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O.G. Styrt, A.P. Krishchenko

22

ISSN 1812-3368. Вестник МГТУ им. Н.Э. Баумана. Сер. Естественные науки. 2017. № 1

 

0

( ) = ( )

max ( ) .

x

G x g t dt T g x

Thus,

*

=sup{ ( )} < .

x

G G x



The function

G

is periodic and

*

.

G G

Consequently, the integrals

*

0

( )

G G x dx



and

0

*

( )

G G x dx



are divergent. It

remains to apply Corollary 4.

Now we give one more corollary of Proposition 1.

Corollary 6.

If

is completely located outside the localizing set

and

*

*

= ,

h G

then

( )

0,

t

y x



 

i. e.

dist( ( ), )

0.

t

t



  

Example 1.

Consider the equation

2

1

sin = 0.

x

x

x

x x

  



In the notations

above, we have

2

1

( , ) =

,

f x y

x y

  

( )=sin .

g x x

Hence,

( ) = 1 cos ,

G x

x



*

= 2 < .

G

The localizing set

2

 

is defined by the inequality

2

/2 cos 1.

y

x

 

Besides,

 

2

2

= ( ) = ( , 0)

: cos = 1 = ((2 1) , 0)

:

.

Ox x

x

n

n

 

   

 

For each

,

x

we have

( ) 0,

G x

*

( ) 2,

G G x

 

*

( ) = 2(

( )) 2.

x

G G x

 

Take

an arbitrary number

> 0.

C

If

( , )

( ),

x y U C

then

| |< ( )

2 ,

y x C C

   

x

 

def

2

2

< = 3 / 2 (2 ) ,

y M

C

  

( , )>1/ .

f x y М

Thus,

inf{ ( ):

( )} 1/ >0.

f p p U C М

 

Since the number

> 0

C

is chosen arbitrarily, the condition (6) holds and, by

Corollary 5, any trajectory either tends to some equilibrium point

((2 1) ,0) ,

n

P n

  

,

n

of the "saddle" type or enters the localizing set

and then never leaves it.

The equilibrium points

n

P

divide the set

into the bounded positively invariant

sets

def

= ( , )

:

2 < ,

.

n

x y

x n

n

    

Each of the sets

n

contains one stable equilibrium point

(2 , 0).

n

By LaSalle

theorem, this equilibrium point attracts all trajectories in

.

n

It follows from above that any trajectory either tends to one of the equilibrium

points

((2 1) , 0)

n

 

or enters a set

n

and then, not leaving it, tends to the stable

equilibrium point

(2 , 0).

n

Remark.

If the condition (6) holds, the function

g

has period

,

T

and

0

( ) = 0,

T

g t dt

then the system (5) does not have periodic trajectories and each of its trajectories

tends to one of its equilibrium points.

Example 2.

Consider the equation

2 2

= 0

(1 )

x

x x

x

 

 

and prove its global asymptotic stability.