Journal of Applied Mathematics and Physics, 2015, 3, 1207-1217
Published Online September 2015 in SciRes. http://www.scirp.org/journal/jamp
http://dx.doi.org/10.4236/jamp.2015.39148
How to cite this paper: Bilgin, T. (2015) (f, p)-Asymptotically Lacunary Equivalent Sequences with Respect to the Ideal I.
Journal of Applied Mathematics and Physics, 3, 1207-1217. http://dx.doi.org/10.4236/jamp.2015.39148
(f, p)-Asymptotically Lacunary Equivalent
Sequences with Respect to the Ideal I
Tunay Bilgin
Department of Mathematics, Education Faculty, Yuzuncu Yil University, Van , Turk ey
Email: tbilgin@yyu.edu.tr
Received 6 Octo ber 20 14; accepted 27 September 2015; published 30 September 2015
Copyright © 2015 by author and Scientific Research Publishing Inc.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativ ecommon s.org/l icenses/by/4. 0/
Abstract
In this study, we define (f, p)-Asymptotically Lacunary Equivalent Sequences with respect to the
ideal I using a non-trivial ideal
( )
I PN
, a lacunary sequence
( )
r
k=
θ
, a strictly positive se-
quence
( )
k
pp
=
, and a modulus function f, and obtain some revelent connections between these
notions .
Keywords
Asymptotically Equivalenc e, Ideal Convergence , Lacunary Seque nce, Modulus Function,
Statistically Limit
1. Introduction
Let
,,sc
denote the spaces of all real sequences, bounded, and convergent sequences,respectively. Any
subspace of s is called a sequence space.
Following Freedman et al. [1], we call the sequence
( )
r
k
θ
=
lacunary if it is an increasing sequence of
integers such that
01
0, r rr
k hkk
== −→∞
as
r→∞
. The intervals determined by
will be denoted by
(
]
1
,
r rr
I kk
=
and
1r rr
q kk
=
. These notations will be used troughout the paper. The sequence space of
lacunary stron gly co nvergent s equences
N
θ
was defined by Freedman et al. [1], a s follows:
( )
1
:lim0for some
r
irr i
iI
Nx xshxss
θ


= =∈−=



.
The notion of modulus function was introduced by Nakano [2]. We recall that a modulus f is a function fro m
[
)
0,
to
[
)
0,
such that 1)
( )
0fx=
if and only if
0x=
, 2)
()( )()
,fx yfxfy
+≤ +
for
,0xy
, 3) f
is increasing and 4) f is continuous from the right at 0. Hence f must be continuous everywhere on
[
)
0,
.
T. Bilgin
1208
Connor [3], Ko lk [4], Maddox [5], Öztürk a nd Bi lgin [6], Pehliva n and Fi sher [7], Ruck le [8] and others used a
modulus function to construct sequence spaces.
Marouf presented definitions for asymptotically equivalent sequences and asymptotic regular matrices in [9].
Patterson extended these concepts by presenting an asymptotically statistical equivalent analog of these defi-
nitions and natural regularity conditions for nonnegative summability matrices in [10]. Subsequently, many
authors have shown their inter e st to solve differe nt p roblems arising in this area (see [11]-[13]).
The concept of I-convergence was introduced by Kostyrko et al. in a metric space [14]. Later it was further
studie d b y Dass e t al. [15], D e ms [16], Savas and Gumus [17], Kumar and Sharma [18], Ku mar and Mursaleen
[19] and many others.
Recently, Bilgin [20] used modulus function to define some notions of asymptotically equivalent sequences
and studied some of their connections. Kumar and Sharma extended these concepts by presenting a non-trivial
ideal I
This paper presents introduce some new notions, (f, p)-asymptotically equivalent of multiple L, strong (f, p)-
asymptoticall y equivalent of multiple L, and strong (f, p)-asympto tically lacunary equi valent of multip le L with
respect to the ideal I which is a natural co mbinat ion of the d efinition for asymptoticall y equiva lent, a non -trivial
ideal I, Lacunary sequence, a strictly positive sequence
()
k
pp=
, and Modulus function. In addition to these
definitions, we obtain some revelent connections between these notions.
2. Definitions and Notations
Now we recall some definitions of sequence spaces (see [2] [4]-[6] [15], and [20]-[25]).
Definition 2 .1. A sequence
[ ]
x
is statisticall y convergent to L if
{ }
1
lim :0
nk
k nxL
n
ε
≤−≥ =
for every
0
ε
>
, (denoted by
limstx L−=
), where the vertical bars denote
the cardinality of the
Enclosed set.
Definition 2.2. A sequence
[ ]
x
is strongly(Cesaro) summable to L if
1
1
lim 0
n
nk
k
xL
n
=
−=
, (denoted by
limw xL−=
).
Definition 2 .3. Let f be any modulus; the sequence
[ ]
x
is strongl y (Cesaro) summable to L with respect to a
modulus i f
( )
1
1
lim 0
n
nk
k
fx L
n
=
−=
, (denot ed by
lim
f
w xL−=
).
Definition 2.4. Two nonnegative sequences
[ ]
x
and
[ ]
y
are said to be asymptotically equivalent if
lim 1
k
kk
x
y=
, (denoted by
xy
).
Definition 2 .5. T wo nonne gat ive se q uence s
[ ]
x
and
[ ]
y
are said to be asymptotica lly statistic al e quiva le nt
of multiple L provided that for every
0
ε
>
,
1
lim :0,
k
nk
x
kn L
ny
ε


