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On the Formalization of Network Topology Matrices in HOL

Kubra Aksoy, Adnan Rashid, Osman Hasan, Sofiene Tahar

Abstract

Network topology matrices are algebraic representations of graphs that are widely used in modeling and analysis of various applications including electrical circuits, communication networks and transportation systems. In this paper, we propose to use Higher-Order-Logic (HOL) based interactive theorem proving to formalize network topology matrices. In particular, we formalize adjacency, degree, Laplacian and incidence matrices in the Isabelle/HOL proof assistant. Our formalization is based on modelling systems as networks using the notion of directed graphs (unweighted and weighted), where nodes act as components of the system and weighted edges capture the interconnection between them. Then, we formally verify various classical properties of these matrices, such as indexing and degree. We also prove the relationships between these matrices in order to provide a comprehensive formal reasoning support for analyzing systems modeled using network topology matrices. To illustrate the effectiveness of the proposed approach, we formally analyze the Kron reduction of the Laplacian matrix and verify the total power dissipation in a generic resistive electrical network, both commonly used in power flow analysis.

On the Formalization of Network Topology Matrices in HOL

Abstract

Network topology matrices are algebraic representations of graphs that are widely used in modeling and analysis of various applications including electrical circuits, communication networks and transportation systems. In this paper, we propose to use Higher-Order-Logic (HOL) based interactive theorem proving to formalize network topology matrices. In particular, we formalize adjacency, degree, Laplacian and incidence matrices in the Isabelle/HOL proof assistant. Our formalization is based on modelling systems as networks using the notion of directed graphs (unweighted and weighted), where nodes act as components of the system and weighted edges capture the interconnection between them. Then, we formally verify various classical properties of these matrices, such as indexing and degree. We also prove the relationships between these matrices in order to provide a comprehensive formal reasoning support for analyzing systems modeled using network topology matrices. To illustrate the effectiveness of the proposed approach, we formally analyze the Kron reduction of the Laplacian matrix and verify the total power dissipation in a generic resistive electrical network, both commonly used in power flow analysis.

Paper Structure

This paper contains 18 sections, 22 equations, 6 figures, 2 tables.

Figures (6)

  • Figure 1: Locales Development of Network Systems
  • Figure 2: IEEE 5-Bus System with its Weighted Directed Graph Representation and Adjacency Matrix
  • Figure 3: Degree and Laplacian Matrices of the Graph in Figure \ref{['Fig:weidgad']}(b)
  • Figure 4: Relationships between Network Topology Matrices
  • Figure 5: Area 4 of the Modified IEEE RTS-96 Test System and Kron reduction of its Graph Representation wang2023modelling
  • ...and 1 more figures

Theorems & Definitions (7)

  • definition 1
  • definition 2
  • definition 3
  • definition 4
  • definition 5
  • definition 6
  • definition 7