SlideShare una empresa de Scribd logo
1 de 60
Descargar para leer sin conexión
Quantitative Techniques in
Management
MODULE – 1 : MATRICES
Reference Text Book: LR Potti
NJ Jaissy
Module – 1
Topics covered: Matrix / Matrices
Objective:
Understand matrices & vectors
Arithmetic operations using matrices
Determinants & Inverse of a matrix
Solving equations using matrices: Using
Inverse & Cramer’s Rule
2NJ Jaissy
What is a matrix?
A matrix is an array of numbers that
represent some data ( Plural = matrices)
A matrix on its own has no value – it is just
a representation of data
Could be data associated with manufactured
quantity in a factory, speed of a rocket etc
Forms the basis of computer programming
A matrix is used in solving equations that
represent business problems
3NJ Jaissy
Introduction to Matrices
3 5 7
6 0 9
2 8 10
aij = element in row ‘i’ and column ‘j’, where ‘a’ is
an element in the matrix
Eg: a 23 = element in 2nd row and 3rd column = 9
This would be a 3 x 3 matrix
( 3 rows and 3 columns)
Dimension or order: 3 x 3
A square matrix is one which
has equal rows and columns
Dimension or order = n x n
4NJ Jaissy
Examples of Matrices
2 4
5 7
2 3 6
72 3 9
7 9 11 5
9 0 3 6
This is an example of a 2 x 2 matrix
What is a12 ?
What is the dimension or der of this
Matrix?
What is a23 ?
What is the dimension or order
of this Matrix?
What is a14 ?
5NJ Jaissy
Vectors
51 12 67 20
71
54
A vector is a one row ( 1 x n) or a one column
matrix (n x 1)
What would a13 be for the first row vector?
What would a31 be for the second vector?
RowVector
Order = 1 x 3
Column Vector
Order = 3 x 1
6NJ Jaissy
Addition of Matrices
2 45 72 40 7 9
6 3 0 6 1 2
7 9 10 7 2 8
A B
(2+40) (45+7) (72+9) 47 52 81
(6+6) (3+1) (0+2) 12 4 2
(7+7) (9+2) (10+8) 14 11 18
Only Matrices of the same dimensions can be added!!
Rule 1: A + B = B + A
7NJ Jaissy
Question Set 1
1. Add the following matrices:
32 4 60 22 5 8
29 2 4 10 8 12
21 65 7 9 7 2
2. Subtract the following matrices:
18 26 12 7 2 15
10 11 12 13 3 5
8 10 16 5 8 9
8NJ Jaissy
Multiplication of Matrices: - 1
1 3 5 2 1 3
2 4 2 4 5 2
2 5 6 6 2 3
(1x2 + 3x4+5x6) (1x1+ 3x5+5x2) (1x3+3x2+5x3)
(2x2 + 4x4+2x6) (2x1+ 4x5+2x2) (2x3+4x2+2x3)
(2x2 + 5x4+6x6) (2x1+ 5x5+6x2) (2x3+5x2+6x3)
25 26 24
32 26 20
58 39 34
9NJ Jaissy
Multiplication of Matrices - 2
2 3 1 4 2
4 3 2 1 0
5 2
(2x4+3x1+1x5) (2x2+3x0+1x2)
(4x4+3x1+2x5) (4x2+3x0+2x2)
16 13
29 15
2 x 3 matrix 3 x 2 matrix
2 x 2 matrix
A B
A x B
10NJ Jaissy
Multiplication of Matrices - 3
4 2 2 3 1
1 0 4 3 2
5 2
(4x2+2x4) (4x3+2x3) (4x1+2x2)
(1x2+0x4 (1x3+0x3) (1x1+0x2)
(5x2+2x4) (5x3+2x3) (5x1+2x2)
16 18 8
2 3 1
18 21 9
2 x 3 matrix
3 x 2 matrix
3 x 3 matrix
AB
B x A
Rule 2: A x B B x A
11NJ Jaissy
Question Set 1
3. Multiply the following matrices:
2 3 4 1 0 5
0 10 3 5 6 9
1 0 1 1 2 0
4. 1 0 2 3 1
2 1 1 2 10
5. 3 4 2 2 3 1
2 1 0 4 2 2
Is it possible to compute No. 5?! No! Why? 12NJ Jaissy
Multiplication of a matrix by a scalar
If K is any number and A is a given matrix,
Then KA is the matrix obtained by
multiplying each element of A by K.
K is called ‘Scalar’. Eg: if K = 2
2 4 5 4 8 10
A= 1 3 2 KA = 2 6 4
2 5 1 4 10 2
13NJ Jaissy
Transpose of a Matrix
Matrix formed by interchanging rows and
columns of A is called A transpose (A’)
A = 2 3 4 A’ = 2 1
1 7 9 3 7
4 9
Rule: (A + B)’ = A’ + B’
14NJ Jaissy
Question Set 1
6. Find the transpose of the following matrices and verify
that (A+B)’ = A’ +B’
A = 1 2 9 B= 2 3 4
4 3 6 1 8 6
Hint: Find A+B, (A+B)’,A’ and B’ and verify
7. If D is a matrix where first row = number of table fans and
second row = number of ceiling fans factories A and B
make in one day. If a week has 5 working days compute 5A.
What does 5A represent?
D = 10 20
30 40
15NJ Jaissy
Question Set 1
8. If A = 2 3 4
5 7 9
-2 1 -1
And B = 4 0 5
-1 2 0
0 -3 1
Verify that (AB)’ = B’ x A’
Rule: (AB)’ = B’ x A’
16NJ Jaissy
Question Set 1
9. Two shops have the stock of large, medium and small sizes of a
toothpaste.The number of each size stocked is given by the
matrix A where
Large Medium Small
A = 150 240 120 shop no. 1
90 300 210 shop no 2
The cost matrix B of the different size of the toothpaste is given by
Cost
B = 14 Find the investment in toothpaste by each
10 shop
6
Answer: 3820 -- Investment by shop no 1
5520 -- Investment by shop no 2 17NJ Jaissy
Determinant of a 2x2 Matrix
Determinant of Matrix A is denoted by IAI
Determinant is a single number derived from
the Matrix that is used in solving linear
equations represented by Matrices
Determinant of a 2x2 matrix
a b = ad – bc
c d
Eg: Determinant of 2 4 = 2x3 - 4x4
4 3 = -10
Determinant can be defined only for square
matrices!
18NJ Jaissy
Question Set 2
1. Find the determinant of the following
matrices:
A = 3 6 Determinant: IAI =
2 7
B = 0 -3 Determinant: IBI =
2 2
19NJ Jaissy
Question Set 2
2. Find the determinant:
a) -1 2 b) 5 0
4 6 2 1
c) 13 2 d) 0 9
