The least distortion of embedding edit distance into l1
Theorem 1.1: there are absolute c,C>0 and d0 with exp(clogdloglogd)≤EΣ(d)≤exp(Clogdloglogd) for all d≥d0 and all finite ∣Σ∣≥2, so the Ostrovsky-Rabani scale is sharp up to constants in the exponent. The upper bound is Ostrovsky-Rabani's method made uniform over alphabets and lengths; the new content is the matching lower bound, given by three constructions across the family. The constants c,C are not determined, and nothing is said about computational efficiency.
Theorem 1.1: there are absolute c,C>0 and d0 with exp(clogdloglogd)≤EΣ(d)≤exp(Clogdloglogd) for all d≥d0 and all finite ∣Σ∣≥2, so the Ostrovsky-Rabani scale is sharp up to constants in the exponent. The upper bound is Ostrovsky-Rabani's method made uniform over alphabets and lengths; the new content is the matching lower bound, given by three constructions a…
Theorem 1.1: there are absolute c,C>0 and d0 with exp(clogdloglogd)≤EΣ(d)≤exp(Clogdloglogd) for all d≥d0 and all finite ∣Σ∣≥2, so the Ostrovsky-Rabani scale is sharp up to constants in the exponent. The upper bound is Ostrovsky-Rabani's method made uniform over alphabets and lengths; the new content is the matching lower bound, given by three constructions across the family. The constants c,C are not determined, and nothing is said about computational efficiency.
Theorem 1.1: there are absolute c,C>0 and d0 with exp(clogdloglogd)≤EΣ(d)≤exp(Clogdloglogd) for all d≥d0 and all finite ∣Σ∣≥2, so the Ostrovsky-Rabani scale is sharp up to constants in the exponent. The upper bound is Ostrovsky-Rabani's method made uniform over alphabets and lengths; the new content is the matching lower bound, given by three constructions across the family. The constants c,C are not determined, and nothing is said about computational efficiency.