On Distribution and Almost Convergence of Bounded Sequences
نویسندگان
چکیده
In this paper, we give the concepts of properly distributed and simply distributed sequences, and prove that they are almost convergent. Basing on these, we review the work of Feng and Li [Feng, B. Q. and Li, J. L., Some estimations of Banach limits, J. Math. Anal. Appl. 323(2006) No. 1, 481-496. MR2262220 46B45 (46A45).], which is shown to be a special case of our generalized theory. 1. preliminary and background Let l be the Banach space of bounded sequences of real numbers x := {x(n)}n=1 with norm ‖x‖∞ = sup |x(n)|. As an application of Hahn-Banach theorem, a Banach limit L is a bounded linear functional on l, which satisfies the following properties: (a)If x := {x(n)}n=1 ∈ l ∞ and x(n) ≥ 0, then L(x) ≥ 0; (b)If x := {x(n)}n=1 ∈ l ∞ and Tx = {x(2), x(3), . . .}, then L(x) = L(Tx), where T is the translation operator ; (c)L(1) = 1, where 1 := {1, 1, . . .}; (d)‖L‖ = 1; (e)If x := {x(n)}n=1 ∈ c, then L(x) = limn→∞ x(n), where c is the Banach subspace of l consisting of convergent sequences. Since the Hahn-Banach norm-preserving extension is not unique, there must be many Banach limits in the dual space of l, and usually different Banach limits have different values at the same element in l. However, there indeed exist sequences whose values of all Banach limits are the same. Condition (e) is a trivial example. Besides that, there also exist nonconvergent sequences satisfying this property, for such examples please see [1] and [2]. In [3], G. G. Lorentz called a sequence x := {x(n)}n=1 almost convergent, if all Banach limits of x, L(x), are the same. In his paper, Lorentz proved the following criterion for almost convergent sequences: Theorem 1.1. A sequence x := {x(n)}n=1 ∈ l ∞ is almost convergent if and only if
منابع مشابه
On the Spaces of $lambda _{r}$-almost Convergent and $lambda _{r}$-almost Bounded Sequences
The aim of the present work is to introduce the concept of $lambda _{r}$-almost convergence of sequences. We define the spaces $fleft( lambda _{r}right) $ and $f_{0}left( lambda _{r}right) $ of $ lambda _{r}$-almost convergent and $lambda _{r}$-almost null sequences. We investigate some inclusion relations concerning those spaces with examples and we determine the $beta $- and $gamma $-duals of...
متن کاملOn convergence of sample and population Hilbertian functional principal components
In this article we consider the sequences of sample and population covariance operators for a sequence of arrays of Hilbertian random elements. Then under the assumptions that sequences of the covariance operators norm are uniformly bounded and the sequences of the principal component scores are uniformly sumable, we prove that the convergence of the sequences of covariance operators would impl...
متن کاملAlmost Sure Convergence Rates for the Estimation of a Covariance Operator for Negatively Associated Samples
Let {Xn, n >= 1} be a strictly stationary sequence of negatively associated random variables, with common continuous and bounded distribution function F. In this paper, we consider the estimation of the two-dimensional distribution function of (X1,Xk+1) based on histogram type estimators as well as the estimation of the covariance function of the limit empirical process induced by the se...
متن کاملFURTHER RESULTS OF CONVERGENCE OF UNCERTAIN RANDOM SEQUENCES
Convergence is an issue being widely concerned about. Thus, in this paper, we mainly put forward two types of concepts of convergence in mean and convergence in distribution for the sequence of uncertain random variables. Then some of theorems are proved to show the relations among the three convergence concepts that are convergence in mean, convergence in measure and convergence in distributio...
متن کاملTHE ALMOST SURE CONVERGENCE OF WEIGHTED SUMS OF NEGATIVELY DEPENDENT RANDOM VARIABLES
In this paper we study the almost universal convergence of weighted sums for sequence {x ,n } of negatively dependent (ND) uniformly bounded random variables, where a, k21 is an may of nonnegative real numbers such that 0(k ) for every ?> 0 and E|x | F | =0 , F = ?(X ,…, X ) for every n>l.
متن کاملThe Almost Sure Convergence for Weighted Sums of Linear Negatively Dependent Random Variables
In this paper, we generalize a theorem of Shao [12] by assuming that is a sequence of linear negatively dependent random variables. Also, we extend some theorems of Chao [6] and Thrum [14]. It is shown by an elementary method that for linear negatively dependent identically random variables with finite -th absolute moment the weighted sums converge to zero as where and is an array of...
متن کامل