EconPapers    
Economics at your fingertips  
 

Almost Regular Matrices

M. Mursaleen and S. A. Mohiuddine
Additional contact information
M. Mursaleen: Aligarh Muslim University, Department of Mathematics
S. A. Mohiuddine: King Abdulaziz University, Department of Mathematics

Chapter Chapter 3 in Convergence Methods for Double Sequences and Applications, 2014, pp 41-61 from Springer

Abstract: Abstract The Silverman–Toeplitz theorem is a well-known theorem that states necessary and sufficient conditions to transform a convergent sequence into a convergent sequence leaving the limit invariant. This idea was extended to RH-regular matrices by using the notion of P-convergence (see Hamilton in Duke Math. J. 2:29–60, 1936 and Robinson in Trans. Am. Math. Soc. 28:50–73, 1926). In this chapter, we use the notion of almost convergence to define and characterize almost conservative, almost regular, strongly regular, and almost strongly regular four-dimensional matrices.

Keywords: Four-dimensional infinite matrices; $\mathcal{C}_{\nu }$ -conservative and $\mathcal{C}_{\nu }$ -regular matrices; Bounded-regular matrices; Almost $\mathcal{C}_{\nu }$ -conservative and almost $\mathcal{C}_{\nu }$ -regular matrices; Strongly regular matrices; Almost strongly regular (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-81-322-1611-7_3

Ordering information: This item can be ordered from
http://www.springer.com/9788132216117

DOI: 10.1007/978-81-322-1611-7_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-11-30
Handle: RePEc:spr:sprchp:978-81-322-1611-7_3