7 1 2 8
20NJ Jaissy
Minor
Minor of an element aij = the determinant
formed by removing the rows ‘i’ and
column ‘j’
Eg: If A = Minor of 1 =
A =
Minor of 5=
1 2 4
2 5 7
3 8 0
5 7
8 0
1 4
3 0
1 2 4
2 5 7
3 8 0
1 2 4
2 5 7
3 8 0
21NJ Jaissy
Determinant of a 3x3 Matrix
a b c
d e f
g h i
a e f b d f c d e
h i g i g h
Minor of a Minor of b Minor of c
a(ei – fh) - b(di – gf) +c(dh – eg)
22NJ Jaissy
Determinant of a 3x3 matrix
If A = 1 2 -3 find IAI
2 -1 2
3 2 4
= 1 -1 2 2 2 2 -3 2 -1
2 4 3 4 3 2
minor of 1 minor of 2 minor of 3
1(-4-4) – 2(8-6) + -3 (4+3) = -8+4-21= -33
23NJ Jaissy
Question Set 2
3. Find the determinant of :
a) 1 2 7 b) 2 3 6
3 -1 0 1 -4 0
6 8 10 -1 2 8
c) 4 6 -1 d) 2 5 1
0 10 2 -5 4 -7
3 5 9 3 1 0
386 -108
140 -100
24NJ Jaissy
Question Set 1
8. For the matrix
A = 4 5 6 and B = 7 9
2 1 3 10 2
-5 2 2
Multiply by the Matrix I =
1 0 0 1 0
0 1 0 0 1
0 0 1
What is A.I and I.B?
25NJ Jaissy
Identity Matrix
If you were to multiply ‘a’ by ‘1’, you would get ‘a’ .
Eg: 2 x 1 = 2x1 =2
The ‘identity’ matrix (i) is the equivalent of ‘1’ in basic math
If A is a matrix and I is an identity Matrix,
Then A x I = A and I x A = A.
Identity Matrices:
1 0 1 0 0
0 1 0 1 0
0 0 1
Then A x I = A and I x A = A
a b 1 0 a+0 0+b a b
c d 0 1 c+0 0+d c d
26NJ Jaissy
Inverse of a Matrix
In basic math: 2 2 = 1 and 1/2 x 2 = I.
Dividing 2 by two is the same as multiplying 2
by 1/2 . The net result is 1.
A similar concept is the ‘inverse’ of a matrix. If
A is a matrix, then A is the inverse such
that Ax A = I (identity matrix)
If A has an inverse (A ) then A is said to be
‘invertible’
A .A = A.A = I
27NJ Jaissy
Inverse of a 2x2 matrix
Matrix A = a b
c d
A
1 d -b
IAI -c a
Determinant of A
Adjoint of A
Switch positions of a and d,
Change the sign of b and c
= ad - bc
28NJ Jaissy
Inverse of a 2x2 matrix
Find the inverse of
IAI = (2x5) – (3x4) = 10-12 = -2
A = 1
A = 2 3
4 5
- 3
- 4- 2
5
2
-5/2 3/2
2 -1
Adjoint: Switch positions of 2 and 5,
Change the sign of 3 and 4 29NJ Jaissy
Question Set 2
Find the inverse of the following matrices:
A = B =
C = D =
Verify that A.A and D. D = the identity matrix!
2 1
3 4
5 1
2 0
6 2
7 1
4 2
5 1
4/5 -1/5
-3/5 2/5
0 1/2
1 -5/2
1/8 -1/4
-7/8 3/4
-1/6 1/3
5/6 -2/3
30NJ Jaissy
Question Set 3: Revision of basic
concepts!
3 -2 5 -1
0 1 4 2
a) What is AB and B’A’?
b) Find the inverse of A and inverse of B
c) Verify that A.A and B B. = identity matrix
A = B =
AB = 7 -7
4 2
B’A’ = 7 4
-7 2
1/3 2/3
0 1
1/7 1/14
-2/7 5/14A B
31
NJ Jaissy
Question Set 3 : Revision of basic
concepts!
2 4 1
7 9 0
8 2 1
A = B =
2 - 1 -3
7 9 0
8 2 1
a) Find AB and (BA)’
b) What is the determinant of A and B? i.e.
what is IAI and IBI ?
32NJ Jaissy
Question Set 3
A class of MBA students comprising boys and girls went for an
industrial visit. There were 59 first year students and 41 second
year students. Of the 1st year students, 32 were girls while the 2nd
year students had 17 boys. If the dean has to select a student at
random:
a) What is the probability that the student is a 1st year student
b) What is the probability that the student is a boy?
c) If the selection is made from only 1st year students, what is the
probability the student is a boy?
d) Given that the selection is made from girls, students, what is the
probability the student is a 2nd year student
e) If 2 students are chosen at random to be representatives, what is
the probability that we will get a 1st year student or a 2nd year
student?
f) If 2 students are chosen at random to be representatives, what is
the probability that we will get a girl and a boy?
33NJ Jaissy
Inverse of a 3x3 matrix
In general Inverse of Matrix A =
A = I x Adjoint A
IAI
a) We know how to find the Determinant
of a 3x3 matrix
b) Now we have to find the Adjoint of a
3x3 matrix
34NJ Jaissy
Adjoint of a 3x3 matrix
1. Find the Matrix of Minors
2. Find the Matrix of Co-factors by applying the
following signs:
+ - + (i+j)
- + - derived from (-1)
+ - +
3. Transpose the matrix of Cofactors
4. This is the adjoint!
A = I x Adjoint A
IAI
35NJ Jaissy
Eg: 2- Inverse of a 3x3 matrix: Gauss
Jordan Reduction method -2
R3+ R2 R3
R1 + R3 R1
1 2 -1
0 1 0
0 -1 1
1 0 0
4 1 0
4 0 1
1 2 -1
0 1 0
0 0 1
1 0 0
4 1 0
8 1 1
1 2 0
0 1 0
0 0 1
9 1 1
4 1 0
8 1 1 36NJ Jaissy
Eg: 2- Inverse of a 3x3 matrix: Gauss
Jordan Reduction method -3
A =
R1-2 R2 R1
1 2 0
0 1 0
0 0 1
9 1 1
4 1 0
8 1 1
1 0 0
0 1 0
0 0 1
1 -1 1
4 1 0
8 1 1
1 -1 1
4 1 0
8 1 1 37NJ Jaissy
Question set 4: Find the inverse
1 0 1
0 2 1
1 1 1
A =
-1 -1 2
-1 0 1
2 1 -2
A =
B =
2 3 0
1 -2 -1
2 0 -1
2 3 -3
-1 -2 2
4 6 -7
B =
38NJ Jaissy
Question Set 4 – Find the inverse
0 1 2
1 2 3
3 1 1
C =
1/2 -1/2 1/2
-4 3 -1
5/2 -3/2 1/2
C =
2 3 4
4 3 1
1 2 4
D =
-2 4/5 9/5
3 -4/5 -14/5
-1 1/5 6/5
D =
39NJ Jaissy
e) Find Inverse of Matrix A :
Question Set 4
A = A =
1 -1 1
4 1 0
8 1 1
1 2 -1
-4 -7 4
-4 -9 5
40NJ Jaissy
