# Introduction to Matrices .pdf

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Lectures 4 - 5- 6

Chapter 2

Introduction to Matrices

Matrix Size

Augmented matrices

Matrices are incredibly useful things that crop up in many different

applied areas. For now, you'll probably only do some elementary

manipulations with matrices, and then you'll move on to the next

topic.

Matrices were initially based on systems of linear equations.

Given the following system of equations, write the associated

augmented matrix.

2x + 3y – z = 6

–x – y – z = 9

x + y + 6z = 0

Write down the coefficients and the answer values, including all

"minus" signs. If there is "no" coefficient, then the coefficient is "1".

That is, given a system of (linear) equations, you can relate to it

the matrix (the grid of numbers inside the brackets) which contains

only the coefficients of the linear system. This is called "an

augmented matrix": the grid containing the coefficients from the

left-hand side of each equation has been "augmented" with the

answers from the right-hand side of each equation.

The entries of (that is, the values in) the matrix correspond to the

x-, y- and z-values in the original system, as long as the original

system is arranged properly in the first place. Sometimes, you'll

need to rearrange terms or insert zeroes as place-holders in your

matrix.

Given the following system of equations, write the associated

augmented matrix.

x+y=0

y+z=3

z–x=2

I first need to rearrange the system as:

x+y

=0

y+z=3

–x

+z=2

Then I can write the associated matrix as:

When forming the augmented matrix, use a zero for any entry

where the corresponding spot in the system of linear equations is

blank.

Coefficient matrices

If you form the matrix only from the coefficient values, the matrix

would look like this:

This is called "the coefficient matrix". Copyright © Elizabeth

Stapel 2003-2011 All Rights Reserved

Above, we went from a linear system to an augmented matrix. You

can go the other way, too.

Given the following augmented matrix, write the associated

linear system.

Remember that matrices require that the variables be all lined up

nice and neat. And it is customary, when you have three variables,

to use x, y, and z, in that order. So the associated linear system

must be:

x + 3y

= 4

2y – z = 5

3x

+ z = –2

The Size of a matrix

Matrices are often referred to by their sizes. The size of a matrix is

given in the form of a dimension, much as a room might be

referred to as "a ten-by-twelve room". The dimensions for a matrix

are the rows and columns, rather than the width and length. For

instance, consider the following matrix A:

Since A has three rows and four columns, the size of A is 3 × 4

(pronounced as "three-by-four").

The rows go side to side; the columns go up and down. "Row" and

"column" are technical terms, and are not interchangable. Matrix

dimensions are always given with the number of rows first,

followed by the number of columns. Following this convention, the

following matrix B:

...is 2 × 3. If the matrix has the same number of rows as columns,

the matrix is said to be a "square" matrix. For instance, the

coefficient matrix from above:

...is a 3 × 3 square matrix.

Matrix Notation / Types of Matrices

Matrix Notation and Formatting

A note regarding formatting. When you write a matrix, you must

use brackets: " [ ] ". Do not use absolute-value bars: " | | ", as they

have a different meaning in this context. Do not use parentheses

or curly braces ( " { } " ) or some other grouping symbol (or no

grouping symbol at all), as these presentations have no meaning.

A matrix is always inside square brackets. Use the correct

notation, or your answers may be counted as incorrect.

As mentioned earlier, the values contained within a matrix are

called "entries". For whatever reason, matrixes are customarily

named with capital letters, such as "A" or "B", and the entries are

named using the corresponding lower-case letters, but with

subscripts. In a matrix A, the entries will typically be named "ai,j",

where "i" is the row of A and "j" is the column of A. For instance,

given the following matrix A:

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