matrices and row operations
TRANSCRIPT
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row
nmrows
=
mnmmm
n
n
n
aaaa
a
a
a
aaa
aaa
aaa
A
321
3
2
1
333231
232221
131211
A matrix is a rectangular array of
numbers. We subscript entries to telltheir location in the array
Matrices
are
identified
by theirsize.
Matrices and Row Operations
""
""
columnthjrowthiaij
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14
51 [ ]20513
3
1
6
2
09749852
7531
4212
44
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A matrix that has the same number of rows as
columns is called a square matrix.
maindiagonal
=
44434241
34333231
24232221
14131211
aaaa
aaaa
aaaa
aaaa
A
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174242
3523
=+
=++
=+
zyx
zyx
zyx
=
741
412
523
ACoefficient matrix
If you have a system of
equations and just pick off
the coefficients and putthem in a matrix it is called a
coefficient matrix.
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174242
3523
=+
=++
=+
zyx
zyx
zyx If you take the coefficientmatrix and then add a last
column ith the constants!it is called the augmented
matrix. "ften the constants
are separated ith a line.
=
1741
2412
3523
AAugmented matrix
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We are going to work with our augmented matrix to get it in aform that will tell us the solutions to the system of equations.
The three things above are the only things we can do to the
matrix but we can do them together (i.e. we can multiply a
row by something and add it to another row).
perations that can be performed without
altering the solution set of a linear system
!. "nterchange any two rows
#. $ultiply every element in a row by a non%ero constant&. Add elements of one row to corresponding
elements of another
row
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#100
##10
###1
After we get the matrix to look like our goal' we put
the variables back in and use back substitution to
get the solutions.
We use elementary row operations to make the matrix look
like the one below. The signs ust mean there can be anynumber here***we don+t care what.
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#100
##10
###1
#se ro operations to obtain
echelon form$
1762
353
12
=++
=++
=++
zyx
zyx
zyx
1762
3153
1121
The augmented matrix
Work on this column first.
%et the & and then use itas a 'tool( to get zeros
belo it ith ro
operations.
We alreadyhave the &
here e
need it.
We)ll take ro & and multiply it by
* and add to ro + to get a ,.
-he notation for this step is
*r& r+e rite it by the ro e
replace in the matrix /see next
screen0.
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1762
0210
1121
1762
3153
1121
1762
0210
1121
3r1+ r
2
3r1 3 6 3 3
+ r2 3 5 1 3
0 1 2 0
1o e)ll use + times ro & added to ro * to get a , there.
2r1+ r
3
1520
0210
1121
2r1 2 4 2 2
+ r3 2 6 7 1
0 2 5 1
1o our first column is
like our goal.
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1520
0210
1121
r2
2r2 0 2 4 0
+ r3 0 2 5 1
0 0 1 1
2r2+ r3
1520
0210
1121
We)ll use ro + ith the &
as a tool to get a , belo it
by multiplying it by + andadding to ro *
#100
##10
###1
1o e)ll move to the second
column and do ro operations to
get it to look like our goal.
We need a & in the second
ro second column so e)ll
multiply ro + by &
1100
0210
1121
the second column is
like e need it no
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#100
##10
###1
1o e)ll move to the third
column and e see for our goal
e just need a & in the third ro
of the third column. We have it soe)ve achieved the goal and it)s
time for back substitution. We
put the variables and 2 signs
back in.
1100
0210
11213ubstitute ,& in for zin
second equation to find y
1
02
12
=
=+
=++
z
zy
zyx
x
column
y
column
z
column
equal signs ( ) 012 =+y
2=y
3ubstitute & in for zand + foryin first equation to findx.
( ) ( ) 1122 =++x
2=x
Solution i! "2 # 2 # 1$
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Solution i! "2 # 2 # 1$
1762
353
12
=++
=++
=++
zyx
zyx
zyx
-his is the only /x ! y ! z0 that
make A44 -5677 equationstrue. 4et)s check it.
( ) ( ) ( )
( ) ( ) ( )( ) ( ) ( ) 1172622
312523
11222
=++
=++
=++ -hese are all true.
%eometrically this meanse have three planes that
intersect at a point! a
unique solution.
