ArticlePDF Available

Strong μ‐faster convergence and strong μ‐acceleration of convergence by regular matrices

Authors:

Abstract

The present paper continues the study of acceleration of convergence started in the paper [A. Aasma, Proc. Estonian Acad. Sci. Phys. Math., 2006, 55, 4, 195–209]. The new, non‐classical convergence acceleration concept, called strong μ‐acceleration of convergence (μ is a positive monotonically increasing sequence), is introduced. It is shown that this concept allows to compare the speeds of convergence for a larger set of sequences than the classical convergence acceleration concept. Regular matrix methods are used to accelerate the convergence of sequences. First Published Online: 14 Oct 2010
This article was downloaded by: [117.174.227.186]
On: 21 March 2014, At: 00:56
Publisher: Taylor & Francis
Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House,
37-41 Mortimer Street, London W1T 3JH, UK
Mathematical Modelling and Analysis
Publication details, including instructions for authors and subscription information:
http://www.tandfonline.com/loi/tmma20
Strong µfaster convergence and strong µacceleration
of convergence by regular matrices
A. Aasma a
a Department of Economics , Tallinn University of Technology , Kopli 101, Tallinn, 11712,
Estonia E-mail:
Published online: 14 Oct 2010.
To cite this article: A. Aasma (2008) Strong µfaster convergence and strong µacceleration of convergence by regular
matrices, Mathematical Modelling and Analysis, 13:1, 1-6, DOI: 10.3846/1392-6292.2008.13.1-6
To link to this article: http://dx.doi.org/10.3846/1392-6292.2008.13.1-6
PLEASE SCROLL DOWN FOR ARTICLE
Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained
in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no
representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the
Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and
are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and
should be independently verified with primary sources of information. Taylor and Francis shall not be liable for
any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever
or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of
the Content.
This article may be used for research, teaching, and private study purposes. Any substantial or systematic
reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any
form to anyone is expressly forbidden. Terms & Conditions of access and use can be found at http://
www.tandfonline.com/page/terms-and-conditions
Mathematical Modelling and Analysis
Volume 13 Number 1, 2008, pages 1–6
c
2008 Technika ISSN 1392-6292 print, ISSN 1648-3510 online
STRONG µ-FASTER CONVERGENCE AND
STRONG µ-ACCELERATION OF
CONVERGENCE BY REGULAR MATRICES
A. AASMA
Tallinn University of Technology, Department of Economics
Kopli 101, 11712, Tallinn, Estonia
E-mail: aasma@tv.ttu.ee
Received September 15, 2007; revised October 21, 2007; published online February 15, 2008
Abstract. The present paper continues the study of acceleration of convergence
started in the paper [A. Aasma, Proc. Estonian Acad. Sci. Phys. Math., 2006, 55,
4, 195-209]. The new, non-classical convergence acceleration concept, called strong
µ-acceleration of convergence (µis a positive monotonically increasing sequence), is
introduced. It is shown that this concept allows to compare the speeds of convergence
for a larger set of sequences than the classical convergence acceleration concept.
Regular matrix methods are used to accelerate the convergence of sequences.
Key words: Convergence acceleration, matrix methods, speed of convergence.
1 Introduction
The present paper continues the study of acceleration of convergence of real
or complex sequences started in [1]. Therefore all the notions not defined in
this paper can be found in [1]. Throughout the paper we assume that indices
and summation indices are integers, changing from 0to , if not specified
otherwise.
Classically the convergence acceleration is defined as follows (cf. [5,6]).
Definition 1. Let x= (xk)and y= (yk)be convergent sequences with limits
ςand ξ, respectively. If
lim n
|ynξ|
|xnς|= 0,(1.1)
then it is said that yconverges faster than x.
Definition 2. The sequence transformation T:xyis said to accelerate
the convergence of the sequence xif yconverges faster than x.
Downloaded by [117.174.227.186] at 00:56 21 March 2014
2A. Aasma
Some methods, alternative to the classical concept of estimation and com-
parison of speeds of convergence of sequences, are used in [3,4]. In [1] another
alternative method is proposed, where the concept, called µ-faster convergence
(µis a positive monotonically increasing sequence) is introduced. It is shown
that this concept allows the comparison of speeds of convergence for a larger
set of sequences than the classical concept and this comparison is more precise.
Let A= (ank)be a matrix with real or complex entries. A sequence
x= (xk)is said to be A-summable if the sequence Ax= (Anx)is convergent,
where
Anx=X
k
ankxk.
We denote the set of all A-summable sequences by cA. Thus, a matrix A
determines the summability method on cA, which we also denote by A.
