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813–821 DOI: 10.18514/MMN.2018.2495 CHARACTERIZATION OF SOME MATRIX CLASSES INVOLVING SOME SETS WITH SPEED S

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Vol. 19 (2018), No. 2, pp. 813–821 DOI: 10.18514/MMN.2018.2495

CHARACTERIZATION OF SOME MATRIX CLASSES INVOLVING SOME SETS WITH SPEED

S. DAS AND H. DUTTA Received 11 January, 2018

Abstract. The paper introduces the notions of boundedness and convergence with speed for dif- ference sequences, and characterizes certain matrix classes associating the sets of such classes of sequences involving the operatorand two speedsD.k/andD.k/ .0 < k% 1; 0 <

k% 1/. The results obtained in this paper should easily extendible to difference sequences of higher orders, and even, in combination with multipliers.

2010Mathematics Subject Classification: 46A35, 46A45, 40A05, 40C05

Keywords: Matrix classes, boundedness with speed, convergent with speed,-boundedness,- convergent

1. INTRODUCTION

While studying the convergent process, it is important to know the speed of con- vergence of this process. For example, in the theory of approximation, and using numerical methods for solving differential and integral equations, several methods have been worked out for estimating the speed of convergence.

Let, as usual, m, c,c0be respectively the spaces of all bounded sequences, of all convergent sequences, of all sequences converging to 0. Throughout this paper in- dices and summation indices run from 0 to1unless otherwise specified.

LetX; Y be two sequence spaces andAD.ank/be an infinite matrix with real and complex entries. If for eachxD.k/2X the series

.Ax/nDX

k

ankk

converges and the sequenceAxD f.Ax/ngbelongs toY, we say that the matrixA transformsX intoY. By.X; Y /, we denote the set of all matrices which transform

The first author is supported DST-INSPIRE Fellowship, Ministry of Science and Technology, Gov- ernment of India, Grant No. IF170072.

c 2018 Miskolc University Press

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X intoY.

A matrixAis said to be regular ifA2.c; c/and limn.Ax/nDlimkk , for each xD.k/2c;or in short, we writeA2.c; cIP /, whereP denotes the preservation of limit.

Following Kangro ([5], [6], [7]) (also see [2]), a convergent sequence xD.k/ with

limk kD andvkDk.k / (1.1)

is called bounded with speed(shortly,-bounded) ifvk=O(1) and convergent with speed(shortly,-convergent) if the limit limkvk exists and is finite.

The set of all-bounded sequences is denoted bym, and the set of all-convergent sequences byc. It is not difficult to see thatcmc. In addition to it, for an unbounded sequencethis inclusion is strict. Fork=O(1), we getcDmDc.

The necessary and sufficient conditions forA2.m; m/,A2.c; c/, andA2 .c; m/, were first introduced by Kangro ([5], [6], [7]). The estimation and the comparison of speeds of convergence of series and sequences, based on Kangro’s concepts of convergence, boundedness, and summability with speed, have also been studied by ˇSeletski and Tali ([9], [10]), Stadtm¨uller and Tali ([11]), and Tammeraid ([12], [13], [14],[15]). For more results on matrix transforms ofmandc, one can refer to ([5], [7], [8]). An improvement of the -convergence has been studied in ([1]).

In this paper, we shall use the notationxfor the sequence of forward differences:

xkDxk xkC1; k2N:

A sequencexD.k/is called-convergent if the limit limkk exists and is finite.

A-convergent sequencexD.k) with

limk kD& andvkDk.k & / (1.2) is called-bounded with speed(shorty,-- bounded) ifvk=O(1) and-convergent with speed(shortly,--convergent) if the limit limkvkexists and is finite.

By m and c, we denote the sets of all -bounded sequences and of all - convergent sequences respectively.

The set of all--bounded sequences is denoted bymand the set of all-- convergent sequences byc. It is not difficult to see thatc mc. In addition to it, for an unbounded sequence this inclusion is strict. For k= O(1), we get

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c DmDc.

It is easy to see that every convergent sequence is-convergent, but the converse may not be true. For this, let us consider the following example

LetxD.k/D(). Thenk =k kC1= 1. Thus.k/is divergent but- convergent.

