SlideShare a Scribd company logo
A matrix is singu-
lar if and only if its
determinant is 0.
Since lAl - 0, we have
2x-8-0
x:4
A matrtxAis non-singular if and only if lAl + O.
EXAMPLE 27
SOLUTION
Find the set of values of aforwhich the matrix
^: li ])
i, ,,or-rinS.rlar.
Since A is non-singular, we have lAl * 0.
lAl: (a)(3) - (2)(3)
:3a-6
Since lAl * O,wehave 3a - 6 + 0
3a*6
a*2
EXAMPLE 28
SOLUTION
Determine whether the matrix
If the matrix is singular then its determinant is 0. Let us find the determinant of the
matrix.
1 2 1
-1 2 Alissingular.
2121
,li
"l-24;
;l+'l-
"l
L(4- 3) -2(-2 6) + 1(-1 - 4)-1+ L6- s:12
1l +o the matrix is not singular.
2l
12
-1 2
21
Since
1l
3l -2l
:
12
-1 2
21
SoLvi ng equations
(Cramer's ruLe)
using determinants
Solve the simultaneous equations
artx * ap/ : bL
arrx * azz/ : b2
Equation [1] multiplied by o^ gives
azta ttx * aztatz/ : aztb,
Equation [2] multiplied by orr Bives
arrarrx * arra22/ : o
rrb,
tll
l2l
t3l
l4l
335
Equation [a]
ottazz/ -
:. y(altazz
- equation [3] gives
aztatz/ : atrbr* orrbr,
aztatz) - orr,b,- arrb,
EXAMP
SOLUTI(
{4 5i
s -ei
tfre coefl
matrix.
Try thes
lon bl
lo, brl
^, -
orrbr- orrb,
/-
Similarly, we get
lb, arr.l
lr, o,,lA':
rv
lan anl
lo^ orrl
lan anl
lo^ orrl
The coefficient matrix is the matrix formed from the coefficients
of xand y inthe equatiol'ls. For the equations
oltx * orzy,: ,bt
aztx*o22y=bz
the coefficient matrix o(Z:', Z:)
Notice that for both the r-value and the y-value, the denominator is the determinant
of the coefficient matrix.
In the numerator for the x-value, the first column of the matrix consists of the values
on the right-hand side of the coefficient equations and the second colu'mn the coef-
ficients of7.
For tfuey-value, the first column of the numerator consists of the coefficients of x and
the second column contains the values on the right-hand side.
This result is known as Cramer's rule.
The cod
matrix b
lan o'
lo^ az
4gr 03
EXAMPLE 29
SOLUTION
Solve these simultaneous equations using Cramer's rule.
2xty-3
3x-2y:1
13 1l
lr -zl -Jv
12 1l
l: -21
12 3l
tl 1l
./ 12 1l
lr -zl
-4 - 3
2-9 _
-4-3
^-a -^-r-r- - ,- 12 1 
The coefficient matrix'r (5 _2).
.'. The denominator of xand y it
lS -ll
For the numerator of x replace the
first column of the coefficient matrix
with (?).
For the numerator of y rep:lace the
second column of the coefficient
matrix with (?
)
-6-L_-7_
-7
-7_
-7
EXAIvT I
336
Hencex*L,/:1.
EXAMPLE 30
SOLUTION
(i ?)
,'
the coefficient
matrix.
I 10 sl
I -s -+l _ -40 - (-40)
Use Cramer's rule to solve the simultaneous equations
4x*5y:10
-014 s l
l: -+l
-L6 - 15 -31 Forthe n$merator of x replace
the first column of the coefficient
matrix with (i3)
For the numerator of y replace the
second columnof the coefficient
matrix with ( jg).
 -ul
refficients
14 101
^, la -8 I
- -32 - (30) _,62 1
/-A 5l- -16-15 --31 -L
Ir -41
Hencex-0,y:2.
Try these 16.6 Solve the following pairs of simultaneous equations using Cramer's rule.
(a) x*3y:5
4x*y-9
(b) 2x-4y:2
3x - 7Y : 4
:terminant
'the
values
the coef-
rts oi x and
The coefficient
matrix is
lon on are
lo^ azz aztl
ol otz oztl
Using Cramer's rule to solve three equations in three unknowns
For the set ofequations
arrx * an/ * arrz: b,
arrx * az,z/ * arrz: b,
arrx * an/ * arrz: b,
using Crarn-er's rule, we have
x-
lb, atz orrl
l', azz orrl
lb, atz arrl
lo, b| an
lo^ bz azz
lo, b3 an
lan an an|
lo^ azz orrl
lou, atz orrl
lo, arz u
tl
lo^ azz brl
lo, azz brl
lan an arcl
lo^ azz
'rrl
lat atz anl
-
lat atz anl'
lo^ azz azzl
lo, atz arrl
v:
Note the positions of b,b, b, in the numerators of x, y andz.lnthe value of x,
b,b2,b3replaces the coeficient of I and similarly for y and z.T.he denominator is the
determinant of the coefficient matrix.
lI
'[3 -ll
ilte
ltfiix
ilE
nt
EXAMPLE 31 Use Cramer's rule to solve the following simultaneous equations.
x*2y+32:1
2x-y+z-2
x*2y+z-1
337
SOLUTION By Cramer's rule
,l-; ll -,?, ll + ,li -';
'l-l ll -,?, ll+,1? -Ll 1(-3) -2(L) +3(s)
10 1
I
10 r
11 1 3l
12 2 1l
lr 1 rl o
Y:ffi-ft-0
lz-1 rl
Ir 2 rl
N ote
columns'igte.i
the,,mffi[fi,xhe
numerator, the
determinant is 0.
11 2 1l
12 -1 2l
lr 2 rllr-m
lz -1 rl
tl 2 lt
...x:Lry:0rZ
:*-0
EXAMPI
SOLUTIO
:0.
1 23
2 -1 I
1 21
| 23
2 -1 1
1 21
EXAMPLE 32
SOLUTION
Solve these simultaneous equations.
2x*y+32:1
4x-3y+z-7
x*2y+z-5
Using Cramer's rule, we have
11 1 3l
lt -3 1l
ls 2 1l
JY
12 1 3I
l+ -3 rl
lr I 1l
,l-3 1l 14
'l z 1l lr
,l-i 1l ll ll + ,1" -31
21 1( - s) (2) + 3(2e) B0
EXAMPI
SOLUTIO
For oti
'frw,
o2
on
-31 2(-s) (3)+3(11) 20
2l
12 1 3l
l+ z tl "17
1l_14 1l-,14 7l
Ir s rl 'ls rl lr rl''lr sl 2(2)-(3)+3(13) _40_ ^/ la r ,l I I rl lt il l, .l
^/
F /^ ,
^/r<
12 1 1l
l+ -3 7l
tl 2 st
H 12 1 3l
l+ -3 1l
11 2 1l
2l-3 7l 14 7l +
I 2 st tl st
2l-3 1l _ t4 lt 314 -31
t z lt lr llr n 2t
ll + ,11
li -l ?l 4-i ll- li ll . ,li -il 2(-s) - (3) + 3(11) 20
l1 2 |
14 -31
lr 2l _2e2, (13) + (11)
-60 _ .J
2(-s) (3) + 3(11) 20
Hence x- 4,y:2,2- -3.
Use Cramer's rule to solve the followirg simultaneous equations.
Cofactor r
, lozt o
-lo* o
FOro.oz
l$lia Qe
lor, %
al h
Cofactorr
laz. o
- l'rr o
(a) 3x*ay-zz-e
5x*y-z-6
2xty-32-0
(b) 4x-5y+22-6
x*y+z-2
7x*2y-22:5
338
Try these 16.7
of matricesAppLications
EXAMPLE 6S
SOLUTION
The supply function for a commodity is given by Q
s(
x) : a* * bx 'l c, where a, b
and c are constants. When x: l,the quantity supplied is 5; when x : Z,the quantity
supplied is 12; when x : 3,the quantity supplied is 23. use a matrix method to find
thevalues ofa,bandc.
q'(1) : a(l)2 + b(1) + c: 5
q'(2): a(2)2 + b(z) + c: 12
q'(3): a(3)2 + b(3) + c:23
We get three equations to solve simultaneously:
a*b*c:5
4a-f2b*c:12
9a* 3b * c:23
Writing the equations in matrix form
tr 1 1/4 /5
