通过图兰密度计算覆盖单插码最优密度的新界限

Oleg Pikhurko, Oleg Verbitsky, Maksim Zhukovskii
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摘要

我们证明,对于某个不依赖于 $n$ 的正实数 $\delta_r$,在 $n$ 符号字母表 $X$ 上的任何覆盖单插入代码 $C\subseteqX^r$ 的密度不可能小于 $1/r+\delta_r$。这改进了$1/(r+1)$的体积下限。另一方面,我们观察到,对于所有足够大的 $r$,如果 $n$ 趋于无穷大,那么 Lenz 等人(2021 年)提出的渐近上限 $7/(r+1)$ 可以提高到 $4.911/(r+1)$。下限和上限都是通过将代码密度与极值组合学中的 Tur\'an 密度相关联来实现的。对于最后一项任务,我们使用了实立方$[0,1]^r$的可测子集的分析框架。
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New bounds for the optimal density of covering single-insertion codes via the Turán density
We prove that the density of any covering single-insertion code $C\subseteq X^r$ over the $n$-symbol alphabet $X$ cannot be smaller than $1/r+\delta_r$ for some positive real $\delta_r$ not depending on $n$. This improves the volume lower bound of $1/(r+1)$. On the other hand, we observe that, for all sufficiently large $r$, if $n$ tends to infinity then the asymptotic upper bound of $7/(r+1)$ due to Lenz et al (2021) can be improved to $4.911/(r+1)$. Both the lower and the upper bounds are achieved by relating the code density to the Tur\'an density from extremal combinatorics. For the last task, we use the analytic framework of measurable subsets of the real cube $[0,1]^r$.
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