290x Filetype PDF File size 1.16 MB Source: courses.smp.uq.edu.au
MATH1051
CALCULUS
AND
LINEAR ALGEBRA I
Semester 1, 2008
Lecture Workbook Solutions
How to use this workbook
This book should be taken to lectures, tutorials and lab sessions. In the lectures,
you will be expected to fill in the blanks in any incomplete definitions, theorems
etc, and any examples which appear. The lecturer will make it clear when they
are covering something that you need to complete.
The completed workbook will act as a study guide designed to assist you in
working through assignments and preparing for the mid-semester and final ex-
ams. For this reason, it is very important to attend lectures.
The text for the calculus part of the course is “Calculus” by James Stewart,
6th edition, 2008. We often refer to the text in this workbook, and many of the
definitions, theorems, and examples come from the text. (References are also
provided for the 5th edition). It is strongly advised that you purchase a copy.
Although there is no set text for the linear algebra part of the course, there
are several books in the library which cover the material well (see the course
website).
c
Mathematics, School of Physical Sciences, The University of Queensland, Brisbane QLD 4072, Australia
Edited by Phil Isaac, Birgit Loch, Joseph Grotowski, Mary Waterhouse, Victor Scharaschkin, Barbara Maen-
haut. July 2007.
1
Contents
1 Complex Numbers 9
1.1 Notation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
1.2 Complex Numbers . . . . . . . . . . . . . . . . . . . . . . . . . 9
1.3 Polar form . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
1.4 Euler’s formula . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
2 Vectors 13
2.1 Revision . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
2.2 Review Problems . . . . . . . . . . . . . . . . . . . . . . . . . . 20
3 Matrices and Linear Transformations 24
3.1 2×2matrices . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
3.2 Transformations of the plane . . . . . . . . . . . . . . . . . . . . 24
3.3 Translations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
3.4 Linear transformations . . . . . . . . . . . . . . . . . . . . . . . 26
3.5 Visualizing linear transformations . . . . . . . . . . . . . . . . . 27
3.6 Scalings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
3.7 Rotations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
3.8 Reflections . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
3.9 Composing Linear Transformations; Matrix Multiplication . . . 34
3.10 Vectors in Rn . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
3.11 Properties of Dot Product . . . . . . . . . . . . . . . . . . . . . 37
3.12 Definition: Matrix . . . . . . . . . . . . . . . . . . . . . . . . . 37
3.13 Equality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
3.14 Addition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
3.15 Scalar Multiplication . . . . . . . . . . . . . . . . . . . . . . . . 38
3.16 Matrix Multiplication . . . . . . . . . . . . . . . . . . . . . . . . 39
3.17 Transposition . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
2
4 Vector Spaces 43
4.1 Linear combinations . . . . . . . . . . . . . . . . . . . . . . . . 43
4.2 Linear Independence . . . . . . . . . . . . . . . . . . . . . . . . 44
4.3 How to test for linear independence . . . . . . . . . . . . . . . . 44
4.4 Vector spaces . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
4.5 The span of vectors . . . . . . . . . . . . . . . . . . . . . . . . . 50
4.6 Bases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
4.7 Dimension . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
4.8 Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
4.9 Further Properties of Bases . . . . . . . . . . . . . . . . . . . . 56
4.10 Orthogonal and Orthonormal . . . . . . . . . . . . . . . . . . . 57
4.11 Gram-Schmidt Algorithm . . . . . . . . . . . . . . . . . . . . . 59
5 Inverses 62
5.1 The Identity Matrix . . . . . . . . . . . . . . . . . . . . . . . . 62
5.2 Definition: Inverse . . . . . . . . . . . . . . . . . . . . . . . . . 63
5.3 Invertible Matrices and Linear Independence . . . . . . . . . . . 65
6 Gaussian elimination 71
6.1 Simultaneous equations . . . . . . . . . . . . . . . . . . . . . . . 71
6.2 Gaussian elimination . . . . . . . . . . . . . . . . . . . . . . . . 72
6.3 The general solution . . . . . . . . . . . . . . . . . . . . . . . . 82
6.4 Gauss-Jordan elimination . . . . . . . . . . . . . . . . . . . . . 85
7 Determinants 90
7.1 Definition: Determinant . . . . . . . . . . . . . . . . . . . . . . 90
7.2 Properties of Determinants . . . . . . . . . . . . . . . . . . . . . 92
7.3 Connection with inverses and systems of linear equations . . . . 97
8 Vector Products in 3-Space 99
8.1 Definition: Cross product . . . . . . . . . . . . . . . . . . . . . 99
8.2 Application: area of a triangle . . . . . . . . . . . . . . . . . . . 102
8.3 Scalar Triple Product . . . . . . . . . . . . . . . . . . . . . . . . 104
8.4 Geometrical Interpretation . . . . . . . . . . . . . . . . . . . . . 104
3
9 Eigenvalues and eigenvectors 106
9.1 Eigenvalues . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106
9.2 Eigenspace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107
9.3 How to find eigenvalues . . . . . . . . . . . . . . . . . . . . . . . 107
10 Numbers 114
10.1 Number systems . . . . . . . . . . . . . . . . . . . . . . . . . . 114
10.2 Real number line and ordering on R . . . . . . . . . . . . . . . . 114
10.3 Definition: Intervals . . . . . . . . . . . . . . . . . . . . . . . . . 115
10.4 Absolute value . . . . . . . . . . . . . . . . . . . . . . . . . . . 116
11 Functions 119
11.1 Notation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119
11.2 Definition: Function, domain, range . . . . . . . . . . . . . . . . 119
11.3 Graphs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120
11.4 Convention (domain) . . . . . . . . . . . . . . . . . . . . . . . . 121
11.5 Caution (non-functions) . . . . . . . . . . . . . . . . . . . . . . 121
11.6 Vertical line test . . . . . . . . . . . . . . . . . . . . . . . . . . . 122
11.7 Exponential functions . . . . . . . . . . . . . . . . . . . . . . . . 123
11.8 Trigonometric functions (sin, cos, tan) . . . . . . . . . . . . . . 126
11.9 Composition of functions . . . . . . . . . . . . . . . . . . . . . . 131
11.10One-to-one (1-1) functions - Stewart, 6ed. pp. 385-388; 5ed.
pp. 413-417 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131
11.11Inverse Functions . . . . . . . . . . . . . . . . . . . . . . . . . . 133
11.12Logarithms - Stewart, 6ed. p. 405; 5ed. p. 434 . . . . . . . . . . 135
11.13Natural logarithm . . . . . . . . . . . . . . . . . . . . . . . . . . 135
11.14Inverse trigonometric functions . . . . . . . . . . . . . . . . . . 138
12 Limits 146
12.1 Definition: Limit - Stewart, 6ed. p. 66; 5ed. p. 71 . . . . . . . . 146
12.2 One-sided limits . . . . . . . . . . . . . . . . . . . . . . . . . . . 150
12.3 Theorem: Squeeze principle . . . . . . . . . . . . . . . . . . . . 152
12.4 Limits as x approaches infinity . . . . . . . . . . . . . . . . . . . 153
12.5 Some important limits . . . . . . . . . . . . . . . . . . . . . . . 157
4
no reviews yet
Please Login to review.