1,987 research outputs found

    Sufficient Conditions for Tuza's Conjecture on Packing and Covering Triangles

    Full text link
    Given a simple graph G=(V,E)G=(V,E), a subset of EE is called a triangle cover if it intersects each triangle of GG. Let νt(G)\nu_t(G) and τt(G)\tau_t(G) denote the maximum number of pairwise edge-disjoint triangles in GG and the minimum cardinality of a triangle cover of GG, respectively. Tuza conjectured in 1981 that τt(G)/νt(G)≤2\tau_t(G)/\nu_t(G)\le2 holds for every graph GG. In this paper, using a hypergraph approach, we design polynomial-time combinatorial algorithms for finding small triangle covers. These algorithms imply new sufficient conditions for Tuza's conjecture on covering and packing triangles. More precisely, suppose that the set TG\mathscr T_G of triangles covers all edges in GG. We show that a triangle cover of GG with cardinality at most 2νt(G)2\nu_t(G) can be found in polynomial time if one of the following conditions is satisfied: (i) νt(G)/∣TG∣≥13\nu_t(G)/|\mathscr T_G|\ge\frac13, (ii) νt(G)/∣E∣≥14\nu_t(G)/|E|\ge\frac14, (iii) ∣E∣/∣TG∣≥2|E|/|\mathscr T_G|\ge2. Keywords: Triangle cover, Triangle packing, Linear 3-uniform hypergraphs, Combinatorial algorithm

    Min-Max Theorems for Packing and Covering Odd (u,v)(u,v)-trails

    Full text link
    We investigate the problem of packing and covering odd (u,v)(u,v)-trails in a graph. A (u,v)(u,v)-trail is a (u,v)(u,v)-walk that is allowed to have repeated vertices but no repeated edges. We call a trail odd if the number of edges in the trail is odd. Let ν(u,v)\nu(u,v) denote the maximum number of edge-disjoint odd (u,v)(u,v)-trails, and τ(u,v)\tau(u,v) denote the minimum size of an edge-set that intersects every odd (u,v)(u,v)-trail. We prove that τ(u,v)≤2ν(u,v)+1\tau(u,v)\leq 2\nu(u,v)+1. Our result is tight---there are examples showing that τ(u,v)=2ν(u,v)+1\tau(u,v)=2\nu(u,v)+1---and substantially improves upon the bound of 88 obtained in [Churchley et al 2016] for τ(u,v)/ν(u,v)\tau(u,v)/\nu(u,v). Our proof also yields a polynomial-time algorithm for finding a cover and a collection of trails satisfying the above bounds. Our proof is simple and has two main ingredients. We show that (loosely speaking) the problem can be reduced to the problem of packing and covering odd (uv,uv)(uv,uv)-trails losing a factor of 2 (either in the number of trails found, or the size of the cover). Complementing this, we show that the odd-(uv,uv)(uv,uv)-trail packing and covering problems can be tackled by exploiting a powerful min-max result of [Chudnovsky et al 2006] for packing vertex-disjoint nonzero AA-paths in group-labeled graphs

    Some results on triangle partitions

    Full text link
    We show that there exist efficient algorithms for the triangle packing problem in colored permutation graphs, complete multipartite graphs, distance-hereditary graphs, k-modular permutation graphs and complements of k-partite graphs (when k is fixed). We show that there is an efficient algorithm for C_4-packing on bipartite permutation graphs and we show that C_4-packing on bipartite graphs is NP-complete. We characterize the cobipartite graphs that have a triangle partition

    QPTAS and Subexponential Algorithm for Maximum Clique on Disk Graphs

    Get PDF
    A (unit) disk graph is the intersection graph of closed (unit) disks in the plane. Almost three decades ago, an elegant polynomial-time algorithm was found for Maximum Clique on unit disk graphs [Clark, Colbourn, Johnson; Discrete Mathematics '90]. Since then, it has been an intriguing open question whether or not tractability can be extended to general disk graphs. We show the rather surprising structural result that a disjoint union of cycles is the complement of a disk graph if and only if at most one of those cycles is of odd length. From that, we derive the first QPTAS and subexponential algorithm running in time 2^{O~(n^{2/3})} for Maximum Clique on disk graphs. In stark contrast, Maximum Clique on intersection graphs of filled ellipses or filled triangles is unlikely to have such algorithms, even when the ellipses are close to unit disks. Indeed, we show that there is a constant ratio of approximation which cannot be attained even in time 2^{n^{1-epsilon}}, unless the Exponential Time Hypothesis fails
    • …
    corecore