t; i')!):il,)
):(} 1il
',(l?)ta
r
l1
l4
le
lr 1
l+z9 3
tu:
1 1l: l" ll
Matrix of cofactors -
Hence a: 2,b : l, c - 2
The equation is q'(x) - 2x2 t, x * 2
14 1l+14 2l:_1+s 6__2
le 1l le 3l
i-l 5 -6i
I z -8 6l
-r 3 -21
EXAMPLE 61 A 160/o solution, a 22o/o solution and a 360/o solution of an acid are to be mixed to
get 300 ml of a 247o solution. If the volume of acid from the 16%o solution equals
half the volume of acid from the other two solutions, write down three equations
satisfying the conditions given and solve the equations to find how much of each
is needed.
Let.r be the volume of 160/o solution, T be the volume of 22o/o solution and z be the
volume of 360/o solution needed.
SOLUTION
Now x * y : z - 300 since the total volume is 300 ml.
0.16x * 0.22y + 0.36 z - ffiX 300 : 72
and o.t6x - *$.22y
* 0.362) - o
Therefore the equations are
x*y+z-300
0.L6x*0.22y+0.362-72
0.I6x - 0.LLy - 0.182 - 0
Writing the equations in matrix form, we have
I L 1 1 tx /300
lo.ro o.2z 0.36 llyl:lnl0.16 -0.11 -0.181zl  0/
Forming the augmented matrix, w€ get
I | 1 I 1300
I 0.16 o.2z 0.36 I zzl
o.ro -0.11 -o.1gl o/
Rr+ R,
R, +R,
300
0.06 0.20 I 24
-0.27 -0.341 -49
SOLUTII
- 0.16R1
- 0.16R1
1
ffi
R, -+ 0.06R3+ 0.27R2
lt '1 I 1300
lo 0.06 o.zo I z+l
o o o.o::ol aol
lt 1 1 /.r /300
lo 0.06 o.2o llyl:l z+l
0 0 0.03361zl 3.6/
0.03362:3.6+z:107.14
0.06y + 0.202:24
0.06y + 0.20(to7.t4) :24
y: 42.86
x*y*z:300
x * 42.86 + 107.14: 300
x: 150
Hence 150 ml of the 167o solution, 42.86mlof the22o/o solution andl07.l4ml of the
367o solution are needed.
A popular carnival band sells three types of costumes. The costumes are made at the
Mas-camp in Port-of-Spain. The owner of the band makes cheap costumes, medium-
priced costumes and expensive costumes. The making of the costumes involves
EXAMPTE 62
SOTUTION
fabric, labour, buttons and machine time. The following table shows the units of
input required per costume for each type of costume.
The owner makes the three types of costumes and uses 270 units of fabric, 1050 units
of labour and790 buttons. How many of each type of costume does the owner make?
What is the corresponding machine time used?
Let r be the number of cheap costumes made, y the number of medium-priced
costumes made, zthe number of expensive costumes made.
Since 270 units of fabrics are used we have
5x*6y+82:270
For labout we have
20x+25y*302:1050
For buttons,
L5x+20y*222-790
Writing the equations in matrix form, we have
ls 6 B /.r 1270
lzo zs aoll.zl-llosoI
15 20 221 zl  7901
Forming the augmented matrix and reducing gives:
ls 6 8
lzo 2s 30
rs zo 22
270
10s0 I
Tsol
R, -+ R,
Rr+R,
ls 6
lo 1
o z
R, -+R,
- 4R,
- 3R,
B
-2
-2
270
-30 I
-20lmlof$e
ilca 6c
modium-
lJCs
- 2R,
ls 6 8
lo 1 -2
o o 2
270
-30 I
40l
Fabric
Labour
Buttons
Machine time
We nowhave
t5 6 8 /r t270
tB [ -')lr):-lt)
The equations are
2z: 40
- z: 20
/-22: -30-y- 40: -30+y:10
5x -f 6y * 8z: 270
5x * 60 + 160 :270
x:10
Hence the owner made 10 cheap costumes, 10 medium-priced costumes and
20 expensive costumes.
Machinetimeused:7 X 10 + 9 X 10 + L2y.20:400units.
EXERCISE 1 6 B
In questions l-5, find the inverse of each matrix.
r11 ? 2F20 -Ll 3 5)
3 rt _t) n (:^ l)
s(64'I3 3l
In questions 6-10, (a) find the determinant of each matrix, (b) find the matrix of
cofactors and hence find the inverse of each matrix.
lr 1 0
6 lz 1 -rle 1 zl
14 5 -1
8 la -2 zl
e 1-il
lL 2 1
7 lo 1 rl
o o zl
14 3 -1elz 4 +l
3 2 tl
lL 0 5
10 l+ 1 ol
23+l
In questions 11-15, find the inverse of each matrix by row reduction.
I 3 1 2 t r 4 1
11 l-r 1 ol tz I z I rl
 1 3 | -2 3 tl
It 0 s t2 1 s
13 l+ I ol t4 14 i ol
234t Z3Zl
l-L 2 1
15 | I I rl
-2 1 7t
16 Solve the equation
x12l
xz 1+l
x;3 1 sl
370
:0.
t7
l8
19
23,
T,}tuk
33
24
Solve the equati
"rlhlxu
Solve the equatio, |
*
-,
lx*
Solve the equatio, I .1
lx
x2 1l
x 1l:0.
x3 1l
1 1 x*11
1 1 l:0.
1 1 x-11
x x* 1
11x
x*l 1
-0.
It 1 1
2S Findthevalues of asatisfyirgthe equation I a a * 1 a - 1
lo-1 2a a*1
-0.
Sanjeev pays TT$300 for 4 shirts and 2 pairs of trousers while Saleem pays
TT$700 for 2 shirts and 5 pairs oftrousers. If x and y represent the price ofa
shirt and a pair of trousers respectively, write a system of linear equation in
matrix form based on this information. Determine the price of a shirt and a
pair oftrousers.
Michael feeds his dogZentwith different mixtures of three types of food, A, B
and C. A scoop of each food contains the following nutrients.
Food A: 15 g of protein, 10 g carbohydrates and 20 g vitamins
Food B: 20 g of protein, 15 g carbohydrates and 10 g vitamins
Food C: 20g of protein, 10g carbohydrates and 20g vitamins
Assume that dogs require 160g of protein, 110g of carbohydrates and 150g of
vitamins. Find how many scoops of each food Michael should feed his dog daily
to satisfy their nutrient requirements.
Deanne has TT$50 000 and wishes to invest this for her retirement. She puts all
the money in a fixed deposit, trust fund and a money market fund. The amount
she puts in the money market fund is TT$10 000 more than that in the trust
fund. After one year, she receives a profit totalling TT$3000. The fixed deposit
pays 5o/o interest annually, the trust fund pays 67o annually and the money
market fund pays 7Vo ann:ually.
By denoting the amount of money invested in the fixed deposit, trust fund
and the money market fund as x, y andz respectively, form a system of linear
equations based on the information given.
Write the system of linear equations in matrix form.
Find the amount of money invested in each category of the fund.
Show that the equations
x*5y*42:19
2x-4y*z:-4
4x+6y*72:30
have a unique solution and hence find the solution by row reducing the
augmented matrix to echelon form.
rix of
371

