Paper 4: Fundamentals of Business Mathematics & Statistic

(singke) #1
FUNDAMENTALS OF BUSINESS MATHEMATICS AND STATISTICS I 2.57

SELF EXAMINATION QUESTIONS


(1) Find A3x3 where aij


1 1 13


i^2

Ans. 2 (^123)
j 3 3
2 1


  


  


=   


  


  


  


(2) Find A2x3 where aij = +i 2 jAns.3 5 74 6 8
  


TYPE OF MATRICES



  1. RowMatrix
    A matrix having only one row and n columns is called row matrix. i.e. [a 11 a 12 a 13 ..... a1n]1xn
    For example [2 3 4 5]1x4

  2. Column Matrix


A matrix having only m rows and one column is called column matrix i.e.

11
21

m1

a
a
:
a

i.e.
4 x1

1


2


3


4


 


 


 


 


 


 



  1. Square Matrix
    A matrix order m x n called square matrix where m = n, i.e., it has same numbers of rows and columns.
    Say for example


2 x 2 3 x 3

1 2 a b c
3 4 d e f
g h i

   


 


    


 



  1. Diagonal Matrix
    A square matrix having main diagonal elements non zero and other elements are zero is called diagonal
    matrix.


2 x 2 ' 3 x 3

a 0^100
0 b^020
0 0 3

   


   


   


 



  1. Scalar Matrix
    A diagonal matrix having each diagonal element equal is called scalar matrix.
    For i.e.


2 x 2 ' 3 x 3

k 0 a^00
0 k^0 a^0
0 0 a

   


 


    


 

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