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LOGARITHMIC MATRIX TRANSFORMATIONS INTO
G
wMULATU LEMMA
Received 10 March 2003 and in revised form 1 July 2003
We introduced the logarithmic matrixLtand studied it as mappings intoandGin 1998 and 2000, respectively. In this paper, we studyLtas mappings intoGw.
2000 Mathematics Subject Classification: 40A05, 40C05.
1. Introduction. The logarithmic power series method of summability [1], denoted byL, is the following sequence-to-function transformation: if
lim x→1−
− 1
log(1−x)
∞
k=0
1 k+1ukx
k+1
=A, (1.1)
thenuisL-summable toA. The matrix analogue of theL-summability method is the Ltmatrix [2] given by
ank= − 1 log1−tn
1 k+1t
k+1
n , (1.2)
where 0< tn<1 for allnand limntn=1. Thus, the sequenceuis transformed into the sequenceLtuwhosenth term is given by
Ltun= − 1 log1−tn
∞
k=0
1 k+1ukt
k+1
n . (1.3)
TheLtmatrix is called the logarithmic matrix. Throughout this paper,twill denote such a sequence: 0< tn<1 for alln, and limntn=1.
2. Basic notations and definitions. LetA=(ank)be an infinite matrix defining a sequence-to-sequence summability transformation given by
Axn=
∞
k=0
ankxk, (2.1)
this paper, we will use the following basic notations and definitions:
=
y:
∞
k=0
ykis convergent
,
(A)= {y:Ay∈},
G=y:yk=Orkfor somer∈(0,1),
Gw=y:yk=Orkfor somer∈(0,w),0< w <1, Gw(A)=y:Ay∈Gw,
c= {the set of all convergent sequences}, c(A)=y:A(y)∈c.
(2.2)
Definition2.1. If Xand Y are complex number sequences, then the matrixA is
called anX-Ymatrix if the imageAuofuunder the transformationAis inYwhenever uis inX.
Definition2.2. The summability matrixA is said to be Gw-translative for a
se-quenceuinGw(A)provided that each of the sequencesTuandSuis inGw(A), where Tu= {u1,u2,u3,...}andSu= {0,u0,u1,...}.
Definition2.3. The matrixAisGw-stronger than the matrixBprovided thatGw(B) ⊆Gw(A).
3. Main results. Our first main result gives a necessary and sufficient condition for Ltto beGw-Gw.
Theorem3.1. The logarithmic matrixLtis aGw-Gwmatrix if and only if−1/log(1−
t)∈Gw.
Proof. Since 0< tn<1, it follows that
ank
log1−tn≤ −1, (3.1)
for allnandk. Therefore, if−1/log(1−t)∈Gw, [3, Theorem 2.3] guarantees thatLt is aGw-Gw matrix. Conversely, if −1/log(1−t)∉Gw, then the first column ofLt is not inGw becausean,0= −tn/log(1−tn)∉Gw. Hence,Lt is not a Gw-Gw matrix by
[3, Theorem 2.3].
Corollary3.2. If0< tn< un<1andLtis aGw-Gwmatrix, thenLuis also aGw-Gw
matrix.
Corollary3.3. Supposeα >−1andLtis anGw-Gw matrix, then(1−t)α+1∈Gw.
Corollary3.4. Lettn=1−e−qn, whereqn=rn. ThenLtis aGw-Gw matrix if and
only ifr >1/w.
Gw
The next result suggests that the logarithmic matrixLtisGw-stronger than the iden-tity matrix. The result indicates that theLt matrix is rather a strong method in the Gw-Gw setting.
Theorem3.6. IfLt is aGw-Gw matrix and the series ∞
k=0xk has bounded partial sums, then it follows thatx∈Gw(Lt).
Proof. The proof easily follows using the same techniques as in the proof of
Theorem 3.10 [2].
Remark3.7. Theorem 3.6indicates that ifLtis aGw-Gw matrix, thenGw(Lt)
con-tains the class of all conditionally convergent series. This suggests how large the size ofGw(Lt)is. In fact, we can give a further indication of the size ofGw(Lt)by showing that ifLtis aGw-Gwmatrix, thenGw(Lt)contains also an unbounded sequence. To see this, consider the sequencexgiven by
xk=(−1)k(k+1)2(k+2)(k+3). (3.2)
Then
∞
k=0
1 k+1xkt
k+1
n =tn
∞
k=0
(−1)k(k+1)(k+2)(k+3)tnk= 6tn
1+tn4. (3.3)
Hence,
Ltx n=
6tn
−log1−tn1+tn4≤ − 6
log1−tn. (3.4)
Thus, ifLtis anGw-Gwmatrix, then byTheorem 3.1,−1/log(1−t)∈Gw, sox∈Gw(Lt).
The next few results deal with theGw-translativity ofLt. We will show that theLt matrix isGw-translative for some sequences inGw(Lt).
