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Approximation of A Class of Non-linear Integral Operators

Sevgi Esen Almalı

Kırıkkale Üniversitesi Fen-Edebiyat Fakültesi Matematik Bölümü, Yahşihan, Kırıkkale- =903183574242

[email protected] Recieved: 11th October 2016

Accepted: 28th March 2017 DOI: http://dx.doi.org/10.18466/cbujos.77466

Abstract

In this study,we investigate the problem of pointwise convergence at lebesgue points of f funtions for the family of non-linear integral operators

 

1

=

, ( , ) )

(

= ) , (

m b

a

m

m t K x t dt

f x

f

L

where  is a real parameter, K,m(x,t) is non-negative kernels and f is the function in L1(a,b). We consider two cases where (a,b) is a finite interval and when is the whole real axis.

Keywords — Approximation, nonlinear integral operators, lebesque point

1 Introduction

In [1], the concept of singularity was extended to cover the case of nonlinear integral operators,

, x , )) ( , (

= )

(s K t x f t dt G

f T

G  

the assumption of linearity of the operators being replaced by an assumption of a Lipschitz condition for Kλwith respect to the second variable. Later, Swiderski and Wachnicki [2] investigated the problem of convergence of above the same operators to f as

w,s

w0,s0

where s0 is an accumulation point of the locally compact abelian group G in Lp(,) and Lp( R).

In [3] Karsli examined both the pointwise convergence and the rate of pointwise convergence of above operators on a  generalized Lebesque point to fL1(a,b) as (x,)(x0,0). And in [4] it is studied the rate of convergence of nonlinear integral operators for functions of bounded variation at a point x, which has a discontinuity of

the first kinds as  0. In [5] they obtained estimates, convergence results and rate of approximation for functions belonging to BV-spaces for a family of nonlinear integral operators of the convolution type

R s w dt t s f t K s

f

Tw )( ) =

w( , ()) , > 0,

(

in the periodic case. In paper [6], they obtained pointwise convergence and rate of pointwise convergence results at Lebesgue points for a family of nonlinear integral operators of the form

( , )= ( , , ( )) , > 0, > 0,

0

x z z dz f z x K x f T

with

 

K is a family of kernel satisfying a Lipschitz condition.

Karsli [7] stated some approximation theorems about pointwise convergence and its rate for a class of non-convolution type nonlinear integral

(2)

operators.

Soon, in [8], Almali and Gadjiev proved convergence of exponentially nonlinear integrals in Lebesgue points of generated function, having many applications in approximation theory [9,10].

The aim of the article is to obtain pointwise convergence results for a family of non-linear operators of the form

(1) )

, ( ) (

= ) , (

1

=

 

, m

b

a

m m t K x t dt f

x f

L

where K,m(x,t) is a family of kernels depending on ..We study convergence of the family (1) at every Lebesque point of the function f in the spaces of L1(a,b) and L1(,) with

 

1

=

, ( , ) )

(

m b

a

m

m t K x t dt

f is convergence.

Now we give the following definition

Definition 1 (Class A): We take a family ( K) of functions K,m(x,t):RXRR. We will say that the function K(x,t) belongs the class A, if the following conditions are satisfied:

a) K,m(x,t) is a non-negative function defined for all t and x on (a,b) and .

b) As function of t , K,m(x,t) is non-decreasing on

 

a,x and non-increasing on

 

x,b for any fixed

x and   .

c)For any fixed x, m m

b

a

C dt t x K, ( , ) =

.

d) m

m

C

1

=

is convergence.

e) For , lim ( , )= 0.

1

=

,

m

m x y K

x

y

2. Main Result

We are going to prove the family of non-linear integral operators (1) with the positive kernel convergence to the functions f L1(a,b)

Theorem 1. Suppose that f L1(a,b) and f is bounded on (a,b). If non-negative the kernel K,m belongs to Class A, then, for the operator L(f,x) which is defined in (1)

m=1

0 m m λ 0

λ

) (x f C

= ) x (f, lim L

holds at every x0Lebesque point of f function with Cmfm(x0)

1

= m

is convergence.

