T2 (B) Eng Math 4 2 20102011

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 UNIVERSITI TUN HUSSEIN ONN MALAYSIA FACULTY OF SCIENCE, ARTS & HERITAGE SEMESTER II 2010/2011 BSM 3913 / BWM 30603 TEST 2 (20%) Make Up Test DURATION : 75 MIN ANSWER ALL QUESTIONS. ALL THE CALCULATION MUST BE IN 3 DECIMAL PLACES. USE 0.005 ε = . Q1 Refer to the table below, by taking the appropriate h , find ) 65 . 2 (  y and ) 65 . 2 (  y by using 5 point difference formula. t 2.55 2.60 2.65 2.70 2.75 2.80 ) (t  y  3.422 3.301 3.237 3.185 3.104 3.063 (4 marks) Q2 Evaluate π 0 sin 2 t dt by using the suitable Simpson’s rule with 10 subintervals. (6 marks) Q3 Approximate       + 2 1 2 1 dx  x  x using 2-points Gauss quadrature. (6 marks) Q4 Find the smallest eigenvalue (in absolute value)  smallest λ and its corresponding eigenvector ( ) k v of matrix 1 2 0 2 1 2 1 3 1  A =   by using shifted power method. Given th e dominant eigenvalue, Largest 2.932 λ = and trial value of ( ) ( ) 0 0.543 0.728 1 T = v , iterate until three iterations. (7 marks) Q5 Solve the following first order initial value problem (IVP) 2 2 xy  y  y = at 1 ) 2 . 0 ( 0 =  x with initial condition 1 ) 0 ( =  y by using (a) second order Taylor’s series method, (9 marks) (b) fourth order Runge-Kutta method (RK4). For this method, solve for ) 2 . 0 (  y , ) 4 . 0 (  y and ) 6 . 0 (  y only. (8 marks) April 2011 STRIKE FOR SUCCESS [Total marks : 40 ] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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UNIVERSITI TUN HUSSEIN ONN MALAYSIA

FACULTY OF SCIENCE, ARTS & HERITAGE

SEMESTER II 2010/2011

BSM 3913 / BWM 30603 TEST 2 (20%) – Make Up Test DURATION : 75 MIN

ANSWER ALL QUESTIONS. ALL THE CALCULATION MUST BE IN 3 DECIMAL

PLACES. USE 0.005ε  = . 

Q1 Refer to the table below, by taking the appropriate h , find )65.2( y′ and )65.2( y ′′ by

using 5 point difference formula.

t  2.55 2.60 2.65 2.70 2.75 2.80

)(t  y   3.422 3.301 3.237 3.185 3.104 3.063

(4 marks)

Q2 Evaluate

∫ −

π 

0 sin2 t 

dt by using the suitable Simpson’s rule with 10 subintervals.

(6 marks)

Q3 Approximate ∫  

  

 +

2

1

21

dx x

 x using 2-points Gauss quadrature.

(6 marks)

Q4 Find the smallest eigenvalue (in absolute value)  smallest λ  and its corresponding

eigenvector ( )k 

v of matrix

1 2 0

2 1 2

1 3 1

 A

= −

 

 by using shifted power method. Given the dominant eigenvalue,Largest

2.932λ  = and

trial value of ( ) ( )0

0.543 0.728 1T 

= −v , iterate until three iterations.

(7 marks)

Q5 Solve the following first order initial value problem (IVP) 22 xy y y −=′ at

1)2.0(0= x with initial condition 1)0( = y by using

(a) second order Taylor’s series method,

(9 marks)

(b) fourth order Runge-Kutta method (RK4). For this method, solve for  )2.0( y ,

)4.0( y and )6.0( y only.

(8 marks)

April 2011 STRIKE FOR SUCCESS [Total marks : 40 ]~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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LIST OF FORMULA

5-point difference:( 2 ) 8 ( ) 8 ( ) ( 2 )

( )12

 f x h f x h f x h f x h f x

h

− + + + − − + −′ ≈  

5-point difference: 2

( 2 ) 16 ( ) 30 ( ) 16 ( ) ( 2 )( )12

 f x h f x h f x f x h f x h f xh

− + + + − + − − −′′ ≈  

Simpson’s1

3rule:

1 2

0

1 2odd even

( ) 4 23

n nb

n i ia

i ii i

h x dx f f f f 

− −

= =

≈ + + +

∑ ∑∫  

Simpson’s3

8rule:

