1 Gen. Math. Notes, Vol. 9, No. 1, March 2012, pp.44-51 c ISSN 2219-7184; Copyright ICSRS Publication, 2012 www.i-csrs.org Available free online at http://www.geman.in Lacunary Strongly Almost Generalized Convergence with Respect to Orlicz Function Ayhan Esi Adiyaman University, Science and Art Faculty, Department of Mathematics, 02040, Adiyaman, Turkey E-mail: aesi23@hotmail.com, aesi@adiyaman.edu.tr (Received: 24-1-12/Accepted: 28-2-12) Abstract Kizmaz [5] defined the concept of difference sequence spaces. Later some authors introduced and studied some generalizations of this idea. In this paper, we study some properties of [b c, M ]θ (∆m ) -convergence which was defined by Esi [1] . Keywords: Lacunary sequence, difference sequence, Orlicz function, strongly almost convergence. 1 Definitions and Notations Let l∞ , c and c0 be the sequence spaces of bounded, convergent and null sequences x = (xi ) , respectively. A sequence x = (xi ) ∈ l∞ is said to be almost convergent [8] if all Banach limits of x = (xi ) coincide. In [8] ,it was shown that ( ) n X b c = x = (xi ) : lim xi+s exists, uniformly in s . n→∞ i=1 In [9, 10], Maddox defined a sequence x = (xi ) strongly almost convergent to a number L, if n X lim |xi+s − L| = 0, uniformly in s. n→∞ i=1 45 Lacunary Strongly Almost Generalized... By a lacunary sequence θ = (kr ), r = 0, 1, 2, ...,where k0 = 0, we shall mean increasing sequence of non-negative integers hr = kr − kr−1 → ∞ as r → ∞.The intervals determined by θ are denoted by Ir = (kr−1 , kr ] and the kr will be denoted by qr . The space of lacunary strongly convergent ratio kr−1 sequence Nθ was defined by Freedman et al. [3] as follows: ( ) 1 X Nθ = x = (xi ) : lim |xi − L| = 0 for some L . r→∞ hr i∈I r In [5] , Kizmaz defined the sequence spaces Z (∆) = {x = (xi ) : (∆xi ) ∈ Z} for Z = l∞ , c and c0 ,where ∆x = (∆xi ) = (xi − xi−1 ) . After, Et and Colak [2] defined generalized the difference sequence spaces as follows: Z (∆m ) = {x = (xi ) : (∆m xi ) ∈ Z} for Z = l∞ , c and c0 ,where m ∈ N, ∆0 x = xi , ∆x = (xi − xi−1 ) , ∆m xi = (∆m xi ) = (∆m−1 xi − ∆m−1 xi+1 ) and so that m X v m m ∆ xi = (−1) xi+v . v v=0 An Orlicz function is a function M : [0, ∞) → [0, ∞) which is continuous, non-decreasing and convex with M (0) = 0, M (x) > 0 for x > 0 and M (x) → ∞ as x → ∞. An Orlicz function M is said to be satisfy ∆2 −condition for all values of t, if there exists a constant T > 0 such that M (2t) ≤ T M (t) , (t ≥ 0) . Remark 1.The ∆2 −condition is equivalent to the satisfaction of the inequality M (Lt) ≤ T LM (t) for all values of t and for L > 1.This inequality was used in some published articles [12] ,[13] and many others. But this is not true, which is shown by the simplest example such as M (t) = t2 . Then the Orlicz function M satisfies ∆2 −condition with T = 4, but for M (Lt) = L2 t2 > 4Lt2 when L ≥ 5. Remark 2. An Orlicz function M satisfies the inequality M (λt) ≤ λM (t) for all λ with 0 < λ < 1. Lindenstrauss and Tzafriri [7] used the idea of Orlicz functions to construct Orlicz sequence spaces ) ( X |xi | < ∞, for some ρ > 0 . lM = x = (xi ) : M ρ i The sequence space lM with the norm ( kxk = inf ρ>0: X i M |xi | ρ ) ≤1 46 Ayhan Esi becomes a Banach space with is called an Orlicz