393,629 research outputs found

    Spotting Trees with Few Leaves

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    We show two results related to the Hamiltonicity and kk-Path algorithms in undirected graphs by Bj\"orklund [FOCS'10], and Bj\"orklund et al., [arXiv'10]. First, we demonstrate that the technique used can be generalized to finding some kk-vertex tree with ll leaves in an nn-vertex undirected graph in O(1.657k2l/2)O^*(1.657^k2^{l/2}) time. It can be applied as a subroutine to solve the kk-Internal Spanning Tree (kk-IST) problem in O(min(3.455k,1.946n))O^*(\min(3.455^k, 1.946^n)) time using polynomial space, improving upon previous algorithms for this problem. In particular, for the first time we break the natural barrier of O(2n)O^*(2^n). Second, we show that the iterated random bipartition employed by the algorithm can be improved whenever the host graph admits a vertex coloring with few colors; it can be an ordinary proper vertex coloring, a fractional vertex coloring, or a vector coloring. In effect, we show improved bounds for kk-Path and Hamiltonicity in any graph of maximum degree Δ=4,,12\Delta=4,\ldots,12 or with vector chromatic number at most 8

    Laplacian coefficients of unicyclic graphs with the number of leaves and girth

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    Let GG be a graph of order nn and let L(G,λ)=k=0n(1)kck(G)λnk\mathcal{L}(G,\lambda)=\sum_{k=0}^n (-1)^{k}c_{k}(G)\lambda^{n-k} be the characteristic polynomial of its Laplacian matrix. Motivated by Ili\'{c} and Ili\'{c}'s conjecture [A. Ili\'{c}, M. Ili\'{c}, Laplacian coefficients of trees with given number of leaves or vertices of degree two, Linear Algebra and its Applications 431(2009)2195-2202.] on all extremal graphs which minimize all the Laplacian coefficients in the set Un,l\mathcal{U}_{n,l} of all nn-vertex unicyclic graphs with the number of leaves ll, we investigate properties of the minimal elements in the partial set (Un,lg,)(\mathcal{U}_{n,l}^g, \preceq) of the Laplacian coefficients, where Un,lg\mathcal{U}_{n,l}^g denote the set of nn-vertex unicyclic graphs with the number of leaves ll and girth gg. These results are used to disprove their conjecture. Moreover, the graphs with minimum Laplacian-like energy in Un,lg\mathcal{U}_{n,l}^g are also studied.Comment: 19 page, 4figure

    Improved Bounds for Drawing Trees on Fixed Points with L-shaped Edges

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    Let TT be an nn-node tree of maximum degree 4, and let PP be a set of nn points in the plane with no two points on the same horizontal or vertical line. It is an open question whether TT always has a planar drawing on PP such that each edge is drawn as an orthogonal path with one bend (an "L-shaped" edge). By giving new methods for drawing trees, we improve the bounds on the size of the point set PP for which such drawings are possible to: O(n1.55)O(n^{1.55}) for maximum degree 4 trees; O(n1.22)O(n^{1.22}) for maximum degree 3 (binary) trees; and O(n1.142)O(n^{1.142}) for perfect binary trees. Drawing ordered trees with L-shaped edges is harder---we give an example that cannot be done and a bound of O(nlogn)O(n \log n) points for L-shaped drawings of ordered caterpillars, which contrasts with the known linear bound for unordered caterpillars.Comment: Appears in the Proceedings of the 25th International Symposium on Graph Drawing and Network Visualization (GD 2017

    Parameterized Algorithms for Directed Maximum Leaf Problems

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    We prove that finding a rooted subtree with at least kk leaves in a digraph is a fixed parameter tractable problem. A similar result holds for finding rooted spanning trees with many leaves in digraphs from a wide family L\cal L that includes all strong and acyclic digraphs. This settles completely an open question of Fellows and solves another one for digraphs in L\cal L. Our algorithms are based on the following combinatorial result which can be viewed as a generalization of many results for a `spanning tree with many leaves' in the undirected case, and which is interesting on its own: If a digraph DLD\in \cal L of order nn with minimum in-degree at least 3 contains a rooted spanning tree, then DD contains one with at least (n/2)1/51(n/2)^{1/5}-1 leaves

    The leafage of a chordal graph

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    The leafage l(G) of a chordal graph G is the minimum number of leaves of a tree in which G has an intersection representation by subtrees. We obtain upper and lower bounds on l(G) and compute it on special classes. The maximum of l(G) on n-vertex graphs is n - lg n - (1/2) lg lg n + O(1). The proper leafage l*(G) is the minimum number of leaves when no subtree may contain another; we obtain upper and lower bounds on l*(G). Leafage equals proper leafage on claw-free chordal graphs. We use asteroidal sets and structural properties of chordal graphs.Comment: 19 pages, 3 figure
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