≤−≥ =



(denoted by
S
xy
) a nd si mply
asymptotically statistical equ ivalent, if
1L=
.
Definition 2 .6. T wo nonnegative sequences
[ ]
x
and
[ ]
y
are said to be strong asymptotically equivalent of
multiple L provided that
1
1
lim 0
nk
nkk
xL
ny
=
−=
(denoted by
w
xy
) and simply strong asymptotically equivalent, if
1L=
.
Definition 2.7. Let
θ
be a lacunary sequence; the two nonnegative sequences
[ ]
x
and
[ ]
y
are said to be
asymptotically lacunary statistical equivalent of multiple L provided that for every
0
ε
>
,
1
lim :0,
k
rr
rk
x
kI L
hy
ε


∈−≥ =



(denoted by
S
xy
θ
) and simply asymptotically lacunary statistical equi-
valent, if
1L=
.
Definition 2.8. Let
θ
be a lacunary sequence; the two nonnegative sequences
[ ]
x
and
[ ]
y
are said to be
T. Bilgin
1209
strong asymptotically lacunary equivalent of multiple L provided that
1
lim 0
r
k
rkI
rk
xL
hy
−=
(denoted by
N
xy
θ
) and simply strong asymptotically lacunary equivalent, if
1L=
.
Definition 2.9. Let f be any modulus; the two nonnegative sequences
[ ]
x
and
[ ]
y
are said to be f-
asymptotically equivalent o f multiple L provided that,
lim 0
k
kk
x
fL
y

−=



(denoted by
y
x
f
) and s imply s t ro ng f-asymptotically eq uiva lent, if
1L=
.
Definition 2.10. Let f b e an y modul us; the two nonne gative sequences
[ ]
x
and
[ ]
y
are said to be strong f-
asymptotically equivalent of multiple L provided that,
1
1
lim 0
nk
nkk
x
fL
ny
=

−=



(denoted by
f
w
xy
) and
simply strong f-asymptotic a lly equi valent , if
1L=
.
Definition 2.11. Let f be any modulus and
θ
be a lacunary sequence; the two nonnegative sequences
[ ]
x
and
[ ]
y
are said to be strong f-asymptotically lacunary equivalent of multiple L provided that
1
lim 0
r
k
rkI
rk
x
fL
hy

−=



(denoted by
,f
Ny
θ
) and simply strong f-asymptotically lacunary equivalent, if
1L=
.
For any non-empty set X, let
( )
PX
denote the power set of X.
Definition 2 .12. A family
( )
I PX
is said to be an ideal in X if
1)
I∅∈
;
2)
,AB I
imply
ABI
and
3)
,A IBA∈⊂
imply
BI
.
Definition 2 .13. A non-empty family
()
F PX
is said to be a filter in X if
1)
F
∅∉
;
2)
,AB F
imply
ABF
and
3)
,A FBA∈⊃
imply
BF
.
An ideal I is said to be non-trivial if
{ }
I≠∅
and
XI
. A non-trivial ideal I is called admissible if it
contains all the singleton sets. Moreover, if I is a non-trivial ideal on X, then
( ){}
:FFIXAA I= =−∈
is a
filter on X and conversely. The filter
()
FI
is called the filter a ssociated with the ideal I.
Definition 2 .14. Let
( )
I PN
be a non-trivial ideal in N and
( )
,X
ρ
be a metric space. A sequence
[ ]
x
in X is said to b e I-co n ver ge nt to
if for each
0
ε
>
, the set
()
{}
:,
k
kN xI
ρ ξε
∈ ≥∈
.
In this case, we write
lim .
kk
Ix
ξ
→∞
−=
Definition 2.15. A sequence
[ ]
x
of numbers is said to be I-statistical co nvergent or S(I)-conver gent to L, if
for every
0
ε
>
and
0
δ
>
, we have
{ }
1
;: .
k
n NknxLI
n
εδ

