An algorithmic approach to extending a theorem on extremal trees by Wang

Abstract

Let TD\mathcal{T}_D be the set containing all the trees corresponding to a given degree sequence DD and let RFR_\mathcal{F} be the graph invariant defined via RF=uvF(deg(u),deg(v)), R_\mathcal{F} = \sum_{u \sim v} \mathcal{F}(\mathrm{deg}(u), \mathrm{deg}(v)) , where the summing is performed across all the unordered pairs of adjacent vertices uu and vv, with F ⁣:N×NR\mathcal{F} \colon \mathbb{N} \times \mathbb{N} \to \mathbb{R} being a symmetric function such that \mathcal{F}(x, a) + \mathcal{F}(y, b) > \mathcal{F}(y, a) + \mathcal{F}(x, b) \quad \mbox{for any $x > y$ and $a > b$} . In an earlier paper, Wang [Cent. Eur. J. Math. 12 (2014) 1656-1663] demonstrated that the greedy tree must always attain the maximum RFR_\mathcal{F} value on TD\mathcal{T}_D, while an alternating greedy tree necessarily attains the minimum RFR_\mathcal{F} value on TD\mathcal{T}_D. In this paper, we implement an algorithmic approach in order to find the full solution set to both the RFR_\mathcal{F} maximization and RFR_\mathcal{F} minimization problem on TD\mathcal{T}_D. In other words, we determine all the trees from TD\mathcal{T}_D that attain the maximum RFR_\mathcal{F} value on this set, together with all the trees from TD\mathcal{T}_D that minimize the said graph invariant, thereby improving the aforementioned earlier result obtained by Wang

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