Spectra of weighted uniform hypertrees

Abstract

Let T be a k-tree equipped with a weighting function : V(T) E(T)→ , where k ≥ 3. The weighted matching polynomial of the weighted k-tree (T,) is defined to be μ(T,,x)= ΣM ∈ M(T)(-1)|M|Πe ∈ E(M)w(e)k Πv ∈ V(T) V(M)(x-(v)), where M(T) denotes the set of matchings (including empty set) of T. In this paper, we investigate the eigenvalues of the adjacency tensor (T,) of the weighted k-tree (T,). The main result provides that (v) is an eigenvalue of (T,) for every v∈ V(T), and if λ≠ (v) for every v∈ V(T), then λ is an eigenvalue of (T,) if and only if there exists a subtree T' of T such that λ is a root of μ(T',,x). Moreover, the spectral radius of (T,) is equal to the largest root of μ(T,,x) when is real and nonnegative. The result extends a work by Clark and Cooper ( On the adjacency spectra of hypertrees, Electron. J. Combin., 25 (2)(2018) \#P2.48) to weighted k-trees. As applications, two analogues of the above work for the Laplacian and the signless Laplacian tensors of k-trees are obtained.

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