More Related Content

What's hot

Systems of linear equations
Systems of linear equationsSystems of linear equations
Systems of linear equations
gandhinagar
 
6.5 determinant x
6.5 determinant x6.5 determinant x
6.5 determinant x
math260
 
Business Math Chapter 2
Business Math Chapter 2Business Math Chapter 2
Business Math Chapter 2
Nazrin Nazdri
 
Chapter 3: Linear Systems and Matrices - Part 1/Slides
Chapter 3: Linear Systems and Matrices - Part 1/SlidesChapter 3: Linear Systems and Matrices - Part 1/Slides
Chapter 3: Linear Systems and Matrices - Part 1/Slides
Chaimae Baroudi
 
NUMERICAL METHODS
NUMERICAL METHODSNUMERICAL METHODS
NUMERICAL METHODS
PRABHAHARAN429
 
IGCSE MATHS - Algebraic and Graph - Graph of Functions (quadratic, cubic....)
IGCSE MATHS - Algebraic and Graph - Graph of Functions (quadratic, cubic....)IGCSE MATHS - Algebraic and Graph - Graph of Functions (quadratic, cubic....)
IGCSE MATHS - Algebraic and Graph - Graph of Functions (quadratic, cubic....)
Iskandar Zulqarnain Mohd Ishak
 
Integration techniques
Integration techniquesIntegration techniques
Integration techniquesKrishna Gali
 
Semana 31 matrices álgebra uni ccesa007
Semana 31 matrices  álgebra uni ccesa007Semana 31 matrices  álgebra uni ccesa007
Semana 31 matrices álgebra uni ccesa007
Demetrio Ccesa Rayme
 
Advanced algebra
Advanced algebraAdvanced algebra
Advanced algebra
spark21
 
Module 4 exponential and logarithmic functions
Module 4   exponential and logarithmic functionsModule 4   exponential and logarithmic functions
Module 4 exponential and logarithmic functionsAya Chavez
 
Maths Revision Notes - IGCSE
Maths Revision Notes - IGCSEMaths Revision Notes - IGCSE
Maths Revision Notes - IGCSE
Rahul Jose
 
Chapter 3: Linear Systems and Matrices - Part 3/Slides
Chapter 3: Linear Systems and Matrices - Part 3/SlidesChapter 3: Linear Systems and Matrices - Part 3/Slides
Chapter 3: Linear Systems and Matrices - Part 3/Slides
Chaimae Baroudi
 
Chapter 3: Linear Systems and Matrices - Part 2/Slides
Chapter 3: Linear Systems and Matrices - Part 2/SlidesChapter 3: Linear Systems and Matrices - Part 2/Slides
Chapter 3: Linear Systems and Matrices - Part 2/Slides
Chaimae Baroudi
 
Matrices and determinants
Matrices and determinantsMatrices and determinants
Matrices and determinants
Kum Visal
 
Long division, synthetic division, remainder theorem and factor theorem
Long division, synthetic division, remainder theorem and factor theoremLong division, synthetic division, remainder theorem and factor theorem
Long division, synthetic division, remainder theorem and factor theorem
John Rome Aranas
 
Linear Equations
Linear EquationsLinear Equations
Linear Equations
Jessica Price
 
Matrices - Mathematics
Matrices - MathematicsMatrices - Mathematics
Matrices - Mathematics
Drishti Bhalla
 
Module 4 quadratic functions
Module 4 quadratic functionsModule 4 quadratic functions
Module 4 quadratic functions
dionesioable
 

What's hot (20)

Systems of linear equations
Systems of linear equationsSystems of linear equations
Systems of linear equations
 
6.5 determinant x
6.5 determinant x6.5 determinant x
6.5 determinant x
 
Systems of equations and matricies
Systems of equations and matriciesSystems of equations and matricies
Systems of equations and matricies
 
Business Math Chapter 2
Business Math Chapter 2Business Math Chapter 2
Business Math Chapter 2
 
Chapter 3: Linear Systems and Matrices - Part 1/Slides
Chapter 3: Linear Systems and Matrices - Part 1/SlidesChapter 3: Linear Systems and Matrices - Part 1/Slides
Chapter 3: Linear Systems and Matrices - Part 1/Slides
 
.Chapter7&8.
.Chapter7&8..Chapter7&8.
.Chapter7&8.
 
NUMERICAL METHODS
NUMERICAL METHODSNUMERICAL METHODS
NUMERICAL METHODS
 
IGCSE MATHS - Algebraic and Graph - Graph of Functions (quadratic, cubic....)
IGCSE MATHS - Algebraic and Graph - Graph of Functions (quadratic, cubic....)IGCSE MATHS - Algebraic and Graph - Graph of Functions (quadratic, cubic....)
IGCSE MATHS - Algebraic and Graph - Graph of Functions (quadratic, cubic....)
 
Integration techniques
Integration techniquesIntegration techniques
Integration techniques
 
Semana 31 matrices álgebra uni ccesa007
Semana 31 matrices  álgebra uni ccesa007Semana 31 matrices  álgebra uni ccesa007
Semana 31 matrices álgebra uni ccesa007
 
Advanced algebra
Advanced algebraAdvanced algebra
Advanced algebra
 
Module 4 exponential and logarithmic functions
Module 4   exponential and logarithmic functionsModule 4   exponential and logarithmic functions
Module 4 exponential and logarithmic functions
 
Maths Revision Notes - IGCSE
Maths Revision Notes - IGCSEMaths Revision Notes - IGCSE
Maths Revision Notes - IGCSE
 
Chapter 3: Linear Systems and Matrices - Part 3/Slides
Chapter 3: Linear Systems and Matrices - Part 3/SlidesChapter 3: Linear Systems and Matrices - Part 3/Slides
Chapter 3: Linear Systems and Matrices - Part 3/Slides
 
Chapter 3: Linear Systems and Matrices - Part 2/Slides
Chapter 3: Linear Systems and Matrices - Part 2/SlidesChapter 3: Linear Systems and Matrices - Part 2/Slides
Chapter 3: Linear Systems and Matrices - Part 2/Slides
 
Matrices and determinants
Matrices and determinantsMatrices and determinants
Matrices and determinants
 
Long division, synthetic division, remainder theorem and factor theorem
Long division, synthetic division, remainder theorem and factor theoremLong division, synthetic division, remainder theorem and factor theorem
Long division, synthetic division, remainder theorem and factor theorem
 
Linear Equations
Linear EquationsLinear Equations
Linear Equations
 
Matrices - Mathematics
Matrices - MathematicsMatrices - Mathematics
Matrices - Mathematics
 
Module 4 quadratic functions
Module 4 quadratic functionsModule 4 quadratic functions
Module 4 quadratic functions
 

Viewers also liked

Cramer's Rule System of Equations
Cramer's Rule System of EquationsCramer's Rule System of Equations
Cramer's Rule System of Equationskevinryanclark
 
Cramers rule
Cramers ruleCramers rule
Cramers rulemstf mstf
 
System of equations
System of equationsSystem of equations
System of equationsmariacadena
 
Solving systems of equations
Solving systems of equationsSolving systems of equations
Solving systems of equations
Hind Al Awadi
 
