• DocumentCode
    180734
  • Title

    Bi-Lipschitz Bijection between the Boolean Cube and the Hamming Ball

  • Author

    Benjamini, Itai ; Cohen, G. ; Shinkar, Igor

  • Author_Institution
    Dept. of Math., Weizmann Inst. of Sci., Rehovot, Israel
  • fYear
    2014
  • fDate
    18-21 Oct. 2014
  • Firstpage
    81
  • Lastpage
    89
  • Abstract
    We construct a bi-Lipschitz bijection from the Boolean cube to the Hamming ball of equal volume. More precisely, we show that for all even n E N there exists an explicit bijection ψ: {0, 1}n → {x E {0, 1}n+1 : |x| > n/2} such that for every x ≠ y E {0, 1}n+1 it holds that 1/5 ≤ dist(ψ(x), ψ(y)) ≤ 4 5 - dist(x, y) where dist(·, ·) denotes the Hamming distance. In particular, this implies that the Hamming ball is bi-Lipschitz transitive. This result gives a strong negative answer to an open problem of Lovett and Viola [CC 2012], who raised the question in the context of sampling distributions in low-level complexity classes. The conceptual implication is that the problem of proving lower bounds in the context of sampling distributions requires ideas beyond the sensitivity-based structural results of Boppana [IPL 97]. We study the mapping ψ further and show that it (and its inverse) are computable in DLOGTIME-uniform TC°, but not in AC°. Moreover, we prove that ψ is “approximately local” in the sense that all but the last output bit of ψ are essentially determined by a single input bit.
  • Keywords
    Boolean functions; computational complexity; sampling methods; statistical distributions; Boolean cube; DLOGTIME-uniform TC°; Hamming distance; approximately local ψ; biLipschitz bijection; biLipschitz transitive Hamming ball; explicit bijection; input bit; low-level complexity classes; lower bounds; sampling distributions; sensitivity-based structural analysis; Boolean functions; Complexity theory; Computer science; Context; Equations; Hamming distance; Partitioning algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science (FOCS), 2014 IEEE 55th Annual Symposium on
  • Conference_Location
    Philadelphia, PA
  • ISSN
    0272-5428
  • Type

    conf

  • DOI
    10.1109/FOCS.2014.17
  • Filename
    6978992