2020•ACM Transactions on Computation TheoryRequires access

Inner Product and Set Disjointness

Vladimir Vladimirovich Podolskii, Alexander A. Sherstov

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Abstract

A major goal in complexity theory is to understand the communication complexity of number-on-the-forehead problems f :({0, 1} n ) k → {0, 1} with k > log n parties. We study the problems of inner product and set disjointness and determine their randomized communication complexity for every k ≥ log n , showing in both cases that Θ(1 + ⌈log n ⌉/ log ⌈1 + k / log n ⌉) bits are necessary and sufficient. In particular, these problems admit constant-cost protocols if and only if the number of parties is k ≥ n ϵ for some constant ϵ > 0.

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A major goal in complexity theory is to understand the communication complexity of number-on-the-forehead problems f :({0, 1} n ) k → {0, 1} with k > log n parties. We study the problems of inner product and set disjointness and determine their randomized communication complexity for every k ≥ log n , showing in both cases that Θ(1 + ⌈log n ⌉/ log ⌈1 + k / log n ⌉) bits are necessary and sufficient. In particular, these problems admit constant-cost protocols if and only if the number of parties is k ≥ n ϵ for some constant ϵ > 0.

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Available abstract

A major goal in complexity theory is to understand the communication complexity of number-on-the-forehead problems f :({0, 1} n ) k → {0, 1} with k > log n parties. We study the problems of inner product and set disjointness and determine their randomized communication complexity for every k ≥ log n , showing in both cases that Θ(1 + ⌈log n ⌉/ log ⌈1 + k / log n ⌉) bits are necessary and sufficient. In particular, these problems admit constant-cost protocols if and only if the number of parties is k ≥ n ϵ for some constant ϵ > 0.

Key concepts: Mathematics, Communication complexity, Binary logarithm, Constant (computer programming), Combinatorics, Product (mathematics), Set (abstract data type), Log-log plot

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