Strongly Rickart Modules
Journal Title: JOURNAL OF ADVANCES IN MATHEMATICS - Year 2014, Vol 9, Issue 4
Abstract
In this paper we introduce and study the concept of strongly Rickart modules and strongly CS-Rickart modules as a stronger than of Rickart modules [8] and CS-Rickart modules[3] respectively. A module M is said to be strongly Rickart module if the right annihilators of each single element in S = EndR(M) is generated by a left semicentral idempotent in S. A module M is said to be strongly CS- Rickart if for any ??S, rM(?) is an essential in fully invariant direct summand of M. Properties, results, characterizations and relation of these concepts with others known concepts of modules are studied.
Authors and Affiliations
Tamadher Arif, Saad Abdulkadhim Al-Saadi
Keywords
Related Articles
- EP ID EP651389
- DOI 10.24297/jam.v9i4.2382
- Views 146
- Downloads 0
Certain Subclass of Univalent Functions Involving Fractional Q-Calculus Operator
The main object of the present paper is to introduce certain subclass of univalent function associated with the concept of differential subordination. We studied some geometric properties like coefficient inequality and...
On BCL-Algebra
It has been found that the BCL-algebra is more extensive class than BCK/BCI/BCH algebra. In this paper we study some properties of BCL-algebra of type (2,0) We also find deformation of such algebra and illustrate th...
Probabilistic Representation of a Normal Generalized Inverse Gaussian Integral: Application to Option Pricing
An analytical probabilistic integral representation for the European call option price in the Hurst-Platen-Rachev subordinated asset price model with generalized inverse Gaussian subordinator is obtained. For the limitin...
Optimal Pricing Policies For Deteriorating items With Preservation Technology And Price Sensitive Demand
This paper considers the problem of determining the price, cycle time and preservation technology cost strategies for deteriorating items. It is assumed that preservation technology investment and demand rate do follow t...
BAYESIAN TWO-SAMPLE PREDICTION OF THE GENERALIZED PARETO DISTRIBUTION WITH FIXED AND RANDOM SAMPLE SIZES BASED ON GENERALIZED ORDER STATISTICS
Bayesian predictive intervals for future observations from a future sample from the generalized Pareto distribution (GPD) based on generalized order statistics (GOS) are obtained when the shape parameter is unknown. We...