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#100
#010
#001
This method requires no back substitution.
When you put the variables back in' you have
the solutions.
-o obtain reduced ro echelon form! you continue to domore ro operations to obtain the goal belo.
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4et)s try this method on the
problem e just did. We take the
matrix e ended up ith hen
doing ro echelon form$ 1762
353
12
=++
=++
=++
zyx
zyx
zyx
4et)s get the , e need in
the second column by
using the second ro as
a tool.
+r+r&
1o e)ll use ro * as a tool to
ork on the third column to get
zeros above the &.
#100
#010
#001
1100
0210
1121
1100
0210
1301
+r*r+
*r*r&
1100
0210
2001
1100
2010
2001
1otice hen e put the variables
and 2 signs back in e have the
solution
1#2#2 === zyx
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The process of reducing the augmented matrix to echelon
form or reduced echelon form' and the process of
manipulating the equations to eliminate variables' is called-
%aussian 7limination
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4et)s try another one$
1237
0432
6223
=+
=+
=+
zyx
zyx
zyx-he augmented matrix$
1237
0432
6223
If e subtract the second
ro from the first e)ll get
the & e need for the first
column.
r& r+
We)ll no use ro & as our
tool to get ,)s belo it.
2r&r+
1237
04326211
1237
12850
6211
7r&r*
4316100
12850
6211
We have the first column
like our goal. "n the
next screen e)ll ork
on the next column.
#100
##10
###1
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1237
0432
6223
=+
=+
=+
zyx
zyx
zyx
If e multiply the second
ro by a &89 e)ll get the
one e need in the second
column.
We)ll no use ro + as our
tool to get ,)s belo it.
1/5r+
10r+r*
4316100
12850
6211
Wait: If you put
variables and 2 signs
back in the bottom
equation is , 2 &;
a false statement:
4316100
512
5810
6211
19000
5
12
5
810
6211
#100
##10
###1
I1
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534
132
465
=
=+
=+
zyx
zyx
zyx
5134
1132
4165 "ne more$
#100
##10
###1
r& r*
2r&r+
4r&r*
5134
1132
1231
9990
3330
1231
1/3r+
9990
1110
1231
9r+r*
0000
1110
1231
"ops===last ro ended up all zeros. >ut variables and 2
signs back in and get , 2 , hich is true. -his is the
dependent case. We)ll figure out solutions on next slide.
5134
1132
1231
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0000
1110
1231
x y z
zz
zy
zx
=
+=
+=
1
2
zz
zy
zx
=
=
=
1
2
0000
1110
2101
4et)s go one step further and get a ,
above the & in the second column
3r+r&
Infinitely many solutions here zis any real number
1o restriction on z
put variables
back in
solve forx? y
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zz
zy
zx
=
+=
+=
1
2
Infinitely many solutions here zis any real number
534
132
465
=
=+
=+
zyx
zyx
zyx
What this means is that you can
choose any real number for zand
put it in to get thexand ythat goith it and these ill solve the
equation. @ou ill get as many
solutions as there are values of zto
put in /infinitely many0.
4et)s try z2 &. -hen y2 + andx2 *
( ) ( )
( ) ( )
( ) ( ) 512334
112332
412635
=
=+
=+orks in all *
4et)s try z2 ,. -hen y2 & andx2 +
( ) ( )
( ) ( )
( ) ( ) 501324
101322
401625
=
=+
=+
-he solution can be
ritten$ /z + ! z & !
z0
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Acknoledgement
" wish to thank hawna /aider from alt 0ake 1ommunity 1ollege' 2tah2A for her hard work in creating this 3ower3oint.
www.slcc.edu
hawna has kindly given permission for this resource to be downloaded
from www.mathxtc.comand for it to be modified to suit the WesternAustralian $athematics 1urriculum.
tephen 1orcoran
/ead of $athematics
t tephen+s chool 4 1arramar
www.ststephens.wa.edu.au
http://www.slcc.edu/http://www.mathxtc.com/http://www.ststephens.wa.edu.au/http://www.ststephens.wa.edu.au/http://www.mathxtc.com/http://www.slcc.edu/