Patterson 1 and Ekrem Savas¸ 2 1 Department of Mathematics and Statistics, University of North Florida, 1 UNF Drive, Jacksonville, FL 32224, USA 2 Department of Mathematics, Istanbul com
Trang 1Volume 2008, Article ID 948195, 12 pages
doi:10.1155/2008/948195
Research Article
Summability of Double Independent
Random Variables
Richard F Patterson 1 and Ekrem Savas¸ 2
1 Department of Mathematics and Statistics, University of North Florida, 1 UNF Drive, Jacksonville,
FL 32224, USA
2 Department of Mathematics, Istanbul commerce University, Uskudar, 34672 Istanbul, Turkey
Received 21 May 2008; Accepted 1 July 2008
Recommended by Jewgeni Dshalalow
We will examine double sequence to double sequence transformation of independent identically distribution random variables with respect to four-dimensional summability matrix methods
maxk,l |a m,k a n,l | Om −γ1On −γ2, γ1, γ2 > 0, then E | ˘X|11/γ 1 < ∞ and E| ˘˘X|11/γ 2 <∞ imply that
the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
1 Introduction
Let X k,l be a factorable double sequence of independent, identically distributed random
variables with E|X k,l | < ∞ and EX k,l μ Let A a m,n,k,lbe a factorable double sequence to double sequence transformation defined as
Ax m,n ∞,∞
k,l 1,1
These factorable sequences and matrices will be used to characterize such transformations with respect to Robison and Hamilton-type conditions see 1, 2 That is,regularity
conditions of the following type The four-dimensional matrix A is RH-regular if and only
if
RH1: P-limm,n a m,n,k,l 0 for each k and l;
RH2: P-limm,n
k,l a m,n,k,l 1;
RH3: P-limm,n
k |a m,n,k,l | 0 for each l;
RH4: P-limm,n
l |a m,n,k,l | 0 for each k;
RH5:
k,l |a m,n,k,l| is P-convergent; and
RH6: there exist positive numbers A and B such that
k,l>B |a m,n,k,l | < A.
Trang 2Throughout this paper, we will denote ∞,∞
k,l 1,1 a m,n,k,l X k,l by Y m,n and examine Y m,n with respect to the Pringsheim converges To accomplish this goal, we begin by presenting and prove the following theorem A necessary and sufficient condition that Ym,n ˘Y m ˘˘Y n P-converges to μ in probability is that max k,l |a m,n,k,l| maxk,l |a m,k a n,l| converges to 0 in the Pringsheim sense This theorem and other similar to it will be used in the pursuit of establishing the following If maxk,l |a m,n,k,l| maxk,l |a m,k a n,l | Om −γ1On −γ2, γ1, γ2 > 0,
then
E | ˘X|11/γ 1 < ∞, E | ˘˘X|11/γ 2 <∞ 1.2
implies that Y m,n → μ almost sure P-convergence.
2 Definitions, notations, and preliminary results
Let us begin by presenting Pringsheim’s notions of convergence and divergence of double sequences
Definition 2.1see 3 A double sequence x xk,l has Pringsheim limit L denoted by P-lim x L provided that given > 0 there exists N ∈ N such that |x k,l − L| < whenever
k, l > N We will describe such an x more briefly as “P-convergent.”
Definition 2.2 A double sequence x is called definite divergent, if for everyarbitrarily large
G > 0 there exist two natural numbers n1and n2such that|x n,k | > G for n ≥ n1, k ≥ n2.
Throughout this paper, we will also denote∞,∞
k,l 1,1 by
k,l Using these definitions, Robison and Hamilton presented a series of concepts and matrix characterization of P-convergence The first definition they both presented was the following The
four-dimensional matrix A is said to be RH-regular if it maps every bounded P-convergent
sequence into a P-convergent sequence with the same P-limit The assumption of bounded-ness was made because a double sequence which is P-convergent is not necessarily bounded They both independently presented the following Silverman-Toeplitz type characterization
of RH-regularity4,5
Theorem 2.3 The four-dimensional matrix A is RH-regular if and only if
RH1: P-lim m,n a m,n,k,l 0 for each k and l;
RH2: P-lim m,n
k,l a m,n,k,l 1;
RH3: P-lim m,n
k |a m,n,k,l | 0 for each l;
RH4: P-lim m,n
l |a m,n,k,l | 0 for each k;
RH5:
k,l |a m,n,k,l | is P-convergent; and
RH6: there exist positive numbers A and B such that
k,l>B |a m,n,k,l | < A.
