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WWJMRD 2018; 4(3): 105-112 www.wwjmrd.com

International Journal Peer Reviewed Journal Refereed Journal Indexed Journal UGC Approved Journal Impact Factor MJIF: 4.25 E-ISSN: 2454-6615 Habeeb Kareem Abdulah Department of Mathematics, Faculty of Education for girls, University of Kufa, Najaf, Iraq Amal Khalaf Haydar

Department of Mathematics, Faculty of Education for girls, University of Kufa, Najaf, Iraq Kawther Reyadh Obead Department of Mathematics, Faculty of Education for girls, University of Kufa, Najaf, Iraq

Correspondence: Habeeb Kareem Abdulah Department of Mathematics, Faculty of Education for girls, University of Kufa, Najaf, Iraq

Solving Of Third Order Retarded Dynamical System

via Lambert W Function and Stability Analysis

Habeeb Kareem Abdulah, Amal Khalaf Haydar, Kawther Reyadh

Obead

Abstract

In this paper, we use the Lambert W function to derive a solution third order dynamical systems of retarded type. As well as we discuss analytical stability through illustrative examples.

Keywords:

Delay differential equations, Lambert W function, stability

1. Introduction

The Lambert W function grows in the modeling of phenomena in numerous fields of science and engineering. In physics, it is used for the purpose of quantum theory, plasma physics and solar physics and many other applications. (See, [6], [3] [7] and [4].)

Many researchers’ works on the Lambert W function to obtain analytical solutions of delay differential equations (see, [8], [3], and [2]). Also, many researchers are concerned with studying the stability of delay differential equations besides studying their solutions their (see, [1], [8], [9], [5]) the infinite branches the Lambert W function are defined in the following series [3]



 

 

 

0 1

1 k

)) ( (ln

))) ( (ln(ln ))

( ln(ln )

( ln ) ( W

i m

m k

m k im

k k

z z C

z z

z (1)

Where

ln

k

(

z

)

are the

k

th logarithm branch and the coefficients

C

im can be expressed in terms of nonnegative sterling numbers of first kind.

The principal branch (i.e., k = 0) of the Lambert W function can be represented by the following power series

1

1 0

!

)

(

)

(

W

n

n n

z

n

n

z

Where

z

C

[3].

Theorem (1.1) [3]. For any given

z

R

, the principal branch

W

0

(z)

of the Lambert W function defined by



e

z

) where

,

(

y

iy,

gy

-y

e

-where z

,

-x

x,

z

W

1

0

cot

1

1

)

(

0

Have the following properties:

1.

W

0

(

z

)

Is real and increasing if

(

1

,

)

e

z

.

(2)

~ 106 ~

2.

W

0

(

z

)

Is complex valued and decreasing negative real

part if , 1)

2 (

e z 

 .

3.

W

0

(

z

)

Is complex and purely imaginary parts if

2

 

z .

4.

W

0

(

z

)

Is complex valued with decreasing positive

real part if )

2 , ( 

z .

2. Solution of Retarded Dynamical Systems of Third Order and their stability

Consider the following third order retarded dynamical system with constant coefficients

) ( ) ( ) ( )

( )

(

0 1

2 2

2 3

3

T t by t y a t y dt

d a t y dt

d a t y dt

d (2)

With the initial delay condition

.

0

)

(

)

(

t

φ

t

, -T

t

y

If we assume that

a

2

3

,

a

1

3

2 and

a

0

3, then

equation (2) become (3)

We are concerned in finding the solution beside stability analysis for the equation (3) that’s a time delay

T

.

Let

λ

be a complex number and the solution of equation

(3) be of the formula

y

(

t

)

e

λt

.

Substituting

λt

e

t

y

(

)

in equation (3) gives (4) Which represents the transcendental characteristic equation of delay differential equation (3)? Multiplyingboth sides of

equation (4) by

e

λT

yields

b

λT

e

α

λ

)

3

(

. (5)

Taking the cubic root on both sides of equation (5) gives

3

3

)

(

b

λT

e

α

λ

. (6)

Since, every function

W

(

λ

)

which satisfies

()

)

(

e

W

W

can be expressed in terms of the Lambert

W

function [2]. Then the roots of the characteristic equation (4) can be found by writing equation (6) as follows:

.