Proof. For integral (1), from c), we can write

1

=

0

0) ( )

, (

m

m m f x C

x f L

 

1

=

0 ,

0)] ( , ) (

) ( [

=

m b

a

m m

m t f x K x t dt

f

and in view of a)

1

=

0

0) ( )

, (

m

m m f x C

x f L

) , (

) , ( ) ( ) (

0 1

=

0 , 0

x I

dt t x K x f t f

m b

a

m m

m

 

Now we consider I(x0,). For any fixed  >0, we can write I(x0,) as follow.

dt t x K x f t f x

I m m m

m

b

x x

x x

x x

a

) , ( ) ( ) (

= ) ,

( 0 , 0

1

= 0

0

0 0

0 0

0

 

  

) 2 ( )

, , ( ) , , ( ) , , ( ) , , (

=I1 x0mI2 x0mI3 x0mI4 x0m

Firstly we shall calculate I1(x0,,m), that’s

. ) , ( ) ( ) (

= ) , , (

1

= 0

0 , 0 0

1

 

m x

a

m m

m t f x K x t dt

f m

x I

(3)

By the condition b), we have





 

 

0

1

=

0 0 , 0

1( , , ) ( , ) ( )

x

a m

m

m x x f t dt

K m

x I





0

0) (

x

a

m x dt

f

and

. ) ( ) ( )

,

( 0

) , 1( 1

=

0 0

, 



K x x f fm x b a

b a L m

m

m

(3)

In the same way, we can estimate I4(x0,,m) .From property b)

 

b

x m

m

m x x f t dt

K m

x I

0 1

=

0 0 , 0

4( , , ) ( , ) ( )





b

x

m x dt

f

0

0) (

. ) ( ) ( )

, (

1

=

) 0 , 1( 0

0

,

m

m b a L m

m x x f f x b a

K  (4)

On the other hand, since x0 is a Lebesque point of ,

f for every  > 0, there exists a  > 0 such that

h x

x

h dt x f t f 0

0

0) <

( )

(  (5)

and

h dt x f t f x

h x

<

) ( )

( 0

0

0

(6)

for all 0<h. Now let’s define a new function as follows,

t

x

du x f u f t F

0

0) . ( ) (

= ) (

Then from (5), for tx0  we have ).

( )

(t t x0

F

Also, since f is bounded, there exists M >0 such that

M x f t f x f t

f m( ) m( 0) ( ) ( 0)

is satisfied. Therefore, we can estimate I3(x0,,m)

as follows.

 

1

= 0

0

0 , 0 0

3( , , ) ( ) ( ) ( , )

m x

x

m x t dt K

x f t f M

m x I

. ) ( ) , ( 1

= 0

0

0

 

,

m

x

x

m x t dF t K

M

We apply integration by part, then we obtain the following result.

1

=

0 0 , 0 0 0

3( , , ) ( , ) ( , )

m

m x x

K x x F M m x

I  

 



0

0

0 , ( , ) )

( x

x

m x t K

d t F

Since K,m is decreasing on

x ,0 b

, it is clear that K,m

is increasing. Hence its differential is positive. Therefore, we can wirte

1

=

0 0

, 0

3( , , ) ( , )

m

m x x

K M

m x

I  

 



 

x

x

m x t

K d x

t ) ( , )

( 0 , 0

Integration by parts again, we have the following inequality

 

1

= 0

0

0 , 0

3( , , ) ( , )

m x

x

m x t dt K

M m x I

. ) , (

1

=

0

 

,

m b

a

m x t dt K

M

 (7)

Now, we can use similar method for evaluation ).

, , ( 0

2 x m

I  Let

. ) ( ) (

= )

(

x

t

dy x f y f t G

Then, the statement

dt x f t f t

dG( ) =  ( ) ( 0)

is satisfied. For x0  t  , by using (6), it can be written as follows

t x t

G( ) 0  Hence, we get

(4)

 

1

= 0

0

0 , 0 0

2( , , ) ( ) ( ) ( , ) .

m x

x

m x t dt K

x f t f M

m x I

Then, we shall write

. ) ( ) , ( )

, , (

1

=

0 , 0

0 0

2

m

m x

x

t dG t x K M

m x

I

By integration of parts, we have

1

=

,

2( , , ) ( ( , )

m

m x x

K x G M m x

I  



x

x

m t K x t d

t G

( , ))

( )

( ,

From (6), we obtain

1

=

0 0 , 0

2( , , ) ( , )

m

m x x K

M m x

I  





0

0

0 ,

0 ) ( ( , ))

(

x

x

m

t K x t

d t x

By using integration of parts again, we find . ) , ( )

, , (

1

=

0 , 0

2

 

m b

a

m x t dt K

M m

x

I   (8)

Combined (7) and (8), we get

) , , ( ) , ,

( 0 3 0

2 x m I x m

I   

. ) , ( 2

1

=

0

 

,

m b

a

m x t dt K

M

 (9)

From condition d), (9) tends to 0 as   . Finally,from (3), (4) and (9),the terms on right hand side of these inequalitys tend to 0 as   . That’s

. ) (

= ) , lim (

1

=

0

0

m

m m f x C

x f L

Thus, the proof is completed.