Following Robison and Hamilton work, Patterson in6 presented the following two notions of subsequence of a double sequence
Definition 2.4 The double sequence y is a double subsequence of the sequence x provided
that there exist two increasing double index sequences{n j } and {k j } such that if z j x n ,k,
Trang 3then y is formed by
z1 z2 z5 z10
z4 z3 z6 —
z9 z8 z7 —
— — — —.
2.1
Definition 2.5 Patterson 6 A number β is called a Pringsheim limit point of the double sequencex provided that there exists a subsequence y of x that has Pringsheim limit
β: P-lim y β.
Using these definitions, Patterson presented a series of four-dimensional matrix characterizations of such sequence spaces Let{x k,l} be a double sequence of real numbers
and, for each n, let α n supn {x k,l : k, l ≥ n} Patterson 7 also extended the above notions with the presentation of the following The Pringsheim limit superior of x is defined as
follows:
1 if α ∞ for each n, then P-lim sup x : ∞;
2 if α < ∞ for some n, then P-lim sup x : inf n {α n }.
Similarly, let β n infn {x k,l : k, l ≥ n} Then the Pringsheim limit inferior of x is defined as
follows:
1 if β n −∞ for each n, then P-lim inf x : −∞;
2 if β n > −∞ for some n, then P-lim inf x : sup n {β n }.
3 Main result
The analysis of double sequences of random variables via four-dimensional matrix transformations begins with the following theorem However, it should be noted that the relationship between our main theorem that is stated above and the next four theorems will
be apparent in their statements and proofs
Theorem 3.1 A necessary and sufficient condition that Y m,n ˘Y m ˘˘Y n P-converges to μ in probability
is that max k,l |a m,n,k,l| maxk,l |a m,k a n,l | converges to 0 in the Pringsheim sense.
Proof First, note that
lim
˘T→∞ ˘TP| ˘X| ≥ ˘T 0, lim
because E| ˘X| < ∞ and E| ˘˘X| < ∞ Let T ˘T ˘˘T, X m,n,k,l ˘X m,k X˘˘n,l , a m,n,k,l X k,l a m,k X˘
k a n,l X˘˘
l,
and Z m,n ˘Z m Z˘˘n k,l X m,n,k,l For sufficiently large m and n and since maxk,l |a m,n,k,l| is
Trang 4a P-null sequence, it follows from3.1 that
P Z m,n / Y m,n ≤
k,l
P X m,n,k,l / a m,n,k,l X k,l
k,l
P
| ˘X| ≥ |a1
m,k|;| ˘˘X| ≥
1
|a n,l|
≤ k,l
|a m,n,k,l|
≤ M,
3.2
where M is define by RH6of regularity conditions Therefore, it suffices to show that
P-lim
Observe that
E Z m,n − μ
k,l
a m,n,k,l
| ˘x|<1/|a m,k|x d ˘F˘
| ˘˘x|<1/|a n,l|˘˘x d ˘˘F − μ
μ
k,l
a m,n,k,l− 1 , 3.4 which is a P-null sequence Since
1
˘T ˘˘T
| ˘x|< ˘T
| ˘˘x|< ˘˘T x˘2˘˘x2d ˘F d ˘˘F 1
˘T ˘˘T {− ˘T
2
P | ˘X| ≥ ˘T · − ˘˘T2P | ˘˘X| ≥ ˘˘T}
1
˘T ˘˘T
2
˘T
0
˘
xP | ˘X| ≥ ˘xd ˘x · 2
˘˘T
0
˘˘xP | ˘˘X| ≥ ˘˘xd ˘˘x
is a P-null sequence with respect to T, we have
k,l
Var X m,n,k,l≤
k,l
|a m,n,k,l|2
| ˘x|<1/|a m,k|x˘2d ˘F
| ˘˘x|<1/|a n,l|˘˘x2d ˘˘F ≤
k,l
|a m,n,k,l | ≤ M 3.6
for m and n sufficiently large, where F ˘F ˘˘F and x ˘x ˘˘x It is also clear that Ek,l x m,n,k,l2is finite Thus,
k,l Var X m,n,k,l Var
k,l
is finite The result clearly follows from the Chebyshev’s inequality Thus, the sufficiency is proved
Now, let us consider the necessary part of this theorem Similar to Pruitt’s notation8,
let U k,l X k,l − μ and consider the transformation T m,n k,l a m,n,k,l U k,l Our goal become
showing that T m,n P-converges in probability to 0 Which imply that T m,nP-converges in law
to 0 Let us consider the characteristic function of T m,n,that is,
E e uT m,n Ee u
k,l a m,n,k,l U k,l EΠ k,l e ua m,n,k,l U k,l Πk,l E e ua m,n,k,l U k,l : Πk,l g ua m,n,k,l .
