Emergent Mind

Reconstructing Words from Right-Bounded-Block Words

(2001.11218)
Published Jan 30, 2020 in cs.FL , cs.DM , and math.CO

Abstract

A reconstruction problem of words from scattered factors asks for the minimal information, like multisets of scattered factors of a given length or the number of occurrences of scattered factors from a given set, necessary to uniquely determine a word. We show that a word $w \in {a, b}{*}$ can be reconstructed from the number of occurrences of at most $\min(|w|a, |w|b)+ 1$ scattered factors of the form $a{i} b$. Moreover, we generalize the result to alphabets of the form ${1,\ldots,q}$ by showing that at most $ \sum{q-1}_{i=1} |w|_i (q-i+1)$ scattered factors suffices to reconstruct $w$. Both results improve on the upper bounds known so far. Complexity time bounds on reconstruction algorithms are also considered here.

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