A method Ais said to be regular if for each x= (xn)c, where cis the
set of all convergent sequences, the equality limnAnx= limnxnholds. The
convergence acceleration and µ-acceleration of convergence by regular matrix
methods were studied correspondingly in [3,4,5,6,7] and [1].
In the present paper the concept of strong µ-faster convergence is defined
and compared with the usual faster convergence concept, determined by Def-
initions 1and 2. It is shown here that the new concept allows the comparison
of speeds of convergence for a larger set of sequences than the classical concept
and this comparison is more precise. It is also proved that if for a sequence
x= (xn)with the limit ςthe sequence of absolute differences (|xnς|)is
monotonically decreasing, then the strong µ-faster convergence of a sequence
ywith respect to xcoincides with the usual faster convergence of ywith respect
to x. Also the concept of strong µ-acceleration of convergence by a regular
matrix method is defined and it’s properties are studied.
2 Main Results
Let ϕbe a set of sequences such that
ϕ={x= (xk)|xk= const,if k > k0}
for some k00. For every sequence xc\ϕwe denote
µx={µ= (µn)|0< µnր ∞, ln=µn|xnlim nxn|=O(1), ln6=o(1) }.
Let us remind some notions from [1]. The sequence µis called a speed of
convergence of x. A sequence µ= (µ
n)µxis called the limit speed of
convergence of xif for all µ= (µn)µxthe relation µn
n=O(1) holds.
The limit speed of convergence µ= (µ
n)of a sequence yis said to be higher
than the limit speed of convergence λ= (λ
n)of a sequence xif the ratio
λ
n
nis upper-bounded, but not lower-bounded. It is said that a sequence y
converges µ-faster than xif the limit speed of convergence of yis higher than
the limit speed of convergence of xor yϕand xdoes not belong to ϕ.
Now we introduce the concept of strong µ-faster convergence.
Downloaded by [117.174.227.186] at 00:56 21 March 2014
Strong µ-Faster Convergence and Strong µ-Acceleration of Convergence 3
Definition 3. Let λ= (λ
n)and µ= (µ
n)be correspondingly the limit
speeds of convergence of convergent sequences xand y. We say that yconverges
strongly µ-faster than x, if λ
n
n0or yϕand xdoes not belong to ϕ.
Remark 1. It is easy to see that if yconverges strongly µ-faster than x, then
yconverges also µ-faster than x, but not vice versa. If y= (yn)converges
strongly µ-faster than x= (xn), then λ
n|ynξ|=o(1), where λ= (λ
n)is
the limit speed of xand ξis the limit of y. But for the case, if yconverges only
µ-faster, but not strongly µ-faster than x, there exists a subsequence (ykn)of
yso that λ
n|yknξ| 6=o(1).
It was proved in [1] that if a sequence y= (yn)cconverges faster than
x= (xn)c\ϕ, then yconverges also µ-faster than x. We prove that the
similar property holds for the concept of strong µ-faster convergence.
Theorem 1. If a sequence y= (yn)cconverges faster than x= (xn)c\ϕ,
then yconverges also strongly µ-faster than x.
Proof For yϕthe assertion of Theorem 1is clearly true. Thus, suppose
that yc\ϕconverges faster than xc\ϕ, i.e. relation (1.1) holds, and
show that then yconverges also strongly µ-faster than x. By Corollary 2.1
of [1] there exists the limit speed of convergence λ= (λ
n)λxof x. Using
relation (1.1) we have now
lim n
λ
n|ynξ|
λ
n|xnς|= 0.
Consequently, by Proposition 2.1 from [1] there exists ϑ= (ϑn),0< ϑnր ∞,
such that
ϑn
λ
n|ynξ|
λ
n|xnς|=O(1).
Denoting ϑnλ
n=µn, we get from the last relation that µn|ynξ|=O(1)
with 0< µnր ∞ and µn
n→ ∞. Consequently for the limit speed of
convergence µ= (µ
n)of ywe have µ
n
n→ ∞. Thus yconverges strongly
µ-faster than xby Definition 3.
The opposite assertion to Theorem 1, however, is not valid.
Example 1. Let x= (xn)c\ϕbe given by the relations
xn=1
(n+ 1)2nif n= 3k,
(n+ 1)38nxn=o(1) if n= 3k+ 1,
2n(n+ 1)2xn6=O(1),2n(n+ 1)xn=o(1) if n= 3k+ 2,
where k= 0,1,.... It was proved in [1] that applying Aitken’s process to the
subsequence (x3k)of xwe get the sequence y= (yn), where
yn=9
8n(1323n3+ 6993n2+ 12024n+ 6736) .
Math. Model. Anal., 13(1):1–6, 2008.
