Alternation, Sparsity and Sensitivity : Bounds and Exponential Gaps
Krishnamoorthy Dinesh, Jayalal Sarma

TL;DR
This paper explores the relationships between alternation, sparsity, and sensitivity in Boolean functions, establishing exponential gaps and proving the XOR Log-Rank Conjecture for functions with bounded alternation.
Contribution
It demonstrates exponential gaps between alternation and sensitivity/sparsity, and proves the XOR Log-Rank Conjecture for functions with polynomially bounded alternation.
Findings
Existence of Boolean functions with exponential alternation gaps
XOR Log-Rank Conjecture holds for functions with poly(log n) alternation
Exponential gap between alternation and decision tree complexity
Abstract
The well-known Sensitivity Conjecture states that for any Boolean function , block sensitivity of is at most polynomial in sensitivity of (denoted by ). The XOR Log-Rank Conjecture states that for any bit Boolean function, the communication complexity of a related function on bits, (defined as ) is at most polynomial in logarithm of the sparsity of (denoted by ). A recent result of Lin and Zhang (2017) implies that to confirm the above conjectures it suffices to upper bound alternation of (denoted ) for all Boolean functions by polynomial in and logarithm of , respectively. In this context, we show the following : * There exists a family of Boolean functions for which…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Cryptography and Data Security · Advanced Graph Theory Research