f) Find Inverse of Matrix A :
Question set 4
1 3 3
1 4 3
1 3 4
A = A =
7 -3 -3
-1 1 0
-1 0 1
41NJ Jaissy
Application of Inverse! Solving of
equations: Find x and y:
2x - 3y = 3
4x - y= 11
2 -3 x 3
4 -1 y 11
A X B
X = A B
x = 3
y = 1
42NJ Jaissy
Application of Inverse: Solving of
equations!
x + y + z = 7
x+ 2y +3z= 16
x +3y +4z = 22
1 1 1 x 7
1 2 3 y 16
1 3 4 z 22
A X = B
X = A B
x = 1, y = 3, z = 3
43NJ Jaissy
Cramer’s Rule: (Using Determinants)
a1x + b1y + c1z = m1
a2x + b2y +c2 z = m2
a3x + b3y +c3z = m3
X = IDxI y = Dy z = Dz
IDI IDI IDI
m1 b1 c1
m2 b2 c2
m3 b3 c3
a1 b1 c1
a2 b2 c2
a3 b3 c3
a1 b1 c1
a2 b2 c2
a3 b3 c3
x
y
z
m1
m2 where
m3
a1 b1 m1
a2 b2 m2
a3 b3 m3
a1 b1 c1
a2 b2 c2
a3 b3 c3
a1 m1 c1
a2 m2 c2
a3 m3 c3
a1 b1 c1
a2 b2 c2
a3 b3 c3 44
NJ Jaissy
Solve using Cramer’s rule & Using
Inverse:
a) x + 6y – z = 10
2x + 3y +3z = 17
3x – 3y- 2z = -9
b) x + y + z = 9
2x + 5y +7z = 52
2x + y – z = 0
x = 1, y = 2, z = 3
x = 1, y = 3, z = 5
45NJ Jaissy
1. Solve the following equation using Matrix
theory:
2x + y +6z – 46 = 0
7x + 4y -3z = 19
5x -6y +42 = 15
Hint:
Write in the standard equation form with
x, y, z on left & numbers on right
Solve for X,Y, Z
Question Set 5:
46NJ Jaissy
Question Set 5:
2. Using the matrices
L = l m n X = x y z A = a b c
p q r u v w d e f
Verify that L+ (X+A) = (L+X) + A
Hint:
Find ( X+A) and (L+X) first
Then compute L+(X+A) and (L+X) + A
47NJ Jaissy
Question Set 5:
3. An Automobile company uses three types of steel,
S1,S2 and S3 for producing 3 different cars, C1, C2
and C3. Steel requirements in tons for each type of
car and total available steel of all the three types is
given below:
Determine the number of cars of each type using
matrix inverse method
Type of Car
C1 C2 C3
Total Steel Available
Type of Steel
2 3 4
1 1 2
3 2 1
29
13
16
S1
S2
S3
48NJ Jaissy
Question Set 5
4. Solve by matrix method:
2x + 4y + z = 5
x + y + z = 6
2x + 3y +z = 6
Hint:
Here since no one method is specified, you can
use either the matrix inverse method or
Cramer’s rule to solve these equations for x, y, z
49NJ Jaissy
Question Set 5
5. The prices of 3 commodities X,Y Z are not
known. A sells 5 units of X, 4 units of Z
and purchases 6 units ofY. B sells 7 units of
X, 4 units ofY and purchases 3 units of Z.
C sells 2 units of X, one unit ofY and 6
units of Z. In this process,A, B and C earn
respectively Rs. 15, Rs. 19 and Rs. 46. Find
the prices of the commodities X,Y and Z
(Hint:Write in equation form and solve for x,
y and z. 5x +4z -6y= 15,
7x+4y-3z = 19
2x + y +6z = 46 )
50NJ Jaissy
Get the Signs right! Reference sheet
-5 + 1 = - 4
-6 – 2 = - 8
9 – ( -4) = 9+4 = 13
-4 – ( -5) = -4 + 5 = 1
-7 +9 = 2
-4 x -8 = 32
-4 x 9 = -36
- 2 x -1/2 = 1
51NJ Jaissy
Properties of determinants -1
Value of a determinant does not change if
rows and columns are interchanged ( ie
when transposed)
a b c a d g
d e f b e h
g h I c f i
52NJ Jaissy
Properties of determinants - 2
If any two rows or columns are interchanged,
sign of the determinant changes
a b c b a g
d e f e d h
g h I h g I
a b c d e f
d e f a b c
g h I g h i
C1<> C2
R1<> R2
53NJ Jaissy
Properties of determinants - 3
If any two rows or columns of a determinant
are equal, value of determinant = 0 (zero)
a c c a b c
d f f d e f
g i i a b c
2 4 3
3 1 2
3 1 2
C2= C3
R1= R3
54NJ Jaissy
Properties of determinants - 4
If all elements of a row or column are
multiplied by a scalar ‘k’, then the determinant
becomes k times original value
a b c ka kb kc
d e f d e f
g h I g h I
1 0 2 3 0 6
4 5 2 4 5 2
2 3 1 2 3 1
K
3
55NJ Jaissy
Properties of determinants - 5
If every element of a row ( or column) is sum
of 2 numbers, then the given determinant can
be expressed as a sum of two determinants
such that the first elements appear in one
determinant and second in another
a +k b c a b c k b c
d +l e f d e f l e f
g +i h I g h I g h i
56NJ Jaissy
Properties of determinants - 6
If a constant multiple of the elements of a
row or column are added to the
corresponding elements of another row or
column, determinant value = 0
a b c a b c
d e f d e f
g h I g+ka h+kb I+kc
57NJ Jaissy
Question Set 6: Properties of
determinants example - 1
2 4 5 4 2 5
1 2 3 2 1 3
0 1 4 1 0 4
Are determinants of A & B equal?
Hint: Check if any rows / columns are the
same or interchanged
Ans: C1<>C2, therefore IAI = - IBI
A = B =
58NJ Jaissy
Question Set 6: Properties of
determinants example - 2
2 3 1 2 0 1
0 2 1 3 2 4
1 4 5 1 1 5
Are determinants of A & B equal?
Hint: Check if any rows / columns are the
same or interchanged
Ans:All rows of A = columns of B therefore
IAI = IBI
A = B =
59NJ Jaissy
Question Set 6: Properties of
determinants example - 3
2 4 3
3 1 2
6 2 4
Determine the value of IAI without computing?
Hint: Check if any rows / columns are multiples /
the same
Ans R3 = 2R1 & R3 = R1, therefore IAI = 0
IAI =
2 4 3
3 1 2
3 1 2
IAI = 2
60NJ Jaissy

