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MATRICES BY ALFIA MAGFIRONA D100102004 CIVIL ENGINEERING DEPARTEMENT ENGINEERING FACULTY MUHAMMADIYAH UNIVERSITY OF SURAKARTA

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Page 1: Matrix2 english

MATRICES

BY ALFIA MAGFIRONAD100102004

CIVIL ENGINEERING DEPARTEMENTENGINEERING FACULTY

MUHAMMADIYAH UNIVERSITY OF SURAKARTA

Page 2: Matrix2 english

MATRICES - OPERATIONS

MINORS

If A is an n x n matrix and one row and one column are deleted, the resulting matrix is an (n-1) x (n-1) submatrix of A.

The determinant of such a submatrix is called a minor of A and is designated by mij , where i and j correspond to the deleted

row and column, respectively.

mij is the minor of the element aij in A.

Page 3: Matrix2 english

333231

232221

131211

aaa

aaa

aaa

A

Each element in A has a minor

Delete first row and column from A .

The determinant of the remaining 2 x 2 submatrix is the minor of a11

eg.

3332

232211 aa

aam

Page 4: Matrix2 english

Therefore the minor of a12 is:

And the minor for a13 is:

3331

232112 aa

aam

3231

222113 aa

aam

Page 5: Matrix2 english

E. COFACTOR OF MATRIX

If A is a square matrix, then the minor of its entry aij, also known as the i,j, or (i,j), or (i,j)th minor of A, is denoted by Mij and is defined to be the determinant of the submatrix obtained by removing from A its i-th row and j-th column. It follows:

ijji

ij mC )1(

When the sum of a row number i and column j is even, cij = mij and when i+j is odd, cij =-mij

131331

13

121221

12

111111

11

)1()3,1(

)1()2,1(

)1()1,1(

mmjic

mmjic

mmjic

Page 6: Matrix2 english

333231

232221

131211

333231

232221

131211

MMM

MMM

MMM

CCC

CCC

CCC

The Formula :

Page 7: Matrix2 english

DETERMINANTS CONTINUED

The determinant of an n x n matrix A can now be defined as

nncacacaAA 1112121111det

The determinant of A is therefore the sum of the products of the elements of the first row of A and their corresponding cofactors.

(It is possible to define |A| in terms of any other row or column but for simplicity, the first row only is used)

Page 8: Matrix2 english

Therefore the 2 x 2 matrix :

2221

1211

aa

aaA

Has cofactors :

22221111 aamc

And:

21211212 aamc

Page 9: Matrix2 english

For a 3 x 3 matrix:

333231

232221

131211

aaa

aaa

aaa

A

The cofactors of the first row are:

312232213231

222113

312333213331

232112

322333223332

232211

)(

aaaaaa

aac

aaaaaa

aac

aaaaaa

aac

Page 10: Matrix2 english

F. ADJOINT OF MATRIX

The adjoint matrix for 2 x 2 square matrix

A = , so Adjoint of matrix A is

Elements in the first diagonal of matrix is exchanged, and the second diagonal of matrix is just changed mark.

Page 11: Matrix2 english

A =

first diagonal of matrix

second diagonal of matrix

Adj A =

Page 12: Matrix2 english

PROBLEM

Find Adjoint of matrix

We can use the formula of The adjoint matrix for 2 x 2 square matrix.So,

Adj

Page 13: Matrix2 english

The adjoint matrix for 3 x 3 square matrix

OR

Page 14: Matrix2 english

To determine the adjoint matrix for 3 x 3 square matrix is used cofactor matrix in each elements in the square of matrix.

Page 15: Matrix2 english

It uses cofactor of matrix A1.1 to fill in fisrt rows of A and for the others we must use others cofactor.

Don’t forget to obseve the mark : (+) or (-)

Page 16: Matrix2 english

PROBLEM

Find Adjoint of matrix

Solution :

OR

Page 17: Matrix2 english

Adj

or

Adj

Page 18: Matrix2 english

G. INVERSE OF MATRIX

It is easy to show that the inverse of matrix is uniqe and the inverse of the inverse of A is A-1

but there is also many properties inverse matix; that is,

a. 𝑨−𝟏 = 𝒂𝒅𝒋 𝑨ȁ𝑨ȁ the inverse of matrix 𝑨= (𝒂𝒊𝒋)

b. 𝑨𝑨−𝟏 = 𝑨−𝟏𝑨= 𝑰 (𝒊𝒅𝒆𝒏𝒕𝒊𝒕𝒚) For any nonsingular matrix A c. ሺ𝒂𝒅𝒋𝑨ሻ𝑨= 𝑨ሺ𝒂𝒅𝒋𝑨ሻ= ȁ𝑨ȁ𝑰 For any square matrix A

d. ห𝑨−𝟏ห= 𝟏ȁ𝑨ȁ If A is nonsingular

e. 𝑨𝑿= 𝑩, 𝑿= 𝑨−𝟏𝑩 If A is an m x n nonsingular matrix, 𝑿𝑨= 𝑩, 𝑿= 𝑩𝑨−𝟏 If B is an n x m matrix, and there

exist matrix X f. ሺ𝑨𝑩ሻ−𝟏 = 𝑩−𝟏𝑨−𝟏 For any two nonsingular matrices A and B

Page 19: Matrix2 english

A square matrix that has an inverse is called a nonsingular matrix

A matrix that does not have an inverse is called a singular matrix

Square matrices have inverses except when the determinant is zero

When the determinant of a matrix is zero the matrix is singular

Page 20: Matrix2 english

EXAMPLE

1.03.0

2.04.0

13

24

10

11A

43

21A =

To check AA-1 = A-1 A = I

IAA

IAA

10

01

43

21

1.03.0

2.04.0

10

01

1.03.0

2.04.0

43

21

1

1

Page 21: Matrix2 english

Example 2

121

012

113

A

|A| = (3)(-1-0)-(-1)(-2-0)+(1)(4-1) = -2

),1(

),1(

),1(

31

21

11

c

c

c

The determinant of A is

The elements of the cofactor matrix are

),2(

),4(

),2(

32

22

12

c

c

c

),5(

),7(

),3(

33

23

13

c

c

c

Page 22: Matrix2 english

521

741

321

C

The cofactor matrix is therefore

so

573

242

111TCadjA

and

5.25.35.1

0.10.20.1

5.05.05.0

573

242

111

2

11

A

adjAA