2. CHARACTERIZATION OF THE MATRIX CLASSES

We begin this section with few known results that will be required to proof the main results of this paper. LeteD(1, 1, . . . ),ekD(0, . . . , 0, 1, 0, . . . ), where 1 is in the.kC1/t h- position, and 1=.1

k/.

Theorem 1([3], [4], Silverman-Toeplitz). AD.ank/is regular, i.e.,A2.c; cIP /, if and only if

sup

n0

X

k

jankj<1I (2.1)

limn ankkI (2.2)

and

limn

X

k

ank Dı (2.3)

withık0 andı1.

Theorem 2([3], [4]). LetAD.ank/be a matrix method. ThenA2.c; c/if and only if (2.1) holds and the finite limitsıkandıexist.

Theorem 3([3], [4]). A methodAD.ank/2.c0; c/if and only if conditions (2.1) and (2.2) hold.

Theorem 4 ([3], [4]). Let AD.ank/ be a matrix method. ThenA2.m; m/ = .c; m/=.c0; m/if and only if condition (2.1) holds.

Theorem 5([3], [4]). A methodAD.ank/2.m; c/if and only if conditions (2.1) and (2.2) are satisfied andlimnP

kjank ıkj D0:

In this case

limn .Ax/nDX

k

ıkk; for everyxD.k/2m.

Theorem 6. A methodAD.ank/2.m; m/if and only if

limn ank=k; (2.4)

Ae2m; (2.5)

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X

k

jankj

k DO.1/; (2.6)

n

X

k

jank ık=j

k DO.1/: (2.7)

IfnDO.1/andn¤O.1/, then in (2.7), it is necessary to replaceO.1/byo.1/.

Proof. Necessity: Suppose thatAD.ank/2.m; m/. It is obvious thatek; e2 m:Hence conditions (2.4) and (2.5) are fulfilled.

LetxD.k/2m, then from (1.1) we have kDvkk Cwhere limkkD,vkDO.1/

it follows that

.Ax/nDX

k

ank

k vkCX

k

ank

and

.Ax/nD.Ax/n .Ax/nC1

DX

k

ank

k vkCX

k

ank

X

k

a.nC1/k

k vk X

k

a.nC1/k

DX

k

.ank a.nC1/k/

k vkCX

k

.ank a.nC1/k/

DX

k

ank

k vkCX

k

ank:

(2.8)

As.P

kank/2m, by (2.5), then from (2.8) we can assert that the method AD.ank

k /transforms the bounded sequence.vk/intoc:

Now we assume that n¤O(1). Then for every sequence .vk/2m, the sequence .vk

k/ 2c0. But for .vk

k/, there exists a convergent sequence x D.k/ such that limkk D and vk

k D(k ). Thus, for every sequence .vk/2m, there exists a sequence.k/2msuch thatvk=k.k /. HenceA2.m; c/. This implies by Theorem5, the condition (2.6) holds,

limn

X

k

jank ı=kj

D0 (2.9)

and=Dlimn.Ax/nDP

k ık=

vkClimnP

kank:

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Ifn¤O(1), then writing n..Ax/n =/D

Dn

X

k

ank ık=

k vkCn.X

k

ank lim

n

X

k

ank/: (2.10)

By (2.5) we can conclude that the method

A; D.n

ank ık=

k /2.m; m/:

This implies by Theorem4, condition (2.7) is fulfilled.

IfnDO(1), then in (2.7) it is necessary to replaceO(1) byo(1); which is similar to (2.9).

If n DO(1), then the proof is similar to the case n ¤O(1), but in this case vk Do.1/, and instead of the Theorem5, it is necessary to use the Theorem3.

Sufficiency: Conversely assume that the conditions (2.4)-(2.7) are valid. Also, for everyxD.k/2m, the relation (2.8) holds and by (2.5),.P

kank/2m. If n¤O(1) andnDO(1), then using Theorem5, we can conclude that the method A2.m; c/ by (2.4), (2.6) and (2.9) (in this case, we have (2.9) instead of (2.7)).

ThusA2.m; c/.

If n¤O(1) and n¤O(1), then validity of (2.9) follows from the validity of (2.7). In this case also A2.m; c/ by (2.4), (2.6) and (2.9), that isA2.m; c/:

Therefore, we can assert that the limit=exists and is finite and therefore relation (2.10) is fulfilled for everyxD.k/2m. Hence by (2.7) and using Theorem4, we haveA; 2.m; m/and by (2.5), we haveA2.m; m/. FornDO(1), the proof

is obvious.