Sequence Space. The space lM is closely related to the space lp , which is an Orlicz Sequence Space with M (x) = xp for 1 ≤ p < ∞. Let M be an Orlicz function. Göngör and Et [4] defined the following sequence spaces: ( [b c, M ] (∆m ) = m ) P −L| = 0, x = (xi ) : limn→∞ n1 ni=1 M |∆ xi+s ρ , uniformly in s, for some ρ > 0 and L > 0 ( ) m n X 1 |∆ xi+s | [b c, M ]0 (∆m ) = x = (xi ) : lim M = 0, uniformly in s, for some ρ > 0 , n→∞ n ρ i=1 ) ( m n X |∆ x | 1 i+s M < ∞, for some ρ > 0 . [b c, M ]∞ (∆m ) = x = (xi ) : sup ρ n,s n i=1 Let M be an Orlicz function. We defined in [1] new generalized difference sequence spaces as follows: ( [b c, M ]θ (∆m ) = limr→∞ h1r P |∆m xi+s −L| ρ x = (xi ) : = 0, i∈Ir M uniformly in s, for some ρ > 0 and L > 0 ) , ( ) X |∆m xi+s | 1 = 0, uniformly in s, for some ρ > 0 , (∆m ) = x = (xi ) : lim M r→∞ hr ρ i∈Ir ( ) m X 1 |∆ x | i+s [b c, M ]θ∞ (∆m ) = x = (xi ) : sup M < ∞ for some ρ > 0 . ρ r,s hr i∈I [b c, M ]θ0 r If x = (xi ) ∈ [b c, M ]θ (∆m ), we say that x = (xi ) is lacunary strongly almost generalized ∆m −convergence to the number L with respect to Orlicz function M.In this case we write [b c, M ]θ (∆m ) − lim x = L.When M (x) = x, then we write [b c]θ (∆m ) , [b c]θ0 (∆m ) and [b c]θ∞ (∆m ) for the spaces [b c, M ]θ (∆m ) , [b c, M ]θ0 (∆m ) and [b c, M ]θ∞ (∆m ) . The purpose of this paper is to examine some properties of these new sequence spaces as a concept of lacunary almost generalized ∆m −convergence using Orlicz function which also generalize the well known Orlicz sequence space lM , strongly summable sequence spaces [C, 1] , [C, 1]0 and [C, 1]∞ . 47 Lacunary Strongly Almost Generalized... 2 Main Results In this section we prove some results involving the sequence spaces [b c, M ]θ (∆m ) , [b c, M ]θ0 (∆m ) and [b c, M ]θ∞ (∆m ) . Theorem 2.1. The spaces [b c, M ]θ (∆m ) , [b c, M ]θ0 (∆m ) and [b c, M ]θ∞ (∆m ) are linear spaces over the complex field C. Proof. Let x = (xi ) , y = (yi ) ∈ [b c, M ]θ0 (∆m ) and α, β ∈ C . Then there exist positive numbers ρ1 and ρ2 such that m 1 X |∆ xi+s | lim M = 0, uniformly in s r→∞ hr ρ1 i∈I r and m |∆ yi+s | 1 X M lim = 0, uniformly in s. r→∞ hr ρ 2 i∈I r Let ρ3 = max (2 |α| ρ1 , 2 |β| ρ2 ) .Since M is non-decreasing convex function, we have m m m |∆ (αxi+s + βyi+s )| |∆ (αxi+s )| 1 X 1 X |∆ (βyi+s )| M M ≤ + hr i∈I ρ3 hr i∈I ρ3 ρ3 r r m m |∆ xi+s | |∆ yi+s | 1 X 1 X M M ≤ + . hr i∈I ρ1 hr i∈I ρ2 r [b c, M ]θ0 r m (∆ ) . Therefore αx + βy ∈ The proof for other two cases are routine work in view of above proof. Theorem 2.2. For any Orlicz function M , [b c, M ]θ∞ (∆m ) is a semi-normed linear space, semi-normed by ( ) m m X 1 X |∆ xi+s | h∆m (x) = |xi |+inf ρ > 0 : sup M ≤ 1, r = 1, 2, ...s = 1, 2, ... . ρ r,s hr i=1 i∈I r − Proof. Clearly; h∆m(x) = h∆m (−x) , x = 0 implies ∆m xi+s = 0 for all − − − i, s ∈ N and as such M 0 = 0,where 0 = (0, 0, ...).Therefore h∆m 0 =0. Next, let ρ1 and ρ2 be such that m |∆ xi+s | 1 X sup M ≤1 ρ r,s hr 1 i∈I r 48 Ayhan Esi and m 1 X |∆ yi+s | sup M ≤ 1. ρ2 r,s hr i∈I r Let ρ = ρ1 + ρ2 .Then, we have m 1 X |∆ (xi+s + yi+s )| sup M ρ r,s hr i∈I r m m 1 X |∆ xi+s | ρ2 1 X |∆ yi+s | ρ1 sup M + sup M ≤ 1. ≤ ρ1 + ρ2 r,s hr i∈I ρ1 ρ1 + ρ2 r,s hr i∈I ρ2 r r 0 Since the ρ s