Tuesday, September 21, 2010

Matrix

Matrix: Rectangular array of numbers enclosed in a set of brackets.


**Dimensions of a Matrix: The number of horizontal rows it has x the number of vertical columns.

*****Dimensions = 1) Addition/Subtraction. 2) Scalar multiplication.

* Matrix multiplication is NOT commutative.

Ex:      [3 4 5 6]
      dimensions: 1 x 4


Adding Matrices:

*To add matrices, you have to add the corresponding entries (you can only add matrices of the same size)

*Row by Column

Ex: [1 2 3] + [2 1 2] = [3 3 5]
      [1 0 2]    [1 0 3]     [2 0 5]

Subtarcting Matrices:

*To subtract matrices, you have to subtract the corresponding matrices.

*Row by Column


Scalar Multiplication: If a matrix is multiplied by a scalar, each element of the matrix is multiplied by that number.

* Multiply every entry by a commen #.

*Row by Column.

Ex: 2A = [1 2 3] >        2 (1)   2 (2)   2 (3)  =
              [5 0 -1]             2        4        6      =        [2 4 6]
                                     2(5)   2(0)   2(-2)   =      [10 0 -2]
                                      10      0        -2     =
Matrix multiplication:

*Matrix mutiplication involves both multiplication and addition.

*Matrix multiplication is NOT communitive.

*Order matter: communitive property.

Ex 1: [8 6]         [-1 7] =   [-28 44 ]
    [12 10] X   [6 -2] =    [48 64]
     [-3 2]                        [15 -25]                  


Ex 2: [5 0]     [-1 7] =      5(-1) + 0(6)    5(7) + 0(-2)
      [4 7] X [6 -2] =            -5+0            35+0         
                                            -5                 35             =   [5 35]
                                     4(-1) + 7(6)    4(7) + 7(-2)   =  [40 14]
                                         -4 + 42        28 + (-14)
                                             40                14
Identity Matrix for multiplication:

* The identity matrix, I, is a matrix that has all 1's in its diagonal, & 0's everywhere else.

Ex:



















The Inverse of a matrix:

* The inverse of matrix A, denoted A^-1, is a matrix such that the product of AA^-1 = I


Ex:


The determinate of a 2x2 Matrix:

* lAl = means det A = ad - bc
 A = [1 4]     6(1) - 4(3) =           -6
        [3 6]        6 - 12     =

* If det (A) = 0, the matrix does NOT have an inverse.




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