Linear Algebra by Shilov: A Comprehensive Guide for Undergraduates | Amazon Link

In summary, "Linear Algebra" by G.E. Shilov is a comprehensive textbook covering a range of topics in linear algebra, including determinants, linear spaces, systems of linear equations, linear functions, coordinate transformations, canonical forms, bilinear and quadratic forms, Euclidean and unitary spaces, and finite-dimensional algebras. The book also includes helpful hints and answers, as well as a bibliography and index. While some readers may find the book too focused on computational aspects, others appreciate the balance between abstract concepts and practical applications.

For those who have used this book

  • Lightly Recommend

    Votes: 0 0.0%
  • Lightly don't Recommend

    Votes: 0 0.0%
  • Strongly don't Recommend

    Votes: 0 0.0%

  • Total voters
    3
  • #1
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Table of Contents:
Code:
[LIST]
[*] Determinants
[LIST]
[*] Number Fields
[*] Problems of the Theory or Systems or Linear Equations
[*] Determinants of Order [itex]n[/itex]
[*] Properties of Determinants
[*] Cofactors and Minors
[*] Practical Evaluation of Determinants
[*] Cramer's Rule
[*] Minors of Arbitrary Order. Laplace's Theorem
[*] Linear Dependence between Columns
[*] Problems
[/LIST][*] Linear Spaces
[LIST]
[*] Definitions
[*] Linear Dependence
[*] Bases, Components, Dimension
[*] Subspaces 
[*] Linear Manifolds 
[*] Hyperplanes 
[*] Morphisms of Linear Spaces
[*] Problems
[/LIST][*] Systems of Linear Equations
[LIST]
[*] More on the Rank of a Matrix 
[*] Nontrivial Compatibility of a Homogeneous Linear System 
[*] The Compatibility Condition for a GeneraI Linear System 
[*] The Generai Solution of a Linear System 
[*] Geornetric Properties of the Solution Space 
[*] Methods for CaJculating the Rank or a Matrix 
[*] Problems
[/LIST][*] Linear Functions of a Vector Argument
[LIST]
[*] Linear Forrns
[*] Linear Operators 
[*] Sums and Products of Linear Operators 
[*] Corresponding Operations on Matrices 
[*] Further Properties of Matrix Multiplication 
[*] The Range and Null Space or a Linear Operator 
[*] Linear Operators Mapping a Space [itex]\mathbb{K}_n[/itex] into Itself 
[*] Invariant Subspaces 
[*] Eigenvectors and Eigenvalues 
[*] Problems
[/LIST][*] Coordinate Transformations
[LIST]
[*] Transformation to a New Basis
[*] Consecutive Transformations 
[*] Transformation of the Components of a Vector 
[*] Transformation of the Coefficients of a Linear Form 
[*] Transformation of the Matrix of a Linear Operator 
[*] Tensors 
[*] Problems 
[/LIST][*] The Canonical Form of the Matrix of a Linear Operator
[LIST]
[*] Canonical Form of the Matrix of a Nilpotent Operator
[*] Algebras. The Algebra of Polynomials 
[*] Canonical Form of the Matrix of an Arbitrary Operator 
[*] Elementary Divisors 
[*] Further Implications 
[*] The Real Jordan Canonical F orrn 
[*] Spectra, Jets and Polynomials 
[*] Operator Functions and Their Matrices 
[*] Problems
[/LIST][*] Bilinear and Quadratic Forms
[LIST]
[*] Bilinear Forms
[*] Quadratic Forms 
[*] Reduction of a Quadratic Form to Canonical Form 
[*] The Canonical Basis of a Bilinear Form 
[*] Construction of a Canonical Basis by Jacobi's Method 
[*] Adjoint Linear Operators 
[*] Isomorphism of Spaces Equipped with a Bilinear Form 
[*] Multilinear Forms
[*] Bilinear and Quadratic Forms in a Real Space
[*] Problems
[/LIST][*] Euclidean Spaces
[LIST] 
[*] Introduction
[*] Definition of a Euclidean Space
[*] Basic Metric Concepts 
[*] Orthogonal Bases 
[*] Perpendiculars 
[*] The Orthogonalization Theorem 
[*] The Gram Determinant 
[*] Incompatible Systems and the Method of Least Squares 
[*] Adjoint Operators and Isometry 
[*] Problems
[/LIST][*] Unitary Spaces
[LIST]
[*] Hermitian Forms
[*] The Scalar Product in a Complex Space 
[*] Normal Operators 
[*] Applications to Operator Theory in Euclidean Space 
[*] Problems
[/LIST][*] Quadratic Forms in Euclidean and Unitary Spaces
[LIST] 
[*]Basic Theorem on Quadratic Forms in a Euclidean Space
[*] Extremal Properties of a Quadratic Form 
[*] Simultaneous Reduction of Two Quadratic Forms 
[*] Reduction of the Generai Equation of a Quadric Surface 
[*] Geometric Properties of a Quadric Surface
[*] Analysis of a Quadric Surface from Its GeneraI Equation 
[*] Hermitian Quadratic Forms 
[*] Problems 
[/LIST][*] Finite-dimensional Algebras and Their Representations
[LIST]
[*] More on Algebras
[*] Representations of Abstract Algebras 
[*] Irreducible Representations and Schurs Lemma 
[*] Basic Types or Finite-Dimensional Algebras 
[*] The Left Regular Representation of a Simple Algebra 
[*] Structure of Simple Algebras 
[*] Structure of Semisimple Algebras 
[*] Representations or Simple and Semisimple Algebras 
[*] Some Further Results 
[*] Problems
[/LIST][*] Appendix: Categories of Finite-Dimensional Spaces
[LIST]
[*] Introduction 
[*] The Case or Complete Algebras 
[*] The Case of One-Dimensional Algebras 
[*] The Case of Simple Algebras 
[*] The Case of Complete Algebras of Diagonal Matrices 
[*] Categories and Direct Sums
[/LIST][*] Hints and Answers[*] Bibliography[*] Index
[/LIST]
 
