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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 and look like this:
A vector can be denoted by a lower-case letter with an arrow over the top (like this: ), or a bold lower-case letter (like this: ).
The magnitude, or length, of a vector is denoted by double absolute value brackets. For example, the magnitude of , is denoted by . A vector of zero length and no direction is called the zero vector. We denote the zero vector by or . 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 is the tail, and point is the head of the vector.
Vectors in Standard Position
Vectors that point in the same direction and have the same length are said to be equivalent. For example, vectors , and in the figure below are equivalent. We write .
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 will be referred to as .
Vectors and in the figure are equivalent to vector . We write . Number is called the first component of the vector (or the -component) while number is the second component (or the -component). The form is called the component form.
Vector is an example of a column vector. Occasionally, we will find that representing this vector as a row vector 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.
The approach we used in Example init:headminustail 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 of Example init:headminustail. Suppose we were to slide vector into standard position. Consider what would happen to the tail of as we do so.
What happens to the tail of the vector has to happen to the head
We subtracted from the -coordinate and added to the -coordinate of the tail. To find the new location of the head we subtract from the -coordinate of the head, and add to the -coordinate of the head. This gives us . So, the new location of the head is , and .
If you look back at what we did you will find that the components of were computed by subtracting the coordinates of the tail from the coordinates of the head
The following diagram summarizes and generalizes our findings.
Let be a vector in , with tail at point and head at point . As we slide into standard position by moving point to the origin, point travels along with point by undergoing the same horizontal and vertical shifts. We now have an equivalent vector in standard position. The diagram suggests the following formula.
“Head - Tail” Formula in Suppose a vector’s tail is at point and the vector’s head is
at , then \begin{equation} \label{headtailr2} \overrightarrow{AB}=\begin{bmatrix}b_1-a_1\\ b_2-a_2\end{bmatrix} \end{equation}
Vectors in
Definitions of standard position and component form for vectors in are analogous to their counterparts for vectors in . For example, vector in the figure below, is in standard position and can be written in component form as .
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 Suppose a vector’s tail is at point and the vector’s head is
at , then \begin{equation} \label{headtailr3} \overrightarrow{AB}=\begin{bmatrix}b_1-a_1\\ b_2-a_2\\b_3-a_3\end{bmatrix} \end{equation}
Vectors in
We cannot see for , but we can conceptualize it by generalizing what we know about and . A vector in standard position whose head is located at can be written in component form as .
Recall that we defined the zero vector as a vector that has length and no direction. In component form, the zero vector is a vector all of whose components are .
We conclude this section by stating the generalized “Head - Tail” formula.
“Head - Tail” Formula in Suppose a vector’s tail is at point and the vector’s head is
at , then \begin{equation} \label{form:headtailrn} \overrightarrow{AB}=\begin{bmatrix}b_1-a_1\\ b_2-a_2\\ \vdots \\b_n-a_n\end{bmatrix} \end{equation}
Practice Problems
Problems prob:componentform1-prob:componentform2
Sketch each pair of vectors. Express each vector in component form.
2024-09-11 17:58:03