Solving Higher-Order Graphs Method: A Linear Analytical Treatment

Authors

  • Eusebio Bernabeu Universidad Complutense de Madrid, Ciudad Universitaria. 28040 Madrid, Spain.
  • Hala Kamal Department of Physics, Faculty of Science, Ain Shams University. 1156 Cairo, Egypt.
  • Alicia Larena Universidad Politécnica de Madrid, ETSII. 28006 Madrid, Spain.

DOI:

https://doi.org/10.9734/bpi/ramrcs/v5/14560D

Keywords:

Flow graph, matrix algebra, linear equations, cascade graph, graph order, path ordinal, path-set, SoS, IoT, quantum communications, neuronal networks models, multiple interferometry

Abstract

Analytical treatment of the composition of higher-order graphs representing linear relations between variables is developed. A path formalism to deal with problems in graph theory is introduced. It is shown how paths in the composed graph representing individual contributions to variables relation can be enumerated and represented by ordinals. The method allows one to extract partial information and gives an alternative to classical graph approach. An analysis of higher-order graphs as potent tool to generate algorithms for SoS, IoT, quantum communications, neuronal networks models, multiple interferometric devices is also reported.

Published

2021-11-22

How to Cite

Eusebio Bernabeu, Hala Kamal, & Alicia Larena. (2021). Solving Higher-Order Graphs Method: A Linear Analytical Treatment. Recent Advances in Mathematical Research and Computer Science Vol. 5, 69–82. https://doi.org/10.9734/bpi/ramrcs/v5/14560D