3

3

3

)

3

3

(

)

3

3

(

b

e

T

e

(7)

Then

3

3

)

3

3

3

(

b

e

T

W

(8)

Thus, the characteristic roots of equation (4) is

α b

α T e T W T

λ  3 3 )

3 (

3 (9)

It is clear that the characteristic root

λ

depends on of the parameters

α, T

,

b

(in terms of

a

2

, a

1 and

a

0). Hence, the stability property of DDE (3) depends on those parameters. We have the general solution of the delay differential equation (3) as follows



i

t

i

λ

e

i

K

y(t)

 

0 ]

) 3 3 3 ( 3 [

-T, , t i

t α b α T e T i W T e i

K

   

 (10)

Since, the solution

y

(

t

)

is equal to the initial delay condition

(

t

)

for

t

 

-T,

0

, and then we have

 

0 ]

) 3 3 3 ( 3 [ )

( , t -T,

i

t α b α T e T i W T e i K

t  

 

 

(11)

Now, we find the coefficients

K

i by using the function

)

(

t

as follows:

The interval

-T,

0

can be partitioned into 2M parts such that M is a sufficiently large positive integer number.

] 0 2 [

] 2

3 2

2 [ ] 2

2 2

[ ] 2 [ ] 0 , [

, M -T

M T ,-T M T -T M T ,-T M T -T M T -T,-T

T          

 

Then, we find the values of the initial delay function

φ

(

t

)

at the endpoints of the above subintervals using (11) as follows

)

0

(

)

0

(

1

1

)

0

(

0

0

)

0

(

1

1

)

0

(

)

0

(

K

M

y

M

K

y

K

y

K

y

K

M

y

M

φ

)

2

(

)

2

(

1

1

)

2

(

0

0

)

2

(

1

1

)

2

(

)

2

(

M

T

M

y

M

K

M

T

y

K

M

T

y

K

M

T

y

K

M

T

M

y

M

K

M

T

φ

)

(

)

(

1

1

)

(

0

0

)

(

1

1

)

(

)

(

T

M

y

M

K

T

y

K

T

y

K

T

y

K

T

M

y

M

K

T

φ

(3)

We can write the above equations in matrix form as:

    

 

    

 

  

     

 

     

 

 

 

 

     

 

     

 

 

M K

M K

M K

T M y T M y

M T M y M

T M y

M y M

y

T φ

M T φ φ

   

 

1 )

( )

(

) 2 ( )

2 (

) 0 ( )

0 (

) (

) 2 (

) 0 (

). ( ) ( )

(T,M Y T,M K M

φ

Thus

)).

(

)

(

1

)

(

M

Y

T,

M

T,

M

K

The coefficients

K

i are given by . )) ( ) ( 1 (

lim Y T,M T,M i i

K

M

(12)

To find the initial delay function

φ(t)

, we assume that

-T

, t

t

y

(

)

0

, then

y(t)

0

,

t

 

-T,

0

. Then the equation (3) gives the following third order ODE

0 0 ) ( 3 ) ( 2 3 ) ( 2 2 3 ) ( 3 3

  

yt yt , t

dt d t

y dt d t y dt

d (13)

We shall use the general solution of equation (13) to be the required initial delay function

φ(t)

in

-T

,

0

.

3. Illustrative Examples

Example (3.1): Consider the following third order DDE

0 ), 1 ( ) ( 8 ) ( 12 ) ( 2 2 6 ) ( 3 3

    

y t y t yt t

dt d t y dt d t y dt

d (14)

]

0

,

1

[

),

(

)

(

t

t

t

y

By comparison with equation (3), we have

b

1

, α

2

and

T

1

. To consider the stability margin, we consider

1

0

, t

y(t)

then

y

(

t-

1

)

0

,

t

[

-

1

,

0

]

.

Hence the equation (14) becomes the third order ODE.