Más contenido relacionado

La actualidad más candente

Matrices - Mathematics
Matrices - MathematicsMatrices - Mathematics
Matrices - MathematicsDrishti Bhalla
 
Lesson 5: Matrix Algebra (slides)
Lesson 5: Matrix Algebra (slides)Lesson 5: Matrix Algebra (slides)
Lesson 5: Matrix Algebra (slides)Matthew Leingang
 
Determinants - Mathematics
Determinants - MathematicsDeterminants - Mathematics
Determinants - MathematicsDrishti Bhalla
 
Matrices and determinants assignment
Matrices and determinants assignmentMatrices and determinants assignment
Matrices and determinants assignmentKarunaGupta1982
 
Matrices & determinants
Matrices & determinantsMatrices & determinants
Matrices & determinantsindu thakur
 
Infinite sequence and series
Infinite sequence and seriesInfinite sequence and series
Infinite sequence and seriesBhavik A Shah
 
Sequences and series
Sequences and seriesSequences and series
Sequences and seriesMalikahmad105
 
Matrix inverse
Matrix inverseMatrix inverse
Matrix inversemstf mstf
 
PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES
PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES   PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES
PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES Mazharul Islam
 
Exponents and Radicals (Class 8th)
Exponents and Radicals (Class 8th)Exponents and Radicals (Class 8th)
Exponents and Radicals (Class 8th)Lugiano
 
Chapter 1 arithmetic &amp; geometric sequence
Chapter 1 arithmetic &amp; geometric sequenceChapter 1 arithmetic &amp; geometric sequence
Chapter 1 arithmetic &amp; geometric sequenceNajla Nizam
 

La actualidad más candente (20)

Matrices - Mathematics
Matrices - MathematicsMatrices - Mathematics
Matrices - Mathematics
 
Lesson 5: Matrix Algebra (slides)
Lesson 5: Matrix Algebra (slides)Lesson 5: Matrix Algebra (slides)
Lesson 5: Matrix Algebra (slides)
 
Determinants - Mathematics
Determinants - MathematicsDeterminants - Mathematics
Determinants - Mathematics
 
Matrices and determinants assignment
Matrices and determinants assignmentMatrices and determinants assignment
Matrices and determinants assignment
 
Matrices & determinants
Matrices & determinantsMatrices & determinants
Matrices & determinants
 
Matrices
Matrices Matrices
Matrices
 
Infinite sequence and series
Infinite sequence and seriesInfinite sequence and series
Infinite sequence and series
 
Class XII CBSE Mathematics Sample question paper with solution
Class XII CBSE Mathematics Sample question paper with solutionClass XII CBSE Mathematics Sample question paper with solution
Class XII CBSE Mathematics Sample question paper with solution
 
Introduction of matrices
Introduction of matricesIntroduction of matrices
Introduction of matrices
 
Determinants
DeterminantsDeterminants
Determinants
 
Sequences and series
Sequences and seriesSequences and series
Sequences and series
 
Matrix inverse
Matrix inverseMatrix inverse
Matrix inverse
 
PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES
PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES   PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES
PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES
 
Matrix.
Matrix.Matrix.
Matrix.
 
the inverse of the matrix
the inverse of the matrixthe inverse of the matrix
the inverse of the matrix
 
Matrix algebra
Matrix algebraMatrix algebra
Matrix algebra
 
Exponents and Radicals (Class 8th)
Exponents and Radicals (Class 8th)Exponents and Radicals (Class 8th)
Exponents and Radicals (Class 8th)
 
Matrices ppt
Matrices pptMatrices ppt
Matrices ppt
 
Maths sets ppt
Maths sets pptMaths sets ppt
Maths sets ppt
 
Chapter 1 arithmetic &amp; geometric sequence
Chapter 1 arithmetic &amp; geometric sequenceChapter 1 arithmetic &amp; geometric sequence
Chapter 1 arithmetic &amp; geometric sequence
 

Destacado

2X2 Scenario Exploration System
2X2 Scenario Exploration System2X2 Scenario Exploration System
2X2 Scenario Exploration SystemJohn A. Sweeney
 
Consulting toolkit profit trees
Consulting toolkit   profit treesConsulting toolkit   profit trees
Consulting toolkit profit treeschrisdoran
 
Consulting toolkit systems thinking
Consulting toolkit   systems thinkingConsulting toolkit   systems thinking
Consulting toolkit systems thinkingchrisdoran
 
Consulting toolkit analogies
Consulting toolkit   analogiesConsulting toolkit   analogies
Consulting toolkit analogieschrisdoran
 
Consulting toolkit interviewing skills
Consulting toolkit   interviewing skillsConsulting toolkit   interviewing skills
Consulting toolkit interviewing skillschrisdoran
 
Consulting toolkit modelling
Consulting toolkit   modellingConsulting toolkit   modelling
Consulting toolkit modellingchrisdoran
 
Consulting toolkit brainstorming
Consulting toolkit   brainstormingConsulting toolkit   brainstorming
Consulting toolkit brainstormingchrisdoran
 
Consulting toolkit evaluating alternatives
Consulting toolkit   evaluating alternativesConsulting toolkit   evaluating alternatives
Consulting toolkit evaluating alternativeschrisdoran
 

Destacado (8)

2X2 Scenario Exploration System
2X2 Scenario Exploration System2X2 Scenario Exploration System
2X2 Scenario Exploration System
 
Consulting toolkit profit trees
Consulting toolkit   profit treesConsulting toolkit   profit trees
Consulting toolkit profit trees
 
