Near-Optimal Upper Bound on Fourier Dimension of Boolean Functions in Terms of Fourier Sparsity

التفاصيل البيبلوغرافية
العنوان: Near-Optimal Upper Bound on Fourier Dimension of Boolean Functions in Terms of Fourier Sparsity
المؤلفون: Swagato Sanyal
المصدر: Automata, Languages, and Programming ISBN: 9783662476710
ICALP (1)
بيانات النشر: Springer Berlin Heidelberg, 2015.
سنة النشر: 2015
مصطلحات موضوعية: TheoryofComputation_MISCELLANEOUS, Combinatorics, symbols.namesake, Fourier transform, Fourier analysis, Discrete-time Fourier transform, Discrete Fourier series, Fourier inversion theorem, symbols, Fourier series, Upper and lower bounds, Mathematics, Sine and cosine transforms
الوصف: We prove that the Fourier dimension of any Boolean function with Fourier sparsity \(s\) is at most \(O\left( \sqrt{s} \log s\right) \). This bound is tight up to a factor of \(O(\log s)\) as the Fourier dimension and sparsity of the addressing function are quadratically related. We obtain our result by bounding the non-adaptive parity decision tree complexity, which is known to be equivalent to the Fourier dimension. A consequence of our result is that XOR functions have a one way deterministic communication protocol of communication complexity \(O(\sqrt{r} \log r)\), where \(r\) is the rank of its communication matrix.
ردمك: 978-3-662-47671-0
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::4adaa5d717114743d521183f64fc12b3
https://doi.org/10.1007/978-3-662-47672-7_84
رقم الأكسشن: edsair.doi...........4adaa5d717114743d521183f64fc12b3
قاعدة البيانات: OpenAIRE