Some New Results on Sequence Reconstruction Problem for Deletion Channels

📅 2026-01-10
🏛️ arXiv.org
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
This study addresses the problem of determining the maximum size $ N(n,3,t) $ of the intersection of two metric balls of radius $ t $ in the deletion channel, whose centers are at least distance 3 apart. Through combinatorial analysis and constructive proofs, the authors establish a general lower bound for $ N(n,3,t) $ when $ n \geq 13 $ and $ t \geq 4 $. Notably, they prove for the first time that this bound is tight when $ t = 4 $, thereby exactly characterizing $ N(n,3,4) = 20n - 166 $. This result resolves an open problem posed by Pham, Goyal, and Kiah, providing a closed-form solution for a critical parameter regime in sequence reconstruction theory.

Technology Category

Application Category

📝 Abstract
Levenshtein first introduced the sequence reconstruction problem in $2001$. In the realm of combinatorics, the sequence reconstruction problem is equivalent to determining the value of $N(n,d,t)$, which represents the maximum size of the intersection of two metric balls of radius $t$, given that the distance between their centers is at least $d$ and the sequence length is $n$. In this paper, We present a lower bound on $N(n,3,t)$ for $n\geq 13$ and $t \geq 4$. For $t=4$, we prove that this lower bound is tight. This settles an open question posed by Pham, Goyal, and Kiah, confirming that $N(n,3,4)=20n-166$ for all $n \geq 13$.
Problem

Research questions and friction points this paper is trying to address.

sequence reconstruction
deletion channels
metric balls
combinatorics
intersection size
Innovation

Methods, ideas, or system contributions that make the work stand out.

sequence reconstruction
deletion channels
metric balls
combinatorial bounds
Levenshtein problem
🔎 Similar Papers
No similar papers found.