Eccentricity energy change of coalescence of graphs due to edge deletion
Anjitha Ashokan, Chithra A V

TL;DR
This paper studies how removing edges affects the eccentricity energy of a specific class of coalesced graphs, proving that eccentricity energy always increases with edge deletion.
Contribution
It demonstrates that for a class of coalesced graphs, eccentricity energy monotonically increases when edges are deleted, a novel insight into graph energy behavior.
Findings
Eccentricity energy increases with edge deletion in the studied graph class.
Identifies a class of graphs with monotonic eccentricity energy growth under edge removal.
Provides theoretical proof of energy increase upon edge deletion.
Abstract
The eccentricity matrix of a graph is obtained from the distance matrix by keeping the largest entries in their row or column, and the remaining entries are replaced by zeros. The eccentricity energy of a graph is the sum of the absolute values of the eigenvalues of its eccentricity matrix. In this paper, we investigate the effect of edge deletion on the eccentricity energy of graphs of the form where and denotes the coalescence of graphs, and prove that the eccentricity energy increases whenever an edge is removed. This result identifies a class of graphs whose eccentricity energy exhibits monotonic growth under edge deletion.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph theory and applications · Complex Network Analysis Techniques · Graph Labeling and Dimension Problems
