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ФЕДЕРАЛЬНОЕ АГЕНТСТВО ПО ОБРАЗОВАНИЮ
Государственное образовательное учреждение высшего профессионального образования
«ТОМСКИЙ ПОЛИТЕХНИЧЕСКИЙ УНИВЕРСИТЕТ»
V.V. Konev
LINEAR ALGEBRA, VECTOR ALGEBRA AND
ANALYTICAL GEOMETRY
TextBook
Рекомендовано в качестве учебного пособия
Редакционно-издательским советом
Томского политехнического университета
Издательство
Томского политехнического университета
2009
UDС 517
V.V. Konev. Linear Algebra, Vector Algebra and Analytical Geometry.
Textbook. Tomsk: TPU Press, 2009, 114 pp.
This textbook consists of 3 parts devoted to the mathematical
methods of Linear Algebra and Analytical Geometry based on the vector
analysis technique. The basic concepts are explained by examples and
illustrated by figures.
The textbook is helpful for students who want to understand and be
able to use matrix operations, solve systems of linear equations, analyze
relative positions of figures, transform coordinate systems, and so on.
The textbook is designed to English speaking students.
Reviewed by: V.A. Kilin, Professor of the Higher Mathematics
Department, TPU, D.Sc.
© Konev V.V. 2001-2009
© Tomsk Polytechnic University, 2001-2009
PREFACE
This textbook is intended for students who have already studied basic
mathematics and need to study the methods of higher mathematics. It covers
three content areas: Linear Algebra, Vector Algebra and Analytical Geometry.
Each part contains basic mathematical conceptions and explains new
mathematical terms. Many useful examples and exercises are presented in the
textbook. explained and illustrated by examples and exercises.
The Linear Algebra topics include matrix operations, determinants and systems
of linear equations.
In the section “Vector Algebra”, a main attention is paid to the geometrical
applications of vector operations. The vector approach is considered to be basic
for discussion of classic problems of Analytical Geometry.
The author welcomes reader’s suggestions for improvement of future editions of
this textbook.
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CONTENTS
Preface ……………………..………………………………………… 3
Contents ……………………………………………………………….. 4
LINEAR ALGEBRA
Chapter 1. MATRICES
1.1. Basic Definitions ……………………………………………. . 7
1.2. Matrix Operations ……………………………………………. 8
1.3. Types of Matrices …………………………………………. … 12
1.4. Kronecker Delta Symbol……………………………………… 15
1.5. Properties of Matrix Operations……………………………… 16
Chapter 2. DETERMINANTS
2.1. Permutations and Transpositions……………………………… 20
2.2. Determinant General Definition ……………………………... 23
2.3. Properties of Determinants …………………………………... 25
2.4. Determinant Calculation……………………………………… 31
Chapter 3. INVERSE MATRICES
3.1. Three Lemmas ……………………………………………….. 36
3.2. Theorem of Inverse Matrix …………………………………... 38
3.2.1. Examples ……….…………………………………………. 39
3.3. Calculation of Inverse Matrices by Elementary
Transformations ……………………………………………… 42
Chapter 4. SYSTEMS OF LINEAR EQUATIONS
4.1. Matrix Rank ………………………………………………….. 43
4.2. Basic Concepts ………………………………………………. 45
4.3. Gaussian Elimination ………………………………………… 46
4.3.1. Examples ………………………………………………….. 47
4.4. Homogeneous Systems of Linear Equations………………… 50
4.4.1. Examples …………………………………………………. 51
4.5. Cramer’s Rule ……………………………………………….. 54
4.6. Cramer’s General Rule ……………………………………… 57
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