Consulting toolkit systems thinking
Consulting toolkit   systems thinkingConsulting toolkit   systems thinking
Consulting toolkit systems thinking
 
Consulting toolkit analogies
Consulting toolkit   analogiesConsulting toolkit   analogies
Consulting toolkit analogies
 
Consulting toolkit interviewing skills
Consulting toolkit   interviewing skillsConsulting toolkit   interviewing skills
Consulting toolkit interviewing skills
 
Consulting toolkit modelling
Consulting toolkit   modellingConsulting toolkit   modelling
Consulting toolkit modelling
 
Consulting toolkit brainstorming
Consulting toolkit   brainstormingConsulting toolkit   brainstorming
Consulting toolkit brainstorming
 
Consulting toolkit evaluating alternatives
Consulting toolkit   evaluating alternativesConsulting toolkit   evaluating alternatives
Consulting toolkit evaluating alternatives
 

Similar a Matrices

Matrices Questions & Answers
Matrices Questions & AnswersMatrices Questions & Answers
Matrices Questions & AnswersSantoshTamadaddi
 
2010 assessment review_homework_1-4-done
2010 assessment review_homework_1-4-done2010 assessment review_homework_1-4-done
2010 assessment review_homework_1-4-donejendailey
 
Mcqs -Matrices and determinants
Mcqs -Matrices and determinantsMcqs -Matrices and determinants
Mcqs -Matrices and determinantss9182647608y
 
Matrices and determinants_01
Matrices and determinants_01Matrices and determinants_01
Matrices and determinants_01nitishguptamaps
 
4.5 Multiplication Of Two Matrices
4.5 Multiplication Of Two Matrices4.5 Multiplication Of Two Matrices
4.5 Multiplication Of Two Matrices豪 鱟灊
 
4.5 Multiplication Of Two Matrices
4.5 Multiplication Of Two Matrices4.5 Multiplication Of Two Matrices
4.5 Multiplication Of Two Matrices豪 鱟灊
 
IIT JAM MATH 2018 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2018 Question Paper | Sourav Sir's ClassesIIT JAM MATH 2018 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2018 Question Paper | Sourav Sir's ClassesSOURAV DAS
 
Algebra Revision.ppt
Algebra Revision.pptAlgebra Revision.ppt
Algebra Revision.pptAaronChi5
 
Matrices solved ex 3.1
Matrices solved ex   3.1Matrices solved ex   3.1
Matrices solved ex 3.1Ankit Kamboj
 
Bba i-bm-u-2- matrix -
Bba i-bm-u-2- matrix -Bba i-bm-u-2- matrix -
Bba i-bm-u-2- matrix -Rai University
 
IIT JAM MATH 2019 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2019 Question Paper | Sourav Sir's ClassesIIT JAM MATH 2019 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2019 Question Paper | Sourav Sir's ClassesSOURAV DAS
 

Similar a Matrices (20)

Matrices Questions & Answers
Matrices Questions & AnswersMatrices Questions & Answers
Matrices Questions & Answers
 
matrix
matrixmatrix
matrix
 
Mathematics 1
Mathematics 1Mathematics 1
Mathematics 1
 
Mathematics 1
Mathematics 1Mathematics 1
Mathematics 1
 
2010 assessment review_homework_1-4-done
2010 assessment review_homework_1-4-done2010 assessment review_homework_1-4-done
2010 assessment review_homework_1-4-done
 
Metrix[1]
Metrix[1]Metrix[1]
Metrix[1]
 
Mcqs -Matrices and determinants
Mcqs -Matrices and determinantsMcqs -Matrices and determinants
Mcqs -Matrices and determinants
 
Matrices and determinants_01
Matrices and determinants_01Matrices and determinants_01
Matrices and determinants_01
 
4.5 Multiplication Of Two Matrices
4.5 Multiplication Of Two Matrices4.5 Multiplication Of Two Matrices
4.5 Multiplication Of Two Matrices
 
Mathematics
MathematicsMathematics
Mathematics
 
Mathematics
MathematicsMathematics
Mathematics
 
4.5 Multiplication Of Two Matrices
4.5 Multiplication Of Two Matrices4.5 Multiplication Of Two Matrices
4.5 Multiplication Of Two Matrices
 
4.5
4.54.5
4.5
 
IIT JAM MATH 2018 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2018 Question Paper | Sourav Sir's ClassesIIT JAM MATH 2018 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2018 Question Paper | Sourav Sir's Classes
 
TABREZ KHAN.ppt
TABREZ KHAN.pptTABREZ KHAN.ppt
TABREZ KHAN.ppt
 
Matrix
MatrixMatrix
Matrix
 
Algebra Revision.ppt
Algebra Revision.pptAlgebra Revision.ppt
Algebra Revision.ppt
 
Matrices solved ex 3.1
Matrices solved ex   3.1Matrices solved ex   3.1
Matrices solved ex 3.1
 
Bba i-bm-u-2- matrix -
Bba i-bm-u-2- matrix -Bba i-bm-u-2- matrix -
Bba i-bm-u-2- matrix -
 
IIT JAM MATH 2019 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2019 Question Paper | Sourav Sir's ClassesIIT JAM MATH 2019 Question Paper | Sourav Sir's Classes
IIT JAM MATH 2019 Question Paper | Sourav Sir's Classes
 

Último

Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room servicediscovermytutordmt
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...anjaliyadav012327
 
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...Pooja Nehwal
 

Último (20)

Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room service
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
 
