2015Unpublished venueRequires access

KONVERGENSI-I;( I-CONVERGENCE )

Yoseph Wastu Winayaka, Atok Zulijanto

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Abstract

Statistical convergence is an extension of the convergence of a sequence of real numbers using concept of asymptotic density. In this final project, we discuss I-convergence as a generalization of statistical convergence. Furthermore, the discussion is divided into two topics, namely I-convergence of a sequence in a metric space and I-convergence of a sequence of real numbers. On the topic of I-convergence of a sequence in a metric space we observe some properties adapted from the convergence of the sequence in a metric space and statistical convergence. On the topic of I-convergence of a sequence of real numbers, we present a generalization of conditions analogous to the convergence of a sequence of real numbers, for example I-monotone sequence, I-bounded sequence and the concept of I-limit superior and I-limit inferior. In the end, we present the relation between I-convergence and the concept of I-limit superior and I-limit inferior with some counter-example to show the existence of the properties that only happen in particular cases.

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What this paper is about

Statistical convergence is an extension of the convergence of a sequence of real numbers using concept of asymptotic density. In this final project, we discuss I-convergence as a generalization of statistical convergence. Furthermore, the discussion is divided into two topics, namely I-convergence of a sequence in a metric space and I-convergence of a sequence of real numbers. On the topic of I-convergence of a sequence in a metric space we observe some properties adapted from the convergence of the sequence in a metric space and statistical convergence. On the topic of I-convergence of a sequence of real numbers, we present a generalization of conditions analogous to the convergence of a sequence of real numbers, for example I-monotone sequence, I-bounded sequence and the concept of I-limit superior and I-limit inferior. In the end, we present the relation between I-convergence and the concept of I-limit superior and I-limit inferior with some counter-example to show the existence of the properties that only happen in particular cases.

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Available abstract

Statistical convergence is an extension of the convergence of a sequence of real numbers using concept of asymptotic density. In this final project, we discuss I-convergence as a generalization of statistical convergence. Furthermore, the discussion is divided into two topics, namely I-convergence of a sequence in a metric space and I-convergence of a sequence of real numbers. On the topic of I-convergence of a sequence in a metric space we observe some properties adapted from the convergence of the sequence in a metric space and statistical convergence. On the topic of I-convergence of a sequence of real numbers, we present a generalization of conditions analogous to the convergence of a sequence of real numbers, for example I-monotone sequence, I-bounded sequence and the concept of I-limit superior and I-limit inferior. In the end, we present the relation between I-convergence and the concept of I-limit superior and I-limit inferior with some counter-example to show the existence of the properties that only happen in particular cases.

Key concepts: Limit of a sequence, Sequence (biology), Compact convergence, Convergence tests, Modes of convergence (annotated index), Mathematics, Normal convergence, Convergence (economics)

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