Cramer’s Rule OF Matrix
Cramer’s Rule OF MatrixCramer’s Rule OF Matrix
Cramer’s Rule OF MatrixAbi Malik
 
4.3 Determinants and Cramer's Rule
4.3 Determinants and Cramer's Rule4.3 Determinants and Cramer's Rule
4.3 Determinants and Cramer's Rulehisema01
 
System of equations
System of equationsSystem of equations
System of equationsmariacadena
 
Parallel algorithm in linear algebra
Parallel algorithm in linear algebraParallel algorithm in linear algebra
Parallel algorithm in linear algebra
Harshana Madusanka Jayamaha
 
Parallel algorithms for solving linear systems with block-fivediagonal matric...
Parallel algorithms for solving linear systems with block-fivediagonal matric...Parallel algorithms for solving linear systems with block-fivediagonal matric...
Parallel algorithms for solving linear systems with block-fivediagonal matric...
Ural-PDC
 
Parallel Computing
Parallel ComputingParallel Computing
Parallel Computing
Ameya Waghmare
 
Parallel Algorithm Models
Parallel Algorithm ModelsParallel Algorithm Models
Parallel Algorithm Models
Martin Coronel
 
Chapter 3 pc
Chapter 3 pcChapter 3 pc
Chapter 3 pc
Hanif Durad
 

Viewers also liked (15)

Cramer's Rule System of Equations
Cramer's Rule System of EquationsCramer's Rule System of Equations
Cramer's Rule System of Equations
 
Cramers rule
Cramers ruleCramers rule
Cramers rule
 
System of equations
System of equationsSystem of equations
System of equations
 
Solving systems of equations
Solving systems of equationsSolving systems of equations
Solving systems of equations
 
Cramer’s Rule OF Matrix
Cramer’s Rule OF MatrixCramer’s Rule OF Matrix
Cramer’s Rule OF Matrix
 
Equations Revision
Equations RevisionEquations Revision
Equations Revision
 
4.3 Determinants and Cramer's Rule
4.3 Determinants and Cramer's Rule4.3 Determinants and Cramer's Rule
4.3 Determinants and Cramer's Rule
 
System of equations
System of equationsSystem of equations
System of equations
 
Parallel algorithm in linear algebra
Parallel algorithm in linear algebraParallel algorithm in linear algebra
Parallel algorithm in linear algebra
 
Parallel algorithms for solving linear systems with block-fivediagonal matric...
Parallel algorithms for solving linear systems with block-fivediagonal matric...Parallel algorithms for solving linear systems with block-fivediagonal matric...
Parallel algorithms for solving linear systems with block-fivediagonal matric...
 
Gauss elimination
Gauss eliminationGauss elimination
Gauss elimination
 
Parallel Computing
Parallel Computing Parallel Computing
Parallel Computing
 
Parallel Computing
Parallel ComputingParallel Computing
Parallel Computing
 
Parallel Algorithm Models
Parallel Algorithm ModelsParallel Algorithm Models
Parallel Algorithm Models
 
Chapter 3 pc
Chapter 3 pcChapter 3 pc
Chapter 3 pc
 

Similar to Matrices - Cramer's Rule

1st Semester Physics Cycle (Dec-2015; Jan-2016) Question Papers
1st Semester Physics Cycle  (Dec-2015; Jan-2016) Question Papers1st Semester Physics Cycle  (Dec-2015; Jan-2016) Question Papers
1st Semester Physics Cycle (Dec-2015; Jan-2016) Question Papers
BGS Institute of Technology, Adichunchanagiri University (ACU)
 
3rd Semester Mechanical Engineering (June/July-2015) Question Papers
3rd Semester Mechanical Engineering  (June/July-2015) Question Papers3rd Semester Mechanical Engineering  (June/July-2015) Question Papers
3rd Semester Mechanical Engineering (June/July-2015) Question Papers
BGS Institute of Technology, Adichunchanagiri University (ACU)
 
Additional mathematics
Additional mathematicsAdditional mathematics
Additional mathematics
geraldsiew
 
TABREZ KHAN.ppt
TABREZ KHAN.pptTABREZ KHAN.ppt
TABREZ KHAN.ppt
TabrezKhan733764
 
Jawaban soal-latihan1mekanika
Jawaban soal-latihan1mekanikaJawaban soal-latihan1mekanika
Jawaban soal-latihan1mekanikamiranteogbonna
 
MMAC presentation 16_09_20_20_41.pptx
MMAC presentation 16_09_20_20_41.pptxMMAC presentation 16_09_20_20_41.pptx
MMAC presentation 16_09_20_20_41.pptx
Juber33
 
4th Semeste Electronics and Communication Engineering (Dec-2015; Jan-2016) Qu...
4th Semeste Electronics and Communication Engineering (Dec-2015; Jan-2016) Qu...4th Semeste Electronics and Communication Engineering (Dec-2015; Jan-2016) Qu...
4th Semeste Electronics and Communication Engineering (Dec-2015; Jan-2016) Qu...
BGS Institute of Technology, Adichunchanagiri University (ACU)
 
3rd Semester (June-2016) Computer Science and Information Science Engineering...
3rd Semester (June-2016) Computer Science and Information Science Engineering...3rd Semester (June-2016) Computer Science and Information Science Engineering...
3rd Semester (June-2016) Computer Science and Information Science Engineering...
BGS Institute of Technology, Adichunchanagiri University (ACU)
 
Brian Covello: Review on Cycloidal Pathways Using Differential Equations
Brian Covello:  Review on Cycloidal Pathways Using Differential EquationsBrian Covello:  Review on Cycloidal Pathways Using Differential Equations
Brian Covello: Review on Cycloidal Pathways Using Differential Equations
Brian Covello
 
algebra lesson notes (best).pdf
algebra lesson notes (best).pdfalgebra lesson notes (best).pdf
algebra lesson notes (best).pdf
CyprianObota
 
3rd Semester (June; July-2015) Computer Science and Information Science Engin...
3rd Semester (June; July-2015) Computer Science and Information Science Engin...3rd Semester (June; July-2015) Computer Science and Information Science Engin...
3rd Semester (June; July-2015) Computer Science and Information Science Engin...
BGS Institute of Technology, Adichunchanagiri University (ACU)
 
4th Semester (July-2016) Civil Engineering Question Paper
4th Semester (July-2016) Civil Engineering Question Paper4th Semester (July-2016) Civil Engineering Question Paper
4th Semester (July-2016) Civil Engineering Question Paper
BGS Institute of Technology, Adichunchanagiri University (ACU)
 
3rd Semester (June-2014) Computer Science and Information Science Engineering...
3rd Semester (June-2014) Computer Science and Information Science Engineering...3rd Semester (June-2014) Computer Science and Information Science Engineering...
3rd Semester (June-2014) Computer Science and Information Science Engineering...
BGS Institute of Technology, Adichunchanagiri University (ACU)
 
3rd Semester Electronics and Communication Engineering (June-2016) Question P...
3rd Semester Electronics and Communication Engineering (June-2016) Question P...3rd Semester Electronics and Communication Engineering (June-2016) Question P...
3rd Semester Electronics and Communication Engineering (June-2016) Question P...
BGS Institute of Technology, Adichunchanagiri University (ACU)
 
1.2. l1. sol of quadratic eq by factorization
1.2. l1. sol of quadratic eq by factorization1.2. l1. sol of quadratic eq by factorization
1.2. l1. sol of quadratic eq by factorization
SKY HAWKS' ACADEMY
 