0 ) ( 8 ) ( 12 ) ( 2 2 6 ) ( 3 3

t y t y dt

d t

y dt

d t y dt

d (15)

The general solution of equation (15) is given as

t

e

C

Bt

At

y(t)

(

2

)

2

(16)

Assuming

y

(

0

)

0

, y

(

1

)

1

and

y

(

2

)

1

yields

521

12

91

19

.

, B

-

.

A

and

C

0

. Hence the initial delay function of the equation (14) is

]

0

,

1

[

,

2

)

521

12

2

91

19

(

.

t

.

t

e

t

t

(t)

φ

(17)

The general solution of third order DDE (14) is as follows

 

10 ]

2 ) 3 1 3 2

3 1 ( 3 [ )

( , t - ,

i

t e

i W e i K t

y  

 

 (18)

Where

i

K unknown constants and the characteristic roots are are given by equation (9) as

.

2

)

3 1

3

2

3

1

(

3

W

i

e

(19)

Case (1)

10

] 2 ) 3 2 3 1 ( 3 [ )

( , t - ,

i

t e

i W e i K t

y  

 

,

2 ) 3 2 3 1 (

3 

Wi e

i

To find the coefficients

i

K we partition the interval

 

-

1

,

0

into 2 subintervals as follows.

-

1,0

[

1,

-

0.5]

[-0.5,

0]

Then

)

0

(

)

0

(

)

0

(

)

0

(

K

1

y

1

K

0

y

0

K

1

y

1

φ

 

)

5

0

(

)

5

0

(

)

5

0

(

)

5

0

(

.

K

1

y

1

.

K

0

y

0

.

K

1

y

1

.

φ

)

1

(

)

1

(

)

1

(

)

1

(

K

1

y

1

K

0

y

0

K

1

y

1

φ

The above system can be written matrix form as follows

 

1 0 1

1 0

1

1 0

1

1 0

1

)

1

(

)

1

(

)

1

(

)

5

0

(

)

5

0

(

)

5

0

(

)

0

(

)

0

(

)

0

(

)

1

(

)

5

0

(

)

0

(

K

K

K

y

y

y

.

y

.

y

.

y

y

y

y

φ

.

φ

φ

-

 

)

1

(

)

5

0

(

)

0

(

)

1

(

)

1

(

)

1

(

)

5

0

(

)

5

0

(

)

5

0

(

)

0

(

)

0

(

)

0

(

1

1 0

1

1 0

1

1 0

1 1

0 1

φ

.

φ

φ

y

y

y

.

y

.

y

.

y

y

y

y

K

K

K

-

6345

239

5481

30

0

02

5204

7

03

7294

2

0671

2

02

5204

7

03

7294

2

1313

7

7282

52

4377

1

1313

7

7282

52

1

1

1

1

.

.

.

i

e+

.

-e+

.

.

i

e+

.

+

e+

.

i

.

-.

.

i

.

+

.

(4)

~ 108 ~

  

 

  

  

i . - .

i . - .

-i . + .

8570 1 5560 0

0000 0 1120 1

8570 1 5560 0

Therefore the solution of the equation (14) is given as

t

i

.

+

.

-e

t

.

e

t

i

.

-.

e

t

y

i

.

.

i

.

-

.

-i

.

+

.

)

8352

12

9484

7

(

(

)

7261

0

(

)

(

)

8352

12

9484

7

(

)

(

)

(

)

8570

1

5560

0

0000

0

1120

1

8570

1

5560

0

The characteristic roots

for the branches

,

,

,

,

i

0

1

2

3

are as follows:

0.7261

0

;

i

i

.

+

.

-; λ

i

1

7

9484

12

8352

i

.

-.

-; λ

i

1

7

9484

12

8352

i

.

.

; λ

i

2

10

5183

32

2111

i

.

.

; λ

i

2

10

5183

32

2111

i

.

+

.

-; λ

i

3

11

8656

51

2659

i

.

-.

-; λ

i

3

11

8656

51

2659

From the above characteristic roots we note that

)

0

,

Re(

, then equation (14) is stable.