∈≤−≥≥ ∈


In this case, we write
( )
( )
k
x LSI
or
()
lim .
kk
SIx L
→∞
−=
Definition 2.16 Let
( )
I PN
be a non-trivial ideal in N. The two non-negative sequences
[ ]
x
and
[ ]
y
are said to be strongly asymptotically equivalent of multiple L with respect to the ideal I provided that for each
0
ε
>
1
1
;.
nk
kk
x
nNLI
ny
ε
=


∈−≥ ∈



denoted by
( )
Iw
xy
and simply strongly asymptotically equivalent with respect to the ide a l I, if
1L=
.
Definition 2.17. Let
( )
I PN
be a non-trivial ideal in N and
( )
r
k
θ
=
be a lacunary sequence. The two
nonne gative se quence s
[ ]
x
and
[ ]
y
are said to be asymptoticall y lacunary statistical equi valent of multiple L
with respect to the id e a l I p r o vided that for each
0
ε
>
T. Bilgin
1210
and
0
γ
>
,
1
;:
k
r
rk
x
rN kILI
hy
εγ


 
∈∈−≥≥ ∈
 




denoted by
( )
IS
xy
θ
and simply asymptotically lacunary statistical equivalent with respect to the ideal I, if
1L=
.
Definition 2.18. Let
( )
I PN
be a non-trivial ideal in N and
( )
r
k
θ
=
be a lacunary sequence. The two
non-negative seque nces
[ ]
x
and
[ ]
y
are said to be strongly asymptotically lacunary equivalent of multiple L
with respect to the id e a l I provided that for
0
ε
>
1
;
r
k
kI
rk
x
rNL I
hy
ε


∈−≥ ∈



denoted by
( )
IN
xy
θ
and simply strongly asymptotically lacunary equivalent with respect to the ideal I, if
1
L=
.
Definition 2.19. Let
( )
I PN
be a non-trivial ideal in N and f be a modulus function. The two non-
negative sequences
[ ]
x
and
[ ]
y
are said to be f-asymptotically equivalent ofmultiple L with respect to the
ideal I provided that for each
0
ε
>
;k
k
x
k NfLI
y
ε



∈− ≥∈






denoted by
( )
If
xy
and simply f-asymptotically eq uivalent with resp e ct to the ideal I, i f
1L=
.
Definition 2.20. Let
( )
I PN
be a non-trivial ideal in N and f be a modulus function. The two non-
negative sequences
[]
x
and
[ ]
y
are said to be strongly
f-asymptotically equivalent of multiple L with respect to the ideal I provided that for each
0
ε
>
,
1
1
;nk
kk
x
nN fLI
ny
ε
=



∈−≥∈






denoted by
( )
f
Iw
xy
and simply strongly f-asymptotically equivale nt with respect to the ide a l I, if
1L=
.
Definition 2.21. Let
( )
I PN
be a non-trivial ideal in N, f be a modulus function and
( )
r
k
θ
=
be a
lacunary sequence. The two non-negative sequences
[ ]
x
and
[ ]
y
are said to be strongly f-asymptotically
lacunary e quiva l ent of mult iple L with respect to the ideal I provided that for each
0
ε
>
,
1
;
r
k
kI
rk
x
rN fLI
hy
ε



∈− ≥∈






denoted by
()
f
IN
xy
θ
and simply strongly f-asymptotically lacunary equivalent with respect to the ideal I, if
1L=
.
3. Main Results
We now con s ider our main results. We begin with the following definitions.
Definition 3.1. Let
()
I PN
be a non-trivial ideal in N, f be a modulus function, and
( )
k
pp=
be a
sequence of positive real numbers. Two number sequences
[ ]
x
and
[ ]
y
are said to be strongly (f, p)-
asymptotically equivalent o f multiple L with respect to the ideal I provided that for each
0
ε
>
,
1
1
;
k
p
nk
kk
x
nN fLI
ny
ε
=