4th Semeste Electronics and Communication Engineering (June-2016) Question Pa...
4th Semeste Electronics and Communication Engineering (June-2016) Question Pa...4th Semeste Electronics and Communication Engineering (June-2016) Question Pa...
4th Semeste Electronics and Communication Engineering (June-2016) Question Pa...
BGS Institute of Technology, Adichunchanagiri University (ACU)
 
1st semester chemistry stream (2015-June) Question Papers
1st semester chemistry stream (2015-June) Question Papers 1st semester chemistry stream (2015-June) Question Papers
1st semester chemistry stream (2015-June) Question Papers
BGS Institute of Technology, Adichunchanagiri University (ACU)
 

Similar to Matrices - Cramer's Rule (20)

1st Semester Physics Cycle (Dec-2015; Jan-2016) Question Papers
1st Semester Physics Cycle  (Dec-2015; Jan-2016) Question Papers1st Semester Physics Cycle  (Dec-2015; Jan-2016) Question Papers
1st Semester Physics Cycle (Dec-2015; Jan-2016) Question Papers
 
3rd Semester Mechanical Engineering (June/July-2015) Question Papers
3rd Semester Mechanical Engineering  (June/July-2015) Question Papers3rd Semester Mechanical Engineering  (June/July-2015) Question Papers
3rd Semester Mechanical Engineering (June/July-2015) Question Papers
 
Additional mathematics
Additional mathematicsAdditional mathematics
Additional mathematics
 
TABREZ KHAN.ppt
TABREZ KHAN.pptTABREZ KHAN.ppt
TABREZ KHAN.ppt
 
Jawaban soal-latihan1mekanika
Jawaban soal-latihan1mekanikaJawaban soal-latihan1mekanika
Jawaban soal-latihan1mekanika
 
M1 PART-A
M1 PART-AM1 PART-A
M1 PART-A
 
MMAC presentation 16_09_20_20_41.pptx
MMAC presentation 16_09_20_20_41.pptxMMAC presentation 16_09_20_20_41.pptx
MMAC presentation 16_09_20_20_41.pptx
 
4th Semeste Electronics and Communication Engineering (Dec-2015; Jan-2016) Qu...
4th Semeste Electronics and Communication Engineering (Dec-2015; Jan-2016) Qu...4th Semeste Electronics and Communication Engineering (Dec-2015; Jan-2016) Qu...
4th Semeste Electronics and Communication Engineering (Dec-2015; Jan-2016) Qu...
 
3rd Semester (June-2016) Computer Science and Information Science Engineering...
3rd Semester (June-2016) Computer Science and Information Science Engineering...3rd Semester (June-2016) Computer Science and Information Science Engineering...
3rd Semester (June-2016) Computer Science and Information Science Engineering...
 
Brian Covello: Review on Cycloidal Pathways Using Differential Equations
Brian Covello:  Review on Cycloidal Pathways Using Differential EquationsBrian Covello:  Review on Cycloidal Pathways Using Differential Equations
Brian Covello: Review on Cycloidal Pathways Using Differential Equations
 
algebra lesson notes (best).pdf
algebra lesson notes (best).pdfalgebra lesson notes (best).pdf
algebra lesson notes (best).pdf
 
3rd Semester (June; July-2015) Computer Science and Information Science Engin...
3rd Semester (June; July-2015) Computer Science and Information Science Engin...3rd Semester (June; July-2015) Computer Science and Information Science Engin...
3rd Semester (June; July-2015) Computer Science and Information Science Engin...
 
4th Semester (July-2016) Civil Engineering Question Paper
4th Semester (July-2016) Civil Engineering Question Paper4th Semester (July-2016) Civil Engineering Question Paper
4th Semester (July-2016) Civil Engineering Question Paper
 
3rd Semester (June-2014) Computer Science and Information Science Engineering...
3rd Semester (June-2014) Computer Science and Information Science Engineering...3rd Semester (June-2014) Computer Science and Information Science Engineering...
3rd Semester (June-2014) Computer Science and Information Science Engineering...
 
3rd Semester Electronics and Communication Engineering (June-2016) Question P...
3rd Semester Electronics and Communication Engineering (June-2016) Question P...3rd Semester Electronics and Communication Engineering (June-2016) Question P...
3rd Semester Electronics and Communication Engineering (June-2016) Question P...
 
1.2. l1. sol of quadratic eq by factorization
1.2. l1. sol of quadratic eq by factorization1.2. l1. sol of quadratic eq by factorization
1.2. l1. sol of quadratic eq by factorization
 
4th Semeste Electronics and Communication Engineering (June-2016) Question Pa...
4th Semeste Electronics and Communication Engineering (June-2016) Question Pa...4th Semeste Electronics and Communication Engineering (June-2016) Question Pa...
4th Semeste Electronics and Communication Engineering (June-2016) Question Pa...
 
Systems of linear equations; matrices
Systems of linear equations; matricesSystems of linear equations; matrices
Systems of linear equations; matrices
 
3rd semester Computer Science and Information Science Engg (2013 December) Q...
3rd  semester Computer Science and Information Science Engg (2013 December) Q...3rd  semester Computer Science and Information Science Engg (2013 December) Q...
3rd semester Computer Science and Information Science Engg (2013 December) Q...
 
1st semester chemistry stream (2015-June) Question Papers
1st semester chemistry stream (2015-June) Question Papers 1st semester chemistry stream (2015-June) Question Papers
1st semester chemistry stream (2015-June) Question Papers
 

More from Sarah Sue Calbio

Solar System Models
Solar System ModelsSolar System Models
Solar System Models
Sarah Sue Calbio
 
Newton's Second Law - The Effect of Force
Newton's Second Law - The Effect of ForceNewton's Second Law - The Effect of Force
Newton's Second Law - The Effect of Force
Sarah Sue Calbio
 
Which law review worksheet
Which law review worksheetWhich law review worksheet
Which law review worksheet
Sarah Sue Calbio
 
Newton’s laws of motion practice
Newton’s laws of motion practiceNewton’s laws of motion practice
Newton’s laws of motion practice
Sarah Sue Calbio
 
Newton's third law
Newton's third lawNewton's third law
Newton's third law
Sarah Sue Calbio
 
Newton's second law
Newton's second lawNewton's second law
Newton's second law
Sarah Sue Calbio
 
Seat belts and air bags
Seat belts and air bagsSeat belts and air bags
Seat belts and air bags
Sarah Sue Calbio
 
Sir isaac newton's first law
Sir isaac newton's first lawSir isaac newton's first law
Sir isaac newton's first law
Sarah Sue Calbio
 
Primary Programs Framework - Curriculum Integration: Making Connections
Primary Programs Framework - Curriculum Integration: Making ConnectionsPrimary Programs Framework - Curriculum Integration: Making Connections
Primary Programs Framework - Curriculum Integration: Making Connections
Sarah Sue Calbio
 
Planning Resources for Teachers in small high schools. Summer 2003
Planning Resources for Teachers in small high schools. Summer 2003Planning Resources for Teachers in small high schools. Summer 2003
Planning Resources for Teachers in small high schools. Summer 2003
Sarah Sue Calbio
 
The Understanding by Design Guide to Creating high-quality units forms and FAQs
The Understanding by Design Guide to Creating high-quality units forms and FAQsThe Understanding by Design Guide to Creating high-quality units forms and FAQs
The Understanding by Design Guide to Creating high-quality units forms and FAQs
Sarah Sue Calbio
 
Chapter16openstax
Chapter16openstaxChapter16openstax
Chapter16openstax
Sarah Sue Calbio
 
Ap2 unit6 open stax notes wave optics
Ap2 unit6 open stax notes wave opticsAp2 unit6 open stax notes wave optics
Ap2 unit6 open stax notes wave optics
Sarah Sue Calbio
 
