Study Notes on Matrices - Precalculus Algebra | MAC 1140, Study notes of Mathematics

Material Type: Notes; Class: PRECALCULUS ALGEBRA; Subject: MATHEMATICS - CALCULUS AND PRECALCULUS; University: Florida State University; Term: Fall 2007;

Typology: Study notes

Pre 2010

Uploaded on 08/30/2009

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A matrix is in echelon form when:
1) Each row containing a non-zero number has the
number “1” appearing in the rows first non-zero column.
(Such an entry will be referred to as a “leading one”.)
2) The column numbers of the columns containing the first
non-zero entries in each of the rows strictly increases from
the first row to the last row. (Each leading one is to
the
right
of any leading one above it.)
3) Any row which contains all zeros is below the rows
which contain a non-zero entry.
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
The three conditions above will ensure that the entries
below the leading ones
(in each row which contains a non-
zero entry) are
all zeros
.
______________________________________________
A matrix is in reduced echelon form when:
in addition to the three conditions for a matrix to be in
echelon form,
the entries
above the leading ones
(in each row which
contains a non-zero entry)
are all zeros
.
_____________________________________________________________________________________________
Note that if a matrix is in Reduced Row Echelon Form
then it must also be in Echelon form.
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A matrix is in echelon form when:

  1. Each row containing a non-zero number has the number “1” appearing in the row’s first non-zero column. (Such an entry will be referred to as a “leading one”.)
  2. The column numbers of the columns containing the first non-zero entries in each of the rows strictly increases from

the first row to the last row. (Each leading one is to the

right of any leading one above it.)

  1. Any row which contains all zeros is below the rows which contain a non-zero entry. _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ The three conditions above will ensure that the entries

below the leading ones (in each row which contains a non-

zero entry) are all zeros.

______________________________________________

A matrix is in reduced echelon form when: in addition to the three conditions for a matrix to be in echelon form,

the entries above the leading ones (in each row which

contains a non _____________________________________________________________________________________________-zero entry) are all zero’s.

Note that if a matrix is in Reduced Row Echelon Form

then it must also be in Echelon form.

To Determine if a Matrix is in Reduced Row Echelon Form : Circle the first non-zero entry in each row of the matrix. Then verify that:

  1. any row with no non-zero entry is at the bottom of the matrix,
  2. the circled entries are all 1’s - and will be referred to as

“ leading one’s ”,

3) each leading one is to the right of any leading one

above it, and

4) all entries above and below the leading one’s are

zeros, that is, all other entries in the same column as a circled 1 are zeroes. If conditions 1-4 above are satisfied, then the matrix is in Reduced Row Echelon Form.

If conditions 1-4 above are satisfied, with the possible

modification to condition 4) that entries below the leading

one’s (but not necessarily above the leading one’s ) are

zeroes, then the matrix is in Echelon Form.

Any matrix can be put in an equivalent Echelon Form using elementary row operations. Such a matrix is not unique.

For instance, the two (elementary row) equivalent matices below are both in echelon form: 1 2 3 0 1 2

"^ #^

%^ & R 1 =! 2 R 2 + R 1

1 0! 1 0 1 2

" #^ $^

% &^ '

However, the equivalent matrix in Reduced Row Echelon Form is unique.