Theorem 7. A method AD.ank/2.c; c/if and only if conditions (2.6) and (2.7) are fulfilled and

Aek 2c; (2.11)

Ae2c; (2.12)

A 12c: (2.13)

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IfA2.c; c/;then

limn n..Ax/n =/DX

k

ak;.vk v/Clim

n n.X

k

ank ı=/

Clim

n n.X

k

ank k

a/v;

(2.14)

where

=Dlim

n .Ax/n; vDlim

k vk

and

ı=Dlim

n

X

k

ank; ık= Dlim

n ank; aDlim

n

X

k

ank

k ; ak; Dlim

n n

ank ık= k

Proof. Necessity: Suppose thatA2.c; c/. It is not difficult to see thatek, e, 12cand so the conditions (2.11)-(2.13) hold. For everyxD.k/2c,the equal- ity (2.8) is satisfied and by (2.12) the limitı=exists, so the methodAtransforms the convergent sequence.vk/intoc. Similar to the proof of necessary part of Theorem 6, it can be easily shown that, for every sequence.vk/2c, there exists a sequence xD.k/2c such that vk =k(k ). Hence A2.c; c/. This means that the finite limitsık= anda exist and condition (2.6) is fulfilled by virtue of Theorem 2.

Using relation (2.8), for everyx2c, we can write =Dlim

n .Ax/nDavCX

k

ı=k k

.vk v/Cı=; (2.15) whereDlimkkandvDlimkvk:

Now using relations (2.8) and (2.15), we get n..Ax/n =/Dn

X

k

ank ı=k k

.vk v/Cn.X

k

ank ı=/

Cn.X

k

ank

k a/v:

(2.16)

Asn! 1;the finite limits for the last two summands in the right hand side of (2.16) exist by conditions (2.12) and (2.13).This implies that the method A; 2.c0,c).

Thus using Theorem3, the condition (2.7) is satisfied. Lastly, relation (2.14) holds from (2.16).

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Sufficiency: Suppose that (2.6)-(2.7) and (2.11)-(2.13) are fulfilled. We observe that the relation (2.16) holds for everyxD.k/2cand also the finite limitsık=; ı=; a exist by (2.11), (2.12) and (2.13) respectively. Since (2.6) also holds, soA2.c; c/

by Theorem2and therefore for everyx2c;relations (2.15) and (2.16) hold. Now by conditions (2.12) and (2.13), the finite limits for the last two summands in the right side of (2.16) exist asn! 1. Finally using conditions (2.7), (2.11) and Theorem3 we can conclude that the methodA;2.c0,c). Hence,A2.c; c/.

It is easy to see that conditions (2.4) and (2.6) imply the condition X

k

k=j

k <1 (2.17)

Also conditions (2.7) and (2.17) imply condition (2.6). Therefore, from Theorem6 and Theorem7, we get the following corollary:

Corollary 1. The condition (2.6) in Theorem6and Theorem7can be replaced by the condition (2.17).

Using Theorem6and Corollary1, we get the following corollary:

Corollary 2. A methodAD.ank/2.m; c/if and only if the conditions (2.4), (2.6) and (2.9) are fulfilled and the finite limitlimnP

kank= exists. Also the condition (2.6) can be replaced by the condition (2.17).

Theorem 8. A methodAD.ank/2.c; m/if and only if the conditions (2.4)- (2.7) are satisfied.

Also ifn=O.1/andn¤O.1/, then in (2.7), it is necessary to replaceO.1/by o.1/.

Proof. Necessary Part: Suppose that AD.ank/2 .c; m/. It is easy to see thatek; e2c: Hence conditions (2.4) and (2.5) are valid. As equality (2.8) holds for everyx D.k/2c, and .P

kank/2m by (2.5), then the method A trans- forms the convergent sequence.vk/intoc:Similar to the proof of necessary part of Theorem 6, it can be easily shown that for every sequence .vk/2c, there exists a sequencexD.k/2csuch thatvk =k(k ). HenceA2.c; c/. This implies by Theorem2, the condition (2.6) is satisfied.

Using condition (2.8), for everyxD.k/2c, we can write =Dlim

n .Ax/nDX

k

ı=k

vkClim

n

X

k

ank:

Ifn¤O(1), then from relation (2.10) and using condition (2.5) we can assert that the method

A;2.c; m/:

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Therefore using Theorem4, condition (2.7) is fulfilled.

