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Introduction to Linear Algebra  무료배송

 
지은이 : Hong Goo Park
출판사 : 경문사
판수 : 1판(2013)
페이지수 : 500
ISBN : 978-89-6105-778-3
예상출고일 : 입금확인후 2일 이내
주문수량 :
도서가격 : 품절
   

 
Linear algebra is one of the important subjects which are treated in many areas such as the natural sciences, computer sciences, engineering, and economy, etc. Up to date linear algebra is also one of the useful theories that supply the
fundamental and systematic methods to erect those academic areas developed diversly and deeply in scholarly pursuits. According to the various different types of requirements in those areas, the contents of linear algebra have been greatly influenced. It is really difficult work that one can obtain a book containing the useful contents with these all requirements for undergraduate students. As a foundation of such a book, this book is edited toward the basic theories required in each academic area, and this book is of the form like a lecture note consisting of mainly theoretical aspects and was mainly written for a one semester course in linear algebra at the junior undergraduate level. The one of the most important aims of the book is to induce themselves to find the methods analyzing concretely vector structures of a finite dimensional
vector spaces over a given ground field, and was centered on making them understood important properties and  concepts appearing in vector spaces having more complicated structures through the use of the methods. For the purpose the book provide sufficient examples to explain the meanings inside given definitions, lemmas, propositions, and theorems and help out to solve the exercises given in each section of the book. One may omit the sections having
advanced concepts in chapters 6, 7, and 8, whenever one teaches junior undergraduate students without obstructing the flaw of the aim of the book. The contents of the book consist of eight parts. First, the book contains basic concepts with respect to the ground fields of vector spaces. In fact many other linear algebra books avoid the details of the fields, not even its definition and the related basic facts with appropriate examples. However it follows from the definite meaning of the field that one can see more easily the structures of the vector spaces, and it is very important matter how the vector space is defined on the ground fields which consists of so called scalars. For this reason, the book  introduces the basic concepts of fields in chapter 1 and matrices defined from the given ground fields together with the related problems.
In chapter 2, we investigate the basic concepts and structures of a general vector space over a field and try to expect the explicit geometric structures of vector spaces over the field through the three dimensional real vector space over
the real number system. In chapter 3, the methods to find the solution set of system of linear equations are explained more precisely together with many additional examples.From the examples, the reader can easily understand the procedure to characterize the general solution set. Next, in chapter 4, we study methods to analyze vector structures indirectly by using the linear transformations with the corresponding matrices over the fields, which preserve the given operations on the vector spaces. And, in section 4.4, we study a way changing matrices of linear transformations through the use of transitive matrices. In chapter 5, the definition of determinant of a square matrix is defined by using the cofactor expansions of row vectors or column vectors in the matrix instead of using the sign function of permutations. The reason is also precisely explained in section 5.1. Here, we study many basic properties of the deteminant. In chapter 6, to see more explicit properties for the vector structures of finite dimensional vector spaces, the inner product spaces are introduced together with the related properties. From the facts it is shown that every n-dimensional vector space over a field has the same vector structures as the n-dimension real vector space over the real number system. In chapter 7, we investigate certain vector structures of a finite dimensional vector space over a field through the eigenvalues and the eigenvectors of a square matrix, which are produced by an endomorphism on the vector space. As their applications, many important topics like diagonalizing a square matrix by a certain type of invertible matrix, particularly a symmetric matrix, are introduced in detail with many examples. The entire chapter 8 has written newly into two sections 8.1 and 8.2. The main topic of chapter 8 is to verify if every square matrix with complex entries can be represented as a block diagonal matrix, so called a matrix in Jordan canonical form (or Jordan normal form), formed of Jordan blocks. In the section
8.1 as preliminaries, ascending (Jordan) chains and descending chains produced from eigenspaces of a given square matrix are introduced precisely. They are important to characterize the Jordan canonical form of a square matrix. Through
the section 8.2, the whole procedure to get the form is described step-by-step at great length with many interesting examples and plentiful figures. -머리말 중에서-
Chapter 1 Preliminaries
1.1 Fields _2
1.2 Matrices and Matrix Operations _8

Chapter 2 Vector Spaces
2.1 Vector Spaces _24
2.2 Vectors in Euclidean Spaces _32
2.3 Subspaces _43
2.4 Bases of Vector Spaces _52

Chapter 3 Systemof Linear Equations
3.1 Gauss-Jordan Elimination Method _76
3.2 Inverse Matrix _106
3.3 Elementary Matrix Multiplications _118
3.4 Row and Column Spaces _129

Chapter 4 Linear Transformations andMatrices
4.1 Linear Transformations _146
4.2 Matrix Representations of Linear Transformations _160
4.3 Compositions of Linear Transformations and Their Matrices _170
4.4 Change of Basis _175

Chapter 5 Determinants
5.1 Definition of Determinant _184
5.2 Properties of Determinant _193
5.3 Cramer’s Rule _204

Chapter 6 Inner Products
6.1 Inner Products _212
6.2 Gram-Schmidt Theorem _223

Chapter 7 Eigenvalues and Their Applications
7.1 Cayley-Hamilton Theorem _240
7.2 Eigenvalues and Their Applications _248
7.3 Diagonalization of Square matrices _263
7.4 Diagonalization of Symmetric Matrices _279
7.5 Quadratic Forms _290

Chapter 8 JordanCanonical Forms
8.1 Jordan Chains _310
8.2 Jordan Canonical Forms _325

Answers to Exercises _375
References _481
Index _483
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