Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
Updated edition with 40% new content with a new and more logical structure
Features important material that was not in the first edition, including but not limited to the Dunford decomposition, tensor calculus, stable and unstable subspaces, Weyl inequalities, and von Neumann’s Inequality
Includes an abundance of new exercises
In this book, Denis Serre begins by providing a clean and concise introduction to the basic theory of matrices. He then goes on to give many interesting applications of matrices to different aspects of mathematics and also other areas of science and engineering. With forty percent new material, this second edition is significantly different from the first edition.
Newly added topics include:
• Dunford decomposition,
• tensor and exterior calculus, polynomial identities,
• regularity of eigenvalues for complex matrices,
• functional calculus and the Dunford–Taylor formula,
• numerical range,
• Weyl's and von Neumann’s inequalities, and
• Jacobi method with random choice.
The book mixes together algebra, analysis, complexity theory and numerical analysis. As such, this book will provide many scientists, not just mathematicians, with a useful and reliable reference. It is intended for advanced undergraduate and graduate students with either applied or theoretical goals. This book is based on a course given by the author at the École Normale Supérieure de Lyon.
Content Level »Graduate
Keywords »Approximation of eigenvalues - Determinant, Pfaffian - Eigenvalue - Eigenvalues, localization - Exponential, clas - Functional calculus - Invariant theory - Matrix - Multilinear Algebra - Normal form - Numerical range - Singular values - Tensor and exterior calculus - linear algebra - numerical analysis