当前位置: X-MOL 学术Random Struct. Algorithms › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Size of nodal domains of the eigenvectors of a graph
Random Structures and Algorithms ( IF 1 ) Pub Date : 2020-04-16 , DOI: 10.1002/rsa.20925
Han Huang 1 , Mark Rudelson 1
Affiliation  

Consider an eigenvector of the adjacency matrix of a G (n ,p ) graph. A nodal domain is a connected component of the set of vertices where this eigenvector has a constant sign. It is known that with high probability, there are exactly two nodal domains for each eigenvector corresponding to a nonleading eigenvalue. We prove that with high probability, the sizes of these nodal domains are approximately equal to each other.

中文翻译:

图特征向量的节点域大小

考虑Gnp)图的邻接矩阵的特征向量。节点域是该特征向量具有恒定符号的一组顶点的连接分量。众所周知,每个特征向量正好有两个节点域对应于一个非引导特征值。我们证明这些节点域的大小很有可能彼此相等。
更新日期:2020-04-16
down
wechat
bug