On Disperser/Lifting Properties of the Index and Inner-Product Functions
Paul Beame, Sajin Koroth

TL;DR
This paper investigates the disperser and lifting properties of the Index and Inner-Product functions, disproves a key conjecture, and develops new lifting theorems with implications for proof complexity and communication protocols.
Contribution
It disproves a conjecture about the Index function's disperser property at certain sizes and introduces new lifting theorems for restricted protocols and proof complexity.
Findings
Disproves Lovett et al.'s conjecture for Index size $ o ext{log } N - ext{omega}(1)$
Inner-Product function lacks disperser property at size $ o ext{log } N - ext{omega}(1)$
Establishes a lifting theorem for protocols with parity-limited communication using Index gadgets of size ≥ 4
Abstract
Query-to-communication lifting theorems, which connect the query complexity of a Boolean function to the communication complexity of an associated `lifted' function obtained by composing the function with many copies of another function known as a gadget, have been instrumental in resolving many open questions in computational complexity. Several important complexity questions could be resolved if we could make substantial improvements in the input size required for lifting with the Index function, from its current near-linear size down to polylogarithmic in the number of inputs of the original function or, ideally, constant. The near-linear size bound was shown by Lovett, Meka, Mertz, Pitassi and Zhang using a recent breakthrough improvement on the Sunflower Lemma to show that a certain graph associated with the Index function of near-linear size is a disperser. They also stated 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
On disperser/lifting properties of the Index and Inner-Product functions· youtube
Taxonomy
TopicsComplexity and Algorithms in Graphs · Cryptography and Data Security · Advanced Graph Theory Research