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
 

Matrices

  • 1. Quantitative Techniques in Management MODULE – 1 : MATRICES Reference Text Book: LR Potti NJ Jaissy
  • 2. Module – 1 Topics covered: Matrix / Matrices Objective: Understand matrices & vectors Arithmetic operations using matrices Determinants & Inverse of a matrix Solving equations using matrices: Using Inverse & Cramer’s Rule 2NJ Jaissy
  • 3. What is a matrix? A matrix is an array of numbers that represent some data ( Plural = matrices) A matrix on its own has no value – it is just a representation of data Could be data associated with manufactured quantity in a factory, speed of a rocket etc Forms the basis of computer programming A matrix is used in solving equations that represent business problems 3NJ Jaissy
  • 4. Introduction to Matrices 3 5 7 6 0 9 2 8 10 aij = element in row ‘i’ and column ‘j’, where ‘a’ is an element in the matrix Eg: a 23 = element in 2nd row and 3rd column = 9 This would be a 3 x 3 matrix ( 3 rows and 3 columns) Dimension or order: 3 x 3 A square matrix is one which has equal rows and columns Dimension or order = n x n 4NJ Jaissy
  • 5. Examples of Matrices 2 4 5 7 2 3 6 72 3 9 7 9 11 5 9 0 3 6 This is an example of a 2 x 2 matrix What is a12 ? What is the dimension or der of this Matrix? What is a23 ? What is the dimension or order of this Matrix? What is a14 ? 5NJ Jaissy
  • 6. Vectors 51 12 67 20 71 54 A vector is a one row ( 1 x n) or a one column matrix (n x 1) What would a13 be for the first row vector? What would a31 be for the second vector? RowVector Order = 1 x 3 Column Vector Order = 3 x 1 6NJ Jaissy
  • 7. Addition of Matrices 2 45 72 40 7 9 6 3 0 6 1 2 7 9 10 7 2 8 A B (2+40) (45+7) (72+9) 47 52 81 (6+6) (3+1) (0+2) 12 4 2 (7+7) (9+2) (10+8) 14 11 18 Only Matrices of the same dimensions can be added!! Rule 1: A + B = B + A 7NJ Jaissy
  • 8. Question Set 1 1. Add the following matrices: 32 4 60 22 5 8 29 2 4 10 8 12 21 65 7 9 7 2 2. Subtract the following matrices: 18 26 12 7 2 15 10 11 12 13 3 5 8 10 16 5 8 9 8NJ Jaissy
  • 9. Multiplication of Matrices: - 1 1 3 5 2 1 3 2 4 2 4 5 2 2 5 6 6 2 3 (1x2 + 3x4+5x6) (1x1+ 3x5+5x2) (1x3+3x2+5x3) (2x2 + 4x4+2x6) (2x1+ 4x5+2x2) (2x3+4x2+2x3) (2x2 + 5x4+6x6) (2x1+ 5x5+6x2) (2x3+5x2+6x3) 25 26 24 32 26 20 58 39 34 9NJ Jaissy
  • 10. Multiplication of Matrices - 2 2 3 1 4 2 4 3 2 1 0 5 2 (2x4+3x1+1x5) (2x2+3x0+1x2) (4x4+3x1+2x5) (4x2+3x0+2x2) 16 13 29 15 2 x 3 matrix 3 x 2 matrix 2 x 2 matrix A B A x B 10NJ Jaissy
  • 11. Multiplication of Matrices - 3 4 2 2 3 1 1 0 4 3 2 5 2 (4x2+2x4) (4x3+2x3) (4x1+2x2) (1x2+0x4 (1x3+0x3) (1x1+0x2) (5x2+2x4) (5x3+2x3) (5x1+2x2) 16 18 8 2 3 1 18 21 9 2 x 3 matrix 3 x 2 matrix 3 x 3 matrix AB B x A Rule 2: A x B B x A 11NJ Jaissy
  • 12. Question Set 1 3. Multiply the following matrices: 2 3 4 1 0 5 0 10 3 5 6 9 1 0 1 1 2 0 4. 1 0 2 3 1 2 1 1 2 10 5. 3 4 2 2 3 1 2 1 0 4 2 2 Is it possible to compute No. 5?! No! Why? 12NJ Jaissy
  • 13. Multiplication of a matrix by a scalar If K is any number and A is a given matrix, Then KA is the matrix obtained by multiplying each element of A by K. K is called ‘Scalar’. Eg: if K = 2 2 4 5 4 8 10 A= 1 3 2 KA = 2 6 4 2 5 1 4 10 2 13NJ Jaissy
  • 14. Transpose of a Matrix Matrix formed by interchanging rows and columns of A is called A transpose (A’) A = 2 3 4 A’ = 2 1 1 7 9 3 7 4 9 Rule: (A + B)’ = A’ + B’ 14NJ Jaissy
  • 15. Question Set 1 6. Find the transpose of the following matrices and verify that (A+B)’ = A’ +B’ A = 1 2 9 B= 2 3 4 4 3 6 1 8 6 Hint: Find A+B, (A+B)’,A’ and B’ and verify 7. If D is a matrix where first row = number of table fans and second row = number of ceiling fans factories A and B make in one day. If a week has 5 working days compute 5A. What does 5A represent? D = 10 20 30 40 15NJ Jaissy
  • 16. Question Set 1 8. If A = 2 3 4 5 7 9 -2 1 -1 And B = 4 0 5 -1 2 0 0 -3 1 Verify that (AB)’ = B’ x A’ Rule: (AB)’ = B’ x A’ 16NJ Jaissy
  • 17. Question Set 1 9. Two shops have the stock of large, medium and small sizes of a toothpaste.The number of each size stocked is given by the matrix A where Large Medium Small A = 150 240 120 shop no. 1 90 300 210 shop no 2 The cost matrix B of the different size of the toothpaste is given by Cost B = 14 Find the investment in toothpaste by each 10 shop 6 Answer: 3820 -- Investment by shop no 1 5520 -- Investment by shop no 2 17NJ Jaissy
  • 18. Determinant of a 2x2 Matrix Determinant of Matrix A is denoted by IAI Determinant is a single number derived from the Matrix that is used in solving linear equations represented by Matrices Determinant of a 2x2 matrix a b = ad – bc c d Eg: Determinant of 2 4 = 2x3 - 4x4 4 3 = -10 Determinant can be defined only for square matrices! 18NJ Jaissy
  • 19. Question Set 2 1. Find the determinant of the following matrices: A = 3 6 Determinant: IAI = 2 7 B = 0 -3 Determinant: IBI = 2 2 19NJ Jaissy
  • 20. Question Set 2 2. Find the determinant: a) -1 2 b) 5 0 4 6 2 1 c) 13 2 d) 0 9 7 1 2 8 20NJ Jaissy
