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The resistance distance of a dual number weighted graph

Yu Li, Lizhu Sun, Changjiang Bu

TL;DR

The paper develops a framework for dual number weighted graphs to study perturbations of electrical networks. By establishing the existence and explicit forms of $L_{w}^{\{1\}}$ and $L_{w}^{\dag}$, it derives exact formulas for resistance distance $R_{ij}(G^{w})$ and Kirchhoff index $Kf(G^{w})$ under perturbations, expressed through the original Laplacian and the perturbation $\widehat{L}$. It also provides sharp perturbation bounds for $R_{ij}$ and $Kf$ in terms of the spectrum of $L$ and $\widehat{L}$, and specializes to edge-wise perturbations to quantify their impact on network efficiencies. These results enable precise sensitivity analysis of network resistance measures under infinitesimal dual-number perturbations, with implications for robustness and network design in perturbed environments.

Abstract

For a graph $G=(V,E)$, assigning each edge $e\in E$ a weight of a dual number $w(e)=1+\widehat{a}_{e}\varepsilon$, the weighted graph $G^{w}=(V,E,w)$ is called a dual number weighted graph, where $-\widehat{a}_{e}$ can be regarded as the perturbation of the unit resistor on edge $e$ of $G$. For a connected dual number weighted graph $G^{w}$, we give some expressions and block representations of generalized inverses of the Laplacian matrix of $G^{w}$. And using these results, we derive the explicit formulas of the resistance distance and Kirchhoff index of $G^{w}$. We give the perturbation bounds for the resistance distance and Kirchhoff index of $G$. In particular, when only the edge $e=\{i,j\}$ of $G$ is perturbed, we give the perturbation bounds for the Kirchhoff index and resistance distance between vertices $i$ and $j$ of $G$, respectively.

The resistance distance of a dual number weighted graph

TL;DR

The paper develops a framework for dual number weighted graphs to study perturbations of electrical networks. By establishing the existence and explicit forms of and , it derives exact formulas for resistance distance and Kirchhoff index under perturbations, expressed through the original Laplacian and the perturbation . It also provides sharp perturbation bounds for and in terms of the spectrum of and , and specializes to edge-wise perturbations to quantify their impact on network efficiencies. These results enable precise sensitivity analysis of network resistance measures under infinitesimal dual-number perturbations, with implications for robustness and network design in perturbed environments.

Abstract

For a graph , assigning each edge a weight of a dual number , the weighted graph is called a dual number weighted graph, where can be regarded as the perturbation of the unit resistor on edge of . For a connected dual number weighted graph , we give some expressions and block representations of generalized inverses of the Laplacian matrix of . And using these results, we derive the explicit formulas of the resistance distance and Kirchhoff index of . We give the perturbation bounds for the resistance distance and Kirchhoff index of . In particular, when only the edge of is perturbed, we give the perturbation bounds for the Kirchhoff index and resistance distance between vertices and of , respectively.

Paper Structure

This paper contains 6 sections, 10 theorems, 92 equations.

Key Result

Lemma 2.2

Let $A=A_{s}+A_{d}\varepsilon\in \mathbb{D}^{m\times n}$, where $A_{s},A_{d}\in \mathbb{R}^{m\times n}$. Then the following results hold. $(a)$udwadia2021dualudwadia2021does The $\{1\}$-inverse of $A$ exists if and only if the Moore-Penrose inverse of $A$ exists. Suppose the $\{1\}$-inverse of $A$ e $(b)$wang2021characterizations The Moore-Penrose inverse of $A$ exists if and only if If the Moore

Theorems & Definitions (20)

  • Definition 2.1
  • Lemma 2.2
  • Lemma 2.3
  • proof
  • Lemma 3.1
  • proof
  • Theorem 3.2
  • proof
  • Theorem 3.3
  • proof
  • ...and 10 more