Ap2 unit6 open stax notes geometric optics
Ap2 unit6 open stax notes geometric opticsAp2 unit6 open stax notes geometric optics
Ap2 unit6 open stax notes geometric optics
Sarah Sue Calbio
 
Ap2 unit6 open stax notes electromagnetic waves
Ap2 unit6 open stax notes electromagnetic wavesAp2 unit6 open stax notes electromagnetic waves
Ap2 unit6 open stax notes electromagnetic waves
Sarah Sue Calbio
 
Ap2 unit5 open stax notes
Ap2 unit5 open stax notesAp2 unit5 open stax notes
Ap2 unit5 open stax notes
Sarah Sue Calbio
 
College Physics for AP courses
College Physics for AP coursesCollege Physics for AP courses
College Physics for AP courses
Sarah Sue Calbio
 

More from Sarah Sue Calbio (20)

Solar System Models
Solar System ModelsSolar System Models
Solar System Models
 
Newton's Second Law - The Effect of Force
Newton's Second Law - The Effect of ForceNewton's Second Law - The Effect of Force
Newton's Second Law - The Effect of Force
 
3
33
3
 
2
22
2
 
1
11
1
 
Which law review worksheet
Which law review worksheetWhich law review worksheet
Which law review worksheet
 
Newton’s laws of motion practice
Newton’s laws of motion practiceNewton’s laws of motion practice
Newton’s laws of motion practice
 
Newton's third law
Newton's third lawNewton's third law
Newton's third law
 
Newton's second law
Newton's second lawNewton's second law
Newton's second law
 
Seat belts and air bags
Seat belts and air bagsSeat belts and air bags
Seat belts and air bags
 
Sir isaac newton's first law
Sir isaac newton's first lawSir isaac newton's first law
Sir isaac newton's first law
 
Primary Programs Framework - Curriculum Integration: Making Connections
Primary Programs Framework - Curriculum Integration: Making ConnectionsPrimary Programs Framework - Curriculum Integration: Making Connections
Primary Programs Framework - Curriculum Integration: Making Connections
 
Planning Resources for Teachers in small high schools. Summer 2003
Planning Resources for Teachers in small high schools. Summer 2003Planning Resources for Teachers in small high schools. Summer 2003
Planning Resources for Teachers in small high schools. Summer 2003
 
The Understanding by Design Guide to Creating high-quality units forms and FAQs
The Understanding by Design Guide to Creating high-quality units forms and FAQsThe Understanding by Design Guide to Creating high-quality units forms and FAQs
The Understanding by Design Guide to Creating high-quality units forms and FAQs
 
Chapter16openstax
Chapter16openstaxChapter16openstax
Chapter16openstax
 
Ap2 unit6 open stax notes wave optics
Ap2 unit6 open stax notes wave opticsAp2 unit6 open stax notes wave optics
Ap2 unit6 open stax notes wave optics
 
Ap2 unit6 open stax notes geometric optics
Ap2 unit6 open stax notes geometric opticsAp2 unit6 open stax notes geometric optics
Ap2 unit6 open stax notes geometric optics
 
Ap2 unit6 open stax notes electromagnetic waves
Ap2 unit6 open stax notes electromagnetic wavesAp2 unit6 open stax notes electromagnetic waves
Ap2 unit6 open stax notes electromagnetic waves
 
Ap2 unit5 open stax notes
Ap2 unit5 open stax notesAp2 unit5 open stax notes
Ap2 unit5 open stax notes
 
College Physics for AP courses
College Physics for AP coursesCollege Physics for AP courses
College Physics for AP courses
 

Recently uploaded

"Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe..."Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe...
SACHIN R KONDAGURI
 
PCOS corelations and management through Ayurveda.
PCOS corelations and management through Ayurveda.PCOS corelations and management through Ayurveda.
PCOS corelations and management through Ayurveda.
Dr. Shivangi Singh Parihar
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
heathfieldcps1
 
PIMS Job Advertisement 2024.pdf Islamabad
PIMS Job Advertisement 2024.pdf IslamabadPIMS Job Advertisement 2024.pdf Islamabad
PIMS Job Advertisement 2024.pdf Islamabad
AyyanKhan40
 
DRUGS AND ITS classification slide share
DRUGS AND ITS classification slide shareDRUGS AND ITS classification slide share
DRUGS AND ITS classification slide share
taiba qazi
 
How to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold MethodHow to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold Method
Celine George
 
Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.
Ashokrao Mane college of Pharmacy Peth-Vadgaon
 
Assignment_4_ArianaBusciglio Marvel(1).docx
Assignment_4_ArianaBusciglio Marvel(1).docxAssignment_4_ArianaBusciglio Marvel(1).docx
Assignment_4_ArianaBusciglio Marvel(1).docx
ArianaBusciglio
 
A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
Peter Windle
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
Thiyagu K
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
Delapenabediema
 
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptxChapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Mohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
tarandeep35
 
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat  Leveraging AI for Diversity, Equity, and InclusionExecutive Directors Chat  Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
TechSoup
 
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
IreneSebastianRueco1
 
How to Add Chatter in the odoo 17 ERP Module
How to Add Chatter in the odoo 17 ERP ModuleHow to Add Chatter in the odoo 17 ERP Module
How to Add Chatter in the odoo 17 ERP Module
Celine George
 
Aficamten in HCM (SEQUOIA HCM TRIAL 2024)
Aficamten in HCM (SEQUOIA HCM TRIAL 2024)Aficamten in HCM (SEQUOIA HCM TRIAL 2024)
Aficamten in HCM (SEQUOIA HCM TRIAL 2024)
Ashish Kohli
 
World environment day ppt For 5 June 2024
World environment day ppt For 5 June 2024World environment day ppt For 5 June 2024
World environment day ppt For 5 June 2024
ak6969907
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
MysoreMuleSoftMeetup
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
Jean Carlos Nunes Paixão
 

Recently uploaded (20)

"Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe..."Protectable subject matters, Protection in biotechnology, Protection of othe...
"Protectable subject matters, Protection in biotechnology, Protection of othe...
 
PCOS corelations and management through Ayurveda.
PCOS corelations and management through Ayurveda.PCOS corelations and management through Ayurveda.
PCOS corelations and management through Ayurveda.
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
 
PIMS Job Advertisement 2024.pdf Islamabad
PIMS Job Advertisement 2024.pdf IslamabadPIMS Job Advertisement 2024.pdf Islamabad
PIMS Job Advertisement 2024.pdf Islamabad
 
DRUGS AND ITS classification slide share
DRUGS AND ITS classification slide shareDRUGS AND ITS classification slide share
DRUGS AND ITS classification slide share
 
How to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold MethodHow to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold Method
 
Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.
 