  • 21. Minor Minor of an element aij = the determinant formed by removing the rows ‘i’ and column ‘j’ Eg: If A = Minor of 1 = A = Minor of 5= 1 2 4 2 5 7 3 8 0 5 7 8 0 1 4 3 0 1 2 4 2 5 7 3 8 0 1 2 4 2 5 7 3 8 0 21NJ Jaissy
  • 22. Determinant of a 3x3 Matrix a b c d e f g h i a e f b d f c d e h i g i g h Minor of a Minor of b Minor of c a(ei – fh) - b(di – gf) +c(dh – eg) 22NJ Jaissy
  • 23. Determinant of a 3x3 matrix If A = 1 2 -3 find IAI 2 -1 2 3 2 4 = 1 -1 2 2 2 2 -3 2 -1 2 4 3 4 3 2 minor of 1 minor of 2 minor of 3 1(-4-4) – 2(8-6) + -3 (4+3) = -8+4-21= -33 23NJ Jaissy
  • 24. Question Set 2 3. Find the determinant of : a) 1 2 7 b) 2 3 6 3 -1 0 1 -4 0 6 8 10 -1 2 8 c) 4 6 -1 d) 2 5 1 0 10 2 -5 4 -7 3 5 9 3 1 0 386 -108 140 -100 24NJ Jaissy
  • 25. Question Set 1 8. For the matrix A = 4 5 6 and B = 7 9 2 1 3 10 2 -5 2 2 Multiply by the Matrix I = 1 0 0 1 0 0 1 0 0 1 0 0 1 What is A.I and I.B? 25NJ Jaissy
  • 26. Identity Matrix If you were to multiply ‘a’ by ‘1’, you would get ‘a’ . Eg: 2 x 1 = 2x1 =2 The ‘identity’ matrix (i) is the equivalent of ‘1’ in basic math If A is a matrix and I is an identity Matrix, Then A x I = A and I x A = A. Identity Matrices: 1 0 1 0 0 0 1 0 1 0 0 0 1 Then A x I = A and I x A = A a b 1 0 a+0 0+b a b c d 0 1 c+0 0+d c d 26NJ Jaissy
  • 27. Inverse of a Matrix In basic math: 2 2 = 1 and 1/2 x 2 = I. Dividing 2 by two is the same as multiplying 2 by 1/2 . The net result is 1. A similar concept is the ‘inverse’ of a matrix. If A is a matrix, then A is the inverse such that Ax A = I (identity matrix) If A has an inverse (A ) then A is said to be ‘invertible’ A .A = A.A = I 27NJ Jaissy
  • 28. Inverse of a 2x2 matrix Matrix A = a b c d A 1 d -b IAI -c a Determinant of A Adjoint of A Switch positions of a and d, Change the sign of b and c = ad - bc 28NJ Jaissy
  • 29. Inverse of a 2x2 matrix Find the inverse of IAI = (2x5) – (3x4) = 10-12 = -2 A = 1 A = 2 3 4 5 - 3 - 4- 2 5 2 -5/2 3/2 2 -1 Adjoint: Switch positions of 2 and 5, Change the sign of 3 and 4 29NJ Jaissy
  • 30. Question Set 2 Find the inverse of the following matrices: A = B = C = D = Verify that A.A and D. D = the identity matrix! 2 1 3 4 5 1 2 0 6 2 7 1 4 2 5 1 4/5 -1/5 -3/5 2/5 0 1/2 1 -5/2 1/8 -1/4 -7/8 3/4 -1/6 1/3 5/6 -2/3 30NJ Jaissy
  • 31. Question Set 3: Revision of basic concepts! 3 -2 5 -1 0 1 4 2 a) What is AB and B’A’? b) Find the inverse of A and inverse of B c) Verify that A.A and B B. = identity matrix A = B = AB = 7 -7 4 2 B’A’ = 7 4 -7 2 1/3 2/3 0 1 1/7 1/14 -2/7 5/14A B 31 NJ Jaissy
  • 32. Question Set 3 : Revision of basic concepts! 2 4 1 7 9 0 8 2 1 A = B = 2 - 1 -3 7 9 0 8 2 1 a) Find AB and (BA)’ b) What is the determinant of A and B? i.e. what is IAI and IBI ? 32NJ Jaissy
  • 33. Question Set 3 A class of MBA students comprising boys and girls went for an industrial visit. There were 59 first year students and 41 second year students. Of the 1st year students, 32 were girls while the 2nd year students had 17 boys. If the dean has to select a student at random: a) What is the probability that the student is a 1st year student b) What is the probability that the student is a boy? c) If the selection is made from only 1st year students, what is the probability the student is a boy? d) Given that the selection is made from girls, students, what is the probability the student is a 2nd year student e) If 2 students are chosen at random to be representatives, what is the probability that we will get a 1st year student or a 2nd year student? f) If 2 students are chosen at random to be representatives, what is the probability that we will get a girl and a boy? 33NJ Jaissy
  • 34. Inverse of a 3x3 matrix In general Inverse of Matrix A = A = I x Adjoint A IAI a) We know how to find the Determinant of a 3x3 matrix b) Now we have to find the Adjoint of a 3x3 matrix 34NJ Jaissy
  • 35. Adjoint of a 3x3 matrix 1. Find the Matrix of Minors 2. Find the Matrix of Co-factors by applying the following signs: + - + (i+j) - + - derived from (-1) + - + 3. Transpose the matrix of Cofactors 4. This is the adjoint! A = I x Adjoint A IAI 35NJ Jaissy
  • 36. Eg: 2- Inverse of a 3x3 matrix: Gauss Jordan Reduction method -2 R3+ R2 R3 R1 + R3 R1 1 2 -1 0 1 0 0 -1 1 1 0 0 4 1 0 4 0 1 1 2 -1 0 1 0 0 0 1 1 0 0 4 1 0 8 1 1 1 2 0 0 1 0 0 0 1 9 1 1 4 1 0 8 1 1 36NJ Jaissy
  • 37. Eg: 2- Inverse of a 3x3 matrix: Gauss Jordan Reduction method -3 A = R1-2 R2 R1 1 2 0 0 1 0 0 0 1 9 1 1 4 1 0 8 1 1 1 0 0 0 1 0 0 0 1 1 -1 1 4 1 0 8 1 1 1 -1 1 4 1 0 8 1 1 37NJ Jaissy
  • 38. Question set 4: Find the inverse 1 0 1 0 2 1 1 1 1 A = -1 -1 2 -1 0 1 2 1 -2 A = B = 2 3 0 1 -2 -1 2 0 -1 2 3 -3 -1 -2 2 4 6 -7 B = 38NJ Jaissy
  • 39. Question Set 4 – Find the inverse 0 1 2 1 2 3 3 1 1 C = 1/2 -1/2 1/2 -4 3 -1 5/2 -3/2 1/2 C = 2 3 4 4 3 1 1 2 4 D = -2 4/5 9/5 3 -4/5 -14/5 -1 1/5 6/5 D = 39NJ Jaissy
  • 40. e) Find Inverse of Matrix A : Question Set 4 A = A = 1 -1 1 4 1 0 8 1 1 1 2 -1 -4 -7 4 -4 -9 5 40NJ Jaissy