∈− ≥∈









T. Bilgin
1211
denoted by
()
()
,
fp
Iw
xy
and simply strongly (f, p)-asymptotically equi valent with respect to the ideal I, if
1L=
.
If we take
()
fx x
=
for
0x
, we write
()
p
Iw
xy
instead of
( )
()
,fp
Iw
xy
and simply strongly p-asympto-
tically equivalent with respect to the ideal I, if
1L=
.
If we take
k
pp=
for all
kN
, we write
fp
Iw
xy



instead of
( )
()
,
fp
Iw
xy
Definition 3 .2. Let
()
I PN
be a non-trivial ideal in N, f be a modulus function,
()
r
k
θ
=
be a lacunary
sequence, and
( )
k
pp=
be a sequence of positive real numbers. Two number sequences
[ ]
x
and
[]
y
are
said to be strongly (f, p)-asymptotically lacunary equivalent of multiple L with respect to the ideal I provided
that for each
0
ε
>
,
1
;
k
r
p
k
kI
rk
x
rNf LI
hy
ε




∈− ≥∈









denoted by
()
,
fp
IN
xy
θ



and simply strongly (f, p)-asymptotically
lacunary equivalent with respect to the ideal I, if
1
L=
.
If we take
k
pp
=
for all
kN
, we write
fp
IN
xy
θ



instead of
( )
,fp
IN
xy
θ



Note that,we put
1p=
, we write
()
f
IN
xy
θ
instead of
fp
IN
xy
θ



. Hence
()
f
IN
xy
θ
is the same as the
()
f
IN
xy
θ
of Kumar and Sharma [15]. Also if we put
( )
fx x=
for
0
x
, we write
()
p
IN
xy
θ
instead of
( )
,fp
IN
xy
θ



. Hence
()
p
IN
xy
θ
is the same as the
( )
( )
Lp
NI
xy
θ
of Savas and Gumus [25]
We start this section with the following theorem to show that the relation between (f, p)-asymptotically
equivalence and strong p-asymptotically equivalence with respect to the ideal I
Theorem 3.1. Let
( )
I PN
be a non-trivial ideal in N, f be a modulus function,
( )
r
k
θ
=
be a lacunary
sequence and
0 infsup
kk kkk
h pppH< =≤≤=<∞
, then
1) if
()
p
Iw
xy
then
( )
()
,fp
Iw
xy
, and
2) if
( )
lim 0
t
ft
t
β
→∞
= >
, then
( )
( )
()
,
.
fp
p
Iw
Iw
x yxy
∼⇔ ∼
Proof. Part 1): Let
( )
p
Iw
xy
and ε > 0. We choose
01
δ
<<
such that
( )
fu
ε
<
for every u with
0u
δ
≤≤
.
We can write
1
12
1
11
k
kk
p
nk
kk
pp
kk
kk
x
fL
ny
xx
fL fL
ny ny
=









 
=−+ −

 
 

 

∑∑
where the first summation is over
k
k
xL
y
δ
−≤
and the second summation over
>.
k
k
xL
y
δ
By definition
of f, we have
{ }
( )
( )
{ }
1
11
11
max,max 1, 21
kk
pp
nn
H
hH
kk
kk
kk
xx
fLf L
n yny
εε δ
= =

 
−≤ +−

 
 

 

∑∑
T. Bilgin
1212
Thus,
{ }
( )
( )
{ }
1
11
max ,
11
;; .
max1,21
kk
pphH
nn
kk
H
kk
kk
xx
nN fLnNL
n ynyf
ε εε
ε
δ
= =



 


∈−≥⊆∈−≥

 
 
 

 
 



∑∑
Since
( )
p
Iw
xy
, it follows the later set, and hence, the first set in above expression belongs to I. This prove s
that
( )
()
,fp
Iw
xy
Part 2): If
( )
lim 0
t
ft
t
β
→∞
= >
, then
( )
ft t
β
for all
0t>
. Let
( )
()
,fp
Iw
xy
, clearly
{ }
1
1 =1
1
11
min ,
k
kk
p
nk
kk
pp
nn
hH
kk
kk
kk
x
fL
ny
xx
LL
n yny
β ββ
=
=








 
≥ −≥−
 
 
 
