The Twelvefold Way of Non-Sequential Lossless Compression
Taha Ameen ur Rahman, Alton S. Barbehenn, Xinan Chen, Hassan Dbouk,, James A. Douglas, Yuncong Geng, Ian George, John B. Harvill, Sung Woo Jeon,, Kartik K. Kansal, Kiwook Lee, Kelly A. Levick, Bochao Li, Ziyue Li,, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, S. Yagiz Olmez

TL;DR
This paper explores lossless compression limits for various combinatorial invariances classified by the twelvefold way, providing explicit calculations and comparisons for different distributions.
Contribution
It introduces a comprehensive framework for lossless compression across twelve combinatorial invariance settings, extending beyond sequential data.
Findings
Explicit compression limits computed for all twelve settings.
Quantitative comparisons reveal differences among invariance types.
Provides a unified approach to non-sequential lossless compression.
Abstract
Many information sources are not just sequences of distinguishable symbols but rather have invariances governed by alternative counting paradigms such as permutations, combinations, and partitions. We consider an entire classification of these invariances called the twelvefold way in enumerative combinatorics and develop a method to characterize lossless compression limits. Explicit computations for all twelve settings are carried out for i.i.d. uniform and Bernoulli distributions. Comparisons among settings provide quantitative insight.
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