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Title: Linear sketching over F2
Authors: Kannan, Sampath
Mossel, Elchanan
Sanyal, Swagato
Yaroslavtsev, Grigory
Keywords: Linear Sketch
Streaming Algorithms
Issue Date: 2018
Source: Kannan, S., Mossel, E., Sanyal, S., & Yaroslavtsev, G. (2018). Linear sketching over F2. Leibniz International Proceedings in Informatics, 102, 8-. doi:10.4230/LIPIcs.CCC.2018.8
Series/Report no.: Leibniz International Proceedings in Informatics
Abstract: We initiate a systematic study of linear sketching over F_2. For a given Boolean function treated as f : F_2^n -> F_2 a randomized F_2-sketch is a distribution M over d x n matrices with elements over F_2 such that Mx suffices for computing f(x) with high probability. Such sketches for d << n can be used to design small-space distributed and streaming algorithms. Motivated by these applications we study a connection between F_2-sketching and a two-player one-way communication game for the corresponding XOR-function. We conjecture that F_2-sketching is optimal for this communication game. Our results confirm this conjecture for multiple important classes of functions: 1) low-degree F_2-polynomials, 2) functions with sparse Fourier spectrum, 3) most symmetric functions, 4) recursive majority function. These results rely on a new structural theorem that shows that F_2-sketching is optimal (up to constant factors) for uniformly distributed inputs. Furthermore, we show that (non-uniform) streaming algorithms that have to process random updates over F_2 can be constructed as F_2-sketches for the uniform distribution. In contrast with the previous work of Li, Nguyen and Woodruff (STOC'14) who show an analogous result for linear sketches over integers in the adversarial setting our result does not require the stream length to be triply exponential in n and holds for streams of length O(n) constructed through uniformly random updates.
DOI: 10.4230/LIPIcs.CCC.2018.8
Rights: © 2018 Sampath Kannan, Elchanan Mossel, Swagato Sanyal, and Grigory Yaroslavtsev; licensed under Creative Commons License CC-BY.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Journal Articles

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