Infinite Matrices and Almost Convergence

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Filomat 29:6 (205), 83 88 DOI 0.2298/FIL50683G Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Infinite Matrices and Almost Convergence Ab. Hamid Ganie a,b, Neyaz Ahmad Sheih a a Department of mathematics, National Institute of Technology Srinagar, 90006, India b Department of mathematics, S.S. M College of Engineering and Technology Pattan -932, J and K. Abstract. In the present paper, we characterize ( r q (u, p) : f ), ( r q (u, p) : f ) and ( r q (u, p) : f 0 ) ; where f, f and f 0 denotes, respectively, the spaces of almost bounded sequences, almost convergent sequences and almost sequences converging to zero, where the space r q (u, p) of non-absolute type have recently been introduced by Neyaz and Hamid (see, [3]).. Introduction, Bacground and Notation Let ω denote the space of all sequences(real or complex). The family under pointwise addition and scalar multiplication forms a linear(vector)space over real of complex numbers. Any subspace of ω is called the sequence space. So the sequence space is the set of scalar sequences(real of complex) which is closed under co-ordinate wise addition and scalar multiplication. Throughout paper N, R and C denotes the set of non-negative integers, the set of real numbers and the set of complex numbers, respectively. Let X and Y be two sequence spaces and let A = (a n ) be an infinite matrix of real or complex numbers a n, where n, N. Then, the matrix A defines the A-transformation from X into Y, if for every sequence x = (x ) X the sequence Ax = {(Ax) n }, the A-transform of x exists and is in Y; where (Ax) n = a n x. For simplicity in notation, here and in what follows, the summation without limits runs from 0 to. By A (X : Y) we mean the characterizations of matrices from X to Y i.e., A : X Y. A sequence x is said to be A-summable to l if Ax converges to l which is called as the A-limit of x. For a sequence space X, the matrix domain X A of an infinite matrix A is defined as X A = {x = (x ) ω : Ax X}. () Let l and c be Banach spaces of bounded and convergent sequences x = {x n } with supremum norm n=0 x = sup x n. Let T denote the shift operator on ω, that is, Tx = {x n } n=, T2 x = {x n } and so on. A Banach n=2 n limit L is defined on l as a non-negative linear functional such that L is invariant i.e., L(Sx) = L(x) and 200 Mathematics Subject Classification. Primary 40A05, 46A45; Secondary 46C05 Keywords. Sequence space of non-absolute type, almost convergence, β-duals and matrix transformations Received: 23 November 203; Accepted: 04 April 204 Communicated by Dragan S. Djordjević Corresponding author: Ab. Hamid Ganie Email addresses: ashamidg@rediffmail.com (Ab. Hamid Ganie), neyaznit@yahoo.co.in (Neyaz Ahmad Sheih)

L(e) =, e = (,,,...) (see, [2]). A. H. Ganie, N. A. Sheih / Filomat 29:6 (205), 83 88 84 Lorentz (see, [7]), called a sequence {x n } almost convergent if all Banach limits of x, L(x), are same and this unique Banach limit is called F-limit of x. In his paper, Lorentz proved the following criterion for almost convergent sequences. A sequence x = {x n } l is almost convergent with F-limit L(x) if and only if where, t mn (x) = m m lim t mn(x) = L(x) m T j x n, (T 0 = 0) uniformly in n 0. We denote the set of almost convergent sequences by f. Nanda (see, []) has defined a new set of sequences f as follows: { } f = x l : sup t mn (x) < mn We call f as the set of all almost bounded sequences. A infinite matrix A = (a n ) is said to be regular (see, []) if and only if the following conditions (or Toeplitz conditions) hold:. (i) lim n a n =, =0 (ii) lim n a n = 0, ( = 0,, 2,...), (iii) a n < M, (M > 0, j = 0,, 2,...). =0 Let (q ) be a sequence of positive numbers and let us write, Q n = n q for n N. Then the matrix R q = (r q n ) of the Riesz mean (R, q n) is given by =0 r q n = q Q n, if 0 n, 0, if > n. The Riesz mean (R, q n ) is regular if and only if Q n as n (see, [, ]). Following [-3, 6-8, 2-4], the sequence space r q (u, p) is defined as p r q (u, p) = x = (x ) ω : u j q j x j Q <, (0 < p H = sup p < )

A. H. Ganie, N. A. Sheih / Filomat 29:6 (205), 83 88 85 where, u = (u ) is a sequence such that u 0 for all N. With the notation of (), we may re-define r q (u, p) as follows: r q (u, p) = {l(p)} R q u. Define the sequence y = (y ), which will be used, by the R q u-transform of a sequence x = (x ), i.e., y = Q u j q j x j. (2) We denote by X β for all y = (y ) X. the β dual of X and mean the set of all sequences x = (x ) such that xy = (x y ) cs 2. Main Results We first state some lemmas which are needed in proving the main results. Lemma 2. [3]. Define the sets D (u, p) and D 2 (u, p) as follows, D (u, p) = { a = (a ) ω : sup ) p Q u q ( a < and sup a } Q < u q p and D 2 (u, p) = a = (a ) ω : ( a u q ) Q C p < and ( a u q Q C ) p l. Then, [ r q (u, p) ]β = D (u, p); (0 < p ) and [ r q (u, p) ]β = D 2 (u, p); ( < p H < ). Lemma 2.2 [3]. r q (u, p) is a complete linear metric space paranormed by where (x) = Q p u j q j x j M with 0 < p H <, M = max{, H}. Lemma 2.3 [3]. The Riesz sequence space r q (u, p) of non-absolute type is linearly isomorphic to the space l(p), where 0 < p H <. Lemma 2.4 [7]. f f. For simplicity in notation, we shall write t mn (Ax) = m + m A n+j (x) = a(n,, m)x

