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Copyright © 2020 Awad A. Bakery and Afaf R. Abou Elmatty. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0/

Abstract

Let E be a weighted Nakano sequence space or generalized Cesáro sequence space defined by weighted mean and by using snumbers of operators from a Banach space X into a Banach space Y. We give the sufficient (not necessary) conditions on E such that the components SEX,YTLX,Y:snTn=0E of the class SE form pre-quasi operator ideal, the class of all finite rank operators are dense in the Banach pre-quasi ideal SE, the pre-quasi operator ideal formed by the sequence of approximation numbers is strictly contained for different weights and powers, the pre-quasi Banach Operator ideal formed by the sequence of approximation numbers is small, and finally, the pre-quasi Banach operator ideal constructed by snumbers is simple Banach space.

Details

Title
Pre-Quasi Simple Banach Operator Ideal Generated by s−Numbers
Author
Bakery, Awad A 1   VIAFID ORCID Logo  ; Abou Elmatty, Afaf R 2 

 University of Jeddah, College of Science and Arts at Khulis, Department of Mathematics, Jeddah, Saudi Arabia; Department of Mathematics, Faculty of Science, Ain Shams University, P.O. Box 1156, Abbassia, Cairo 11566, Egypt 
 Department of Mathematics, Faculty of Science, Ain Shams University, P.O. Box 1156, Abbassia, Cairo 11566, Egypt 
Editor
Shanhe Wu
Publication year
2020
Publication date
2020
Publisher
John Wiley & Sons, Inc.
ISSN
23148896
e-ISSN
23148888
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2406274005
Copyright
Copyright © 2020 Awad A. Bakery and Afaf R. Abou Elmatty. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0/