrix-valued linear maps and semidefinite programming. Exercises of all levels accompany each section. Advanced Linear and Matrix Algebra offers students of mathematics, data analysis, and beyond the essential tools and concepts needed for further study. The engaging color presentation and frequent marginal notes showcase the author’s visual approach. A first course in proof-based linear algebra is assumed. An ideal preparation can be found in the author’s companion volume, Introduction to Linear and Matrix Algebra.

Details

If you're looking to take your understanding of linear algebra to the next level, then look no further than our Advanced Linear and Matrix Algebra textbook. This comprehensive guide is designed to emphasize the interplay between algebra and geometry, making the study of advanced techniques not only accessible but also engaging.

What sets our textbook apart is its unique approach to presenting matrices and linear transformations as two sides of the same coin. By establishing their connection early on, the concepts introduced in the book are immediately relatable and practical. Gone are the days of wondering when you'll ever use these abstract structures in real-world scenarios.

Starting with a solid foundation in vector spaces, including essential topics like coordinates, isomorphisms, orthogonality, and projections, our textbook gradually builds upon these concepts and delves into the fascinating realm of matrix decompositions. Through clear explanations and numerous examples, you'll explore various decompositions like the Shur, spectral, singular value, and Jordan decompositions. What's impressive is how the author weaves these novel techniques back into familiar ones, providing a cohesive set of tools for your mathematical arsenal.

But we don't stop there. The beauty of our textbook lies in its comprehensive coverage of tensors and multilinearity. With a detailed study of the Kronecker product, multilinear transformations, and tensor products, you'll gain a deeper understanding of these fundamental concepts.

What truly sets our Advanced Linear and Matrix Algebra textbook apart are the "Extra Topic" sections scattered throughout the book. These sections provide a wealth of additional ideas and applications, from the practicalities of QR and Cholesky decompositions to the relevance of matrix-valued linear maps and semidefinite programming. These insights further expand your knowledge and create connections between theory and real-world applications.

Don't miss out on this opportunity to acquire the essential tools and concepts needed for further study in mathematics and data analysis. The engaging color presentation and frequent marginal notes in the book highlight the author's visual approach, ensuring that the material remains engaging and accessible. Please click here to get your hands on our Advanced Linear and Matrix Algebra textbook today!

Disclosure: I get commissions for purchases made through links in this website