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OPERATIONS ON MATRICES
1) MATRIX ADDITION:
The sum of two matrices is a matrix obtained by adding the corresponding elements of the given matrix.
If
is a 2 x 2 matrix and
is another 2 x 2 matrix, then

Or
If A = [aij] and B = [bij] then,
A + B = [aij] + [bij] = [aij + bij] for all i and j.
Example: Given
and
, find A + B.
Solution:
If
is a 2 x 2 matrix and
is another 2 x 2 matrix, then

Or
If A = [aij] and B = [bij] then,
A + B = [aij] + [bij] = [aij + bij] for all i and j.
Example: Given
and
, find A + B.Solution:
PROPERTIES OF MATRIX ADDITION:
- Commutative Property: If A = [aij] and B = [bij] are two matrices of same order, then A + B = B + A.
- Associative Property: If A = [aij] and B = [bij] and C = [cij] are matrices of same order, then (A + B) + C = A + (B + C).
- Additive Identity: If A = [aij] be a matrix of order mx n and O be a zero matrix of order mx n, then A + O = O + A = A. Hence the matrix O is the additive identity for matrix addition.
- Additive Inverse: For every matrix A = [aij]mxn , there exists a matrix -A = [-aij]mxn such that A + (-A) = 0. The matrix -A is known as the additive inverse of A.
2) MATRIX MULTIPLICATION:
MULTIPLICATION OF A MATRIX BY A SCALAR:
If A = [aij]mxn is a matrix and k is a scalar, then k.A is another
matrix which is obtained by multiplying each element of A by the scalar k, that is,
k.A = k[aij]mxn = [k(aij)]mxn which means that (i, j)th element of kA is kaij.
Example:
If
then find 2A.
Solution:

k.A = k[aij]mxn = [k(aij)]mxn which means that (i, j)th element of kA is kaij.
Example:
If
then find 2A.Solution:

MULTIPLICATION OF MATRICES:
Two matrices A and B can be multiplied only if the number of columns of A is equal
to the number of rows of B. Hence, if A is a m x n matrix, then to find the product of
A with a matrix B, the matrix B must have n rows and any finite number of columns.
Let A be a matrix of order m x n and B is a matrix of order n x p, then the product matrix C of matrices A and B will be:
A x B = C
Hence the order of the product matrix C will be m x p.
To find the (i, j)th element of C which is cij, the ith row of A and jth column of B are taken and multiplied (element wise) and then the sum of all these products is obtained.
Hence, ith row of A = [ai1 ai2 ai3 .... ain]
And the jth column of
Hence cij = ai1. b1j + ai2. b2j + ai3. b3j + .... + ain. bnj
=
Example:
If
and
, then find AB.
Solution:
Hence
PROPERTIES OF MULTIPLICATION OF MATRICES:
3) ELEMENTARY OPERATIONS ON A MATRIX:
There are 3 operations which can be performed on matrices. Three of these operations are due to rows and three are due to columns. These are known as elementary operations or transformations.
Let A be a matrix of order m x n and B is a matrix of order n x p, then the product matrix C of matrices A and B will be:
A x B = C
Hence the order of the product matrix C will be m x p.
To find the (i, j)th element of C which is cij, the ith row of A and jth column of B are taken and multiplied (element wise) and then the sum of all these products is obtained.
Hence, ith row of A = [ai1 ai2 ai3 .... ain]
And the jth column of

Hence cij = ai1. b1j + ai2. b2j + ai3. b3j + .... + ain. bnj
=

Example:
If
and
, then find AB.Solution:
Hence

PROPERTIES OF MULTIPLICATION OF MATRICES:
- Associative Property: If A, B and C are any three compatible matrices, then A(BC) = (AB)C.
- Distributive Property: If A, B and C are any three compatible matrices, then
- A(B + C) = AB + BC
- (A + B)C = AC + BC
- Multiplicative Identity: For every square matrix A, there exists an identity matrix of the same order such that IA = AI =A.
3) ELEMENTARY OPERATIONS ON A MATRIX:
There are 3 operations which can be performed on matrices. Three of these operations are due to rows and three are due to columns. These are known as elementary operations or transformations.
- Interchange of any two rows or columns: If ith row (column) of a matrix is interchanged with the jth row (column), then it is represented by Ri ↔ Rj (Ci ↔ Cj).
- The multiplication of the elements of any row or column by a non-zero scalar: If the elements of ith row (column) are multiplied by a non-zero scalar, then it is represented byRi → k.Ri (Ci → k.Ci).
- The addition to the element of any row (column), the corresponding elements of any other row or column multiplied by any non-zero scalar. If k times the elements of jth row (column) are added to the corresponding elements of the ith row (column), then it is denoted by
Ri → Ri + k.Rj (Ci → Ci+ k.Ci).
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