11 research outputs found

    Decomposing highly edge-connected graphs into homomorphic copies of a fixed tree

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    The Tree Decomposition Conjecture by Bar\'at and Thomassen states that for every tree TT there exists a natural number k(T)k(T) such that the following holds: If GG is a k(T)k(T)-edge-connected simple graph with size divisible by the size of TT, then GG can be edge-decomposed into subgraphs isomorphic to TT. So far this conjecture has only been verified for paths, stars, and a family of bistars. We prove a weaker version of the Tree Decomposition Conjecture, where we require the subgraphs in the decomposition to be isomorphic to graphs that can be obtained from TT by vertex-identifications. We call such a subgraph a homomorphic copy of TT. This implies the Tree Decomposition Conjecture under the additional constraint that the girth of GG is greater than the diameter of TT. As an application, we verify the Tree Decomposition Conjecture for all trees of diameter at most 4.Comment: 18 page

    Graph factors modulo <i>k</i>

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    Graph Decompositions

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    A Creative Review on Coprime (Prime) Graphs

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    Coprime labelings and Coprime graphs have been of interest since 1980s and got popularized by the Entringer-Tout Tree Conjecture. Around the same time Newman&apos;s coprime mapping conjecture was settled by Pomerance and Selfridge. This result was further extended to integers in arithmetic progression. Since then coprime graphs were studied for various combinatorial properties. Here, coprimality of graphs for classes of graphs under the themes: Bipartite with special attention to Acyclicity, Eulerian and Regularity. Extremal graphs under non-coprimality and Eulerian properties are studied. Embeddings of coprime graphs in the general graphs, the maximum coprime graph and the Eulerian coprime graphs are studied as subgraphs and induced subgraphs. The purpose of this review is to assimilate the available works on coprime graphs. The results in the context of these themes are reviewed including embeddings and extremal problems
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