∑∑
it follows that for each
0
ε
>
, we have
{ }
11
11
;;min ,
k
k
p
p
nn
hH
kk
kk
kk
xx
nNLnN fL
nyn y
εε ββ
= =



 
 
∈− ≥⊆∈−≥



 

 
 
 



∑∑
Since
( )
()
,fp
Iw
xy
, it follows that the later set belong s to I, and therefore, the theorem is proved.
Theorem 3.2. Let
( )
I PN
be a non-trivial ideal in N, f be a modulus function,
()
r
k
θ
=
be a lacunary
sequence and
0 infsup
kk kkk
h pppH< =≤≤=<∞
, then
1) if
()
p
IN
xy
θ
then
( )
,fp
IN
xy
θ



, and
2) if
( )
lim 0
t
ft
t
β
→∞
= >
, then
()
( )
,
.
fp
p
IN
IN
x yxy
θ
θ



∼⇔ ∼
Proof. The proof of Theorem 3.2 is very similar to the Theorem 3.1. Then, we omit it.
The next theorem shows the relationship between the strong (f, p)-asymptotically equivalence and the strong
(f, p)-asymptotically lacunary equivalence with respect to the ideal I.
Theorem 3.3. Let
()
I PN
be a non-trivial ideal in N, f be a modulus function,
( )
r
k
θ
=
be a lacunary
sequence and
( )
k
pp=
be a sequence of positive real numbers. Then
1) if
limsup
rr
q<∞
then
( )
,fp
IN
xy
θ



implies
( )
()
,fp
Iw
xy
;
2) if
liminf 1
rr
q>
then
( )
()
,
fp
Iw
xy
implies
( )
,fp
IN
xy
θ



;
3) if
1 liminflimsup
rr rr
qq< ≤<∞
, then
( )
()
( )
,
,fp
fp
IN
Iw
x yxy
θ



∼⇔∼
.
Proof. Part (i): If
limsup
rr
q<∞
then there exi st s
0K>
such that
r
qK<
for every r. Now suppose that
( )
,fp
IN
xy
θ



and
0
ε
>
. Let
1
;
k
r
p
k
kI
rk
x
A rNfL
hy
ε




=∈ −<









T. Bilgin
1213
Hence, for all
jA
we have
1.
k
j
p
k
jkI
jk
x
H fL
hy
ε


= −<






Let n be any integer with
1rr
k nk
≥>
.
Now write
( )
1
11
11
11
11
11
1
1
11
11
sup
sup
k
kk
r
m
k
m
p
nk
kk
pp
kr
kk
km kI
rk rk
p
rr
mm kmmj
jA
m kIm
rmk r
r
jA
r
x
fL
ny
xx
fL fL
ky ky
kkx
f LkkH
khy k
kH
k
=
==∈
−−
=∈=
−−








 
 
≤ −=−
 
 
 
 
 
 


=−= −






=
∑ ∑∑
∑∑ ∑
|
sup
jr j
jA
q HK
εε
= <=
it follows that for any
|
0
ε
>
,
( )
|
1
1
;
k
p
nk
kk
x
n NfLFI
ny
ε
=




∈− <∈









which yields that
( )
()
,fp
Iw
xy
. Because for any set
( )
A FI
,
{}()
1
:,
rr
nkn krAFI
<<∈∈
.
Part (ii): Let
( )
()
,fp
Iw
xy
and
liminf 1
rr
q>
. There exists
0
δ
>
such that
( )
1
1
r rr
q kk
δ
= ≥+
for all
1
r
. We have, for sufficientl y lar ge r, that
( )
1
rr
kh
δ
δ
+
and
( )
1
1
rr
kh
δ
. Let
0
ε
>
and define the set
1
1
;.
k
r
p
kk
rk
rk
x
AkNf L
ky
ε
=




=∈ −<









We have
( )
A FI
, which is the f ilte r of the ideal I, For each
r
kA
, we have
1
1
11
1
11
1
1
1 11
k kk
rr
r
kk
rr
r
ppp
kk
kkk
kI kk
r krkrk
pp
kk
kk
rr
kk
rr krrk
k
r
k
rr
xxx
fLfL fL
h yhyhy
xx
kk
fL fL
khyhky
k
kh
∈==
= =
=

 
−= −− −

 
 

 

 
 
= −−−
 
 
 
 
 
