On spectra and energy of eccentricity matrix of graphs and strongly connected digraphs
Implementing Organization
National Institute of Technology Srinagar
Principal Investigator
Dr. Mushtaq Ahmad Bhat
National Institute of Technology (NIT) srinagar, Jammu & Kashmir
About
A graph is strongly connected if its adjacency matrix is irreducible. However, this is not true for the eccentricity matrix of a connected graph. The problem of irreducibility of eccentricity matrices has been studied for trees and special graphs like cycles and windmill graphs. Further research is needed for general graphs. The spectral radius and least eigenvalue of eccentricity matrices of graphs is less known.
The concept of energy of a graph is defined as the sum of the absolute values of its adjacency eigenvalues. Recently, the concept of energy has been extended to eccentricity matrices, and analogues of some basic results have been obtained. One direction in energy of graphs is studying the extremal energy problem, determining graphs with maximal and minimal energies in certain families.
The rank and nullity of adjacency matrices of graphs are well studied, but the concept of eccentricity matrices remains a challenge. The distance is well defined for strongly connected digraphs, and the eccentricity matrix has been defined for digraphs and its basic spectral properties have been studied.
Source
Source
Anusandhan National Research Foundation/Science and Engineering Research Board (SERB), DST 2023-24
Science and Engineering Research Board (SERB), New Delhi
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Mathematical Sciences
Focus Area
Mathematics and Graph Theory
Start Year
2024
End Year
2027
Sanction Amount
₹ 6.60 L
Status
Ongoing
Contact
mushtaqab1125@gmail.com
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
No. of Patents
Filed :00
Grant :00
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