Abstract

In this article we introduce the notion of ideal acceleration convergence of sequences of fuzzy real numbers. We have proved a decomposition theorem for ideal acceleration convergence of sequences as well as for subsequence transformations and studied different types of acceleration convergence of fuzzy real valued sequence.

Highlights

  • Faster convergence of sequences the acceleration of convergence of sequence of partial sums of series via linear and nonlinear transformations are widely used in finding solutions of mathematical as well as different scientific and engineering problems

  • The problem of acceleration convergence often occurs in numerical analysis

  • It is useful to study about the acceleration of convergence methods, which transform a slowly converging sequence into a new sequence, converging to the same limit faster than the original sequence

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Summary

Introduction

Faster convergence of sequences the acceleration of convergence of sequence of partial sums of series via linear and nonlinear transformations are widely used in finding solutions of mathematical as well as different scientific and engineering problems. We are interested in studying some properties for sequences of fuzzy real numbers in the process of acceleration convergence. The convergence rate of a sequence is defined as follows.

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