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引用次数: 0
摘要
图 G 上的存储代码是一组分配给顶点的符号,使得每个顶点都能通过查看其邻近顶点来恢复其值。我们考虑的问题是在作为二进制线性编码的余集图构建的无三角形图上构建大尺寸的存储编码。以前的研究表明,在余集图上存在无穷系列的二进制存储码,其速率收敛到 3/4。在这里,我们证明了这种图上的代码可以达到逐渐接近 1 的速率。这个问题可以等同于图上的猜帽游戏(例如,Cameron et al:Electron J Combin 23(1):48, 2016)。在这种语言中,我们构建了无三角形图,随着顶点数量趋于无穷大,玩家的成功概率接近于1。此外,寻找速率趋近于零的线性索引码也是一个等价问题。
Storage Codes on Coset Graphs with Asymptotically Unit Rate
A storage code on a graph G is a set of assignments of symbols to the vertices such that every vertex can recover its value by looking at its neighbors. We consider the question of constructing large-size storage codes on triangle-free graphs constructed as coset graphs of binary linear codes. Previously it was shown that there are infinite families of binary storage codes on coset graphs with rate converging to 3/4. Here we show that codes on such graphs can attain rate asymptotically approaching 1. Equivalently, this question can be phrased as a version of hat-guessing games on graphs (e.g., Cameron et al., in: Electron J Combin 23(1):48, 2016). In this language, we construct triangle-free graphs with success probability of the players approaching one as the number of vertices tends to infinity. Furthermore, finding linear index codes of rate approaching zero is also an equivalent problem.
期刊介绍:
COMBINATORICA publishes research papers in English in a variety of areas of combinatorics and the theory of computing, with particular emphasis on general techniques and unifying principles. Typical but not exclusive topics covered by COMBINATORICA are
- Combinatorial structures (graphs, hypergraphs, matroids, designs, permutation groups).
- Combinatorial optimization.
- Combinatorial aspects of geometry and number theory.
- Algorithms in combinatorics and related fields.
- Computational complexity theory.
- Randomization and explicit construction in combinatorics and algorithms.