5,745 research outputs found

    On Minimum Saturated Matrices

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    Motivated by the work of Anstee, Griggs, and Sali on forbidden submatrices and the extremal sat-function for graphs, we introduce sat-type problems for matrices. Let F be a family of k-row matrices. A matrix M is called F-admissible if M contains no submatrix G\in F (as a row and column permutation of G). A matrix M without repeated columns is F-saturated if M is F-admissible but the addition of any column not present in M violates this property. In this paper we consider the function sat(n,F) which is the minimum number of columns of an F-saturated matrix with n rows. We establish the estimate sat(n,F)=O(n^{k-1}) for any family F of k-row matrices and also compute the sat-function for a few small forbidden matrices.Comment: 31 pages, included a C cod

    Saturation in the Hypercube and Bootstrap Percolation

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    Let QdQ_d denote the hypercube of dimension dd. Given dβ‰₯md\geq m, a spanning subgraph GG of QdQ_d is said to be (Qd,Qm)(Q_d,Q_m)-saturated if it does not contain QmQ_m as a subgraph but adding any edge of E(Qd)βˆ–E(G)E(Q_d)\setminus E(G) creates a copy of QmQ_m in GG. Answering a question of Johnson and Pinto, we show that for every fixed mβ‰₯2m\geq2 the minimum number of edges in a (Qd,Qm)(Q_d,Q_m)-saturated graph is Θ(2d)\Theta(2^d). We also study weak saturation, which is a form of bootstrap percolation. A spanning subgraph of QdQ_d is said to be weakly (Qd,Qm)(Q_d,Q_m)-saturated if the edges of E(Qd)βˆ–E(G)E(Q_d)\setminus E(G) can be added to GG one at a time so that each added edge creates a new copy of QmQ_m. Answering another question of Johnson and Pinto, we determine the minimum number of edges in a weakly (Qd,Qm)(Q_d,Q_m)-saturated graph for all dβ‰₯mβ‰₯1d\geq m\geq1. More generally, we determine the minimum number of edges in a subgraph of the dd-dimensional grid PkdP_k^d which is weakly saturated with respect to `axis aligned' copies of a smaller grid PrmP_r^m. We also study weak saturation of cycles in the grid.Comment: 21 pages, 2 figures. To appear in Combinatorics, Probability and Computin

    On Saturated kk-Sperner Systems

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    Given a set XX, a collection FβŠ†P(X)\mathcal{F}\subseteq\mathcal{P}(X) is said to be kk-Sperner if it does not contain a chain of length k+1k+1 under set inclusion and it is saturated if it is maximal with respect to this property. Gerbner et al. conjectured that, if ∣X∣|X| is sufficiently large with respect to kk, then the minimum size of a saturated kk-Sperner system FβŠ†P(X)\mathcal{F}\subseteq\mathcal{P}(X) is 2kβˆ’12^{k-1}. We disprove this conjecture by showing that there exists Ξ΅>0\varepsilon>0 such that for every kk and ∣X∣β‰₯n0(k)|X| \geq n_0(k) there exists a saturated kk-Sperner system FβŠ†P(X)\mathcal{F}\subseteq\mathcal{P}(X) with cardinality at most 2(1βˆ’Ξ΅)k2^{(1-\varepsilon)k}. A collection FβŠ†P(X)\mathcal{F}\subseteq \mathcal{P}(X) is said to be an oversaturated kk-Sperner system if, for every S∈P(X)βˆ–FS\in\mathcal{P}(X)\setminus\mathcal{F}, Fβˆͺ{S}\mathcal{F}\cup\{S\} contains more chains of length k+1k+1 than F\mathcal{F}. Gerbner et al. proved that, if ∣X∣β‰₯k|X|\geq k, then the smallest such collection contains between 2k/2βˆ’12^{k/2-1} and O(log⁑kk2k)O\left(\frac{\log{k}}{k}2^k\right) elements. We show that if ∣X∣β‰₯k2+k|X|\geq k^2+k, then the lower bound is best possible, up to a polynomial factor.Comment: 17 page
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