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Succinct Encodings for Families of Interval Graphs
Journal article   Open access   Peer reviewed

Succinct Encodings for Families of Interval Graphs

Huseyin Acan, Sankardeep Chakraborty, Seungbum Jo and Srinivasa Rao Satti
Algorithmica, v 83(3), pp 776-794
01 Mar 2021
url
https://ntnuopen.ntnu.no/ntnu-xmlui/bitstream/11250/3033291/4/Interval_algorithmica.pdfView

Abstract

Computer Science Computer Science, Software Engineering Mathematics Mathematics, Applied Physical Sciences Science & Technology Technology
We consider the problem of designing succinct data structures for interval graphs with n vertices while supporting degree, adjacency, neighborhood and shortest path queries in optimal time. Towards showing succinctness, we first show that at least n log 2 n - 2n log 2 log 2 n - O(n) bits are necessary to represent any unlabeled interval graph G with n vertices, answering an open problem of Yang and Pippenger (Proc Am Math Soc Ser B 4(1):1-3, 2017). This is augmented by a data structure of size n log 2 n + O(n) bits while supporting not only the above queries optimally but also capable of executing various combinatorial algorithms (like proper coloring, maximum independent set etc.) on interval graphs efficiently. Finally, we extend our ideas to other variants of interval graphs, for example, proper/unit interval graphs, k-improper interval graphs, and circular-arc graphs, and design succinct data structures for these graph classes as well along with supporting queries on them efficiently.

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Computer Science, Software Engineering
Mathematics, Applied
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