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arXiv 2007.12819math.COcs.DMmath.MGmath.PRmath.SP
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闭游走的支撑集与规范化邻接矩阵的第二特征值重数

Support of Closed Walks and Second Eigenvalue Multiplicity of the Normalized Adjacency Matrix

Theo McKenzie, Peter M. R. Rasmussen, Nikhil Srivastava

AI总结:

该研究给出了最大度Δ的连通图及d-正则图的规范化邻接矩阵第二特征值重数的上界,并通过随机闭游走支撑集的多项式下界及Perron特征向量的新下界完成证明。

摘要:

我们证明,对于任意最大度为Δ的连通图,其规范化邻接矩阵的第二特征值重数对任意Δ均满足上界O(n Δ^{7/5}/\log^{1/5-o(1)}n);对于d≥\log^{1/4}n的简单d-正则图,重数上界为O(n\log^{1/2}d/\log^{1/4-o(1)}n)。事实上,对于包含第二特征值λ₂、宽度为λ₂/\log_Δ^{1-o(1)}n的任意区间内的特征值数量,上述上界同样成立。证明的核心要素是:任意图中长度为2k的随机闭游走的典型支撑集存在关于k的多项式下界,该结论依赖于规范化邻接矩阵子矩阵的Perron特征向量分量的新下界。

英文摘要:

We show that the multiplicity of the second normalized adjacency matrix eigenvalue of any connected graph of maximum degree $Δ$ is bounded by $O(n Δ^{7/5}/\log^{1/5-o(1)}n)$ for any $Δ$, and by $O(n\log^{1/2}d/\log^{1/4-o(1)}n)$ for simple $d$-regular graphs when $d\ge \log^{1/4}n$. In fact, the same bounds hold for the number of eigenvalues in any interval of width $λ_2/\log_Δ^{1-o(1)}n$ containing the second eigenvalue $λ_2$. The main ingredient in the proof is a polynomial (in $k$) lower bound on the typical support of a closed random walk of length $2k$ in any connected graph, which in turn relies on new lower bounds for the entries of the Perron eigenvector of submatrices of the normalized adjacency matrix.

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