Two-count interval representation of a permutation
Csaba Bir\'o, Andr\'e E. K\'ezdy, Jen\H{o} Lehel

TL;DR
This paper characterizes permutations with a 2-count interval representation, linking it to the longest decreasing subsequence, and explores implications for interval orders and their complexity.
Contribution
It provides a complete characterization of permutations with 2-count interval representations based on decreasing subsequences, and connects permutation representations to interval order properties.
Findings
Permutations with 2-count interval representations have longest decreasing subsequences of length at most 2.
Characterization for k ≥ 3 remains open due to counterexamples.
A height-3 interval order is 2-count if and only if it has depth at most 2.
Abstract
The interval count problem, a classical question in the study of interval orders, was introduced by Ronald Graham in the 1980s. This problem asks: given an interval order , what is the minimum number of distinct interval lengths required to construct an interval representation of ? Interval orders that can be represented with just one interval length are known as semiorders, and their characterizations are well known. However, the characterization of interval orders that require at most interval lengths -- termed -count interval orders -- remains an open and challenging problem for . Our investigation into -count interval orders led us naturally to consider a related problem, interval representations of permutations, which we introduce in this paper. Specifically, we characterize permutations that have a -count interval representation. We prove that a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBayesian Methods and Mixture Models · Algorithms and Data Compression · DNA and Biological Computing