non-negative, so we have h∆m (x + y) = m X ( |xi + yi |+inf i=1 m 1 X |∆ (xi+s + yi+s )| ρ > 0 : sup M ≤ 1, r = 1, 2, ...s = 1, 2, ρ r,s hr i∈I r ) m |∆ xi+s | 1 X M ≤ 1, r = 1, 2, ...s = 1, 2, ... ≤ |xi |+inf ρ1 > 0 : sup ρ r,s hr 1 i=1 i∈Ir ) ( m m X |∆ yi+s | 1 X M ≤ 1, r = 1, 2, ...s = 1, 2, ... . + |yi |+inf ρ2 > 0 : sup ρ2 r,s hr i=1 i∈I m X ( r So, h∆m (x + y) ≤ h∆m (x) + h∆m (y) . Finally for λ ∈C, without loss of generality λ 6= 0, then ) ( m m X 1 X |∆ λxi+s | ≤ 1, r = 1, 2, ...s = 1, 2, ... h∆m (λx) = |λxi |+inf ρ > 0 : sup M ρ r,s hr i=1 i∈I r = |λ| m X i=1 ( |xi |+inf ) m 1 X |∆ xi+s | ρ |λ| r > 0 : sup M ≤ 1, r = 1, 2, ...s = 1, 2, ... , where r = r λ r,s hr i∈I r = |λ| h∆m (λx) . This completes the proof. Theorem 2.3. If θ = (kr ) be a lacunary sequence with lim inf qr > 1,then [b c, M ] (∆m ) ⊂ [b c, M ]θ (∆m ) 49 Lacunary Strongly Almost Generalized... where ( [b c, M ] (∆m ) = m ) P −L| x = (xi ) : limn→∞ n1 ni=1 M |∆ xi+s = 0, ρ . uniformly in s, for some ρ > 0 and L > 0 Proof. Let lim inf qr > 1. Then there exists δ > 0 such that qr > 1 + δ and hence hr kr−1 1 δ =1− >1− = . kr kr 1+δ 1+δ Therefore, m m m kr 1 X |∆ xi+s | |∆ xi+s | |∆ xi+s | 1 X δ 1 X M M M ≥ ≥ kr i=1 ρ kr i∈I ρ 1 + δ hr i∈I ρ r r and if x = (xi ) ∈ [b c, M ] (∆m ) ,then it follows that x = (xi ) ∈ [b c, M ]θ (∆m ) . Theorem 2.4. If θ = (kr ) be a lacunary sequence with lim sup qr < ∞,then [b c, M ]θ (∆m ) ⊂ [b c, M ] (∆m ) . Proof. Let x = (xi ) ∈ [b c, M ]θ (∆m ) .Then for ε > 0, there exists j0 such that for every j ≥ j0 and for all s ∈ N m 1 X |∆ xi+s | ajs = M <ε hj i∈I ρ j that is, we can find some positive constant T, such that ajs < T (1) for all j and s. Given lim sup qr < ∞ implies that there exists some positive number K such that qr < K (2) for all r ≥ 1. Therefore, for kr−1 < n ≤ kr , we have by (1) and (2) n 1X M n i=1 ≤ r 1 XX kr−1 j=1 i∈Ij M |∆m xi+s − L| ρ ≤ kr 1 X kr−1 i=1 M |∆m xi+s − L| ρ " j # r 0 X X X |∆m xi+s − L| 1 |∆m xi+s − L| = + M ρ kr−1 j=1 j=j +1 i∈I ρ 0 j 1 kr − kj0 ≤ sup aps kj0 + ε kr−1 1≤p≤j0 kr−1 50 Ayhan Esi ≤T kj0 + εK. kr−1 Since kr−1 → ∞ as r → ∞,we get x = (xi ) ∈ [b c, M ] (∆m ) .This completes the proof. Theorem 2.5. Let θ = (kr ) be a lacunary sequence with 1¡lim inf qr ≤ lim sup qr < ∞, then [b c, M ]θ (∆m ) = [b c, M ] (∆m ) . Proof. It follows from Theorem 2.3. and Theorem 2.4.. Theorem 2.6. Let x = (xi ) ∈ [b c, M ] (∆m ) ∩ [b c, M ]θ (∆m ) . Then [b c, M ]θ (∆m ) − lim x = [b c, M ] (∆m ) − lim x and [b c, M ]θ (∆m ) − lim x is unique for any lacunary sequence θ = (kr ) . Proof. Let x = (xi ) ∈ [b c, M ] (∆m ) ∩ [b c, M ]θ (∆m ) and [b c, M ]θ (∆m ) − lim x = Lo , [b c, M ] (∆m ) − lim x = L.Suppose that L 6= L0 .We can see that m m |∆ xi+s − L| |∆ xi+s − Lo | 1 X 1 X |L − Lo | M M ≤ + M ρ hr i∈I ρ hr i∈I ρ r r ≤ lim sup r s 1 X M hr i∈I |∆m xi+s − L| ρ + 0. r Hence, there exists ro , such that for r > ro m 1 X |∆ xi+s − L| 1 |L − Lo | M > M . hr i∈I ρ 2 ρ r Since [b c, M ] (∆m ) − lim x = L, it follows that hr |L − Lo | |L − Lo | M ≥ lim inf M ≥0 0 ≥ lim sup r kr ρ ρ r and so limr qr = 1. Hence by Theorem 2.2., [b c, M ]θ (∆m ) ⊂ [b c, M ] (∆m ) and θ m m [b c, M ] (∆ ) − lim x = Lo = [b c, M ] (∆ ) − lim x = L. 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