Downloaded by [117.174.227.186] at 00:56 21 March 2014
4A. Aasma
It is easy to see now that yconverges not faster than xand xconverges
not faster than y, but yconverges strongly µ-faster than x. Indeed, we can
determine the limit speeds of convergence of xand yrespectively by λ= (λ
n)
and µ= (µ
n), where
λ
n= 2n(n+ 1), µ
n= 23n(n+ 1)3.
As µ
n
n→ ∞, then yconverges strongly µ-faster than xby Definition 3.
Suppose now that x= (xn)c\ϕwith the limit ςbe a sequence for which
the sequence of absolute differences (|xnς|)is monotonically decreasing.
We show that in this case the strong µ-faster convergence coincides with the
classical faster convergence.
Theorem 2. Let x= (xn)c\ϕbe a sequence (with the limit ς), for which
the sequence of absolute differences (|xnς|)is monotonically decreasing. If
a sequence y= (yn)(with limit ξ) converges strongly µ-faster than x, then y
converges also faster than x.
Proof It is not difficult to see that the limit speed λ= (λ
n)of a sequence x
can be defined by the equality λ
n= 1/|xnς|. If µ= (µ
n)is the limit speed
of y, then we get
µ
n|ynξ|
λ
n|xnς|=µ
n|ynξ|=O(1).
Last relation implies equality (1.1), since µ
n
n→ ∞.
It is said (see [1]) that a regular method Aµ-accelerates the convergence
of a sequence xcif the sequence Axconverges µ-faster than x.
Definition 4. We say that a matrix method Astrongly µ-accelerates the
convergence of a sequence xcif the sequence Axconverges strongly µ-faster
than x.
Theorem 3. For every xc\ϕthere exists a regular matrix A, which strongly
µ-accelerates the convergence of x.
Proof By Corollary 2.1 of [1] every xc\ϕhas the limit speed λ= (λ
n).
We show that there exists a regular matrix Aso that the limit speed of the
sequence (Anx)is higher than λ. As every x= (xn)c(with limit ς) can
be presented in the form
x=x0+ςe, where x0=x0
nc0and e= (1,1, ...),(2.1)
where c0is the set of sequences, converging to zero, then we get
λ
n|xnς|=λ
nx0
n=O(1) or x0
n=O1
λ
nand λ
nx0
n6=o(1).
Downloaded by [117.174.227.186] at 00:56 21 March 2014
Strong µ-Faster Convergence and Strong µ-Acceleration of Convergence 5
As the limit speed λis a monotonically increasing unbounded sequence, then
there exists a subsequence λ
knof λsuch that λ
kn
n→ ∞. We define a
matrix A= (ank)by the equalities
ank =(1k=kn,
0k6=kn.
With the help of Theorem 2.3.7 from [2] it is not difficult to check that the
matrix Ais regular. Now we have
Anx0=X
k
ankx0
k=x0
kn=O1
λ
kn
or, equivalently,
λ
knAnx0=O(1).
Denoting µ= (µn) = λ
kn, we get
µnAnx0=O(1),where µn
n→ ∞.
Therefore Astrongly µ-accelerates the convergence of x0. As Ane= 1, then
with the help of (2.1) we conclude
µn|Anxς|=µnAnx0+ςAneς=µnAnx0.
Consequently Astrongly µ-accelerates also the convergence of x.
We note that the assertion of Theorem 3does not hold for the concept
of classical faster convergence. Indeed, it is not possible to accelerate the
convergence of x= (xn)c\ϕby any regular matrix method if, for example,
xis defined by the relation
xn=
1
n+ 1 n= 2k,
0n= 2k+ 1.
It follows from the proof of Theorem 3.2 of [1] that for every triangular
regular matrix Athere exists a convergent sequence x, which converges µ-
faster than its A-transform Ax. For strong µ-acceleration of convergence we
can extract from the proof of Theorem 3.2 of [1] the following result.
Proposition 1. If a triangular regular matrix Ahas a column with infinite
number of non-zero elements, then there exists a sequence x, converging strongly
µ-faster than its A-transform Ax.
As we see from Proposition 1, for some triangular regular methods Ait
is possible to choose a sequence x, converging strongly µ-faster than its A-
transform Ax, but it is not so for all triangular regular matrices.
Math. Model. Anal., 13(1):1–6, 2008.
Downloaded by [117.174.227.186] at 00:56 21 March 2014
6A. Aasma
Example 2. Let A= (ank )be defined by the relation
ank =
δnk n= 2j,
1
2n= 2j+ 1, k =n1, n,
0k < n 1,
where j= 0,1,.... Then for every convergent sequence x= (xk)we get
Anx=
xnn= 2j,
1
2(xn1+xn)n= 2j+ 1,
where j= 0,1,.... Now a sequence xcan converge µ-faster than its A-
transform Ax only in the case, if xn1/xn6=O(1).But never xcan converge
strongly µ-faster than its A-transform Ax.
