Matrix Algebra Prepared by Deluar Jahan Moloy Lecturer Northern University Bangladesh.
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Transcript of Matrix Algebra Prepared by Deluar Jahan Moloy Lecturer Northern University Bangladesh.
MatrixA matrix is a rectangular or square array of numbers or values arranged in rows and columns enclosed by a pair of brackets or a pair of double bars or a pair of parentheses. Matrix are generally denoted by capital letters such as A, B, C…..
For examples,
762
3510,
963
852
741
,53
42
WXA
Rows and Columns
The horizontal and vertical lines in a matrix are called rows and columns respectively.
For example
Row
column
53
42
Elements
The numbers or values in the matrix are called its entries or its elements.
For example,
Here 10, 5, 3, 2, 6 and 7 are called elements.
762
3510
Dimension or its order
The number of rows and columns that a matrix has is called its dimension or its order. It is denoted by .Where m represents no. of rows and n represents no. of columns.
By convention, rows are listed first and columns are second.
nm
Examples
We would say that the dimension (or order) of the 3rd matrix is 2 x 3, meaning that it has 2 rows and 3 columns.
3233
22762
3510,
963
852
741
,53
42
Row matrix
A matrix with only one row (a 1 × n matrix) is called a row matrix.
For example,
A = is a 1 × 4 matrix. 2,0,20,1
Column matrix
A matrix with one column (an m × 1 matrix) is called a column matrix.
For example,
A = is a 4 × 1 matrix.
8
6
6
5
Square matrix
A matrix is said to be square matrix if no. of rows and no. of columns are equal.
For example,
is a 2× 2 square matrix.
is a 3 × 3 square matrix.
2253
42
33963
852
741
Unit or Identity matrix
A square matrix whose diagonal elements are unity (or one) and the remaining elements are zero is called Identity matrix.
For example
33100
010
001
Null or Zero Matrix
A matrix each of whose elements are zero is called zero or null matrix.
For example,
are null or zero matrices.32
33
000
000
000
000
000
and
Transpose Matrix
The transpose of one matrix is another matrix
that is obtained by using rows of the first matrix
as columns of second matrix. For example,
Then transpose of a is denoted by
db
caA
dc
baAc
Equal matrices
Two matrices are said to be equal if and only if
1. They are of the same order, i.e. they
have the same number of rows and
columns and
2. Each element of one is equal to the
corresponding elements of the other.
Addition of matrices
To add two matrices A and B: # of rows in A = # of rows in B # of columns in A = # of columns in B
The sum is obtained by adding each element of A with corresponding element of B.
Subtraction of matrices
To subtract two matrices A and B: # of rows in A = # of rows in B # of columns in A = # of columns in B
The difference is obtained by subtracting each element of B from the corresponding element of A.
Addition and subtraction of matrices
If
Then
A + B = possible or not
C + B = possible or not
A + C = possible or not
A - B = possible or not
C - B = possible or not
A - C = possible or not
36
62
853
1066
901
,53
61CandBA
Scalar Multiplication of a matrix
A real number is referred to as a scalar when it occurs in operations involving matrices.
If A is an m × n matrix and k is a scalar, then we let kA denote the matrix obtained by multiplying every element of A by k.
Multiplication of Matrices
If A and B are two matrices such that the number of
columns (n) in A is equal to the number of rows
(m) in B, then the product of A and B denoted by
AB. (The number of columns (n) in first matrix
must equal the number of rows (m) in 2nd matrix in
order to carry out the matrix multiplication.)
Multiplication of Matrices
To multiply two matrices A and B # of columns in A (1st matrix) = # of rows in
B (2nd matrix)
If and . Then matrix multiplication is possible. The product is denoted by AB=A.B.
nmA pnB