ISSN: 1821-1291, URL: http://www.bmathaa.org Volume 8 Issue 1(2016), Pages 1-5.
ON ABSOLUTE FACTORABLE MATRIX SUMMABILITY METHODS
(COMMUNICATED BY HUSEYIN BOR)
MEHMET ALI SARIG ¨OL
Abstract. In this paper we give necessary and sufficient conditions for|C,0|k⇒ |Af|sand|Af|k⇒ |C,0|sfor the case 1< k≤s <∞, where|Af|kis absolute factorable summability. So we obtain some known results.
1. Introduction
LetPx
v be a given infinite series with partial sums (sn).Byσnαwe denoten.th Ces`aro mean of orderα,α >−1 , of the sequence (sn). The series Pxv is said to be absolutely summable (C, α) with indexk, or simply summable|C, α|k, k≥1,if (see [6])
∞
X
n=1
nk−1σ α n −σ
α n−1
k
<∞. (1.1)
Sinceσ0
n=sn, the summability|C,0|k is equivalent to
∞
X
n=1
nk−1|xn| k
<∞. (1.2)
Let (pn) be a sequence of positive real constants withPn=p0+p1+...+pn→ ∞ asn→ ∞. The sequence-to-sequence transformation
tn = 1 Pn
n X
v=0
pvsv
defines the sequence (tn) of the (R, pn) Riesz mean of the sequence (sn), generated by the sequence of coefficients (pn). The series Σxv is then said to be summable |R, pn|k, k≥1, if (see [13])
∞
X
n=1
nk−1|tn−tn−1| k
<∞. (1.3)
2000Mathematics Subject Classification. 40C05,40D25,40F05, 46A45.
Key words and phrases. Absolute Riesz summability; matrix transformation; sequence space. c
2016 Universiteti i Prishtin¨es, Prishtin¨e, Kosov¨e. Submitted January 10, 2016. Published January 25, 2016.
Now, by|Rp|klet us denote the set of series summable by the summability method |R, pn|k.Then it is easily seen that
|Rp|k=
a= (an) :
∞
X
n=1
nk−1
pn
PnPn−1 n X
v=1
Pv−1xv k <∞
, k≥1,
and so it means that the series Σxvis summable|R, pn|kif and only if the sequence
x= (xv)∈ |Rp|k.
Here, we extend the summability|R, pn|k with factorable matrix as follows: The series Σxv is said to be summable |Af|k, k≥1, if
∞
X
n=1
nk−1
b an n X v=1
avxv k
<∞. (1.4)
A factorable matrixAf = (anv) is one in which each entry
anv =
b
anav, 0≤v≤n
0, v > n (1.5) where (ban) and (an) are any sequences of real numbers. Note that it is possible to get from it some known notations. For example, if one takesban =pn/PnPn−1,
av=Pv−1andban = 1/n(n+1), av=v,then|Af|kare reduced to the summabilities |R, pn|k and|C,1|k, respectively.
If A and B are methods of summability, B is said to include A (writtenA⇒B) if every series summable by the method A is also summable by the method B. A and B said to be equivalent (writtenA⇔B) if each methods includes the other.
Problems on inclusion dealing absolute Ces`aro and absolute weighted mean summabilities have been examined by many authors ([2-14]). On this topic, Bor [2] proved sufficient conditions for equivalence of the summabilities|R, pn|kand|C,0|k as follows.
Theorem 1.1. Letk >1 and
∞
X
n=v
nk−1pk n
Pk nPn−1
=O
vk−1pk v−1
Pk v−1
. (1.6)
If
Pn+1≥dPn. (1.7) where d is a constant such thatd >1, then|R, pn|k⇔ |C,0|k.
It has been more recently shown by Sarıg¨ol [10] that the condition (1.6) is omit-ted, and the condition (1.7) is not only sufficient but also necessary for Theorem 1.1 to hold, and also been completed in the following way.
