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Mathematical Expression Editor
Introduction to Vectors
What is a Vector?
A scalar is a quantity that has size, often called magnitude, but no direction. For
example, temperature, mass and speed are scalars. In this course, scalars will
typically be real numbers, but we will also see complex numbers on a few
occasions.
A vector has magnitude and direction. For example, velocity is a vector
because it tells us how fast the object is traveling and also the direction of
travel.
If an object is traveling along a number line, the direction of travel is given by the
sign of its velocity (positive or negative), while the speed is given by the absolute
value of the velocity. If the object is traveling in a plane or in space, direction of
travel can be described by an arrow, while the speed can be represented by
the length of the arrow. Graphically speaking, vectors in \(\RR ^2\) and \(\RR ^3\) look like
this:
A vector can be denoted by a lower-case letter with an arrow over the top (like this: \(\overrightarrow {u}\)
), or a bold lower-case letter (like this: \(\vec {u}\)).
The magnitude, or length, of a vector is denoted by double absolute value brackets.
For example, the magnitude of \(\vec {u}\), is denoted by \(\norm {\vec {u}}\). A vector of zero length and no
direction is called the zero vector. We denote the zero vector by \(\overrightarrow {0}\) or \(\vec {0}\). Going
forward, we will use the terms magnitude of a vector and length of a vector
interchangeably.
Sometimes it is convenient to refer to a vector by naming the endpoints of the arrow.
In the figure below, point \(A\) is the tail, and point \(B\) is the head of the vector.
We refer to this vector as \(\overrightarrow {AB}\).
Vectors in Standard Position
Vectors that point in the same direction and have the same length are said to be
equivalent. For example, vectors \(\vec {u}\), \(\vec {v}\) and \(\vec {w}\) in the figure below are equivalent. We write
\(\vec {u}=\vec {v}=\vec {w}\).
For the purpose of developing standard, convenient notation, we observe that every
vector is equivalent to some vector whose tail is at the origin. Vectors with tails at
the origin are said to be in standard position. We will refer to each vector in
standard position by the coordinates of its head. For example, a vector in
standard position whose head is located at the point \((2, 1)\) will be referred to as
\(\begin{bmatrix}2\\1\end{bmatrix}\).
Vectors \(\vec {u}, \vec {v}\) and \(\vec {w}\) in the figure are equivalent to vector \(\begin{bmatrix}2\\1\end{bmatrix}\). We write \(\vec {u}=\vec {v}=\vec {w}=\begin{bmatrix}2\\1\end{bmatrix}\). Number \(2\) is called
the first component of the vector (or the \(x\)-component) while number \(1\) is the
second component (or the \(y\)-component). The form \(\begin{bmatrix}2\\1\end{bmatrix}\) is called the component
form.
Vector \(\begin{bmatrix}2\\1\end{bmatrix}\) is an example of a column vector. Occasionally, we will find that representing
this vector as a row vector\([2, 1]\) is more convenient.
Column (or row) representation of vectors in component form allows us to go beyond
the physical and geometric definition, and think of vectors more abstractly as arrays
of numbers.
Our next goal is to find a process for writing any vector in the coordinate plane in
component form.
Consider vector \(\vec {v}\) shown below. We will express \(\vec {v}\) in component form.
Note that the vector has a “run" of \(2\) and a “rise" of \(3\). If we construct a vector with tail
at the origin, a “run" of \(2\) and a “rise" of \(3\), we will have a vector in standard position
equivalent to vector \(\vec {v}\).
The component form for the vector we constructed is \(\begin{bmatrix}2\\3\end{bmatrix}\). This gives us \(\vec {v}=\begin{bmatrix}2\\3\end{bmatrix}\).
The approach
we used in Example 1 is applicable to specific vectors that can easily be visualized.
What we need now is an algebraic approach that can be generalized to higher
dimensions and more abstract situations.
Let’s return to vector \(\vec {v}\) of Example 1. Suppose we were to slide vector \(\vec {v}\) into
standard position. Consider what would happen to the tail of \(\vec {v}\) as we do so.
What happens to the tail of the vector has to happen to the head
We subtracted \(2\) from the \(x\)-coordinate and added \(1\) to the \(y\)-coordinate of the tail. To
find the new location of the head we subtract \(2\) from the \(x\)-coordinate of the head, and
add \(1\) to the \(y\)-coordinate of the head. This gives us \((4-2, 2+1)\). So, the new location of the head is
\((2, 3)\), and \(\vec {v}=\begin{bmatrix}2\\3\end{bmatrix}\).
If you look back at what we did you will find that the components of \(\vec {v}\) were
computed by subtracting the coordinates of the tail from the coordinates of the
head
The following diagram summarizes and generalizes our findings.
Let \(\overrightarrow {AB}\) be a vector in \(\RR ^2\), with tail at point \(A(a_1, a_2)\) and head at point \(B(b_1, b_2)\). As we slide \(\overrightarrow {AB}\) into
standard position by moving point \(A\) to the origin, point \(B\) travels along with point
\(A\) by undergoing the same horizontal and vertical shifts. We now have an
equivalent vector \(\overrightarrow {A'B'}\) in standard position. The diagram suggests the following
formula.
“Head - Tail” Formula in \(\RR ^2\) Suppose a vector’s tail is at point \(A(a_1, a_2)\) and the vector’s head is
at \(B(b_1, b_2)\), then
Definitions of standard position and component form for vectors in \(\RR ^3\) are
analogous to their counterparts for vectors in \(\RR ^2\). For example, vector \(\overrightarrow {OP}\) in the figure
below, is in standard position and can be written in component form as
\(\overrightarrow {OP}=\begin{bmatrix}6\\10\\7\end{bmatrix}\).
If a vector is not in standard position but the location of its head and tail are known,
a three-dimensional version of the “Head - Tail" formula can be used to express the
vector in component form.
“Head - Tail” Formula in \(\RR ^3\) Suppose a vector’s tail is at point \(A(a_1, a_2, a_3)\) and the vector’s head is
at \(B(b_1, b_2, b_3)\), then
We cannot see \(\RR ^n\) for \(n>3\), but we can conceptualize it by generalizing what we know about \(\RR ^2\)
and \(\RR ^3\). A vector \(\vec {v}\) in standard position whose head is located at \((v_1, v_2, \ldots ,v_n)\) can be written in
component form as \(\vec {v}=\begin{bmatrix}v_1\\ v_2\\ \vdots \\v_n\end{bmatrix}\).
Recall that we defined the zero vector as a vector that has length \(0\) and no direction.
In component form, the zero vector is a vector all of whose components are
\(0\).
We conclude this section by stating the generalized “Head - Tail" formula.
“Head - Tail” Formula in \(\RR ^n\) Suppose a vector’s tail is at point \(A(a_1, a_2, \ldots ,a_n)\) and the vector’s head is
at \(B(b_1, b_2, \ldots ,b_n)\), then