173 research outputs found

    Decompositions into subgraphs of small diameter

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    We investigate decompositions of a graph into a small number of low diameter subgraphs. Let P(n,\epsilon,d) be the smallest k such that every graph G=(V,E) on n vertices has an edge partition E=E_0 \cup E_1 \cup ... \cup E_k such that |E_0| \leq \epsilon n^2 and for all 1 \leq i \leq k the diameter of the subgraph spanned by E_i is at most d. Using Szemer\'edi's regularity lemma, Polcyn and Ruci\'nski showed that P(n,\epsilon,4) is bounded above by a constant depending only \epsilon. This shows that every dense graph can be partitioned into a small number of ``small worlds'' provided that few edges can be ignored. Improving on their result, we determine P(n,\epsilon,d) within an absolute constant factor, showing that P(n,\epsilon,2) = \Theta(n) is unbounded for \epsilon n^{-1/2} and P(n,\epsilon,4) = \Theta(1/\epsilon) for \epsilon > n^{-1}. We also prove that if G has large minimum degree, all the edges of G can be covered by a small number of low diameter subgraphs. Finally, we extend some of these results to hypergraphs, improving earlier work of Polcyn, R\"odl, Ruci\'nski, and Szemer\'edi.Comment: 18 page

    Improved Bounds for the Graham-Pollak Problem for Hypergraphs

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    For a fixed rr, let fr(n)f_r(n) denote the minimum number of complete rr-partite rr-graphs needed to partition the complete rr-graph on nn vertices. The Graham-Pollak theorem asserts that f2(n)=n1f_2(n)=n-1. An easy construction shows that fr(n)(1+o(1))(nr/2)f_r(n) \leq (1+o(1))\binom{n}{\lfloor r/2 \rfloor}, and we write crc_r for the least number such that fr(n)cr(1+o(1))(nr/2)f_r(n) \leq c_r (1+o(1))\binom{n}{\lfloor r/2 \rfloor}. It was known that cr<1c_r < 1 for each even r4r \geq 4, but this was not known for any odd value of rr. In this short note, we prove that c295<1c_{295}<1. Our method also shows that cr0c_r \rightarrow 0, answering another open problem

    Combinatorial theorems relative to a random set

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    We describe recent advances in the study of random analogues of combinatorial theorems.Comment: 26 pages. Submitted to Proceedings of the ICM 201

    Three notions of tropical rank for symmetric matrices

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    We introduce and study three different notions of tropical rank for symmetric and dissimilarity matrices in terms of minimal decompositions into rank 1 symmetric matrices, star tree matrices, and tree matrices. Our results provide a close study of the tropical secant sets of certain nice tropical varieties, including the tropical Grassmannian. In particular, we determine the dimension of each secant set, the convex hull of the variety, and in most cases, the smallest secant set which is equal to the convex hull.Comment: 23 pages, 3 figure

    Hitting Forbidden Induced Subgraphs on Bounded Treewidth Graphs

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    For a fixed graph H, the H-IS-Deletion problem asks, given a graph G, for the minimum size of a set S ? V(G) such that G? S does not contain H as an induced subgraph. Motivated by previous work about hitting (topological) minors and subgraphs on bounded treewidth graphs, we are interested in determining, for a fixed graph H, the smallest function f_H(t) such that H-IS-Deletion can be solved in time f_H(t) ? n^{?(1)} assuming the Exponential Time Hypothesis (ETH), where t and n denote the treewidth and the number of vertices of the input graph, respectively. We show that f_H(t) = 2^{?(t^{h-2})} for every graph H on h ? 3 vertices, and that f_H(t) = 2^{?(t)} if H is a clique or an independent set. We present a number of lower bounds by generalizing a reduction of Cygan et al. [MFCS 2014] for the subgraph version. In particular, we show that when H deviates slightly from a clique, the function f_H(t) suffers a sharp jump: if H is obtained from a clique of size h by removing one edge, then f_H(t) = 2^{?(t^{h-2})}. We also show that f_H(t) = 2^{?(t^{h})} when H = K_{h,h}, and this reduction answers an open question of Mi. Pilipczuk [MFCS 2011] about the function f_{C?}(t) for the subgraph version. Motivated by Cygan et al. [MFCS 2014], we also consider the colorful variant of the problem, where each vertex of G is colored with some color from V(H) and we require to hit only induced copies of H with matching colors. In this case, we determine, under the ETH, the function f_H(t) for every connected graph H on h vertices: if h ? 2 the problem can be solved in polynomial time; if h ? 3, f_H(t) = 2^{?(t)} if H is a clique, and f_H(t) = 2^{?(t^{h-2})} otherwise