FornDO(1), then in (2.7) it is necessary to replaceO(1) byo(1); which is equi- valent to (2.9).

If n DO(1), then the proof is similar to the case n ¤O(1), but in this case .vk/2c0, and instead of the Theorem2, it is necessary to use the Theorem3.

Sufficient Part: It is obvious from the Theorem6.

REFERENCES

[1] A. Aasma, “Convergence acceleration and improvement by regular matrices. In: Dutta, H. and Rhoades, B.E. (eds.) Current Topics in Summability Theory and Applications.”Springer, Singa- pore, vol. 1, pp. 141–180, 2016, doi:10.1007/978-981-10-0913-6 4.

[2] A. Aasma, H. Dutta, and P. Natarajan,An introductory course in summability theory. New York:

Wiley, 2017. doi:10.1002/9781119397786.

[3] J. Boos,Classical and modern methods in summability. Oxford: Oxford University Press, 2000.

[4] G. Hardy,Divergent Series. Oxford: Oxford University Press, 1949.

[5] G. Kangro, “O mnoˇzitelyah summirujemosti tipa Bora-Hardy dlya zadannoi ckorosti I (On the summability factors of the Bohr-Hardy type for a given speed I).”Eesti NSV Tead. Akad. Toimet- ised F¨u¨us.-Mat., vol. 18, no. 2, pp. 137–146, 1969.

[6] G. Kangro, “O mnoˇzitelyah summirujemosti tipa Bora-Hardy dlya zadannoi ckorosti II (On the summability factors of the Bohr-Hardy type for a given speed II).”Eesti NSV Tead. Akad. Toimet- ised F¨u¨us.-Mat., vol. 18, no. 4, pp. 387–395, 1969.

[7] G. Kangro, “Mnoˇziteli summirujemosti dlya ryadov,-ogranitˇsenn˜oh metodami Rica i Cezaro (Summability factors for the series-bounded by the methods of Riesz and Ces`aro).”Tartu Riikl.

UI. Toimetised, vol. 277, pp. 136–154, 1971.¨

[8] T. Leiger, Funktsionaalanal¨u¨usi meetodid summeeruvusteooroias (Methods of functional analysis in summability theory). Tartu: Tartu ¨Ulikool, 1992.

[9] A. ˇSeletski and A. Tali, “Comparison of speeds of convergence in Riesz-Type families of summab- ility methods.”Proc. Est. Acad. Sci., vol. 57, no. 1, pp. 70–80, 2008, doi:10.3176/proc.2008.2.02.

[10] A. ˇSeletski and A. Tali, “Comparison of speeds of convergence in Riesz-Type families of sum- mability methods II.”Math. Model. Anal., vol. 15, no. 1, pp. 103–112, 2011, doi:10.3846/1392- 6292.2010.15.103-112.

[11] U. Stadtm¨uller and A. Tali, “Comparison of certain summability methods by speeds of conver- gence.”Anal. Math., vol. 29, no. 3, pp. 227–242, 2003, doi:10.1023/A:1025419305735.

[12] I. Tammeraid, “Convergence acceleration and linear methods.”Math. Model. Anal., vol. 8, no. 1, pp. 87–92, 2003, doi:10.1080/13926292.2003.9637213.

[13] I. Tammeraid, “Generalized linear methods and convergence acceleration.”Math. Model. Anal., vol. 8, no. 4, pp. 329–335, 2003, doi:10.1080/13926292.2003.9637234.

[14] I. Tammeraid, “Several remarks on acceleration of convergence using generalized linear methods of summability.”J. Comput. Appl. Math., vol. 159, no. 2, pp. 365–373, 2003, doi:10.1016/S0377- 0427(03)00539-9.

[15] I. Tammeraid, “Generalized Riesz method and convergence acceleration.”Math. Model. Anal., vol. 9, no. 4, pp. 341–348, 2004, doi:10.1080/13926292.2004.9637264.

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Authors’ addresses

S. Das

Gauhati University, Mathematics Department, Guwahati, 781014, India E-mail address:dshilpa766@gmail.com

H. Dutta

Gauhati University, Mathematics Department, Guwahati, 781014, India E-mail address:hemen dutta08@rediffmail.com

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