A. H. Ganie, N. A. Sheih / Filomat 29:6 (205), 83 88 86 where, Also, where, a(n,, m) = m + m a n+j, ; (n,, m N). [ ] a(n,, m) â(n,, m) = u q [ ] a(n,, m) Q = u q Q [ a(n,, m) u q ] a(n, +, m) Q. u + q + Theorem 2.5.(i) Let < p H < for every N. Then A ( r q (u, p) : f ) if and only if there exists an integer C > such that sup n,m N â(n,, m)c p <, (3) ( an Q C u q ) p l f or all n N. (4) (ii) Let 0 p for every N. Then A ( r q ) (u, p) : f if and only if sup â(n,, m) p <. (5) n,,m N Proof. Since f = l, so the proof follows from [Th. 3., 3]. Theorem 2.6. Let < p H < for every N. Then A ( r q (u, p) : f ) if and only if (3), (4), (5) holds of Theorem 2.5 and there is a sequence of scalars (β ) such that lim â(n,, m) = β, uniformly in n N. (6) m Proof: Sufficiency. Suppose that the conditions (3), (4), (5) and (6) hold and x r q (u, p). Then Ax exists and we have by (6) that a(n,, m)c p β C p as m, uniformly in n and for each N, which leads us with (3) to the inequality β j C p j = lim m â(n, j, m)c p (uniformly in n)

A. H. Ganie, N. A. Sheih / Filomat 29:6 (205), 83 88 87 sup n,m N â(n, j, m)c p <, (7) holding for every N. Since x r q (u, p) by hypothesis and r q (u, p) lp ( by Lemma 2.3 above), we have y l(p). Therefore, it follows from (7) that the series β y and â(n,, m)y converges for each m, n and ( ) y l(p). Now, for a given ɛ > 0, choose a fixed 0 N such that y p p < ɛ. Then, there is some = 0 + m 0 N such that 0 [â(n, ], m) β < ɛ for every m m 0, uniformly in n. Since (6) holds, it follows that =0 [â(n, ], m) β is arbitrary small. Therefore, lim a(n,, m)x = lim â(n,, m)y = β y uniformly 0 + m m in n. Hence, Ax f, this proves sufficiency. Necessity. Suppose that A ( r q (u, p) : f ). Then, since f f (by Lemma 2.4 above), the necessities of (3) and (4) are immediately obtained from Theorem 2.3 (above). To prove the necessity of (6), consider the sequence ( ) n Q u n q n, if n +, b n(q) = 0, if 0 n < or n > +. Since Ax exists and is in f for each x r q (u, p), one can easily see that Ab () (q) = { ( a n u q ) Q }n N f for all N, which proves the necessity of (6). This concludes the proof. Theorem 2.7. Let < p H < for every N. Then A ( r q (u, p) : f 0 ) if and only if (3), (4), (5) and (6) holds with β 0 for each N. Proof. The proof follows from above Theorem 2.6 by taing β 0 for each N. Corollary 2.8. By taing u = for all N, we get results obtained by Jalal and Ganie [5]. Acnowledgement. We are very thanful to the refree(s) for the careful reading, valuable suggestions which improved the presentation of the paper. References [] B. Altay and F. Başar, On the paranormed Riesz sequence space of nonabsolute type, Southeast Asian Bulletin of Mathematics 26(2002) 70 75. [2] S. Banach, Theöries des operations linéaries, Warszawa 932. [3] C. Caan, B. Altay and M. Mursaleen, The σ-convergence and σ-core of double sequences, Applied Mathematics Letters 9(2006) 22 28. [4] S. A. Gupari, Some new sequence space and almost convergence, Filomat 22(2)(2008) 59 64. [5] T. Jalal and A. H. Ganie, Almost Convergence and some matrix transformation, Shehar( New Series)- International Journal of Mathematics () (2009) 33 38. [6] K. Kayaduman and M. Sengnl, The spaces of Cesáro almost convergent sequences and core theorems, Acta Mathematica Scientia 32 B(6)(202) 2265 2278. [7] G. G. Lorentz, A contribution to the theory of divergent series, Acta Mathematica (80)(948) 67 90.

A. H. Ganie, N. A. Sheih / Filomat 29:6 (205), 83 88 88 [8] M. Mursaleen, A. M. Jarrah and S. A. Mohiuddine, Almost convergence through the generalized de la Vallee-Pousin mean, Iranian Journal of Science and Technology Transaction A-science 33(2009) 69 77. [9] M. Mursaleen and S.A. Mohiuddine, Double σ-multiplicative matrices, Journal of Mathematical Analysis and Applications 327(2007) 99 996. [0] M. Mursaleen and E. Savas, Almost regular matrices for double sequences, Studia Scientiarum Mathematicarum Hungarica 40(2003) 205 22. [] S. Nanda, Matrix transformations and almost boundedness, Glasni Matematici 4(34) (979) 99 07. [2] G. M. Petersen, Regular matrix transformations. McGraw-Hill Publishing Co. Ltd., London-New Yor-Toronto 966. [3] N. A. Sheih and A. H. Ganie, A new paranormed sequence space and some matrix transformations, Acta Mathematica Academiae Paedagogicae Nyiregyhaziensis 28()(202) 47 58. [4] N. A. Sheih and A. H. Ganie, A new type of sequence space of non-absolute type and matrix transformation, WSEAS Transaction Journal of Mathematics 8(2) (August-203) 852 589. [5] N. A. Sheih and A. H. Ganie, On the spaces of λ-convergent sequences and almost convergence, Thai Journal of Mathematics (2)(203) 393 398.

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