678 research outputs found

    Automated Discharging Arguments for Density Problems in Grids

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    Discharging arguments demonstrate a connection between local structure and global averages. This makes it an effective tool for proving lower bounds on the density of special sets in infinite grids. However, the minimum density of an identifying code in the hexagonal grid remains open, with an upper bound of 37≈0.428571\frac{3}{7} \approx 0.428571 and a lower bound of 512≈0.416666\frac{5}{12}\approx 0.416666. We present a new, experimental framework for producing discharging arguments using an algorithm. This algorithm replaces the lengthy case analysis of human-written discharging arguments with a linear program that produces the best possible lower bound using the specified set of discharging rules. We use this framework to present a lower bound of 2355≈0.418181\frac{23}{55} \approx 0.418181 on the density of an identifying code in the hexagonal grid, and also find several sharp lower bounds for variations on identifying codes in the hexagonal, square, and triangular grids.Comment: This is an extended abstract, with 10 pages, 2 appendices, 5 tables, and 2 figure

    Improved Bounds for rr-Identifying Codes of the Hex Grid

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    For any positive integer rr, an rr-identifying code on a graph GG is a set C⊂V(G)C\subset V(G) such that for every vertex in V(G)V(G), the intersection of the radius-rr closed neighborhood with CC is nonempty and pairwise distinct. For a finite graph, the density of a code is ∣C∣/∣V(G)∣|C|/|V(G)|, which naturally extends to a definition of density in certain infinite graphs which are locally finite. We find a code of density less than 5/(6r)5/(6r), which is sparser than the prior best construction which has density approximately 8/(9r)8/(9r).Comment: 12p

    An improved lower bound for (1,<=2)-identifying codes in the king grid

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    We call a subset CC of vertices of a graph GG a (1,≤ℓ)(1,\leq \ell)-identifying code if for all subsets XX of vertices with size at most ℓ\ell, the sets {c∈C∣∃u∈X,d(u,c)≤1}\{c\in C |\exists u \in X, d(u,c)\leq 1\} are distinct. The concept of identifying codes was introduced in 1998 by Karpovsky, Chakrabarty and Levitin. Identifying codes have been studied in various grids. In particular, it has been shown that there exists a (1,≤2)(1,\leq 2)-identifying code in the king grid with density 3/7 and that there are no such identifying codes with density smaller than 5/12. Using a suitable frame and a discharging procedure, we improve the lower bound by showing that any (1,≤2)(1,\leq 2)-identifying code of the king grid has density at least 47/111

    On Vertex Identifying Codes For Infinite Lattices

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    PhD Thesis--A compilation of the papers: "Lower Bounds for Identifying Codes in Some Infinite Grids", "Improved Bounds for r-identifying Codes of the Hex Grid", and "Vertex Identifying Codes for the n-dimensional Lattics" along with some other resultsComment: 91p

    Optimal local identifying and local locating-dominating codes

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    We introduce two new classes of covering codes in graphs for every positive integer rr. These new codes are called local rr-identifying and local rr-locating-dominating codes and they are derived from rr-identifying and rr-locating-dominating codes, respectively. We study the sizes of optimal local 1-identifying codes in binary hypercubes. We obtain lower and upper bounds that are asymptotically tight. Together the bounds show that the cost of changing covering codes into local 1-identifying codes is negligible. For some small nn optimal constructions are obtained. Moreover, the upper bound is obtained by a linear code construction. Also, we study the densities of optimal local 1-identifying codes and local 1-locating-dominating codes in the infinite square grid, the hexagonal grid, the triangular grid, and the king grid. We prove that seven out of eight of our constructions have optimal densities

    On lower bounds of various dominating codes for locating vertices in cubic graphs

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    Self-identifying codes, self-locating dominating codes and solid-locating dominating codes are three subsets of vertices of a graph G to locate vertices. The optimal size of them is denoted by γSID (G),γSLD (G) and γDLD (G). In the master thesis, we mainly discuss their lower bound problem in families of graphs. In the first section, we briefly describe the background of the study and some related questions. In the second, third and fourth section, we show some basic definitions, concepts and examples related to self-identifying codes (SID), self-locating dominating codes (SLD) and solid-locating dominating codes (DLD) in rook’s graphs. In the fifth section, we first introduce some known results of lower bounds of open-locating dominating codes in cubic graphs and then in the sixth section we present some new results about the lower bounds of self-identifying codes, self-locating dominating codes and solid-locating dominating codes in cubic graphs
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