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On the Least Eigenvalue of Graphs with Cut Vertices 被引量:2
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作者 Yi WANG Yun QIAO Yi Zheng FAN 《Journal of Mathematical Research and Exposition》 CSCD 2010年第6期951-956,共6页
Let ψ be a certain set of graphs.A graph is called a minimizing graph in the set ψ if its least eigenvalue attains the minimum among all graphs in ψ.In this paper,we determine the unique minimizing graph in ψn,whe... Let ψ be a certain set of graphs.A graph is called a minimizing graph in the set ψ if its least eigenvalue attains the minimum among all graphs in ψ.In this paper,we determine the unique minimizing graph in ψn,where ψn denotes the set of connected graphs of order n with cut vertices. 展开更多
关键词 adjacency matrix least eigenvalue minimizing graph cut vertex.
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The Least Eigenvalue of Unicyclic Graphs with Application to Spectral Spread 被引量:1
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作者 Jiming Guo Gege Zhang +1 位作者 Zhiwen Wang Panpan Tong 《Algebra Colloquium》 SCIE CSCD 2022年第2期265-272,共8页
Let U^(g)_(n)be the set of connected unicyclic graphs of order n and girth g.Let C(T_(1),T_(2),…,T_(g))∈U^(g)_(n)be obtained from a cycle v_(1)v_(2)…v_(g)v_(1)(in an anticlockwise direction)by identifying v_(i)with... Let U^(g)_(n)be the set of connected unicyclic graphs of order n and girth g.Let C(T_(1),T_(2),…,T_(g))∈U^(g)_(n)be obtained from a cycle v_(1)v_(2)…v_(g)v_(1)(in an anticlockwise direction)by identifying v_(i)with the root of a rooted tree T_(i)of order n_(i)for each i=1,2,…,g,where n_(i)≥1 and∑^(g)_(i=1)n_(i)=n.In this note,the graph with the minimal least eigenvalue(and the graph with maximal spread)in C(T_(1),T_(2),…,T_(g))is determined. 展开更多
关键词 adjacency matrix least eigenvalue EIGENVECTOR unicyclic graph
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An Edge-rotating Theorem on the Least Eigenvalue of Graphs
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作者 Rui-fang LIU Hui-cai JIA Jin-long SHU 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2015年第4期945-952,共8页
Let G = (V(G), E(G)) be a simple connected graph of order n. For any vertices u, v, w ¢V(G) with uv ∈ E(G) and uw ¢ E(G), an edge-rotating of G means rotating the edge uv (around u) to the non-edge po... Let G = (V(G), E(G)) be a simple connected graph of order n. For any vertices u, v, w ¢V(G) with uv ∈ E(G) and uw ¢ E(G), an edge-rotating of G means rotating the edge uv (around u) to the non-edge position uw. In this work, we consider how the least eigenvalue of a graph perturbs when the graph is performed by rotating an edge from the shorter hanging path to the longer one. 展开更多
关键词 adjacency matrix least eigenvalue rotating an edge
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Minimal least eigenvalue of connected graphs of order n and size m=n+k(5≤k≤8)
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作者 Xin LI Jiming GUO Zhiwen WANG 《Frontiers of Mathematics in China》 SCIE CSCD 2019年第6期1213-1230,共18页
The least eigenvalue of a connected graph is the least eigenvalue of its adjacency matrix.We characterize the connected graphs of order n and size n+k(5≤k≤8 and n≥k+5)with the minimal least eigenvalue.
关键词 least eigenvalue adjacency matrix GRAPH
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Bounds for the Least Laplacian Eigenvalue of a Signed Graph 被引量:5
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作者 Yao Ping HOU 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2005年第4期955-960,共6页
A signed graph is a graph with a sign attached to each edge. This paper extends some fundamental concepts of the Laplacian matrices from graphs to signed graphs. In particular, the relationships between the least Lapl... A signed graph is a graph with a sign attached to each edge. This paper extends some fundamental concepts of the Laplacian matrices from graphs to signed graphs. In particular, the relationships between the least Laplacian eigenvalue and the unbalancedness of a signed graph are investigated. 展开更多
关键词 Signed graph Laplacian matrix The least eigenvalue Balanced signed graph
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A Monotonic Algorithm for Eigenvalue Optimization in Shape Design Problems of Multi-Density Inhomogeneous Materials
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作者 Zheng-fang Zhang Ke-wei Liang Xiao-liang Cheng 《Communications in Computational Physics》 SCIE 2010年第8期565-584,共20页
Many problems in engineering shape design involve eigenvalue optimizations.The relevant difficulty is that the eigenvalues are not continuously differentiable with respect to the density.In this paper,we are intereste... Many problems in engineering shape design involve eigenvalue optimizations.The relevant difficulty is that the eigenvalues are not continuously differentiable with respect to the density.In this paper,we are interested in the case of multi-density inhomogeneous materials which minimizes the least eigenvalue.With the finite element discretization,we propose a monotonically decreasing algorithm to solve the minimization problem.Some numerical examples are provided to illustrate the efficiency of the present algorithm as well as to demonstrate its availability for the case of more than two densities.As the computations are sensitive to the choice of the discretization mesh sizes,we adopt the refined mesh strategy,whose mesh grids are 25-times of the amount used in[S.Osher and F.Santosa,J.Comput.Phys.,171(2001),pp.272-288].We also show the significant reduction in computational cost with the fast convergence of this algorithm. 展开更多
关键词 Multi-density inhomogeneous materials the least eigenvalue optimization problem finite element method monotonic algorithm
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On the Spectral Spread of Bicyclic Graphs with Given Girth 被引量:1
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作者 Bing WANG Ming-qing ZHAI Jin-long SHU 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2013年第3期517-528,共12页
The spectral spread of a graph is defined to be the difference between the largest and the least eigenvalue of the adjacency matrix of the graph. A graph G is said to be bicyclic, if G is connected and |E(G)| = ... The spectral spread of a graph is defined to be the difference between the largest and the least eigenvalue of the adjacency matrix of the graph. A graph G is said to be bicyclic, if G is connected and |E(G)| = |V (G)| + 1. Let B(n, g) be the set of bicyclic graphs on n vertices with girth g. In this paper some properties about the least eigenvalues of graphs are given, by which the unique graph with maximal spectral spread in B(n, g) is determined. 展开更多
关键词 bicyclic graph least eigenvalue spectral spread
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