EXPECTED LENGTH OF THE LONGEST COMMON SUBSEQUENCE OF MULTIPLE STRINGS

Abstract We study the generalised Chvátal–Sankoff constant $\gamma _{k,d}$ , which represents the normalised expected length of the longest common subsequence of d independent uniformly random strings over an alphabet of size k . We derive asymptotically tight bounds for $\gamma _{2,d}$ , establishing that $\gamma _{2,d} = \tfrac 12 + \Theta ({1}/{\sqrt {d}})$ . We also derive asymptotically near-optimal bounds on $\gamma _{k,d}$ for $d\ge \Omega (\log k)$ .

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Publication Details

Journal
Bulletin of the Australian Mathematical Society
Published
2026-03-02
DOI
https://doi.org/10.1017/s000497272610104x
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

EXPECTED LENGTH OF THE LONGEST COMMON SUBSEQUENCE OF MULTIPLE STRINGS

RAY LI, WILLIAM REN, YIRAN WEN
Bulletin of the Australian Mathematical Society
Random Matrices and Applications
article

EXPECTED LENGTH OF THE LONGEST COMMON SUBSEQUENCE OF MULTIPLE STRINGS

RAY LI, WILLIAM REN, YIRAN WEN
article en

Abstract

Abstract We study the generalised Chvátal–Sankoff constant $\gamma _{k,d}$ , which represents the normalised expected length of the longest common subsequence of d independent uniformly random strings over an alphabet of size k . We derive asymptotically tight bounds for $\gamma _{2,d}$ , establishing that $\gamma _{2,d} = \tfrac 12 + \Theta ({1}/{\sqrt {d}})$ . We also derive asymptotically near-optimal bounds on $\gamma _{k,d}$ for $d\ge \Omega (\log k)$ .

Bulletin of the Australian Mathematical Society
Santa Clara University (US)
National Science Foundation
Openalex Percentile: Top 41%
Random Matrices and Applications
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