25,570 research outputs found

    An algebraic formulation of the graph reconstruction conjecture

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    The graph reconstruction conjecture asserts that every finite simple graph on at least three vertices can be reconstructed up to isomorphism from its deck - the collection of its vertex-deleted subgraphs. Kocay's Lemma is an important tool in graph reconstruction. Roughly speaking, given the deck of a graph GG and any finite sequence of graphs, it gives a linear constraint that every reconstruction of GG must satisfy. Let ψ(n)\psi(n) be the number of distinct (mutually non-isomorphic) graphs on nn vertices, and let d(n)d(n) be the number of distinct decks that can be constructed from these graphs. Then the difference ψ(n)d(n)\psi(n) - d(n) measures how many graphs cannot be reconstructed from their decks. In particular, the graph reconstruction conjecture is true for nn-vertex graphs if and only if ψ(n)=d(n)\psi(n) = d(n). We give a framework based on Kocay's lemma to study this discrepancy. We prove that if MM is a matrix of covering numbers of graphs by sequences of graphs, then d(n)rankR(M)d(n) \geq \mathsf{rank}_\mathbb{R}(M). In particular, all nn-vertex graphs are reconstructible if one such matrix has rank ψ(n)\psi(n). To complement this result, we prove that it is possible to choose a family of sequences of graphs such that the corresponding matrix MM of covering numbers satisfies d(n)=rankR(M)d(n) = \mathsf{rank}_\mathbb{R}(M).Comment: 12 pages, 2 figure

    Embedding bounded degree spanning trees in random graphs

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    We prove that if a tree TT has nn vertices and maximum degree at most Δ\Delta, then a copy of TT can almost surely be found in the random graph G(n,Δlog5n/n)\mathcal{G}(n,\Delta\log^5 n/n).Comment: 14 page

    Schnyder decompositions for regular plane graphs and application to drawing

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    Schnyder woods are decompositions of simple triangulations into three edge-disjoint spanning trees crossing each other in a specific way. In this article, we define a generalization of Schnyder woods to dd-angulations (plane graphs with faces of degree dd) for all d3d\geq 3. A \emph{Schnyder decomposition} is a set of dd spanning forests crossing each other in a specific way, and such that each internal edge is part of exactly d2d-2 of the spanning forests. We show that a Schnyder decomposition exists if and only if the girth of the dd-angulation is dd. As in the case of Schnyder woods (d=3d=3), there are alternative formulations in terms of orientations ("fractional" orientations when d5d\geq 5) and in terms of corner-labellings. Moreover, the set of Schnyder decompositions on a fixed dd-angulation of girth dd is a distributive lattice. We also show that the structures dual to Schnyder decompositions (on dd-regular plane graphs of mincut dd rooted at a vertex vv^*) are decompositions into dd spanning trees rooted at vv^* such that each edge not incident to vv^* is used in opposite directions by two trees. Additionally, for even values of dd, we show that a subclass of Schnyder decompositions, which are called even, enjoy additional properties that yield a reduced formulation; in the case d=4, these correspond to well-studied structures on simple quadrangulations (2-orientations and partitions into 2 spanning trees). In the case d=4, the dual of even Schnyder decompositions yields (planar) orthogonal and straight-line drawing algorithms. For a 4-regular plane graph GG of mincut 4 with nn vertices plus a marked vertex vv, the vertices of G\vG\backslash v are placed on a (n1)×(n1)(n-1) \times (n-1) grid according to a permutation pattern, and in the orthogonal drawing each of the 2n22n-2 edges of G\vG\backslash v has exactly one bend. Embedding also the marked vertex vv is doable at the cost of two additional rows and columns and 8 additional bends for the 4 edges incident to vv. We propose a further compaction step for the drawing algorithm and show that the obtained grid-size is strongly concentrated around 25n/32×25n/3225n/32\times 25n/32 for a uniformly random instance with nn vertices

    Sharp threshold for embedding combs and other spanning trees in random graphs

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    When knk|n, the tree Combn,k\mathrm{Comb}_{n,k} consists of a path containing n/kn/k vertices, each of whose vertices has a disjoint path length k1k-1 beginning at it. We show that, for any k=k(n)k=k(n) and ϵ>0\epsilon>0, the binomial random graph G(n,(1+ϵ)logn/n)\mathcal{G}(n,(1+\epsilon)\log n/ n) almost surely contains Combn,k\mathrm{Comb}_{n,k} as a subgraph. This improves a recent result of Kahn, Lubetzky and Wormald. We prove a similar statement for a more general class of trees containing both these combs and all bounded degree spanning trees which have at least ϵn/log9n\epsilon n/ \log^9n disjoint bare paths length log9n\lceil\log^9 n\rceil. We also give an efficient method for finding large expander subgraphs in a binomial random graph. This allows us to improve a result on almost spanning trees by Balogh, Csaba, Pei and Samotij.Comment: 20 page
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