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Temporal matching in trees

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arXiv:2606.06439v1 Announce Type: new Abstract: We study maximum matching problems in temporal graphs whose underlying graph is a tree. We consider two temporal models. In a $\Delta$-matching, selected time edges sharing an endpoint must have time ticks differing by at least $\Delta$. In a $\gamma$-matching, the selected objects are blocks of $\gamma$ consecutive appearances of the same underlying edge.

arXiv:2606.06439v1 Announce Type: new Abstract: We study maximum matching problems in temporal graphs whose underlying graph is a tree. We consider two temporal models. In a $\Delta$-matching, selected time edges sharing an endpoint must have time ticks differing by at least $\Delta$. In a $\gamma$-matching, the selected objects are blocks of $\gamma$ consecutive appearances of the same underlying edge. We also consider the related ordered static problem of $d$-distance matchings. We show that maximum $\Delta$-matching remains NP-hard on temporal trees for every $\Delta\geq 2$, even in the sparse case where each edge appears at most twice. Using a reduction between the temporal models, we obtain the analogous result for maximum $\gamma$-matching on temporal trees, even when each edge admits at most two $\gamma$-edges. We also show, via a reduction from $d$-distance matching, that maximum $\gamma$-matching is APX-hard even when the underlying graph is bipartite. Complementing these hardness results, we identify several tractable cases. We prove that maximum $\Delta$-matching is polynomial-time solvable on temporal trees in which every edge appears exactly once, and that maximum $\gamma$-matching is polynomial-time solvable when each edge admits at most one $\gamma$-edge. We also give dynamic-programming algorithms under bounded local-use and local-sparsity assumptions, and derive polynomial-time solvability of maximum $d$-distance matching when the input bipartite graph is a tree. Finally, we prove that both maximum $\Delta$-matching and maximum $\gamma$-matching admit polynomial-time approximation schemes on temporal trees.
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