References
[1] A. Aasma. µ-faster convergence and µ-acceleration of convergence by regular
matrices. Proc. Estonian Acad. Sci. Phys. Math.,55(4):195–209, 2006.
[2] J. Boos. Classical and Modern Methods in Summability. Oxford University Press,
Oxford, 2000.
[3] C. Brezinski. Limiting relationships and comparison theorems for sequences.
Rend. Circ. Mat. Palermo,28(2):273–280, 1979.
[4] C. Brezinski. Contraction properties of sequence transformations. Numer. Math.,
54(3):565–574, 1989.
[5] C. Brezinski. Convergence acceleration during the 20th century. J. Comput.
Appl. Math.,122(1):1–21, 1999.
[6] I. Kornfeld. Nonexistence of universally accelerating linear summability methods.
J. Comput. Appl. Math.,53(2):309–321, 1994.
[7] I. Tammeraid. Several remarks on acceleration of convergence using generalized
linear methods of summability. J. Comput. Appl. Math.,159(2):365–373, 2003.
Downloaded by [117.174.227.186] at 00:56 21 March 2014
... In this section we introduce a new concept, which is weaker than the concept of weak faster convergence. The main results of this section are modified and upgraded versions of the similar results of [2] and [3]. ...
... In this section we study the convergence acceleration method, based on the notion of strong µ-faster convergence. In this section we modify and upgrade some results of [2]. ...
Chapter
A new, nonclassical convergence acceleration concept, called μ\mu -acceleration of convergence (where μ\mu is a positive monotonically increasing sequence), is introduced and compared with the classical convergence acceleration concept. It is shown that this concept allows to compare the speeds of convergence for a larger set of sequences than the classical convergence acceleration concept. Also, regular matrix methods that improve and accelerate the convergence of sequences and series are studied. Some problems related to the speed of convergence of sequences and series with respect to matrix methods are discussed. Several theorems on the improvement and acceleration of the convergence are proved. As an application, the results obtained are used to increase the order of approximation of Fourier expansions and Zygmund means of Fourier expansions in certain Banach spaces.
Article
Full-text available
In this work some new nonclassical convergence acceleration concepts are described and compared with the classical convergence acceleration concept. It is shown that these concepts allow to compare the speeds of convergence for a larger set of sequences than the classical convergence acceleration concept. For the acceleration of convergence of sequences regular matrix methods are used. As an application the obtained results can be used for accelerating the convergence of Fourier expansions and for increasing the order of approximation of Fourier expansions and Zygmund means of Fourier expansions in Banach space.
Article
The aim of this paper is to define some mathematical concepts which are useful to measure the speed of convergence of a sequence and to compare two converging sequences. In that way we define the order, the relative order and the α-equivalence of sequences. The asymptotic expansion of a series is studied and an application to Aitken acceleration process is given. A theorem similar to l'Hospital's rule is also proved for sequences.
Article
Let A = [a(mn)], B = [b(mn)] be two regular Toeplitz matrices. Suppose that for every convergent sequence {s(n)} its B-transform {sigma(m)(B)}, where sigma(m)(B) = SIGMA(n=1)infinityb(mn)s(n), converges not slower than sigma(m)(A), in the sense that \sigma(m)(B) - s\ less-than-or-equal-to K\sigma(m)(A) - s\, where s = lim(n --> infinity) S(n), and K does not depend on m (only on {S(n}). Then A and B are equivalent (i.e., they sum the same sequences, even unbounded), and moreover, A and B essentially coincide: there exists a number p such that a(mn) = b(mn) if m greater-than-or-equal-to p.
Article
Several propositions on A‐boundedness for generalized Riesz method (5ft, Pn), where Pn are linear bounded operators from Banach space X into X, are proved. These results are applied to study convergence acceleration using generalized Riesz method and generalized Zygmund method.
Article
Several λ‐boundedness propositions for generalized linear methods A = (Ank), while Ank are specially fixed linear bounded operators from Banach space X into X, are presented. These results are proved using necessary and sufficient conditions for inclusion Am X ? m X.
Article
Since convergence acceleration is sometimes difficult to achieve, a new concept, the contraction of a sequence transformation, is introduced and studied. After some definitions, an introductory example is given. Then some general results follow and Aitken's 2 process is examined in more details. The theta-procedure is studied and some conclusions and perspectives are evocated.
Article
Some acceleration theorems for generalized linear summability methods , where Ank are linear bounded operators from Banach space (B-space) X into B-space Y are derived. These results are proved by the method of summability with given rapidity. For this purpose some problems of summability with given rapidity are discussed.