Abstract
The resistance distance \(r_{G}(u,v)\) between two vertices u and v of a graph G is defined as the net effective resistance between them in the electric network constructed from G by replacing each edge with a unit resistor. The Kirchhoff index Kf(G) is defined as the sum of resistance distances between all pairs of vertices. Let \(L^{m}_{n}\) be a \(K_n\)-chain network with m complete graphs. Then identifying the opposite lateral edges of \(L^{m}_{n}\) in an order way yields the \(K_n\)-ring, denoted by \(C^{m}_{n}\). In this paper, we first construct a new equivalent network transformation on complete graphs. Then utilize combinatorial and electrical network approaches, we give explicit formula for the resistance distances between any two vertices in \(L^{m}_{n}\) and \(C^{m}_{n}\). Further, the closed-form formulas of the Kirchhoff index for \(L^{m}_{n}\) and \(C^{m}_{n}\) are also obtained. In addition, our results contain the main results of [Symmetry. 15(5) (2023) 1122] and [Phys. Scr. 98(4) (2023) 045222] as special cases.
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Acknowledgements
The authors would like to thank the anonymous referees for their careful reading of the manuscript and valuable comments. The support of the National Natural Science Foundation of China (through Grant No. 12171414, 11571155) and Taishan Scholars Special Project of Shandong Province is greatly acknowledged.
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Appendices
Appendix A Proof of Case 5 in Theorem 3.1
Proof
By principle of elimination, we have
The proof is complete. \(\square \)
Appendix B Proof of Case 5 in Theorem 3.2
Proof
By carrying out series and parallel principles to simplify network \(C^*\), we obtain the isomorphic equivalent network \(H^{*}\) as shown in Fig. 11a, where
\(R_{H^{*}}(u,v_{i})=\frac{1}{n}; R_{H^{*}}(u_j,x_j)= R_{H^{*}}(u_j,y_j)=R_{H^{*}}(x_j,w_{j-1})=R_{H^{*}}(y_j,w_{j-1})=\frac{1}{n-1};\)
\(R_{H^{*}}(v_{i},u_j)=\frac{i-j}{n}-\frac{1}{2n^{2}-2n}\); \(R_{H^{*}}(v_{i},w_{j-1})=\frac{m-i+j-1}{n}-\frac{1}{2n^{2}-2n}\).
Without loss of generality, let \(v=x_j\). Then we replace the path \(u_{j}y_{j}w_{j-1}\) by a new edge \(u_{j}w_{j-1}\) of weight \(\frac{2}{n-1}\). Since \(\{x_{j},u_{j},w_{j-1}\}\) form a \(\triangle \)-network in Fig. 11a, we make \(\triangle -Y\) transformation to it by replacing the \(\triangle \)-network \(\{x_{j},u_{j},w_{j-1}\}\) with a Y-network with center \(o_j\), then we obtain the final network \(H^{\star }\), see Fig. 11b, where
\(R_{H^{\star }}(u,v_{i})=\frac{1}{n}\); \(R_{H^{\star }}(o_j,x_j)=\frac{1}{4n-4};\)
\(R_{H^{\star }}(v_{i},u_j)=\frac{i-j}{n}-\frac{1}{2n^{2}-2n}\); \(R_{H^{\star }}(v_{i},w_{j-1})=\frac{m-i+j-1}{n}-\frac{1}{2n^{2}-2n}\);
\(R_{H^{\star }}(u_j,o_j)=R_{H^{\star }}(w_{j-1},o_j)=\frac{1}{2n-2}\).
By simple calculation, we have
The proof is complete. \(\square \)
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Sun, W., Sardar, M.S., Yang, Y. et al. On the Resistance Distance and Kirchhoff Index of \(K_n\)-chain(Ring) Network. Circuits Syst Signal Process (2024). https://doi.org/10.1007/s00034-024-02709-y
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DOI: https://doi.org/10.1007/s00034-024-02709-y