G-filters and Generalized Complemented Distributive Lattices
DOI:
https://doi.org/10.29020/nybg.ejpam.v18i1.5490Keywords:
Dense elements, Filters, G-filters, Normal G-filters, quasi-complemented distributive lattices, generalized complemented distributive latticesAbstract
In this work, we derive a class of filters (G-filters, normal G-filters, and co-dense filters) in a distributive lattice (with dense elements). We also verify the various algebraic properties of these filters. It is observed that the set of co-dense filters forms an uninduced distributive lattice, and the set of G-filters forms a Boolean algebra. We characterize quasi-complemented distributive lattices using G-filters and normal G-filters. Using normal G-filters, we demonstrate several necessary and sufficient requirements for a distributive lattice to become quasi-complemented. Also, we introduce generalized complementation on a distributive lattice and characterize it in terms of quasi-complemented distributive lattices.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Jogarao Gunda, Ramesh Sirisetti, Ravikumar Bandaru, Rahul Shukla
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Upon acceptance of an article by the European Journal of Pure and Applied Mathematics, the author(s) retain the copyright to the article. However, by submitting your work, you agree that the article will be published under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). This license allows others to copy, distribute, and adapt your work, provided proper attribution is given to the original author(s) and source. However, the work cannot be used for commercial purposes.
By agreeing to this statement, you acknowledge that:
- You retain full copyright over your work.
- The European Journal of Pure and Applied Mathematics will publish your work under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
- This license allows others to use and share your work for non-commercial purposes, provided they give appropriate credit to the original author(s) and source.