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  • #2
I'm not a huge fan of this book. While it has some nice explanations, the coordinates are overwhelming! Sums and bases and indices, oh my! E.g. determinants make up the first chapter, which strikes me as odd, and as such, the chapter ends up very computational--he hasn't even defined a linear map at this point.

For an introduction to linear algebra, I'd prefer the relevant chapters of Artin, or maybe Hoffman/Kunze.
 
  • #3
I'm learning linear algebra from this book (meaning no previous exposure to the subject) and so far I love it! I like how he has computational material/problems in additional to the very high-level abstract stuff. Makes the book feel very "balanced". Granted, I haven't gotten that far into it, but so far it's been very easy to learn from.
 

Related to Linear Algebra by Shilov: A Comprehensive Guide for Undergraduates | Amazon Link

1. What is the purpose of studying Linear Algebra by Shilov?

The purpose of studying Linear Algebra by Shilov is to gain a deep understanding of the fundamental concepts of linear algebra, such as vector spaces, linear transformations, and eigenvalues. This knowledge is essential for many areas of mathematics and science, including physics, computer science, and engineering.

2. Is Linear Algebra by Shilov suitable for beginners?

While some background in mathematics is helpful, Linear Algebra by Shilov is suitable for both beginners and more advanced students. The book covers the basic concepts in a clear and concise manner, making it accessible to those new to the subject.

3. What sets Linear Algebra by Shilov apart from other linear algebra textbooks?

Linear Algebra by Shilov is known for its rigorous and thorough approach to the subject. It provides a solid foundation in the key concepts and also includes a wide range of applications, making it a comprehensive resource for students and researchers.

4. Are there any prerequisites for understanding Linear Algebra by Shilov?

A basic understanding of algebra and calculus is helpful for understanding Linear Algebra by Shilov. It is also recommended that students have some familiarity with mathematical proofs and abstract concepts.

5. Does Linear Algebra by Shilov have practical applications?

Yes, Linear Algebra by Shilov has many practical applications in fields such as physics, engineering, computer science, and statistics. It provides the necessary tools for solving systems of equations, analyzing data, and understanding complex structures in various applications.

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