Assignment_4_ArianaBusciglio Marvel(1).docx
Assignment_4_ArianaBusciglio Marvel(1).docxAssignment_4_ArianaBusciglio Marvel(1).docx
Assignment_4_ArianaBusciglio Marvel(1).docx
 
A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
 
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptxChapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
 
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat  Leveraging AI for Diversity, Equity, and InclusionExecutive Directors Chat  Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
 
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
 
How to Add Chatter in the odoo 17 ERP Module
How to Add Chatter in the odoo 17 ERP ModuleHow to Add Chatter in the odoo 17 ERP Module
How to Add Chatter in the odoo 17 ERP Module
 
Aficamten in HCM (SEQUOIA HCM TRIAL 2024)
Aficamten in HCM (SEQUOIA HCM TRIAL 2024)Aficamten in HCM (SEQUOIA HCM TRIAL 2024)
Aficamten in HCM (SEQUOIA HCM TRIAL 2024)
 
World environment day ppt For 5 June 2024
World environment day ppt For 5 June 2024World environment day ppt For 5 June 2024
World environment day ppt For 5 June 2024
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
 

Matrices - Cramer's Rule

  • 1. A matrix is singu- lar if and only if its determinant is 0. Since lAl - 0, we have 2x-8-0 x:4 A matrtxAis non-singular if and only if lAl + O. EXAMPLE 27 SOLUTION Find the set of values of aforwhich the matrix ^: li ]) i, ,,or-rinS.rlar. Since A is non-singular, we have lAl * 0. lAl: (a)(3) - (2)(3) :3a-6 Since lAl * O,wehave 3a - 6 + 0 3a*6 a*2 EXAMPLE 28 SOLUTION Determine whether the matrix If the matrix is singular then its determinant is 0. Let us find the determinant of the matrix. 1 2 1 -1 2 Alissingular. 2121 ,li "l-24; ;l+'l- "l L(4- 3) -2(-2 6) + 1(-1 - 4)-1+ L6- s:12 1l +o the matrix is not singular. 2l 12 -1 2 21 Since 1l 3l -2l : 12 -1 2 21 SoLvi ng equations (Cramer's ruLe) using determinants Solve the simultaneous equations artx * ap/ : bL arrx * azz/ : b2 Equation [1] multiplied by o^ gives azta ttx * aztatz/ : aztb, Equation [2] multiplied by orr Bives arrarrx * arra22/ : o rrb, tll l2l t3l l4l 335
  • 2. Equation [a] ottazz/ - :. y(altazz - equation [3] gives aztatz/ : atrbr* orrbr, aztatz) - orr,b,- arrb, EXAMP SOLUTI( {4 5i s -ei tfre coefl matrix. Try thes lon bl lo, brl ^, - orrbr- orrb, /- Similarly, we get lb, arr.l lr, o,,lA': rv lan anl lo^ orrl lan anl lo^ orrl The coefficient matrix is the matrix formed from the coefficients of xand y inthe equatiol'ls. For the equations oltx * orzy,: ,bt aztx*o22y=bz the coefficient matrix o(Z:', Z:) Notice that for both the r-value and the y-value, the denominator is the determinant of the coefficient matrix. In the numerator for the x-value, the first column of the matrix consists of the values on the right-hand side of the coefficient equations and the second colu'mn the coef- ficients of7. For tfuey-value, the first column of the numerator consists of the coefficients of x and the second column contains the values on the right-hand side. This result is known as Cramer's rule. The cod matrix b lan o' lo^ az 4gr 03 EXAMPLE 29 SOLUTION Solve these simultaneous equations using Cramer's rule. 2xty-3 3x-2y:1 13 1l lr -zl -Jv 12 1l l: -21 12 3l tl 1l ./ 12 1l lr -zl -4 - 3 2-9 _ -4-3 ^-a -^-r-r- - ,- 12 1 The coefficient matrix'r (5 _2). .'. The denominator of xand y it lS -ll For the numerator of x replace the first column of the coefficient matrix with (?). For the numerator of y rep:lace the second column of the coefficient matrix with (? ) -6-L_-7_ -7 -7_ -7 EXAIvT I 336 Hencex*L,/:1.
  • 3. EXAMPLE 30 SOLUTION (i ?) ,' the coefficient matrix. I 10 sl I -s -+l _ -40 - (-40) Use Cramer's rule to solve the simultaneous equations 4x*5y:10 -014 s l l: -+l -L6 - 15 -31 Forthe n$merator of x replace the first column of the coefficient matrix with (i3) For the numerator of y replace the second columnof the coefficient matrix with ( jg). -ul refficients 14 101 ^, la -8 I - -32 - (30) _,62 1 /-A 5l- -16-15 --31 -L Ir -41 Hencex-0,y:2. Try these 16.6 Solve the following pairs of simultaneous equations using Cramer's rule. (a) x*3y:5 4x*y-9 (b) 2x-4y:2 3x - 7Y : 4 :terminant 'the values the coef- rts oi x and The coefficient matrix is lon on are lo^ azz aztl ol otz oztl Using Cramer's rule to solve three equations in three unknowns For the set ofequations arrx * an/ * arrz: b, arrx * az,z/ * arrz: b, arrx * an/ * arrz: b, using Crarn-er's rule, we have x- lb, atz orrl l', azz orrl lb, atz arrl lo, b| an lo^ bz azz lo, b3 an lan an an| lo^ azz orrl lou, atz orrl lo, arz u tl lo^ azz brl lo, azz brl lan an arcl lo^ azz 'rrl lat atz anl - lat atz anl' lo^ azz azzl lo, atz arrl v: Note the positions of b,b, b, in the numerators of x, y andz.lnthe value of x, b,b2,b3replaces the coeficient of I and similarly for y and z.T.he denominator is the determinant of the coefficient matrix. lI '[3 -ll ilte ltfiix ilE nt EXAMPLE 31 Use Cramer's rule to solve the following simultaneous equations. x*2y+32:1 2x-y+z-2 x*2y+z-1 337
  • 4. SOLUTION By Cramer's rule ,l-; ll -,?, ll + ,li -'; 'l-l ll -,?, ll+,1? -Ll 1(-3) -2(L) +3(s) 10 1 I 10 r 11 1 3l 12 2 1l lr 1 rl o Y:ffi-ft-0 lz-1 rl Ir 2 rl N ote columns'igte.i the,,mffi[fi,xhe numerator, the determinant is 0. 11 2 1l 12 -1 2l lr 2 rllr-m lz -1 rl tl 2 lt ...x:Lry:0rZ :*-0 EXAMPI SOLUTIO :0. 1 23 2 -1 I 1 21 | 23 2 -1 1 1 21 EXAMPLE 32 SOLUTION Solve these simultaneous equations. 2x*y+32:1 4x-3y+z-7 x*2y+z-5 Using Cramer's rule, we have 11 1 3l lt -3 1l ls 2 1l JY 12 1 3I l+ -3 rl lr I 1l ,l-3 1l 14 'l z 1l lr ,l-i 1l ll ll + ,1" -31 21 1( - s) (2) + 3(2e) B0 EXAMPI SOLUTIO For oti 'frw, o2 on -31 2(-s) (3)+3(11) 20 2l 12 1 3l l+ z tl "17 1l_14 1l-,14 7l Ir s rl 'ls rl lr rl''lr sl 2(2)-(3)+3(13) _40_ ^/ la r ,l I I rl lt il l, .l ^/ F /^ , ^/r< 12 1 1l l+ -3 7l tl 2 st H 12 1 3l l+ -3 1l 11 2 1l 2l-3 7l 14 7l + I 2 st tl st 2l-3 1l _ t4 lt 314 -31 t z lt lr llr n 2t ll + ,11 li -l ?l 4-i ll- li ll . ,li -il 2(-s) - (3) + 3(11) 20 l1 2 | 14 -31 lr 2l _2e2, (13) + (11) -60 _ .J 2(-s) (3) + 3(11) 20 Hence x- 4,y:2,2- -3. Use Cramer's rule to solve the followirg simultaneous equations. Cofactor r , lozt o -lo* o FOro.oz l$lia Qe lor, % al h Cofactorr laz. o - l'rr o (a) 3x*ay-zz-e 5x*y-z-6 2xty-32-0 (b) 4x-5y+22-6 x*y+z-2 7x*2y-22:5 338 Try these 16.7