Case (2)

 

10 ]

2 ) ) 2

3 2

1 ( 3 2

3 1 ( 3 [ )

( , t - ,

i

t i e

i K t

y

e

i

W

 

  

  

,

. 2 )) 2

3

2 1 ( 3 2

3 1 (

3   

i

i

W

i

e

 

)

1

(

)

5

0

(

)

0

(

)

1

(

)

1

(

)

1

(

)

5

0

(

)

5

0

(

)

5

0

(

)

0

(

)

0

(

)

0

(

1

1 0

1

1 0

1

1 0

1 1

0 1

φ

.

φ

φ

y

y

y

.

y

.

y

.

y

y

y

y

K

K

K

-

6345

239

5481

30

0

1

003

3546

4

003

6127

7

0531

6

6514

1

001

8549

5

002

8494

3

0569

24

5067

90

9907

1

5203

1

4878

1

6762

19

1

1

1

.

.

.

i

e+

.

-e+

.

i

.

-.

-i

e+

.

-e+

.

i

.

+

.

-i

.

-.

i

.

+

.

-    

          

    

i . + .

i . + .

i . - .

-K K -K

0064 0 0092 0

0485 0 2245 0

4647 0 8423 1

1 0 1

Therefore the solution of the equation (14) is given as

t

i

.

+

.

-e

i

.

+

.

t

i

.

+

.

-e

i

.

+

.

t

i

.

-.

-e

i

.

-

.

-t

y

)

3691

19

0791

9

(

)

0064

0

0092

0

(

)

8371

1

8365

1

(

)

0485

0

2245

0

(

)

1322

6

9645

5

(

)

4647

0

8423

1

(

)

(

The characteristic roots

λ

for the branches

,

,

,

,

i

0

1

2

3

are as follows:

i

.

+

.

-; λ

i

0

1

8365

1

8371

i

.

+

.

-; λ

i

1

9

0791

19

3691

i

.

-

.

-; λ

i

1

5

9645

6

1322

i

.

.

; λ

i

2

11

0383

38

5795

i

.

.

; λ

i

2

9

8866

25

8140

i

.

+

.

-; λ

i

3

12

2066

57

5933

i

.

-.

-; λ

i

3

11

4806

44

9292

Since

Re(

)

0

,

, then equation (14) is stable.

Case (3)

 

10 ]

2 ) ) 2

3 2

1 ( 3 1 ( 3 [ )

(

3 2

, -, t i

t i e

e i K t

y

i

W

 

  

 

,

2 ) ) 2

3 2

1 ( 3 1 (

3 3

2

i e

i

W

i

 

    

    

      

    

 

 

 

    

   

 

 

) 1 (

) 5 0 (

) 0 (

) 1 ( )

1 ( )

1 (

) 5 0 ( ) 5 0 ( ) 5 0 (

) 0 ( )

0 ( )

0

( 1

1 0

1

1 0

1

1 0

1 1

0 1

φ . φ

φ

y y

y

. y . y . y

y y

y

(5)

-

6345

239

5481

30

0

1

001

8549

5

002

8494

3

0531

6

6514

1

003

3546

4

003

6127

7

4878

1

6762

19

9907

1

5203

1

0569

24

5067

90

1

1

1

.

.

.

i

e+

.

+

e+

.

i

.

+

.

-i

e+

.

+

e+

.

i

.

-.

-i

.

+

.

i

.

-.

-

i

.

+

.

-i

.

-

.

i

.

-

.

4647

0

8423

1

4012

0

7503

1

0064

0

0092

0

Therefore the solution of the equation (14) is given as

t

i

.

+

.

-e

i

.

+

.

t

i

.

-

.

-e

i

.

-

.

t

i

.

-.

-e

i

.

-

.

t

y

)

1322

6

9645

5

(

)

4647

0

8423

1

(

)

8371

1

8365

1

(

)

4012

0

7503

1

(

)

3691

19

0791

9

(

)

0064

0

0092

0

(

)

(

The characteristic roots

λ

i for the branches

,

,

,

,

i

0

1

2

3

are as follows:

i

.

-

.

-; λ

i

0

1

8365

1

8371

i

.

+

.

-; λ

i

1

5

9645

6

1322

i

.

-.

-; λ

i

1

9

0791

19

3691

i

.

+

.

-; λ

i

2

9

8866

25

8140

i

.

-.