Proposition3.8. EveryGw-Gw Lt matrix isGw-translative for each sequencex∈
Gw.
Theorem 3.9. SupposeLt is aGw-Gw matrix and {xk/k}is a sequence such that
xk/k=0for k=0, then the sequence {xk/k}is in Gw(Lt) for eachL-summable se-quencex.
Proof. LetY be theLt-transform of the sequence{xk/k}. Then we have
Yn= − 1 log1−tn
∞
k=0
1 k(k+1)xkt
k+1
n
≤Cn+Dn, (3.5)
where
Cn= − x1tn
2 log1−tn−
x2tn 6 log1−tn,
Dn= − 1 log1−tn
∞
k=3
1 k(k+1)xkt
k n .
ByTheorem 3.1, the hypothesis thatLtisGw-Gw implies thatC∈Gw, and hence there remains only to showD∈Gw to prove the theorem. Note that
Dn= −log1 1−tn
∞
k=3
xk (k+1)
tn
0 t
k−1dt
= − 1 log1−tn
tn
0 dt ∞
k=3
1 (k+1)xkt
k−1 .
(3.7)
The interchanging of the integral and the summation is legitimate as the radius of convergence of the power series
∞
k=3
1 k+1xkt
k−1 (3.8)
is at least 1 by [2, Lemma 1] and hence the power series converges absolutely and uniformly for 0≤t≤tn. Now we let
F(t)=
∞
k=3
1 k+1xkt
k−1
. (3.9)
Then we have
−logF(t) (1−t)= −
1 log(1−t)
∞
k=3
1 k+1xkt
k−1
, (3.10)
and the hypothesis thatx∈c(L)implies that
lim t→1−
F(t)
−log(1−t)=A (finite), for 0< t <1. (3.11)
We also have
lim t→0
F(t)
−log(1−t)=0. (3.12)
Now (3.11) and (3.12) yield
−logF(t)(1−t)≤M, for someM >0, (3.13)
and hence
Gw
So, we have
Dn= −log1 1−tn
0tnF(t)dt
≤ −log1 1−tn
tn
0
F(t)dt
≤ −logM 1−tn
tn
0 −log(1−t)dt
= −M1−tn−logMtn 1−tn
≤ −logM 1−tn.
(3.15)
The hypothesis thatLtisGw-Gw implies that both−1/log(1−t)and(1−t)are inGw byTheorem 3.1. HenceD∈Gw.
Theorem3.10. EveryGw-Gw Lt matrix isGw-translative for eachL-summable
se-quence inGw(Lt).
Proof. Letx∈c(L)∩Gw(Lt). Then we will show that
(i) Tx∈Gw(Lt), (ii) Sx∈Gw(Lt).
We first show that (i) holds. Note that
LtTx n= −
1 log1−tn
∞
k=0
1 k+1xk+1t
k+1
n
= −log1 1−tn
∞ k=1 1 kxkt k n
= − 1 log1−tn
∞
k=1
1
k+1+ 1 k(k+1)
xktk n ≤Pn+Qn,
(3.16)
where
Pn= −log1 1−tn
∞
k=1
1 k+1xkt
k n ,
Qn= − 1 log1−tn
∞ k=1 1 k(k+1)xkt
k n . (3.17)
Next we will show that (ii) holds. We have
LtSx n= −
1 log1−tn
∞
k=1
1 k+1xk−1t
k+1
n
= −log1 1−tn
∞
k=0
1 k+2xkt
k+2
n ≤Wn+Un,
(3.18)
where
Wn= −log11−tn
∞
k=0
1 k+1xkt
k+2
n ,
Un= −log1 1−tn
∞
k=0
1
(k+1)(k+2)xkt k+2
n .
(3.19)
The hypothesis thatX∈Gw(Lt)implies thatW∈Gw. We can also show thatU∈Gw by making a slight modification in the proof ofTheorem 3.9, replacing the sequence {xk/k}with the sequence{xk/(k+2)}. Hence, the theorem follows.
Acknowledgments. I would like to thank the referee for great assistance. I want to
thank my wife Mrs. Tsehaye Dejene Habtemariam and my two great daughters Samera Mulatu and Abyssinia Mulatu for their great cooperation during my work on this paper. I also want to thank Dr. Harpal Sengh, the Chair of the Department of Natural Sciences and Mathematics, for his great support and encouragement.
References
[1] D. Borwein,A logarithmic method of summability, J. London Math. Soc.33(1958), 212–220. [2] M. Lemma,Logarithmic transformations intol1, Rocky Mountain J. Math.28(1998), no. 1,
253–266.
[3] S. Selvaraj,Matrix summability of classes of geometric sequences, Rocky Mountain J. Math. 22(1992), no. 2, 719–732.
Mulatu Lemma: Department of Natural Sciences and Mathematics, Savannah State University, Savannah, GA 31406, USA