Algebra of matrices Assignment Help

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Algebra of matrices:

Addition and Subtraction of Matrices:

Any two matrices may be included if they are of the similar order and the resulting matrix is of the similar order.  If two matrices A and B are of the exact order, they know as conformable for addition.

For example: 1144_Algebra of matrices5.png            

Similarly, 834_Algebra of matrices6.png

Notes:                       

  • Only matrices of the similar order may be subtracted or added.

 

Scalar Multiplication:

The matrix calculated by multiplying each and every element of a matrix A by a scalar l is known as the scalar multiple of A by l .

For example:   1680_Algebra of matrices7.png                               

Therefor, 918_Algebra of matrices8.png

 

Properties:   

All the rules of general algebra hold for the subtraction or addition of matrices and their multiplication by scalars.

(i).           If A and B be two matrices of the similar order and if k be a scalar, then

                k(A + B) = kA + kB

(ii).          If k1 and k2 are two scalars and if A is a matrix, then

                (k1 + k2)A = k1A + k2A and k1(k2A) = k2(k1A)

Multiplication of Matrices:

Two matrices may be multiplied only when the number of columns in the first is same to the number of rows in the second.  Such matrices are called conformable for multiplication.

2201_Algebra of matrices.png

where cij = ai1 b1j + ai2 b2j + .......+ ain bnj2073_Algebra of matrices1.png

Example:    2381_Algebra of matrices2.png and 1410_Algebra of matrices3.png, show that AB ≠ BA.

 

Solution:       

                       1230_Algebra of matrices4.png

                        Thus A .B  ≠ B . A.

Notes:           

  • Commutative law does not essentially hold for matrices.
  • Matrix multiplication always associative.
  • Matrix multiplication always distributive with respect to addition.
  • If A is a square matrix of order n and if In is an identity matrix of order n, then AIn=InA=A.
  • If I be a unit matrix, then I = I2 = I3 = ...... = In.

 

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