An Algorithm for Point Correspondences Based on Laplacian Spectra of Graphs

Author(s):  
Nian Wang ◽  
Jun Tang ◽  
Yi-zheng Fang ◽  
Rui Dong
2011 ◽  
Vol 59 (3) ◽  
pp. 303-315 ◽  
Author(s):  
Mingqing Zhai ◽  
Ruifang Liu ◽  
Jinlong Shu

2019 ◽  
Vol 11 (2) ◽  
pp. 407-417 ◽  
Author(s):  
S. Pirzada ◽  
H.A. Ganie ◽  
A.M. Alghamdi

For a simple graph $G(V,E)$ with $n$ vertices, $m$ edges, vertex set $V(G)=\{v_1, v_2, \dots, v_n\}$ and edge set $E(G)=\{e_1, e_2,\dots, e_m\}$, the adjacency matrix $A=(a_{ij})$ of $G$ is a $(0, 1)$-square matrix of order $n$ whose $(i,j)$-entry is equal to 1 if $v_i$ is adjacent to $v_j$ and equal to 0, otherwise. Let $D(G)={diag}(d_1, d_2, \dots, d_n)$ be the diagonal matrix associated to $G$, where $d_i=\deg(v_i),$ for all $i\in \{1,2,\dots,n\}$. The matrices $L(G)=D(G)-A(G)$ and $Q(G)=D(G)+A(G)$ are respectively called the Laplacian and the signless Laplacian matrices and their spectra (eigenvalues) are respectively called the Laplacian spectrum ($L$-spectrum) and the signless Laplacian spectrum ($Q$-spectrum) of the graph $G$. If $0=\mu_n\leq\mu_{n-1}\leq\cdots\leq\mu_1$ are the Laplacian eigenvalues of $G$, Brouwer conjectured that the sum of $k$ largest Laplacian eigenvalues $S_{k}(G)$ satisfies $S_{k}(G)=\sum\limits_{i=1}^{k}\mu_i\leq m+{k+1 \choose 2}$ and this conjecture is still open. If $q_1,q_2, \dots, q_n$ are the signless Laplacian eigenvalues of $G$, for $1\leq k\leq n$, let $S^{+}_{k}(G)=\sum_{i=1}^{k}q_i$ be the sum of $k$ largest signless Laplacian eigenvalues of $G$. Analogous to Brouwer's conjecture, Ashraf et al. conjectured that $S^{+}_{k}(G)\leq m+{k+1 \choose 2}$, for all $1\leq k\leq n$. This conjecture has been verified in affirmative for some classes of graphs. We obtain the upper bounds for $S^{+}_{k}(G)$ in terms of the clique number $\omega$, the vertex covering number $\tau$ and the diameter of the graph $G$. Finally, we show that the conjecture holds for large families of graphs.


2014 ◽  
Vol 460 ◽  
pp. 97-110 ◽  
Author(s):  
Milan Nath ◽  
Somnath Paul

2019 ◽  
Vol 26 (2) ◽  
pp. 227-234
Author(s):  
Mojgan Afkhami ◽  
Mehdi Hassankhani ◽  
Kazem Khashyarmanesh

Abstract Let {G_{n}} and {G_{n}^{\prime}} be two nonisomorphic graphs on n vertices with spectra (with respect to the adjacency matrix) \lambda_{1}\geq\lambda_{2}\geq\cdots\geq\lambda_{n}\quad\text{and}\quad\lambda% ^{\prime}_{1}\geq\lambda^{\prime}_{2}\geq\cdots\geq\lambda^{\prime}_{n}, respectively. Define the distance between the spectra of {G_{n}} and {G_{n}^{\prime}} as \lambda(G_{n},G^{\prime}_{n})=\sum_{i=1}^{n}(\lambda_{i}-\lambda^{\prime}_{i})% ^{2}\quad\biggl{(}\text{or use }\sum_{i=1}^{n}\lvert\lambda_{i}-\lambda^{% \prime}_{i}\rvert\biggr{)}. Define the cospectrality of {G_{n}} by \operatorname{cs}(G_{n})=\min\bigl{\{}\lambda(G_{n},G^{\prime}_{n}):G^{\prime}% _{n}\text{ not isomorphic to }G_{n}\bigr{\}}. In this paper, we investigate {\operatorname{cs}(G_{n})} for special classes of graphs with respect to normalized Laplacian spectra and we find {\operatorname{cs}(K_{n})} , {\operatorname{cs}(nK_{1})} and {\operatorname{cs}(K_{2}+(n-2)K_{1})} ( {n\geq 2} ). We also find an upper bound for {\operatorname{cs}_{n}} .


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