A Separation of NP and coNP in Multiparty Communication Complexity
Dmytro Gavinsky, Alexander A. Sherstov

TL;DR
This paper demonstrates a separation between NP and coNP in the multiparty communication complexity model, showing that NP is not equal to coNP for up to nearly log(n) players, using a new constructed function.
Contribution
It establishes the first separation of NP and coNP in the number-on-forehead model for more than two players, advancing understanding of complexity class distinctions in this setting.
Findings
NP differs from coNP in multiparty communication complexity
Constructed a function with low co-nondeterministic complexity and high Merlin-Arthur complexity
Proved the separation for up to (1-ε)log(n) players
Abstract
We prove that NP differs from coNP and coNP is not a subset of MA in the number-on-forehead model of multiparty communication complexity for up to k = (1-\epsilon)log(n) players, where \epsilon>0 is any constant. Specifically, we construct a function F with co-nondeterministic complexity O(log(n)) and Merlin-Arthur complexity n^{\Omega(1)}. The problem was open for k > 2.
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
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Cryptography and Data Security
