This chapter was intentionally meant to be as short as possible, so that you (the reader) can start with
the real content (starting in Chapter 2) swiftly. The
math presented in this chapter is meant as a refresher for what is
necessary to follow the rest of the book, not as an educational
material. Hence there will be no explanations of the formulae in this
chapter. To get that, we recommend you turn to books on trigonometry.
To navigate in this book, you can use the menu button in the upper left corner, and click
on links for chapters, sections, figures, etc.
In the next section, we will introduce our book's basic notation, which will not be
introduced later in this book. Hence, linear algebra specific notation,
e.g., vectors, points, matrices, etc., will be introduced throughout the book.
Finally, this introductory chapter ends with a recap of some trigonometry (Section 1.2),
which may be good to review before starting with the rest of the book.
This section describes the notation used in this book. The reader may skip this now, and check back
when needed, but it is a quick and simple read, so it may be preferable to do it before diving into the
other chapters.
Note that everything is numbered in this book. This is to make it simpler to discuss the different
equations, expressions, etc with another person. That is, you can always refer to Equation 3.12,
which means that the equation/expression is in Chapter 3, and it is the 12:th one there.
A number, in the common sense, may be positive, negative, it may have decimals, and it may even be rational or irrational.
The set of all such numbers are denoted by $\R$, and the numbers are said to be real numbers.
We often use the term a scalar or a scalar value instead of saying a real number,
and those are always denoted by lower-case letters, e.g., $j, s, t, a, m$, in this book.
They may also have subscripts, which
means that $k_1$, $k_2$ and $k_3$ are different numbers. One may also write $\sum_{i=1}^3k_i$ in order to add
$k_1$, $k_2$ and $k_3$.
The notation $k\in \R$ means that $k$ is a real number, or more precisely, that $k$ belongs to the set of all real numbers.
The absolute value of a scalar, $k$, is denoted $\abs{k}$, and is defined as
i.e., if the number is negative, the minus sign is removed.
A set is a small collection of, for example, integer numbers. A set with the numbers $1$, $2$, and $4$
is denoted: $\{1,2,4\}$. When it is desirable to have a variable, $i$, for example, that can take on
any of the members in a set, then we write: $i\in\{1,2,4\}$.
Real numbers can often take on values in a certain range. As an example if we know $x$ can take on any value
from zero to one, including zero and one, we can write $x \in [0, 1]$. A soft parenthesis marks that the end
point is not included. As examples,
This section provides a summary of some useful trigonometry concepts that will be used in this book,
and that said, it is by no means a thorough treatment of the subject.
The cosine, sine, and tangent functions are always good to have fresh in mind.
Refer to Figure 1.1.
We omit the proofs to all trigonometry in this section. Some of these formulas will be proved
in later chapters though.
The inverse functions for the cosine and sine are also important to know about.
For example, $\theta = \arcsin a$ means that $\sin \theta = a$. The function $\arcsin a$ can take on values in the range $[-\frac{\pi}{2}, \frac{\pi}{2}]$. Likewise $\theta = \arccos a$ means that $\cos \theta = a$, and $\arccos a \in [0, \pi]$.
Note however that just because $\sin \theta = a$ we cannot conclude that $\theta = \arcsin a$. As an example, $\sin 4\pi = 0$, but $\arcsin 0 = 0$, not $4\pi$. In fact $\sin \theta = a$ has an infinite number of solutions, and $\arcsin$ is only the inverse to $\sin$ within the range $[-\frac{\pi}{2}, \frac{\pi}{2}]$. However we can list all the solutions to $\sin \theta = a$ as $\theta = \arcsin(a) \pm 2 k \pi$, where $k = 0, 1, 2, 3, \ldots$ and so on.
At this point, it is time to start with the first real chapter of this book.
Click here to go to Chapter 2, or navigate using the menu at the left top corner.
Popup-help:
A systems of equations is called linear if it only contains polynomial terms of the zero:th and first order,
that is, either constants or first-order terms, such as $9x$, $-2y$, and $0.5z$.
Popup-help:
The range or the image of a mapping $F$ is the set $V_F$, where
\begin{equation}
V_F = \{F(x) | x \in N\}.
\end{equation}