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Ubiquity of synonymity: almost all large binary trees are not uniquely identified by their spectra or their immanantal polynomials

机译:同义性的普遍性:几乎所有大型二叉树都无法通过其频谱或其固有的多项式来唯一标识

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摘要

BackgroundThere are several common ways to encode a tree as a matrix, such as the adjacency matrix, the Laplacian matrix (that is, the infinitesimal generator of the natural random walk), and the matrix of pairwise distances between leaves. Such representations involve a specific labeling of the vertices or at least the leaves, and so it is natural to attempt to identify trees by some feature of the associated matrices that is invariant under relabeling. An obvious candidate is the spectrum of eigenvalues (or, equivalently, the characteristic polynomial).
机译:背景技术有几种将树编码为矩阵的常见方法,例如邻接矩阵,拉普拉斯矩阵(即自然随机游动的无穷小生成器)以及叶子之间的成对距离矩阵。这样的表示涉及对顶点或至少叶子的特定标记,因此很自然地尝试通过相关矩阵的某些特征来识别树,该特征在重新标记下是不变的。一个明显的候选者是特征值的频谱(或者等效地,特征多项式)。

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