{"title":"New Bounds for the Optimal Density of Covering Single-Insertion Codes via the Turán Density","authors":"Oleg Pikhurko;Oleg Verbitsky;Maksim Zhukovskii","doi":"10.1109/TIT.2025.3557393","DOIUrl":null,"url":null,"abstract":"We prove that the density of any covering single-insertion code <inline-formula> <tex-math>$C\\subseteq X^{r}$ </tex-math></inline-formula> over the <italic>n</i>-symbol alphabet <italic>X</i> cannot be smaller than <inline-formula> <tex-math>$1/r+\\delta _{r}$ </tex-math></inline-formula> for some positive real <inline-formula> <tex-math>$\\delta _{r}$ </tex-math></inline-formula> not depending on <italic>n</i>. This improves the volume lower bound of <inline-formula> <tex-math>$1/(r+1)$ </tex-math></inline-formula>. On the other hand, we observe that, for all sufficiently large <italic>r</i>, if <italic>n</i> tends to infinity then the asymptotic upper bound of <inline-formula> <tex-math>$7/(r+1)$ </tex-math></inline-formula> due to Lenz et al. (2021) can be improved to <inline-formula> <tex-math>$4.911/(r+1)$ </tex-math></inline-formula>. Both the lower and the upper bounds are achieved by relating the code density to the Turán density from extremal combinatorics. For the last task, we use the analytic framework of measurable subsets of the real cube <inline-formula> <tex-math>$[{0,1}]^{r}$ </tex-math></inline-formula>.","PeriodicalId":13494,"journal":{"name":"IEEE Transactions on Information Theory","volume":"71 6","pages":"4260-4266"},"PeriodicalIF":2.2000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10948504","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Information Theory","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10948504/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
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 Turán density from extremal combinatorics. For the last task, we use the analytic framework of measurable subsets of the real cube $[{0,1}]^{r}$ .
期刊介绍:
The IEEE Transactions on Information Theory is a journal that publishes theoretical and experimental papers concerned with the transmission, processing, and utilization of information. The boundaries of acceptable subject matter are intentionally not sharply delimited. Rather, it is hoped that as the focus of research activity changes, a flexible policy will permit this Transactions to follow suit. Current appropriate topics are best reflected by recent Tables of Contents; they are summarized in the titles of editorial areas that appear on the inside front cover.