3.8
Trang 5Observe that
P-lim
Because
|Πk,l g ua m,n,k,l | ≤ |gua m,n,k,l| ≤ 1 3.10 for allm, n we have that
P-lim
for allk, l Clearly, there exists u0such that|gua m,n,k,l | < 1 for 0 < |u| < u0 Let u u0/2M
then there exists a double subsequencea m,n,k m ,l n such that
|ua m,n,k m ,l n | ≤ Mu u0
Thus P-limm,n ua m,n,k m ,l n 0 Therefore, clearly we can choose k m , l n such that
|a m,n,k m ,l n| max
Theorem 3.2 If E| ˘X|11/γ1 < ∞, E| ˘˘X|11/γ2 < ∞, and max k,l |a m,n,k,l| maxk |a m,k| · maxl |a n,l | ≤ ˘Bm −γ1˘˘Bn −γ2, then for every > 0
m,n
P |a m,n,k,l X k,l | ≥ for some k, l < ∞, 3.14
that is,
m,n
P |a m,k X˘
k | ≥ ; |a n,l X˘˘
l | ≥ for some k, l < ∞. 3.15
Proof Let
N m,n x N m,n ˘x ˘˘x
{k,l:1/|a m,k |≤ ˘x; 1/|a n,l |≤ ˘˘x}
|a m,n,k,l |. 3.16
Note x ˘x ˘˘x, and observe that N m,n x 0 for ˘x < m γ1, ˘˘ x < n γ2, and ∞0 d N m,n x
k,l |a m,n,k,l | ≤ M If
G x P|X| ≥ x P| ˘X| ≥ ˘xP| ˘˘X| ≥ ˘˘x G ˘xG ˘˘x, 3.17
Trang 6then xGx converges to 0 in the Pringsheim sense because EX < ∞ and recalled that
T ˘T ˘˘T Therefore,
k,l
P |a m,n,k,l x k,l| ≥ 1
k,l
G
1
|a m,n,k,l|
k,l
1
|a m,n,k,l|G
1
|a m,n,k,l|
|a m,n,k,l|
∞
0
xG xdN m,n x
N m,n TTGT|∞
0|∞
0 −
∞
0
N m,n xdxGx
lim
T→∞N m,n TTGT −
∞
0
N m,n xdxGx
≤ M
∞
m γ1
∞
n γ2 |dxGx|
M
∞
m γ1
∞
n γ2 |d ˘xG ˘xd ˘˘xG ˘˘x|.
3.18
Our goal now is to get an estimate for ∞m γ1 ∞n γ2 |dxGx| To this end observe that, for z < y
yG y − zGz y − zGz yGz − Gy, 3.19
where y − zGz and yGz − Gy are increasing and decreasing functions of y,
respectively Thus
y˘
˘z
˘˘y
˘˘z d |xGx| ≤ ˘y − ˘zG ˘z ˘yG ˘z − G ˘y · ˘˘y − ˘˘zG ˘˘z ˘˘yG ˘˘z − G ˘˘Y. 3.20 The last inequality grant us the following:
∞
m γ1
∞
n γ2 |d ˘xG ˘xd ˘˘xG ˘˘x|
∞,∞
i,j m,n
i1 γ1
i γ1
j1 γ2
j γ2 |d ˘xG ˘xd ˘˘xG ˘˘x|
≤ ∞,∞
i,j m,n
{i 1 γ1− i γ1Gi γ1 · j 1 γ2− j γ2Gj γ2}
∞,∞
i,j m,n
{i 1 γ1Gi γ1 − Gi 1 γ1· j 1 γ2Gj γ2 − Gj 1 γ2}.
3.21
Trang 7∞
m γ1
∞
n γ2 |d ˘xG ˘xd ˘˘xG ˘˘x|
≤ 2∞,∞
i,j m,n
{i 1 γ1Gi γ1 − Gi 1 γ1· j 1 γ2Gj γ2 − Gj 1 γ2}.
