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PRESENTED BY:
   Nikhi jain
Salini bhadoria
Gunjan dwivedi
  Shilpi barua
  Ritu Tomar
ï‚— It is an collection of elements which is arranges in
  rows columns.
ï‚— It is the Combination of linear equation.
ï‚— It is Represented by these symbols:
ï‚—              , ,
  e.g. -

                    3*3
1.   Row matrices – A matrices which has only one row
     called row matrices e.g.-

                   [123]1*3
2. Column matrices – A matrices which has only one
   column is called column matrices e.g. –
3.   Square matrices – No. of the rows and No. of the
     column is same e.g.




4. Null matrices – Which all elements is equal to ‘0’
5.   Identity matrices – A square matrices who’s main
     diagonal is assinty value ‘1’ and each of the other
     element is ‘0’ e.g. -
                               ,


6.   Diagonal matrices – A square matrices all of who’s
     element expect those in the leading diagonal are ‘0’
     e.g. -
7.   Scalar matrices – A diagonal matrices in which all the
     elements of main diagonal is same called scalar
     matrices e.g.-
                             3*3

8.   Triangular matrices – there are two types: -
     Upper triangular – All the below elements are ‘0’



     Lower triangular – All the above elements are ‘0’
9.   Transpose Matrices – A matrices obtained by inter
     changing the rows and columns of a matrices A
                                                   It is
     denoted by A’ , AT e.g.:-
              A                  AT

10. Symmetric Matrices - A square matrices A is called
     symmetric matrices if it is equal to its transpose e.g.-
11. Skew Matrices - if A’ = -A is called skew matrices
   e.g.-
                                         2*2

12. Equal Matrices – If two matrices order and there
   corresponding element is same is called equal
   matrices

           If X
13. Algebraic Matrices – There are three type:-
  i.   Addition method - for addition of two matrices the
       order must be same e.g.:-

             A

                              +
ii.Subtraction method –For subtraction of two matrices
   the order must be same.
Example:-
            A


            A-B
Multiplication of method –
iii.
Example:-
 presentation on matrix

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presentation on matrix

  • 1. PRESENTED BY: Nikhi jain Salini bhadoria Gunjan dwivedi Shilpi barua Ritu Tomar
  • 2. ï‚— It is an collection of elements which is arranges in rows columns. ï‚— It is the Combination of linear equation. ï‚— It is Represented by these symbols: ï‚— , , e.g. - 3*3
  • 3. 1. Row matrices – A matrices which has only one row called row matrices e.g.- [123]1*3 2. Column matrices – A matrices which has only one column is called column matrices e.g. –
  • 4. 3. Square matrices – No. of the rows and No. of the column is same e.g. 4. Null matrices – Which all elements is equal to ‘0’
  • 5. 5. Identity matrices – A square matrices who’s main diagonal is assinty value ‘1’ and each of the other element is ‘0’ e.g. - , 6. Diagonal matrices – A square matrices all of who’s element expect those in the leading diagonal are ‘0’ e.g. -
  • 6. 7. Scalar matrices – A diagonal matrices in which all the elements of main diagonal is same called scalar matrices e.g.- 3*3 8. Triangular matrices – there are two types: - Upper triangular – All the below elements are ‘0’ Lower triangular – All the above elements are ‘0’
  • 7. 9. Transpose Matrices – A matrices obtained by inter changing the rows and columns of a matrices A It is denoted by A’ , AT e.g.:- A AT 10. Symmetric Matrices - A square matrices A is called symmetric matrices if it is equal to its transpose e.g.-
  • 8. 11. Skew Matrices - if A’ = -A is called skew matrices e.g.- 2*2 12. Equal Matrices – If two matrices order and there corresponding element is same is called equal matrices If X
  • 9. 13. Algebraic Matrices – There are three type:- i. Addition method - for addition of two matrices the order must be same e.g.:- A +
  • 10. ii.Subtraction method –For subtraction of two matrices the order must be same. Example:- A A-B
  • 11. Multiplication of method – iii. Example:-