Theorem 1.2. Let 1< k≤s <∞.Then,|R, pn|k⇒ |C,0|sif and only if
m X
v=m−1 1 v
P vPv−1
pv
k∗!1/k ∗
m+1 X
n=m
ns−1
Ps n−1
!1/s
=O(1), (1.8)
where k* denotes the conjugate index ofk, i.e., 1 k+
Theorem 1.3. Let 1< k≤s <∞.Then,|C,0|k ⇒ |R, pn|sif and only if v
X
m=1
Pmk∗−1 m
!1/k∗ ∞
X
n=v
n1−1/sp n
PnPn−1
s!1/s
=O(1), (1.9)
where k* denotes the conjugate index ofk.
Corollary 1.4. Let k ≥ 1. Then, |C,0|k ⇔ |R, pn|k if and only if condition (1.6) is satisfied.
2. Main Results
The aim of this paper is to generalize the above theorems for summability|Af|k. Now we prove the following theorems.
Theorem 2.1. Let 1< k≤s <∞and A be a factorable matrix given by (1.5) such thatban.an6= 0 for all n. Then, |Af|k|⇒ |C,0|sif and only if
m X
v=m−1 1
v|bav| k∗
!1/k∗ m+1 X
n=m
ns−1
|an|s !1/s
=O(1), (2.1)
where k* denotes the conjugate index of k, i.e., 1 k +
1 k∗ = 1
Theorem 2.2. Let 1< k≤s <∞and A be a factorable matrix given by (1.5). Then,|C,0|k⇒ |Af|s if and only if
m X
v=1 1 v|av|
k∗
!1/k∗ ∞ X
n=m
ns−1|ban|s !1/s
=O(1), (2.2)
where k* denotes the conjugate index ofk.
Now Theorem 2.1 and Theorem 2.2 immediately give the following result. Corollary 2.3. Let 1 < k < ∞ and A be a factorable matrix given by (1.5) such thatban.an 6= 0 for all n. Then,|C,0|k ⇔ |Af|s if and only if the conditions (2.1) and (2.2) with k=sare satisfied.
Before proving theorems we recall a result of Bennett [1] thatT :`k→`sif and only if
m X
v=1
ckv∗
!1/k∗ ∞
X
n=m
bsn !1/s
=O(1), (2.3)
whereT = (tnv) =bncv is a factorable matrix with nonegative entricebncv. Proof of Theorem 2.1. Letx∗
n=n1/s ∗
xn and A∗n(x) =n1/k ∗
An(x),where
An(x) =ban n X
v=1
avxv, n≥1. (2.4)
Then, Σxn is summable |Af|k and|C,0|s iffA∗(x)∈ lk andx∗ ∈ls, respectively. On the other hand, it can be written from (2.4) that
xn = 1 an
A n(x) b
an
−An−1(x) b
an−1
(2.5)
and so
x∗n= n 1/s∗
an
n−1/k∗A∗n(x)
b
an
−(n−1)
−1/k∗
A∗n−1(x)
b
an−1
which gives us
x∗n=
∞
X
v=1
tnvA∗v(x),
where
tnv =
n1/s∗ an
−(n−1)−1/k ∗
b
an−1
, v=n−1 n1/s∗
an
n−1/k∗
b
an
, v=n. 0, v6=n−1, n
(2.6)
Then,|Af|k |⇒ |C,0|sif and only if
∞
X
n=1 |A∗n(x)|
k
<∞=⇒
∞
X
n=1 |x∗n|
s
<∞, i.e., T :`k →`s,
whereT is the matrix whose entries are defined by (2.6). Therefore, applying (2.3) to the matrixT, we have that|Af|k |⇒ |C,0|s iff the condition (2.1) holds, which completes the proof.
Proof of Theorem 2.2. Letn≥1 andx∗n=n1/k∗x
nandA∗n(x) =n1/s ∗
An(x), whereAn(x) is given by (2.4). Then,
A∗n(x) =n1/s∗ban n X
v=1
v−1/k∗avx∗v= n X
v=1
hnvx∗v
where
hnv =
n1/s∗ b
anv−1/k ∗
av, 1≤v≤n 0, v > n.
Since the reminder of the proof is similar to the above, so it can be omitted.
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Mehmet Ali Sarıg¨ol, Department of Mathematics, Pamukkale University, Denizli 20070, Turkey