∞
m,n
P |a m,n,k,l X k,l | ≥ for some k, l
≤∞
m,n
∞
k,l
P |a m,n,k,l X k,l | ≥
≤ 2M ∞,∞ m,n 1,1
∞,∞
i,j m,n
{i1 γ1Gi γ1−Gi1 γ1· j1 γ2Gj γ2−Gj1 γ2}
2M ∞,∞ i,j 1,1
{i 1 γ1Gi γ1 − Gi 1 γ1· j 1 γ2Gj γ2 − Gj 1 γ2}
≤ 21γ 121γ2M
| ˘x|11/γ1| ˘˘x|11/γ2d ˘F ˘xd ˘˘F ˘˘x
< ∞.
3.22
Theorem 3.3 Let x and F be define as in Theorem 3.2 If E | ˘X|11/γ 1 < ∞, E| ˘˘X|11/γ 2 < ∞, and
maxk,l |a m,n,k,l| maxk |a m,k| · maxl |a n,l | ≤ ˘Bm −γ1˘˘Bn −γ2then for α1< γ1/2 γ11 and α2 < γ2/2 γ2 1
m,n
P |a m,n,k,l X k,l | ≥ m α1n α2 for at least two pairs k, l < ∞, 3.23
that is,
m,n
P |a m,k X˘
k | ≥ m α1;|a n,l X˘˘
l | ≥ n α2 for at least two pairs k, l < ∞. 3.24
Proof By Markov’s inequality, we have the following:
m
P |a m,k X˘
k | ≥ m α1 ≤ |a m,k|11/γ 1E | ˘x|11/γ1m α111/γ1 ,
n
P |a n,l X˘˘
l | ≥ n α2 ≤ |a n,l|11/γ 2E | ˘˘x|11/γ 2n α211/γ2 .
3.25
Trang 8
m,n
P |a m,k X˘
k | ≥ m α1;|a n,l X˘˘
l | ≥ n α2 for at least two pairsk, l
i / k, j / l
P |a m,i X˘
i | ≥ m α1;|a m,k X˘
k | ≥ m α1;|a n,j X˘˘
j | ≥ n α2;|a n,l X˘˘
l | ≥ n α2
≤ E| ˘x|11/γ 12m 2α111/γ1
i / k
|a m,i|11/γ 1|a m,k|11/γ 1
· E| ˘˘x|11/γ 22n 2α211/γ2
j / l
|a n,j|11/γ 2|a n,l|11/γ 2
≤ E| ˘x|11/γ 12· E| ˘˘x|11/γ 22˘B 2/γ1˘˘B 2/γ2
M4m2−1α111/γ1 n2−1α211/γ2 ,
3.26
which is P-convergent when sum on n and m provided that α1 < γ1/2 γ1 1 and α2 <
γ2/2 γ2 1
Theorem 3.4 Let x and F be define as in Theorem 3.2 If μ 0, E| ˘X|11/γ 1 < ∞, E| ˘˘X|11/γ 2 < ∞,
and max k,l |a m,n,k,l| maxk |a m,k| · maxl |a n,l | ≤ ˘Bm −γ1˘˘Bn −γ2then for > 0
m,n
P
k,l
|a m,n,k,l X k,l | ≥
where
k,l
a m,n,k,l X k,l
{k:|a m,k X k |<m −α1 l: |a n,l X l |<n −α2}
a m,n,k,l X k,l , 3.28
α1< γ1, and α2< γ2.
Proof Let
X m,n,k,l:
⎧
⎪
⎪
X m,k; if|a m,k X k | < m −α1,
X n,l; if|a n,l X l | < n −α2,
0; otherwise,
3.29
and β m,n,k,l EX m,n,k,l If a m,n,k,l 0, then β m,n,k,l μ 0 and if a m,n,k,l / 0, then
|β m,n,k,l|
μ −| ˘x|≥m −α1 |a
m,k| −1
| ˘˘x|≥m −α2 |a n,l| −1x dF
≤
| ˘x|≥m −α1 ˘B−1m γ1
| ˘˘x|≥n −α2 ˘˘B−1n γ2 |x|dF.