In this theorem, specially interval (a,b) may be expanded interval (,). In this case, we can give the following theorem.

Theorem 2 Let f  L1(,) and f is bounded. If non-negative the kernel K,m belongs to Class A and

satisfies also the following properties ,

0

= ) , lim (

1

=

 

,

m

x

m t x dt K

(10)

and

0,

= ) , lim (

1

=

 

,

m x

m t x dt K

(11)

then the statement

=1

) (

= ) , lim (

m

m m f x C

x f L

is satisfied at almost every x R with )

(

1

=

x f Cm m

m

is convergence.

Proof. We can write, for a fixed  > 0 )

( )

, (

1

x f C x

f

L m m

m

 

1

=

, ( , ) )

( ) (

m

m m

m t f x K x t dt

f

   

 

 

   

1

=

, ( , ) )

( ) (

=

m

m m

m

x x

x x

x x

dt t x K x f t

f

) , , ( ) , , ( ) , , ( ) , , (

= A1 xmA2 xmA3 xmA4 xm

) , ,

2(x m

A

and A3(x,,m) integrals are calculated as the proof in Theorem1. For proof, it is sufficent to show that A1(x,

,m) and

) , ,

4(x m

A

tend to zero as   .

Firstly, we consider A1(x,

,m). Since f is bounded and by the property b), this integration is written in the form

 

1

=

,

1( , , ) ( ) ( ) ( , )

m x

m x t dt K

x f t f M

m x A





 

1

=

, ( , ) ( )

m

x

m x x f t dt

K M

. ) , ( )

(

1

=

 

,

m x

m x t dt K

x f M

(5)

 



1

= , 1

= ) , , 1(

) , ( )

(

) , (

m x

m m L m

dt t x K x

f M

x x K M f

In addition to, we obtain the inequality

 

1

=

,

4( , , ) ( ) ( ) ( , )

m x

m x t dt K

x f t f M

m x A



1

= ) , , 1(

) , (

m

L M K m x x

f

. ) , ( )

(

1

 

,

m x

m x t dt K

x f M

According to the conditions d), (10) and (11),we find that A1(x,

,m) A4(x,

,m)  0 as   . This completes the proof.

3 References

[1] Musielek, J. Approximation by Nonlinear Singular Integral Operators In Generalized Orlicz Spaces, Comment. Math., 1991; 31, 79-88.

[2] S’widerski, T.; Wachnicki, E. Nonlinear Singular Integral Depending On Two Parameters, Comment. Math.

Prace Mat. 2000; 40, 181–189.

[3] Karsli,H. Convergence and Rate of Convergence by

Nonlinear Singular Integral Operators Depending on Two Parameters, Appliable Analysis, 2010; 85 (6-7), 781-791.

[4] Karsli, H.; Gupta, V. Rate of Convergence of Nonlinear Integral Operators for Functions of Bounded Variation.

Calcolo 2008; 45 (2), 87–98.

[5] Angeloni, L.; Vinti, G.Convergence in Variation and Rate of Approximation for Nonlinear Integral Operators of Convolution Type, Results in Mathematics, 2006; 49, 1- 23.

[6] Bardaro, C.; Vinti, G.; Karsli,H. Nonlinear Integral Operators with Homogeneous Kernels: Pointwise Approximation Theorems, Applicable Analysis, 2011; 90 (3-4), 463-474.

[7] Karsli, H. On Approximation Properties of Non- convolution Type Nonlinear Integral Operators.Anal.

Theory Appl. 2010; 26 (2), 140–152.

[8] Almali,S. E. and Gadjiev,G.D. On Approximation Properties of Certain Multidimensional Nonlinear Integrals. J. Nonlinear Sci. Appl. 2016; 9 (5), 3090–3097.

[9] Bardaro, C.; Musielak, J.; Vinti, G. Nonlinear Integral Operators and Applications. De Grayter Series in Nonlinear Analysis and Applications, Walter de Gruyter

& Co., Berlin, 2003; 9, xii+201.

[10] Butzer, P.L.; Nessel, R.J. Fourier Analysis and Approximation, Vol. 1, Academic Press, New York,London, 1971.

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