SCALER AND VECTOR FULL INFORMATION

BASIC:::::::::::::::.......:::::::......
This is a basic, though hopefully fairly comprehensive, introduction to
working with vectors. Vectors manifest in a wide variety of ways, from
displacement, velocity and acceleration to forces and fields. This
article is devoted to the mathematics of vectors; their application in
specific situations will be addressed elsewhere.
Vectors & Scalars



In everyday conversation, when we discuss a quantity we are generally discussing a scalar quantity,
which has only a magnitude. If we say that we drive 10 miles, we are
talking about the total distance we have traveled. Scalar variables
will be denoted, in this article, as an italicized variable, such as a.

A vector quantity, or vector, provides information
about not just the magnitude but also the direction of the quantity.
When giving directions to a house, it isn't enough to say that it's 10
miles away, but the direction of those 10 miles must also be provided
for the information to be useful. Vector variables will be indicated
with a boldface variable, although it is common to see a vector denoted
with a small arrow above it.
Just as we don't say the other house is -10 miles away, the
magnitude of a vector is always a positive number, or rather the
absolute value of the "length" of the vector (although the quantity may
not be a length, it may be a velocity, acceleration, force, etc.) A
negative in front a vector doesn't indicate a change in the magnitude,
but rather in the direction of the vector. In the examples above, distance is the scalar quantity (10 miles) but displacement
is the vector quantity (10 miles to the northeast). Similarly, speed is
a scalar quantity while velocity is a vector quantity.
A unit vector is a vector that has a magnitude of one. A
vector representing a unit vector is usually also boldface, although it
will have a carat (^) above it to indicate the unit nature of the variable. The unit vector x, when written with a carat, is generally read as "x-hat" because the carat looks kind of like a hat on the variable.

The zero vector, or null vector, is a vector with a magnitude of zero. It is written as 0 in this article.

Vector Components



Vectors are generally oriented on a coordinate system, the most
popular of which is the two-dimensional Cartesian plane. The Cartesian
plane has a horizontal axis which is labeled x and a vertical axis
labeled y. Some advanced applications of vectors in physics require
using a three-dimensional space, in which the axes are x, y, and z.
This article will deal mostly with the two-dimensional system, though
the concepts can be expanded with some care to three dimensions without
too much trouble.
Vectors in multiple-dimension coordinate systems can be broken up into their component vectors. In the two-dimensional case, this results in a x-component and a y-component. The picture to the right is an example of a Force vector (F) broken into its components (F_x & F_y). When breaking a vector into its components, the vector is a sum of the components:

F = F_x + F_y

To
determine the magnitude of the components, you apply rules about
triangles that are learned in your math classes. Considering the angle theta
(the name of the Greek symbol for the angle in the drawing) between the
x-axis (or x-component) and the vector. If we look at the right
triangle that includes that angle, we see that F_x is the adjacent side, F_y is the opposite side, and F is the hypotenuse. From the rules for right triangles, we know then that:

F_x / F = cos theta and F_y / F = sin theta
which gives us
F_x = F cos theta and F_y = F sin theta

Note that the numbers here are the magnitudes of the vectors. We know
the direction of the components, but we're trying to find their
magnitude, so we strip away the directional information and perform
these scalar calculations to figure out the magnitude. Further
application of trigonometry can be used to find other relationships
(such as the tangent) relating between some of these quantities, but I
think that's enough for now.

For many years, the only mathematics that a student learns is scalar
mathematics. If you travel 5 miles north and 5 miles east, you've
traveled 10 miles. Adding scalar quantities ignores all information
about the directions.
Vectors are manipulated somewhat differently. The direction must always be taken into account when manipulating them.

Adding Components



When you add two vectors, it is as if you took the vectors and
placed them end to end, and created a new vector running from the
starting point to the end point, as demonstrated in the picture to the
right. If the vectors have the same direction, then this just means
adding the magnitudes, but if they have different directions, it can
become more complex.
You add vectors by breaking them into their components and then adding the components, as below:

a + b = c
a_x + a_y + b_x + b_y =
(a_x + b_x) + (a_y + b_y) = c_x + c_y

The two x-components will result in the x-component of the new
variable, while the two y-components result in the y-component of the
new variable.
Properties of Vector Addition



The order in which you add the vectors does not matter (as
demonstrated in the picture). In fact, several properties from scalar
addition hold for vector addition:

Identity Property of Vector Addition
a + 0 = a

Inverse Property of Vector Addition
a + -a = a - a = 0

Reflective Property of Vector Addition
a = a

Commutative Property of Vector Addition
a + b = b + a

Associative Property of Vector Addition
(a + b) + c = a + (b + c)

Transitive Property of Vector Addition
If a = b and c = b, then a = c



The simplest operation that can be performed on a vector is to multiply
it by a scalar. This scalar multiplication alters the magnitude of the
vector. In other word, it makes the vector longer or shorter.
When multiplying times a negative scalar, the resulting vector will point in the opposite direction.