3.30
Therefore, P-limm,n β m,n,k,l 0 uniformly in k, l and P-lim m,n
k,l a m,n,k,l β m,n,k,l 0 Let
Z m,n,k,l Z m,k Z n,l X m,n,k,l − β m,n,k,l , 3.31
Trang 9so that EZ m,n,k,l 0, E|Z m,k|11/γ 1 < c1, and E |Z n,l|11/γ 2 < c2 for some c1 and c2 Also
|a m,k Z m,k | ≤ 2m −α1and|a n,l Z n,l | ≤ 2n −α2 Observe that
k,l
a m,n,k,l X k,l
k,l
a m,n,k,l X m,n,k,l
k,l
a m,n,k,l Z m,n,k,l
k,l
a m,n,k,l β m,n,k,l 3.32
Note for sufficiently large m and n
k,l
a m,n,k,l X k,l
≥
⊂
k,l
a m,n,k,l Z m,n,k,l
≥
2
Thus it is sufficient to show that
m,n
P
k,l
|a m,n,k,l Z m,n,k,l|
≥
Let η1and η2be the least integers greater than 1/γ1and 1/γ2, respectively Our goal now is to produce an estimate for
E
k
a m,k Z m,k
2η1
l
a n,l Z n,l
2η2
Observe that
E
k
a m,k Z m,k
2η1
l
a n,l Z n,l
2η2
3.36
is equal to
k1,k2, ,k 2p ; l1,l2, ,l 2q
E
2p
i1
2q
j1
a m,n,k i ,l j Z m,n,k i ,l j 3.37
It happens to be the case that Ek a m,k Z m,k2η1l a n,l Z n,l2η2 is zero if k i , l i / k j , l j for i / j because the Z m,n,k,l ’s are independent and EZ m,n,k,l 0 Let us now consider the general term Thus
p1of the ks φ1, , p θ1of the ks φ θ1,
q1 of the ks ϕ1, , q θ2 of the ks ϕ θ2,
r1 of the ls κ1, , r τ1 of the ls κ τ1,
s1 of the ls ω1, , s τ2 of the ls ω τ2,
3.38
where 2≤ p i ≤ 1 1/γ1, q j > 1 1/γ1, 2≤ r λ ≤ 1 1/γ2, s χ > 1 1/γ2,
θ1
i1
p iθ2
j1
q j 2η1,
τ1
λ1
r iτ2
χ1
s χ 2η2.
3.39
Trang 10Now let us consider the following expectation:
E
θ
1
i1
a m,φ i Z m,φ ip i·θ2
j1
a m,ϕ j Z m,ϕ jq j·τ1
λ1
a n,κ λ Z n,κ λr λ
τ2
χ1
a n,ω χ Z n,ω χs χ
≤ 1 c1θ11 c2τ1·τ2
χ1
|a m,φ i|p i
τ1
λ1
|a n,κ λ|r λ
· E
θ
2
j1
a m,ϕ j Z m,ϕ jq j·τ2
χ1
a n,ω χ Z n,ω χs χ
≤ 1 c1θ11 c2τ1·θ1
i1
|a m,φ i|p i
τ1
λ1
|a n,κ λ|r λ
·θ2
j1
|a m,ϕ j|11/γ12m −α1q j −1−1/γ1·τ2
χ1
|a n,ω χ|11/γ 22n −α2s χ −1−1/γ2
≤ 1 c1θ11 c2τ1·θ1
i1
|a m,φ i ||a m,φ i|p i−1
·τ1
λ1
|a n,κ λ ||a n,κ λ|r λ−1·θ2
j1
|a m,ϕ j|11/γ 12m −α1q j −1−1/γ1
·τ2
χ1
|a n,ω χ|11/γ22n −α2s χ −1−1/γ2
≤ 1 c1θ11 c2τ1·θ1
i1
|a m,φ i|τ1
λ1
|a n,κ λ|θ2
j1
|a m,ϕ j|τ2
χ1
|a n,ω χ|
· ˘Bm −γ1θ1 i1p i −1θ2/γ12m −α1θ2 j1q j −1−1/γ1
· ˘˘Bn −γ2τ1 λ1r λ −1τ2/γ22n −α2τ2 χ1s χ −1−1/γ2 ,
3.40
where c1and c2are upper bound for E|Z m,k | and E|Z n,l|, respectively Now let us examine the negative exponents, that is,
γ1
θ1
i1
p i − 1 θ2 α1
θ2
j1
q j− 1 − 1
γ1
,
γ2
τ1
λ1
r λ − 1 τ2 α2
τ2
χ1
s χ− 1 − 1
γ2
.
3.41
Observe that, if θ2and τ2are 1 or large, then
θ2 α1
θ2
j1
q j− 1 − 1
γ1
≥ 1 α1
η1− 1
γ1
,
τ2 α2
τ2
χ1
s χ− 1 − 1
γ2
≥ 1 α2
η2− 1
γ2
,
3.42