 
∑ ∑∑
∑∑
|
1
k
p
k
k
x
fL
y
δεε
δ

 +

−<=








it follows that for any
|
0
ε
>
,
( )
|
1
;
k
r
p
k
kI
rk
x
r NfLFI
hy
ε




∈− <∈









which yiel ds that
( )
,fp
IN
xy
θ



Part (iii): This immediatel y follows from (i) and (ii).
Now we give relation between asymptotically statistical equivalence and strong (f, p) -asymptotically equi-
valence with respect to the ideal I. Also we give relation between asymptotically lacunary statistical equivalence
and strong (f, p)-asymptotically lacunary equivalence with respect to the ideal I.
Theorem 3.4. Let
( )
I PN
be a non-trivial ideal in
N
,
f
be a modulus function,
()
r
k
θ
=
be a
lacunary se quence and
0 infsup
kk kkk
h pppH< =≤≤=<∞
, then
T. Bilgin
1214
1) if
()
()
,
fp
Iw
xy
then
( )
IS
xy
,
2) if f is bounded then
( )
( )
()
,fp
Iw
IS
xyx y∼⇔ ∼
.
Proof. Part 1): Suppose
( )
()
,fp
Iw
xy
, and let
0
ε
>
and
1
denote the sum over
kn
with
k
k
xL
y
ε
−≥
then we can write
( )( )
{ }
11
11 1
min ,:
kk
pp
nhH
kk k
kkkk
xx x
fLfLff knL
nynyn y
εε ε
=

 

−≥ −≥≤−≥

 
 

 

∑∑
Consequently, for any
0
γ
>
, we have
( )( )
{ }
1
1
;:
1
;min ,.
k
k
k
p
nhH
k
kk
x
nN knL
ny
x
nNfLf fI
ny
εγ
γ εε
=


 
∈≤−≥ ≥
 








⊆∈− ≥∈









Therefore we have
( )
IS
xy
2) Suppose f is bounded and
( )
IS
xy
. Since f is bo unded, there exists an integer T such t hat
( )
fx T
for
all
0x
.
Moreover, for
0
ε
>
, We split the s um for
kn
into sums over
k
k
xL
y
ε
−≥
and
k
k
xL
y
ε
−<
. Then
{ }
( )( )
{ }
,
1
11
max ,:max,
k
p
nhH
hH
kk
kkk
xx
fLTTknLf f
nyn y
ε εε
=

 

−≤≤−≥ +

 
 

 

Consequen tly, we have
( )( )
{ }
{ }
1
,
1
;
max ,
1
;: .
max ,
k
p
nk
kk
hH
k
hH
k
x
nN fL
ny
ff
x
nN knLI
ny TT
ε
ε εε
ε
=




∈ −≥











 
⊆ ∈≤−≥≥∈
 




Therefore we have
( )
()
,
fp
Iw
xy
Theorem 3.5. Let
( )
I PN
be a non-trivial ideal in N, f be a modulus function,
( )
r
k
θ
=
be a lacunary
sequence and
0 infsup
kk kkk
h pppH< =≤≤=<∞
, then
1) if
( )
,fp
IN
xy
θ



then
( )
IS
xy
θ
,
2) if f is bounded then
( )
( )
,fp
IN IS
xyx y
θθ



∼ ⇔∼
.
Proof. Part 1): Take
0
ε
>
and let
1
denote the sum over
r
kI
with
k
k
xL
y
ε
−≥
. Then
( )( )
{ }
1
11 1
min ,:,
kk
r
pp
hH
kk k
r
kI
r krkrk
xx x
fLfLffkI L
h yhyhy
εε ε

 

−≥ −≥∈−≥

 
 

 

∑∑
T. Bilgin
1215
and
( )( )
{ }
1
;:
1
;min ,.
k
r
k
r
rk
p
hH
k
kI
rk
x
rN kIL
hy
x
rNfLf fI
hy
εγ
γ εε


 
∈∈−≥ ≥
 








⊆∈−≥∈









But then, by definition of an ideal, later
set belongs to I, and therefore
( )
IS
xy
θ
Part 2): Suppose that f is bounded and
( )
IS
xy
θ
. Since f is bounded, there exists an integer T such that
( )
fx T
for all
0x
. We see that
{ }
( )( )
{ }
,
11
max ,:max,,
k
r
p
hH
hH
kk
r
kI
rkr k
xx
fLTTkILff
hyh y
ε εε

 

−≤∈−≥ +

 
 

