Optimally resilient codes for list-decoding from insertions and deletions
Venkatesan Guruswami, Bernhard Haeupler, Amirbehshad Shahrasbi
Abstract
We give a complete answer to the following basic question: “What is the maximal fraction of deletions or insertions tolerable by <inline-formula> <tex-math notation="LaTeX"> </tex-math></inline-formula>-ary list-decodable codes with non-vanishing information rate?” This question has been open even for binary codes, including the restriction to the binary insertion-only setting, where the best-known result was that a <inline-formula> <tex-math notation="LaTeX"> </tex-math></inline-formula> fraction of insertions is tolerable by some binary code family. For any desired <inline-formula> <tex-math notation="LaTeX"> </tex-math></inline-formula>, we construct a family of binary codes of positive rate which can be efficiently list-decoded from any combination of <inline-formula> <tex-math notation="LaTeX"> </tex-math></inline-formula> fraction of insertions and <inline-formula> <tex-math notation="LaTeX"> </tex-math></inline-formula> fraction of deletions as long as <inline-formula> <tex-math notation="LaTeX"> </tex-math></inline-formula>. On the other hand, for any <inline-formula> <tex-math notation="LaTeX"> </tex-math></inline-formula> with <inline-formula> <tex-math notation="LaTeX"> </tex-math></inline-formula> list-decoding is impossible. Our result thus precisely characterizes the feasibility region of binary list-decodable codes for insertions and deletions. We further generalize our result to codes over any finite alphabet of size <inline-formula> <tex-math notation="LaTeX"> </tex-math></inline-formula>. Surprisingly, our work reveals that the feasibility region for <inline-formula> <tex-math notation="LaTeX"> </tex-math></inline-formula> is <italic>not</italic> the natural generalization of the binary bound above. We provide tight upper and lower bounds that precisely pin down the feasibility region, which turns out to have a <inline-formula> <tex-math notation="LaTeX"> </tex-math></inline-formula>-piece-wise linear boundary whose <inline-formula> <tex-math notation="LaTeX"> </tex-math></inline-formula> corner-points lie on a quadratic curve. The main technical work in our results is proving the existence of code families of sufficiently large <italic>size</italic> with good list-decoding properties for any combination of <inline-formula> <tex-math notation="LaTeX"> </tex-math></inline-formula> within the claimed feasibility region. We achieve this via an intricate analysis of codes introduced by [Bukh and Ma, 2014]. Finally, we give a simple yet powerful concatenation scheme for list-decodable insertion-deletion codes which transforms any such (non-efficient) code family (with vanishing information rate) into an efficiently decodable code family with constant rate.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 6362f519-c752-448c-a5b1-979f2802ff6cCited by top-tier papers5
- Efficient Linear and Affine Codes for Correcting Insertions/DeletionsKuan Cheng, Venkatesan Guruswami, Bernhard Haeupler, Xin LiSODA 2021 · 19 citations
- Explicit two-deletion codes with redundancy matching the existential boundVenkatesan Guruswami, Johan HåstadSODA 2021 · 12 citations
- The zero-rate threshold for adversarial bit-deletions is less than 1/2Venkatesan Guruswami, Xiaoyu He, Ray LiFOCS 2021 · 6 citations
- Exponential Lower Bounds for Locally Decodable and Correctable Codes for Insertions and DeletionsJeremiah Blocki, Kuan Cheng, Elena Grigorescu, Xin Li et al.FOCS 2021 · 5 citations
- Approximate Trace Reconstruction from a Single TraceXi Chen, Anindya De, Chin Ho Lee, Rocco A. Servedio et al.SODA 2023 · 2 citations
Related papers
- Efficient list-decoding with constant alphabet and list sizesZeyu Guo, Noga Ron-ZewiSTOC 2021 · 21 citations
- Combinatorial list-decoding of Reed-Solomon codes beyond the Johnson radiusChong Shangguan, Itzhak TamoSTOC 2020 · 27 citations
- Improved Explicit Near-Optimal Codes in the High-Noise RegimesXin Li, Songtao MaoSODA 2025 · 1 citation
- AG codes have no list-decoding friends: Approaching the generalized Singleton bound requires exponential alphabetsOmar Alrabiah, Venkatesan Guruswami, Ray LiSODA 2024 · 6 citations
- Explicit Codes Approaching Generalized Singleton Bound using ExpandersFernando Granha Jeronimo, Tushant Mittal, Shashank Srivastava, Madhur TulsianiSTOC 2025 · 9 citations