  • 5. of matricesAppLications EXAMPLE 6S SOLUTION The supply function for a commodity is given by Q s( x) : a* * bx 'l c, where a, b and c are constants. When x: l,the quantity supplied is 5; when x : Z,the quantity supplied is 12; when x : 3,the quantity supplied is 23. use a matrix method to find thevalues ofa,bandc. q'(1) : a(l)2 + b(1) + c: 5 q'(2): a(2)2 + b(z) + c: 12 q'(3): a(3)2 + b(3) + c:23 We get three equations to solve simultaneously: a*b*c:5 4a-f2b*c:12 9a* 3b * c:23 Writing the equations in matrix form tr 1 1/4 /5 t; i')!):il,) ):(} 1il ',(l?)ta r l1 l4 le lr 1 l+z9 3 tu: 1 1l: l" ll Matrix of cofactors - Hence a: 2,b : l, c - 2 The equation is q'(x) - 2x2 t, x * 2 14 1l+14 2l:_1+s 6__2 le 1l le 3l i-l 5 -6i I z -8 6l -r 3 -21 EXAMPLE 61 A 160/o solution, a 22o/o solution and a 360/o solution of an acid are to be mixed to get 300 ml of a 247o solution. If the volume of acid from the 16%o solution equals half the volume of acid from the other two solutions, write down three equations satisfying the conditions given and solve the equations to find how much of each is needed. Let.r be the volume of 160/o solution, T be the volume of 22o/o solution and z be the volume of 360/o solution needed. SOLUTION
  • 6. Now x * y : z - 300 since the total volume is 300 ml. 0.16x * 0.22y + 0.36 z - ffiX 300 : 72 and o.t6x - *$.22y * 0.362) - o Therefore the equations are x*y+z-300 0.L6x*0.22y+0.362-72 0.I6x - 0.LLy - 0.182 - 0 Writing the equations in matrix form, we have I L 1 1 tx /300 lo.ro o.2z 0.36 llyl:lnl0.16 -0.11 -0.181zl 0/ Forming the augmented matrix, w€ get I | 1 I 1300 I 0.16 o.2z 0.36 I zzl o.ro -0.11 -o.1gl o/ Rr+ R, R, +R, 300 0.06 0.20 I 24 -0.27 -0.341 -49 SOLUTII - 0.16R1 - 0.16R1 1 ffi R, -+ 0.06R3+ 0.27R2 lt '1 I 1300 lo 0.06 o.zo I z+l o o o.o::ol aol lt 1 1 /.r /300 lo 0.06 o.2o llyl:l z+l 0 0 0.03361zl 3.6/ 0.03362:3.6+z:107.14 0.06y + 0.202:24 0.06y + 0.20(to7.t4) :24 y: 42.86 x*y*z:300 x * 42.86 + 107.14: 300 x: 150 Hence 150 ml of the 167o solution, 42.86mlof the22o/o solution andl07.l4ml of the 367o solution are needed. A popular carnival band sells three types of costumes. The costumes are made at the Mas-camp in Port-of-Spain. The owner of the band makes cheap costumes, medium- priced costumes and expensive costumes. The making of the costumes involves EXAMPTE 62
  • 7. SOTUTION fabric, labour, buttons and machine time. The following table shows the units of input required per costume for each type of costume. The owner makes the three types of costumes and uses 270 units of fabric, 1050 units of labour and790 buttons. How many of each type of costume does the owner make? What is the corresponding machine time used? Let r be the number of cheap costumes made, y the number of medium-priced costumes made, zthe number of expensive costumes made. Since 270 units of fabrics are used we have 5x*6y+82:270 For labout we have 20x+25y*302:1050 For buttons, L5x+20y*222-790 Writing the equations in matrix form, we have ls 6 B /.r 1270 lzo zs aoll.zl-llosoI 15 20 221 zl 7901 Forming the augmented matrix and reducing gives: ls 6 8 lzo 2s 30 rs zo 22 270 10s0 I Tsol R, -+ R, Rr+R, ls 6 lo 1 o z R, -+R, - 4R, - 3R, B -2 -2 270 -30 I -20lmlof$e ilca 6c modium- lJCs - 2R, ls 6 8 lo 1 -2 o o 2 270 -30 I 40l Fabric Labour Buttons Machine time
  • 8. We nowhave t5 6 8 /r t270 tB [ -')lr):-lt) The equations are 2z: 40 - z: 20 /-22: -30-y- 40: -30+y:10 5x -f 6y * 8z: 270 5x * 60 + 160 :270 x:10 Hence the owner made 10 cheap costumes, 10 medium-priced costumes and 20 expensive costumes. Machinetimeused:7 X 10 + 9 X 10 + L2y.20:400units. EXERCISE 1 6 B In questions l-5, find the inverse of each matrix. r11 ? 2F20 -Ll 3 5) 3 rt _t) n (:^ l) s(64'I3 3l In questions 6-10, (a) find the determinant of each matrix, (b) find the matrix of cofactors and hence find the inverse of each matrix. lr 1 0 6 lz 1 -rle 1 zl 14 5 -1 8 la -2 zl e 1-il lL 2 1 7 lo 1 rl o o zl 14 3 -1elz 4 +l 3 2 tl lL 0 5 10 l+ 1 ol 23+l In questions 11-15, find the inverse of each matrix by row reduction. I 3 1 2 t r 4 1 11 l-r 1 ol tz I z I rl 1 3 | -2 3 tl It 0 s t2 1 s 13 l+ I ol t4 14 i ol 234t Z3Zl l-L 2 1 15 | I I rl -2 1 7t 16 Solve the equation x12l xz 1+l x;3 1 sl 370 :0.
  • 9. t7 l8 19 23, T,}tuk 33 24 Solve the equati "rlhlxu Solve the equatio, | * -, lx* Solve the equatio, I .1 lx x2 1l x 1l:0. x3 1l 1 1 x*11 1 1 l:0. 1 1 x-11 x x* 1 11x x*l 1 -0. It 1 1 2S Findthevalues of asatisfyirgthe equation I a a * 1 a - 1 lo-1 2a a*1 -0. Sanjeev pays TT$300 for 4 shirts and 2 pairs of trousers while Saleem pays TT$700 for 2 shirts and 5 pairs oftrousers. If x and y represent the price ofa shirt and a pair of trousers respectively, write a system of linear equation in matrix form based on this information. Determine the price of a shirt and a pair oftrousers. Michael feeds his dogZentwith different mixtures of three types of food, A, B and C. A scoop of each food contains the following nutrients. Food A: 15 g of protein, 10 g carbohydrates and 20 g vitamins Food B: 20 g of protein, 15 g carbohydrates and 10 g vitamins Food C: 20g of protein, 10g carbohydrates and 20g vitamins Assume that dogs require 160g of protein, 110g of carbohydrates and 150g of vitamins. Find how many scoops of each food Michael should feed his dog daily to satisfy their nutrient requirements. Deanne has TT$50 000 and wishes to invest this for her retirement. She puts all the money in a fixed deposit, trust fund and a money market fund. The amount she puts in the money market fund is TT$10 000 more than that in the trust fund. After one year, she receives a profit totalling TT$3000. The fixed deposit pays 5o/o interest annually, the trust fund pays 67o annually and the money market fund pays 7Vo ann:ually. By denoting the amount of money invested in the fixed deposit, trust fund and the money market fund as x, y andz respectively, form a system of linear equations based on the information given. Write the system of linear equations in matrix form. Find the amount of money invested in each category of the fund. Show that the equations x*5y*42:19 2x-4y*z:-4 4x+6y*72:30 have a unique solution and hence find the solution by row reducing the augmented matrix to echelon form. rix of 371