Separations between Combinatorial Measures for Transitive Functions
Sourav Chakraborty, Chandrima Kayal, Manaswi Paraashar

TL;DR
This paper investigates the differences between various combinatorial complexity measures for transitive Boolean functions, constructing specific examples to demonstrate these separations, which were previously known only for non-transitive functions.
Contribution
The authors modify existing non-transitive functions to create transitive functions that exhibit similar separations between combinatorial measures.
Findings
Constructed transitive functions demonstrating measure separations
Extended known separations from general to transitive functions
Provided methods to modify functions to achieve transitivity
Abstract
The role of symmetry in Boolean functions has been extensively studied in complexity theory. For example, symmetric functions, that is, functions that are invariant under the action of , is an important class of functions in the study of Boolean functions. A function is called transitive (or weakly-symmetric) if there exists a transitive group of such that is invariant under the action of - that is the function value remains unchanged even after the bits of the input of are moved around according to some permutation . Understanding various complexity measures of transitive functions has been a rich area of research for the past few decades. In this work, we study transitive functions in light of several combinatorial measures. We look at the maximum separation between various pairs of measures…
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Taxonomy
TopicsCoding theory and cryptography · semigroups and automata theory · Computability, Logic, AI Algorithms
