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arXiv 1901.03409math.COcs.DM
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Hamming空间中的图嵌入

Graph embeddings into Hamming spaces

Dominic van der Zypen

摘要:

图嵌入处理从给定的简单无向图$G=(V,E)$到度量空间的内射映射,例如具有欧几里德度量的$\mathbb{R}^n$。这个概念在计算机科学中被广泛研究,参见\cite{ge1},但在纯图论\cite{ge2}中也提供了有吸引力的研究。在这篇文章中,我们证明了任何图都可以嵌入到一个特别简单的度量空间:$\{0,1\}^n$与汉明距离,足够大的$n$。

英文摘要:

Graph embeddings deal with injective maps from a given simple, undirected graph $G=(V,E)$ into a metric space, such as $\mathbb{R}^n$ with the Euclidean metric. This concept is widely studied in computer science, see \cite{ge1}, but also offers attractive research in pure graph theory \cite{ge2}. In this note we show that any graph can be embedded into a particularly simple metric space: $\{0,1\}^n$ with the Hamming distance, for large enough $n$.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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