    Hitting forbidden induced subgraphs on bounded treewidth graphs

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    For a fixed graph HH, the HH-IS-Deletion problem asks, given a graph GG, for the minimum size of a set SV(G)S \subseteq V(G) such that GSG\setminus S does not contain HH as an induced subgraph. Motivated by previous work about hitting (topological) minors and subgraphs on bounded treewidth graphs, we are interested in determining, for a fixed graph HH, the smallest function fH(t)f_H(t) such that HH-IS-Deletion can be solved in time fH(t)nO(1)f_H(t) \cdot n^{O(1)} assuming the Exponential Time Hypothesis (ETH), where tt and nn denote the treewidth and the number of vertices of the input graph, respectively. We show that fH(t)=2O(th2)f_H(t) = 2^{O(t^{h-2})} for every graph HH on h3h \geq 3 vertices, and that fH(t)=2O(t)f_H(t) = 2^{O(t)} if HH is a clique or an independent set. We present a number of lower bounds by generalizing a reduction of Cygan et al. [MFCS 2014] for the subgraph version. In particular, we show that when HH deviates slightly from a clique, the function fH(t)f_H(t) suffers a sharp jump: if HH is obtained from a clique of size hh by removing one edge, then fH(t)=2Θ(th2)f_H(t) = 2^{\Theta(t^{h-2})}. We also show that fH(t)=2Ω(th)f_H(t) = 2^{\Omega(t^{h})} when H=Kh,hH=K_{h,h}, and this reduction answers an open question of Mi. Pilipczuk [MFCS 2011] about the function fC4(t)f_{C_4}(t) for the subgraph version. Motivated by Cygan et al. [MFCS 2014], we also consider the colorful variant of the problem, where each vertex of GG is colored with some color from V(H)V(H) and we require to hit only induced copies of HH with matching colors. In this case, we determine, under the ETH, the function fH(t)f_H(t) for every connected graph HH on hh vertices: if h2h\leq 2 the problem can be solved in polynomial time; if h3h\geq 3, fH(t)=2Θ(t)f_H(t) = 2^{\Theta(t)} if HH is a clique, and fH(t)=2Θ(th2)f_H(t) = 2^{\Theta(t^{h-2})} otherwise.Comment: 24 pages, 3 figure

    Counting Connected Partitions of Graphs

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    Motivated by the theorem of Gy\H ori and Lov\'asz, we consider the following problem. For a connected graph GG on nn vertices and mm edges determine the number P(G,k)P(G,k) of unordered solutions of positive integers i=1kmi=m\sum_{i=1}^k m_i = m such that every mim_i is realized by a connected subgraph HiH_i of GG with mim_i edges such that i=1kE(Hi)=E(G)\cup_{i=1}^kE(H_i)=E(G). We also consider the vertex-partition analogue. We prove various lower bounds on P(G,k)P(G,k) as a function of the number nn of vertices in GG, as a function of the average degree dd of GG, and also as the size CMCr(G)\mathrm{CMC}_r(G) of rr-partite connected maximum cuts of GG. Those three lower bounds are tight up to a multiplicative constant. We also prove that the number π(G,k)\pi(G,k) of unordered kk-tuples with i=1kni=n\sum_{i=1}^kn_i=n, that are realizable by vertex partitions into kk connected parts of respective sizes n1,n2,,nkn_1,n_2,\dots,n_k, is Ω(dk1)\Omega(d^{k-1})

    Vertex covers by monochromatic pieces - A survey of results and problems

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    This survey is devoted to problems and results concerning covering the vertices of edge colored graphs or hypergraphs with monochromatic paths, cycles and other objects. It is an expanded version of the talk with the same title at the Seventh Cracow Conference on Graph Theory, held in Rytro in September 14-19, 2014.Comment: Discrete Mathematics, 201

    Hamilton cycles in graphs and hypergraphs: an extremal perspective

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    As one of the most fundamental and well-known NP-complete problems, the Hamilton cycle problem has been the subject of intensive research. Recent developments in the area have highlighted the crucial role played by the notions of expansion and quasi-randomness. These concepts and other recent techniques have led to the solution of several long-standing problems in the area. New aspects have also emerged, such as resilience, robustness and the study of Hamilton cycles in hypergraphs. We survey these developments and highlight open problems, with an emphasis on extremal and probabilistic approaches.Comment: to appear in the Proceedings of the ICM 2014; due to given page limits, this final version is slightly shorter than the previous arxiv versio
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