  • 41. f) Find Inverse of Matrix A : Question set 4 1 3 3 1 4 3 1 3 4 A = A = 7 -3 -3 -1 1 0 -1 0 1 41NJ Jaissy
  • 42. Application of Inverse! Solving of equations: Find x and y: 2x - 3y = 3 4x - y= 11 2 -3 x 3 4 -1 y 11 A X B X = A B x = 3 y = 1 42NJ Jaissy
  • 43. Application of Inverse: Solving of equations! x + y + z = 7 x+ 2y +3z= 16 x +3y +4z = 22 1 1 1 x 7 1 2 3 y 16 1 3 4 z 22 A X = B X = A B x = 1, y = 3, z = 3 43NJ Jaissy
  • 44. Cramer’s Rule: (Using Determinants) a1x + b1y + c1z = m1 a2x + b2y +c2 z = m2 a3x + b3y +c3z = m3 X = IDxI y = Dy z = Dz IDI IDI IDI m1 b1 c1 m2 b2 c2 m3 b3 c3 a1 b1 c1 a2 b2 c2 a3 b3 c3 a1 b1 c1 a2 b2 c2 a3 b3 c3 x y z m1 m2 where m3 a1 b1 m1 a2 b2 m2 a3 b3 m3 a1 b1 c1 a2 b2 c2 a3 b3 c3 a1 m1 c1 a2 m2 c2 a3 m3 c3 a1 b1 c1 a2 b2 c2 a3 b3 c3 44 NJ Jaissy
  • 45. Solve using Cramer’s rule & Using Inverse: a) x + 6y – z = 10 2x + 3y +3z = 17 3x – 3y- 2z = -9 b) x + y + z = 9 2x + 5y +7z = 52 2x + y – z = 0 x = 1, y = 2, z = 3 x = 1, y = 3, z = 5 45NJ Jaissy
  • 46. 1. Solve the following equation using Matrix theory: 2x + y +6z – 46 = 0 7x + 4y -3z = 19 5x -6y +42 = 15 Hint: Write in the standard equation form with x, y, z on left & numbers on right Solve for X,Y, Z Question Set 5: 46NJ Jaissy
  • 47. Question Set 5: 2. Using the matrices L = l m n X = x y z A = a b c p q r u v w d e f Verify that L+ (X+A) = (L+X) + A Hint: Find ( X+A) and (L+X) first Then compute L+(X+A) and (L+X) + A 47NJ Jaissy
  • 48. Question Set 5: 3. An Automobile company uses three types of steel, S1,S2 and S3 for producing 3 different cars, C1, C2 and C3. Steel requirements in tons for each type of car and total available steel of all the three types is given below: Determine the number of cars of each type using matrix inverse method Type of Car C1 C2 C3 Total Steel Available Type of Steel 2 3 4 1 1 2 3 2 1 29 13 16 S1 S2 S3 48NJ Jaissy
  • 49. Question Set 5 4. Solve by matrix method: 2x + 4y + z = 5 x + y + z = 6 2x + 3y +z = 6 Hint: Here since no one method is specified, you can use either the matrix inverse method or Cramer’s rule to solve these equations for x, y, z 49NJ Jaissy
  • 50. Question Set 5 5. The prices of 3 commodities X,Y Z are not known. A sells 5 units of X, 4 units of Z and purchases 6 units ofY. B sells 7 units of X, 4 units ofY and purchases 3 units of Z. C sells 2 units of X, one unit ofY and 6 units of Z. In this process,A, B and C earn respectively Rs. 15, Rs. 19 and Rs. 46. Find the prices of the commodities X,Y and Z (Hint:Write in equation form and solve for x, y and z. 5x +4z -6y= 15, 7x+4y-3z = 19 2x + y +6z = 46 ) 50NJ Jaissy
  • 51. Get the Signs right! Reference sheet -5 + 1 = - 4 -6 – 2 = - 8 9 – ( -4) = 9+4 = 13 -4 – ( -5) = -4 + 5 = 1 -7 +9 = 2 -4 x -8 = 32 -4 x 9 = -36 - 2 x -1/2 = 1 51NJ Jaissy
  • 52. Properties of determinants -1 Value of a determinant does not change if rows and columns are interchanged ( ie when transposed) a b c a d g d e f b e h g h I c f i 52NJ Jaissy
  • 53. Properties of determinants - 2 If any two rows or columns are interchanged, sign of the determinant changes a b c b a g d e f e d h g h I h g I a b c d e f d e f a b c g h I g h i C1<> C2 R1<> R2 53NJ Jaissy
  • 54. Properties of determinants - 3 If any two rows or columns of a determinant are equal, value of determinant = 0 (zero) a c c a b c d f f d e f g i i a b c 2 4 3 3 1 2 3 1 2 C2= C3 R1= R3 54NJ Jaissy
  • 55. Properties of determinants - 4 If all elements of a row or column are multiplied by a scalar ‘k’, then the determinant becomes k times original value a b c ka kb kc d e f d e f g h I g h I 1 0 2 3 0 6 4 5 2 4 5 2 2 3 1 2 3 1 K 3 55NJ Jaissy
  • 56. Properties of determinants - 5 If every element of a row ( or column) is sum of 2 numbers, then the given determinant can be expressed as a sum of two determinants such that the first elements appear in one determinant and second in another a +k b c a b c k b c d +l e f d e f l e f g +i h I g h I g h i 56NJ Jaissy
  • 57. Properties of determinants - 6 If a constant multiple of the elements of a row or column are added to the corresponding elements of another row or column, determinant value = 0 a b c a b c d e f d e f g h I g+ka h+kb I+kc 57NJ Jaissy
  • 58. Question Set 6: Properties of determinants example - 1 2 4 5 4 2 5 1 2 3 2 1 3 0 1 4 1 0 4 Are determinants of A & B equal? Hint: Check if any rows / columns are the same or interchanged Ans: C1<>C2, therefore IAI = - IBI A = B = 58NJ Jaissy
  • 59. Question Set 6: Properties of determinants example - 2 2 3 1 2 0 1 0 2 1 3 2 4 1 4 5 1 1 5 Are determinants of A & B equal? Hint: Check if any rows / columns are the same or interchanged Ans:All rows of A = columns of B therefore IAI = IBI A = B = 59NJ Jaissy
  • 60. Question Set 6: Properties of determinants example - 3 2 4 3 3 1 2 6 2 4 Determine the value of IAI without computing? Hint: Check if any rows / columns are multiples / the same Ans R3 = 2R1 & R3 = R1, therefore IAI = 0 IAI = 2 4 3 3 1 2 3 1 2 IAI = 2 60NJ Jaissy