Abstract
The \({\textsc{And}}\) problem on t bits is a promise decision problem where either at most one bit of the input is set to 1 (No instance) or all t bits are set to 1 (\({\textsc{Yes}}\) instance). In this note, I will give a new proof of an Ω(1/t) lower bound on the information complexity of \({\textsc{And}}\) in the number-in-hand model of communication. This was recently established by Gronemeier, STACS 2009. The proof exploits the information geometry of communication protocols via Hellinger distance in a novel manner and avoids the analytic approach inherent in previous work. As previously known, this bound implies an Ω(n/t) lower bound on the communication complexity of multiparty disjointness and consequently a Ω(n 1 − 2/k) space lower bound on estimating the k-th frequency moment F k .
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Jayram, T.S. (2009). Hellinger Strikes Back: A Note on the Multi-party Information Complexity of AND. In: Dinur, I., Jansen, K., Naor, J., Rolim, J. (eds) Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques. APPROX RANDOM 2009 2009. Lecture Notes in Computer Science, vol 5687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03685-9_42
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DOI: https://doi.org/10.1007/978-3-642-03685-9_42
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