Introduction to Vectors

A Vector is a quantity that has a magnitude and a direction. This differs from a Scalar quantity that only has a magnitude.

Some examples with unts are shown below:

Name Quantity Vector/Scalar
Speed \(12 \; \left[\cfrac{\text{m}}{\text{s}}\right]\) Scalar
Velocity \(25 \; \left[\cfrac{\text{m}}{\text{s}}\right] \; 110^\circ\) Vector
Area \(500 \; [\text{cm}^2]\) Scalar
Temperature \(22 \; [^\circ C]\) Scalar
Force \(45 \; [\text{N}] \; 20^\circ \; S \; of \; E\) Vector
Acceleration \(\left<2, 3, -5\right> \left[\cfrac{\text{m}}{\text{s}^2}\right]\) Vector
Distance \(89 \;[\text{mm}]\) Scalar
Displacement \(100 \; [\text{m}] \; W\) Vector


A quantity is described as "10 units upwards". Is this quantity a scalar or a vector?

This quantity has both a magnitude \(10\) and direction \(upwards\) and thus is a vector.


You can see some quantities are very similar (such as distance and displacement or speed and velocity) but some are vectors. Vectors are important because quantities interact in space. For example, if two athletes start running at the same location but one person runs East and another runs North, even after they both run \(1 \; [\text{km}]\) (distance) they are nowhere near each other because there displacements differ (\(1 \; [\text{km}] \; E\) vs \(1 \; [\text{km}] \; N\)). Without the directional information, you might think the runners are next to each other.

We need to understand how vectors interact. Consider a game of tug of war. If both teams exert a force of \(100 \; [\text{N}]\), the pulling will cancel out and neither team will be winning. This can be understood by realizing forces are vectors!



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Scalar vs Vector

Try to match the following quanities to their correct description.

\(12 \; [\frac{m}{s}]\)

Area

Temperature

\(25 \; [\frac{m}{s}] \; 110^\circ\)

Force

Acceleration

Concentration

Perimeter

Volume

Work

Pounds

Current

Torque

Pressure

Density

Drag

Friction

Tension

Gravity

Scalar

Vector


Vector Notation

Vectors are represented as letters with arrows on top such as \( \vec{u} \). A vector can be made between two points, the Initial Point (or Tail) and Terminal Point (or Head) like \( \vec{AB} \). In some textbooks, vectors are just bolded like \( \textbf{u} \) or \( \textbf{AB} \). Vectors can also be represented by showing the quantities along each direction (\(x\), \(y\), etc) such as \((-1,2)\) or \( \left<1,1, -7\right> \). Scalars are represented as single numbers or letters like \(5\) or \(u\).

Sometimes, just the magnitude portion of the vector is required using the notation \( |\vec{u}| \) or \( ||\vec{u}|| \).


What is the magnitude of \( \vec{u}=9 \; \left[\cfrac{\text{m}}{\text{s}}\right] \; N \)?

The magnitude of a vector simply omits the directional part:

\(|\vec{u}| = 9 \)

The magnitude of a vector given in component form can be found using Pythagorean theorem:

\( |\left<4, -5\right>| = \sqrt{(4)^2+(-5)^2}\)

\(= \sqrt{(16)+(25)} \)

\(= \sqrt{41} \)

Vector in component form with magnitude of √41.

Therefore, we can determine magnitude of the vector in component form is \(\boldsymbol{\sqrt{41}}\).


What is the magnitude of \( \vec{u} = \left<5, 8, 9, -2, -1\right> \)?

As the Pythagorean theorem can be expanded to 5 dimensions, we can apply it to determine the magnitude of the vector:

\( |\vec{u}| = \sqrt{(5)^2+(8)^2+(9)^2+(-2)^2+(-1)^2}\)

\(= \sqrt{175}\)

\(= 5\sqrt{7}\)

Therefore, we can determine the magnitude of the vector is \(\boldsymbol{5\sqrt{7}}\).




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Drawing Vectors

A vector can be shown as an arrow. The direction of the arrow represents the direction of the vector and the length represents the magnitude. Below, \( \vec{u} \) has a larger magnitude than \( \vec{v} \) and a different direction.

Vector AB and vectors u and v.

The direction portion of a vector can be shown in different ways.

Bearing Angles
Angle starting at North and rotated clockwise like "the bearing of A from B is \(45^\circ\)". Vector BA with a bearing angle of 45°.
Directional Angles
Described as angles from North, East, South, West like "\(20^\circ \; S\) of \( W\)". Vector with a directional angle of 20° S of W.
Math Angles
Described as angles counter-clockwise from the positive \(x\)-direction like "\(120^\circ\)". Vector with an angle of 120° counterclockwise.
Components
Described as components along each direction like "\(\left<5, -3\right>\)" or "\(5\hat \imath + -3\hat \jmath\)". Vector in the bottom-left quadrant with a horizontal component of 5 units and vertical component of 3 units.

The first three types of vectors are Geometric Vectors (magnitude and direction) and the fourth is an Algebraic Vector (components). We will learn about different strategies to work with geometric and algebraic vectors.

To convert a Geometric Vector to an Algebraic Vector we need to find the magnitude of the components in each direction. In 2-D space, use SOH CAH TOA:

\( |\vec{a}| = 20, \theta = -30^\circ \)

\(a_x = 20\cos(30^\circ) = 17.32 \)

\(a_y = -20\sin(30^\circ) = -10 \)

\(\vec{a} = \left< 17.32, -10 \right> \)

Algebraic Vector with magnitude of 20 and angle of 30° in the bottom-left quadrant of a graph.

In 3-D, use cosine angles:


\( |\vec{a}| = 20, \alpha = 60^\circ, \beta = 30^\circ, \gamma = 40^\circ \)

\(a_x = 20\cos(60^\circ) = 10\)

\(a_y = 20\cos(30^\circ) = 17.32\)

\(a_z = 20\cos(40^\circ) = 15.32\)

\(\vec{a} = \left<10, 17.32, 15.32\right> \)

3D Algebraic Vector.

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