[ ]0 1 2 4 5 2 1 3 6 6 3

3( ) 3( ) 2( )

8

b

n n n n na

 f x dx h f f f f f f f f f f f f − − − −≈ + + + + + + + + + + + + +∫ K K  

Gauss quadrature: 2-points:  

  

 +

 

  

 −≈∫

−3

1

3

1)(

1

1

 g  g dx x f   

Shifted Power Method: K,2,1,0,1

)(

)1( ==+

+ k m

 A

Shifted k v

v

 

Second order Taylor series method:

2

1( ) ( ) ( ) ( )2!i i i i

h

 y x y x hy x y x+

′ ′′= + +, 0,1,2,i

=K

 

Fourth-order Runge-Kutta Method: )22(6

143211 k k k k  y y ii ++++=+  

where ),(1 ii y xhf k  =   )2

,2

( 12

k  y

h xhf k  ii ++=  

)2

,2

( 23

k  y

h xhf k  ii ++= ),( 34 k  yh xhf k  ii ++=  

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Answer Scheme of Test 2 (Make-up) Sem II 10/11

Q1

667.403.0

422.3)301.3(16)327.3(30)185.3(16104.3)65.2(

017.16.0

422.3)301.3(8)185.3(8104.3)65.2(

=−+−+−

≈′′

−=+−+−

≈′

 y

 y

 

M1A1

M1A1 4

Q2  i   t   ( )t 

t  f sin21

−=  

0

1

2

3

4

5

6

7

8

9

10

01/π    10/2π   1/π    10/3π   

10/4π   

10/5π   

10/6π   

10/7π   

10/8π   

10/9π   π 

 

0.500

0.591

0.708

0.840

0.953

1.000

0.953

0.840

0.708

0.591

0.500

1.000 3.862 3.322

( ) ( )[ ] 418.2322.32862.34000.1103

1

sin20

=++ 

  

 =

−∫π 

π 

dt  

M1

M1

M1

M1

M1

A1 

6

Q3

2

2

3

2

12)12(

dt dx

t t  x

=

+=

++−=

 

[ ] 830.4512.5149.42

1

3

2

2

3

2

1

23

2

2

31

1

1

)(

2

1

1

22

1

2

=+=

 

  

 

++

+=

 

  

 

++

+=

 

  

 +

∫∫

dt t 

dt 

t dx

 x x

t  g 

4 4 34 4 21

 

M2

A1

M1

M1

A1

6

Q4 Shifted 1 Largestor 

1 2 0 1 0 0 1.932 2 0

2 1 2 2.932 0 1 0 2 1.932 2

1 3 1 0 0 1 1 3 1.932

 A A I A I λ λ = − −−

= − − = − − −

 

k  ( )

T k 

v    A shifted  ( )k v   1+k m  

0 0.543 0.728−   1 2.505−   2.320 3.573−   3.573−  

1 0.701 0.650−   1 2.654−   1.854 3.181−   3.181−  

2 0.834 0.583−   1 2.777−   1.458 2.847−   2.847−  

3 0.975 0.512−   1

A1

M1

A3

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By three iterations, therefore the largest eigenvalue for matrixShifted A is

Shifted 3 2.847mλ  ≈ = − .

Smallest Shifted Largest Shifted Largestor 2.847 2.932 0.085λ λ λ λ λ  ∴ = + + = − + =  

and its corresponding eigenvector is

( )(3)

Shifted 0.975 0.512 1T 

v v≈ = − .

M1

A1

Q5(a) x yy y y y

 xy y y

'2'2"

2

2

2

−−=

−=′ 

)2(2)2(2 222  xy y xy y xy y −−−−=  

″+

′+=+ iiii y y y y 02.02.01  

ii

 x  i

 y  

0 0 1.000

1 0.2 1.460

2 0.4 1.987

3 0.6 2.406

4 0.8 2.535

5 1.0 2.395

M1

M2

A1

M1

A4

9

Q5(b)  22),( xy y y x f  −=  ( )222.0 xy yk 

i−=  

x y K1 K2 K3 K4

0 1 0.4 0.451 0.460 0.499

0.2 1.454 0.497 0.497 0.508 0.477

0.4 1.955 0.476 0.396 0.398 0.277

0.6 2.345

M2

M1

A5

each

column

8