 

so we have
( )()
{}
{}
,
1
;
max ,
1
;: max ,
k
r
p
k
kI
rk
hH
k
rhH
rk
x
rNfL
hy
ff
x
rN kILI
hy TT
ε
ε εε
ε




∈ −≥











 
⊆ ∈∈−≥≥∈
 




Therefore we have
( )
,fp
IN
xy
θ



Let
k
pp
=
for all k,
k
tt=
for all k and
0pt
<≤
. Then it follows following T heorem.
Theorem 3.6. Let
( )
I PN
be a non-trivial ideal in N, f be a modulus function, and
( )
r
k
θ
=
be a
lacunary sequence, then
()
ft
IN
xy
θ
implies
fp
IN
xy
θ



,
Proof. Let
()
ft
IN
xy
θ
It follo ws from Holders inequality
11
rr
pt
pt
kk
kI kI
rk rk
xx
fL fL
hy hy
∈∈


 

−≤ −

 
 


 


∑∑
and
11
;;
rr
pt
tp
kk
kI kI
rk rk
xx
rNf LrNf LI
hyhy
εε
∈∈
 
 
 
 
∈−≥⊆∈−≥∈
 
 
 
 
 
 
 
 
 
∑∑
. Thus we have
fp
IN
xy
θ



We now consider that
( )
k
p
and
( )
k
t
are not constant sequences.
Theorem 3.7. Let
( )
I PN
be a non-trivial ideal in N, f be a modulus function,
()
r
k
θ
=
be a lacunary
sequence,
0
kk
pt<≤
for all k and
( )
kk
tp
be bounde d, then
( )
,ft
IN
xy
θ



implies
( )
,fp
IN
xy
θ



Proof. Let
( )
,ft
IN
xy
θ



.
k
t
k
kk
x
zfL
y


= −






and
( )
k kk
pt
λ
=
, so that
01
k
λλ
<≤ ≤
: We define the
sequences
( )
k
u
and
( )
k
v
as follows: For
1
k
z
; let
kk
uz=
and
0
k
v=
and for
1
k
z<
; let
kk
vz=
and
0
k
u=
. T hen we have
k kk
zuv= +
;
.
k kk
k kk
zuv
λ λλ
= +
Now it follows that
k
k kk
u uz
λ
≤≤
and
k
kk
vv
λλ
. There-
fore
T. Bilgin
1216
( )
1 111
k kk
r rrr
kkkk k
kIkIkIkI
r rrr
zuvz v
h hhh
λ λλλ
∈ ∈∈∈
=+≤+
∑ ∑∑∑
Now for each r;
1
1 11
11
1 11111
rrr rr
kk kk
kI kIkIkIkI
r rrrrr
vv vv
h hhhhh
λλ
λλ
λ
λλ λλ
λ
−−
∈∈∈ ∈∈
 
 
  
 
 
=≤<

  
 
 
 
  
 
 
∑∑∑ ∑∑
and so
1 111
11
, 1,1
11 1
,12, 1
k
k
r rrr
rr
rr r
p
kk kk
kIkI kI kI
rk rrr
kkkk
kI kI
rr
kk kkk
kI kIkI
rrr
x
fLzzv
hy hhh
zzzz
hh
zzzzz
hh h
λ
λ
λλ
∈ ∈∈∈
∈∈
∈∈ ∈

 
−=≤ +

 

 



≥≥


= ≤

 

+< <
 

 

∑ ∑∑∑
∑∑
∑∑ ∑
If
1
k
r
p
k
kI
rk
x
fL
hy
ε


−≥






then
1
1,1
1, <1
2
k
r
k
r
t
kk
kI
rk
t
kk
kI
rk
x
fL z
hy
x
fL z
hy
λ
ε
ε


−≥ ≥





 



−≥








Hence
1
11
;;min ,.
2
kk
rr
pt
kk
kI kI
rk rk
xx
rNf LrNf LI
hy hy
λ
ε
εε
∈∈
 
 

 
 

∈−≥⊆∈−≥∈
 
 
 

 
 

 
 
 
 
∑∑
Thus we ha ve
( )
,fp
IN
xy
θ



Acknowledgements
The wor k is s uppo rte d b y the P res ide ncy o f scientific Research P rojects of Y uz unc u Yil Univ ers ity ( No. KONGRE-
2014/94) and is presented at 3rd International Eurasian Conference on Mathematical Sciences and Applications
(IECMSA-2014).
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