Examples of scalar multiplication by 2 and -1 can be seen in the diagram...


The scalar product of two vectors is a way to multiply them
together to obtain a scalar quantity. This is written as a
multiplication of the two vectors, with a dot in the middle
representing the multiplication. As such, it is often called the dot product of two vectors.

To calculate the dot product of two vectors, you consider the
angle between them, as shown in the diagram. In other words, if they
shared the same starting point, what would be the angle measurement (theta) between them. The dot product is defined as:

a * b = ab cos theta

In other words, you multiply the magnitudes of the two vectors, then multiply by the cosine of the angle separation. Though a and b
- the magnitudes of the two vectors - are always positive, cosine
varies so the values can be positive, negative, or zero. It should also
be noted that this operation is commutative, so a * b = b * a.

In cases when the vectors are perpendicular (or theta = 90 degrees), cos theta will be zero. Therefore, the dot product of perpendicular vectors is always zero. When the vectors are parallel (or theta = 0 degrees), cos theta is 1, so the scalar product is just the product of the magnitudes.

These neat little facts can be used to prove that, if you know
the components, you can eliminate the need for theta entirely, with the
(two-dimensional) equation:

a * b = a_x b_x + a_y b_y


The vector product is written in the form a x b, and is usually called the cross product
of two vectors. In this case, we are multiplying the vectors and
instead of getting a scalar quantity, we will get a vector quantity.
This is the trickiest of the vector computations we'll be dealing with,
as it is not commutative and involves the use of the dreaded right-hand rule, which I will get to shortly.

Calculating the Magnitude



Again, we consider two vectors drawn from the same point, with the angle theta between them (see picture to right). We always take the smallest angle, so theta
will always be in a range from 0 to 180 and the result will, therefore,
never be negative. The magnitude of the resulting vector is determined
as follows:

If c = a x b, then c = ab sin theta

When the vectors are parallel, sin theta will be 0, so the vector product of parallel (or antiparallel) vectors is always zero. Specifically, crossing a vector with itself will always yield a vector product of zero.

Direction of the Vector

Now that we have the magnitude of the
vector product, we must determine what direction the resulting vector
will point. If you have two vectors, there is always a plane (a flat,
two-dimensional surface) which they rest in. No matter how they are
oriented, there's always one plane that includes them both. (This is a
basic law of Euclidean geometry.)
The vector product will be perpendicular to the plane created from
those two vectors. If you picture the plane as being flat on a table,
the question becomes will the resulting vector go up (our "out" of the
table, from our perspective) or down (or "into" the table, from our
perspective)?
The Dreaded Right-Hand Rule



In order to figure this out, you must apply what is called the right-hand rule. When I studied physics in school, I detested
the right-hand rule. Flat out hated it. Every time I used it, I had to
pull out the book to look up how it worked. Hopefully my description
will be a bit more intuitive than the one I was introduced to which, as
I read it now, still reads horribly.
If you have a x b, as in the image to the right, you will place your right hand along the length of b so that your fingers (except the thumb) can curve to point along a. In other words, you are sort of trying to make the angle theta
between the palm and four fingers of your right hand. The thumb, in
this case, will be sticking straight up (or out of the screen, if you
try to do it up to the computer). Your knuckles will be roughly lined
up with the starting point of the two vectors. Precision isn't
essential, but I want you to get the idea since I don't have a picture
of this to provide.
If, however, you are considering b x a, you will do the opposite. You will put your right hand along a and point your fingers along b.
If trying to do this on the computer screen, you will find it
impossible, so use your imagination. You will find that, in this case,
your imaginative thumb is pointing into the computer screen. That is
the direction of the resulting vector.
The right-hand rule shows the following relationship:

a x b = -b x a

Now that you have the means of finding the direction of c = a x b, you can also figure out the components of c:

c_x = a_y b_z - a_z b_y
c_y = a_z b_x - a_x b_z

c_z = a_x b_y - a_y b_x

Notice that in the case when a and b are entirely in the x-y plane (which is the easiest way to work with them), their z-components will be 0. Therefore, c_x & c_y will equal zero. The only component of c will be in the z-direction - out of or into the x-y plane - which is exactly what the right-hand rule showed us!

Final Words

Don't be intimidated by vectors. When you're first
introduced to them, it can seem like they're overwhelming, but some
effort and attention to detail will result in quickly mastering the
concepts involved. At higher levels, vectors can get extremely complex to work with.
Entire courses in college, such as linear algebra, devote a great deal
of time to matrices (which I kindly avoided in this introduction),
vectors, and vector spaces. That level of detail is beyond the
scope of this article, but this should provide the foundations
necessary for most of the vector manipulation that is performed in the
physics classroom. If you are intending to study physics in greater
depth, you will be introduced to the more complex vector concepts as
you proceed through your education.