A Lower Bound for Sampling Disjoint Sets
Suppose Alice and Bob each start with private randomness and no other input, and they wish to engage in a protocol in which Alice ends up with a set x ⊆ [ n ] and Bob ends up with a set y ⊆ [ n ], such that ( x , y ) is uniformly distributed over all pairs of disjoint sets. We prove that for some co...
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Veröffentlicht in: | ACM transactions on computation theory 2020-07, Vol.12 (3), p.1-13 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Suppose Alice and Bob each start with private randomness and no other input, and they wish to engage in a protocol in which Alice ends up with a set
x
⊆ [
n
] and Bob ends up with a set
y
⊆ [
n
], such that (
x
,
y
) is uniformly distributed over all pairs of disjoint sets. We prove that for some constant β < 1, this requires Ω (
n
) communication even to get within statistical distance 1− β
n
of the target distribution. Previously, Ambainis, Schulman, Ta-Shma, Vazirani, and Wigderson (FOCS 1998) proved that Ω (√
n
) communication is required to get within some constant statistical distance ɛ > 0 of the uniform distribution over all pairs of disjoint sets of size √
n
. |
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ISSN: | 1942-3454 1942-3462 |
DOI: | 10.1145/3404858 |