-; λ

i

2

11

0383

38

5795

i

.

+

.

-; λ

i

3

11

4806

44

9292

i

.

-.

-; λ

i

3

12

2066

57

5933

From the above characteristic roots we note that

)

0

,

Re(

, then equation (14) is stable.

Example (4.2): Consider the following third order DDE

0

),

2

(

2

)

(

27

)

(

27

)

(

9

)

(

2

2 3

3

y

t

y

t

y

t-

t

dt

d

t

y

dt

d

t

y

dt

d

(18)

]

0

,

2

[

),

(

)

(

t

t

t

y

We have

b

2

,

-3

and

T

2

. To consider the stability margin, we consider

y

(

t

)

0

, t

-

2

then

]

0

2

[

0

)

2

(

t-

,

t

-

,

y

.

Therefore the equation (18) becomes the third order ODE.

0 ) ( 27 ) ( 27 ) ( 9 ) (

2 2 3

3

t y t

y dt

d t

y dt

d t y dt

d

 

 (19)

The general solution of equation (19) is given as t

e

C

Bt

At

t

y

(

)

(

2

)

3 (20)

Assuming that

y

(

0

)

0

, y

(

0

.

5

)

1

, and

y

(

1

)

2

we get

A

0

.

6934

, B

0

.

7929

and

C

0

. Hence the initial delay function of the equation (18) is

t

e

t

.

t

.

t

)

(

0

6934

2

0

7929

)

3

(

(21)

The general solution of the third order DDE (18) by as follows by equation (10), we get

 

2

0

]

3

)

3 2

2

3

2

(

2

3

[

)

(

, t

-

,

i

t

e

i

W

e

i

K

t

y



Where

i

K unknown constants and the characteristic roots are are given by equation (9) as

3

)

3 2

2

3

2

(

e

i

W

i

(19)

Case (1)

 

20 ]

3 )) 2

3 2 1 ( 3 2 2 3 2 ( 2 3 [ )

( , t - ,

i

t i e

i W e i K t

y  

 

  

,

))

3

2

3

2

1

(

3 2

2

3

2

(

2

3

e

i

i

W

i

To find the coefficients

i

K we partition the interval

 

-

2

,

0

in to subintervals as follows.

 

-

2

,

0

[

2

, -

1

.

5

]

[

-

1

.

5

, -

1

]

[

-

1

,-

0

,

5

]

[

-

0

,

5

,

0

]

Then

)

0

(

)

0

(

)

0

(

)

0

(

)

0

(

)

0

(

K

2

y

2

K

1

y

1

K

0

y

0

K

1

y

1

K

2

y

2

φ

)

5

0

(

)

5

0

(

)

5

0

(

)

5

0

(

)

5

0

(

)

5

0

(

.

K

2

y

2

.

K

1

y

1

.

K

0

y

0

.

K

1

y

1

.

K

2

y

2

.

φ

) 1 ( )

1 ( )

1 ( )

1 ( )

1 ( )

1

( K2y2  K1y1  K0y0  K1y1  K2y2

φ

) 5 1 ( )

5 1 ( )

5 1 ( )

5 1 ( )

5 1 ( )

5 1

( . K 2y 2 . K1y 1 . K0y0 . K1y1 . K2y2 .

φ               

) 2 ( )

2 ( )

2 ( )

2 ( )

2 ( 2

( )K2y2  K1y1  K0y0  K1y1  K2y2

(6)

~ 110 ~

The above system can be written matrix form as follows:

          2 1 0 1 2 2 1 0 1 2 2 1 0 1 2 2 1 0 1 2 2 1 2 1 0 0 1 1 2 2

)

2

(

)

2

(

)

2

(

)

2

(

)

2

(

)

5

1

(

)

5

1

(

)

5

1

(

)

5

1

(

)

5

1

(

)

1

(

)

1

(

)

1

(

)

1

(

)

1

(

)

5

0

(

)

5

0

(

)

0

(

)

0

(

)

5

0

(

)

0

(

)

5

0

(

)

0

(

)

5

0

(

)

0

(

)

2

(

)

5

1

(

)

1

(

)

5

0

(

)

0

(

K

K

K

K

K

y

y

y

y

y

.

y

.

y

.

y

.

y

.

y

y

y

y

y

y

.

y

.

y

y

y

.

y

y

.

y

y

.

y

y

φ

.

