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The Distance Between the Adjacency Spectral Center and the Characteristic Set of a Tree

Chaochao Zhu, Shipei Hu, Jingfu Huang, Qin Yue

Source record

Source: arXiv

Published: Sep 15, 2026

arXiv: 2609.16943

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Source abstract

Let S(T)\mathcal S(T) be the adjacency spectral center of a tree TT, and let C(T)\mathcal C(T) be its characteristic set. We determine the largest possible separation d(T):=distT(S(T),C(T))d(T) := \operatorname{dist}_T(\mathcal{S}(T), \mathcal{C}(T)) among trees of every order n3n\ge3. Writing Δn:=maxV(T)=nd(T)Δ_n:=\max_{|V(T)|=n}d(T), we prove Δn=0(3n11),Δ12=1Δ_n=0\quad(3\le n\le11),\quad Δ_{12}=1, and Δn=n112(n13)Δ_n=\left\lfloor\frac{n-11}{2}\right\rfloor \quad(n\ge13). The argument rests on a simple opposition between two rooted-tree weights. An endpoint-rooted path minimizes adjacency spectral radius, but maximizes bottleneck Perron value. A one-sided replacement by a path therefore cannot decrease the distance between the two centers. Quantitatively, this gives the sharp estimate V(T)2d(T)+11(d(T)2)|V(T)|\ge 2d(T)+11 \quad(d(T)\ge2). A preliminary six-vertex barrier shows that disjoint center sets require at least twelve vertices, and the four-leaf broom is extremal for every n12n\ge12.

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The Distance Between the Adjacency Spectral Center and the Characteristic Set of a Tree — Mathematical Frontier Network