Eigenvalue estimates for the Laplacian on a metric tree
classification
🧮 math.SP
math-phmath.MP
keywords
averageeigenvalueestimateslaplacianlengthmetricspectraltree
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We provide explicit upper bounds for the eigenvalues of the Laplacian on a finite metric tree subject to standard vertex conditions. The results include estimates depending on the average length of the edges or the diameter. In particular, we establish a sharp upper bound for the spectral gap, i.e. the smallest positive eigenvalue, and show that equilateral star graphs are the unique maximizers of the spectral gap among all trees of a given average length.
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