φ

φ

.

φ

φ

-

          

)

2

(

)

5

1

(

)

1

(

)

5

0

(

)

0

(

)

2

(

)

2

(

)

2

(

)

2

(

)

2

(

)

5

1

(

)

5

1

(

)

5

1

(

)

5

1

(

)

5

1

(

)

1

(

)

1

(

)

1

(

)

1

(

)

1

(

)

5

0

(

)

5

0

(

)

0

(

)

0

(

)

5

0

(

)

0

(

)

5

0

(

)

0

(

)

5

0

(

)

0

(

1 2 1 0 1 2 2 1 0 1 2 2 1 0 1 2 2 1 2 1 0 0 1 1 2 2 2 1 0 1 2

φ

.

φ

φ

.

φ

φ

y

y

y

y

y

.

y

.

y

.

y

.

y

.

y

y

y

y

y

y

.

y

.

y

y

y

.

y

y

.

y

y

.

y

y

K

K

K

K

K

-

0108

.

0

0305

0

0740

0

1271

.

0

0

1

03

3673

1

03

0627

3

02

9285

3

02

9979

1

02

9947

1

02

1844

4

8789

89

6137

43

6422

56

0700

12

7877

4

9154

5

1

9999

20

7492

4

8966

2

6249

3

1

0005

0

0020

0

0019

0

0095

0

02

5488

1

01

4129

5

4213

6

3904

45

02

6190

4

03

9139

1

02

6879

1

02

4264

2

0059

0

0450

0

4450

10

4141

7

0610

44

2416

5

0140

0

2126

0

1

1799

3

6424

1

1

9806

4

4232

4

1

.

.

-i

e+

.

+

e+

.

-i

e+

.

-e+

.

i

e+

.

-e+

.

-i

.

+

.

i

.

+

.

i

.

-

.

-i

.

-.

i

.

+

.

i

.

-.

i

.

-.

i

e+

.

+

e+

.

-i

.

-.

i

e+

.

-e+

.

-i

e+

.

+

e+

.

-i

.

-.

i

.

-.

-i

.

+

.

-i

.

-.

i

.

+

.

-i

.

+

.

i

.

+

.

-i

.

+

.

-i

.

-

.

-i

.

+

.

i

.

-

.

0018

0

0004

0

0178

0

0331

0

0522

0

0379

0

0325

0

0676

0

0000

0

0038

0

Therefore the solution of the equation (18) is given as

t

i

.

+

.

-e

i

.

+

.

t

i

.

+

.

-e

i

.

+

.

-t

i

.

+

.

e

i

.

-.

t

i

.

-

.

-e

i

.

+

.

t

i

.

-.

-e

i

.

-.

t

y

)

4887

17

0590

4

(

)

0018

0

0004

0

(

)

6316

7

0695

3

(

)

0178

0

0331

0

(

)

1313

0

0920

3

(

)

0522

0

0379

0

(

)

0951

4

5501

2

(

)

0325

0

0676

0

(

)

2556

14

7926

3

(

)

0000

0

0038

0

(

)

(

The characteristic roots

λ

for the branches

,

,

,

,

i

0

1

2

3

are as follows:

i

.

+

.

; λ

i

0

3

0920

0

1313

i

.

+

.

-; λ

i

1

3

0695

7

6316

i

.

-

.

-; λ

i

1

2

5501

4

0951

i

.

+

.

-; λ

i

2

4

0590

17

4887

i

.

-.

-; λ

i

2

3

7926

14

2556

i

.

+

.

-; λ

i

3

4

6591

27

0754

i

.

-.

-; λ

i

3

4

4839

23

8920

From the above characteristic roots we note that

0

)

Re(

for some

then the equation (18) is unstable [3].

Case (2)

 

2

0

]

3

)

3 2

2

3

2

(

2

3

[

)

(

, t

-

,

i

t

e

i

W

e

i

K

t

y



3

)

3 2

2

3

2

(

2

3

References

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