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A-Statistical Cluster Points in Finite Dimensional Spaces and Application to Turnpike Theorem

\(A\)-statistical cluster points in finite dimensional spaces and application to turnpike theorem
Authors: Pratulananda Das; Sudipta Dutta; S. A. Mohiuddine; Abdullah Alotaibi;

A-Statistical Cluster Points in Finite Dimensional Spaces and Application to Turnpike Theorem

Abstract

In the first part of the paper, following the works of Pehlivan et al. (2004), we study the set of allA-statistical cluster points of sequences inm-dimensional spaces and make certain investigations on the set of allA-statistical cluster points of sequences inm-dimensional spaces. In the second part of the paper, we apply this notion to study an asymptotic behaviour of optimal paths and optimal controls in the problem of optimal control in discrete time and prove a general version of turnpike theorem in line of the work of Mamedov and Pehlivan (2000). However, all results of this section are presented in terms of a more general notion ofℐ-cluster points.

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Keywords

Methods involving semicontinuity and convergence; relaxation, Convergence and divergence of series and sequences, QA1-939, Sensitivity, stability, well-posedness, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
gold
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