Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1250790.1250834acmconferencesArticle/Chapter ViewAbstractPublication PagesstocConference Proceedingsconference-collections
Article

Separating AC0 from depth-2 majority circuits

Published: 11 June 2007 Publication History

Abstract

We prove that AC0 cannot be efficiently simulated by MAJºMAJ circuits. Namely, we construct an AC0 circuit of depth 3 that requires MAJºMAJ circuits of size 2Ω(n1/5). This matches Allender's classic result that AC0 can be simulated by MAJºMAJºMAJ circuits of quasipolynomial size.
Our proof is based on communication complexity. To obtain the above result, we develop a novel technique for communication lower bounds, the Degree/Discrepancy Theorem. This technique is a separate contribution of our paper. It translates lower bounds on the threshold degree of a Boolean function into upper bounds on the discrepancy of a related function. Upper bounds on the discrepancy, in turn, immediately imply communication lower bounds as well as lower bounds against threshold circuits.
As part of our proof, we use the Degree/Discrepancy Theorem to obtain an explicit AC0 circuit of depth 3 that has discrepancy 2-Ω(n1/5), under an explicit distribution. This yields the first known AC0 function with exponentially small discrepancy. Finally, we apply our work to learning theory, showing that polynomial-size DNF and CNF formulas have margin complexity 2Ω(n1/5).

References

[1]
E. Allender. A note on the power of threshold circuits. In FOCS, pages 580--584, 1989.
[2]
J. Aspnes, R. Beigel, M. Furst, and S. Rudich. The expressive power of voting polynomials. In STOC '91: Proceedings of the twenty-third annual ACM symposium on Theory of computing, pages 402--409, New York, NY, USA, 1991. ACM Press.
[3]
H. Buhrman, N.K. Vereshchagin, and R. de Wolf. On computation and communication with small bias. In 22nd IEEE Conference on Computational Complexity, 2007.
[4]
J. Ford and A. Gál. Hadamard tensors and lower bounds on multiparty communication complexity. In ICALP, pages 1163--1175, 2005.
[5]
J. Forster, M. Krause, S.V. Lokam, R. Mubarakzjanov, N. Schmitt, and H.-U. Simon. Relations between communication complexity, linear arrangements, and computational complexity. In FST TCS '01: Proceedings of the 21st Conference on Foundations of Software Technology and Theoretical Computer Science, pages 171--182, London, UK, 2001. Springer-Verlag.
[6]
M. Goldmann, J. Håstad, and A.A. Razborov. Majority gates vsgeneral weighted threshold gates. Computational Complexity, 2:277--300, 1992.
[7]
M. Goldmann and M. Karpinski. Simulating threshold circuits by majority circuits. SIAM J. Comput., 27(1):230--246, 1998.
[8]
A.R. Klivans and R. Servedio. Learning DNF in time 2O(n1/3). In STOC '01: Proceedings of the thirty-third annual ACM symposium on Theory of computing, pages 258--265, New York, NY, USA, 2001. ACM Press.
[9]
A.R. Klivans and R.A. Servedio. Learning intersections of halfspaces with a margin. In COLT, pages 348--362, 2004.
[10]
A.R. Klivans and A.A. Sherstov. Improved lower bounds for learning intersections of halfspaces. In Proceedings of the 19th Annual Conference on Learning Theory (COLT), Pittsburg, USA, June 2006.
[11]
M. Krause and P. Pudlák. On the computational power of depth 2 circuits with threshold and modulo gates. In STOC '94: Proceedings of the twenty-sixth annual ACM symposium on Theory of computing, pages 48--57, New York, NY, USA, 1994. ACM Press.
[12]
M. Krause and P. Pudlák. Computing Boolean functions by polynomials and threshold circuits. Comput. Complex., 7(4):346--370, 1998.
[13]
E. Kushilevitz and N. Nisan. Communication complexity. Cambridge University Press, New York, NY, USA, 1997.
[14]
N. Linial and A. Shraibman. Lower bounds in communication complexity based on factorization norms. Manuscript at http://www.cs.huji.ac.il/~nati/PAPERS/quant_cc.pdf, June 2006.
[15]
M.L. Minsky and S.A. Papert. Perceptrons: expanded edition. MIT Press, Cambridge, MA, USA, 1988.
[16]
N. Nisan. The communication complexity of threshold gates. In Proceedings of "Combinatorics, Paul Erdos is Eighty", pages 301--315, 1993.
[17]
A.B.J. Novikoff. On convergence proofs on perceptrons. In Proceedings of the Symposium on the Mathematical Theory of Automata, volume XII, pages 615--622, 1962.
[18]
R. O'Donnell and R.A. Servedio. Extremal properties of polynomial threshold functions. In IEEE Conference on Computational Complexity, pages 3--12, 2003.
[19]
R. O'Donnell and R.A. Servedio. New degree bounds for polynomial threshold functions. In STOC '03: Proceedings of the thirty-fifth annual ACM symposium on Theory of computing, pages 325--334, New York, NY, USA, 2003. ACM Press.
[20]
R. Paturi and J. Simon. Probabilistic communication complexity. J. Comput. Syst. Sci., 33(1):106--123, 1986.
[21]
R. Raz. The BNS-Chung criterion for multi-party communication complexity. Comput. Complex., 9(2):113--122, 2000.
[22]
A.A. Razborov. On the distributional complexity of disjointness. Theor. Comput. Sci., 106(2):385--390, 1992.
[23]
A. Schrijver. Theory of linear and integer programming. John Wiley & Sons, Inc., New York, NY, USA, 1998.
[24]
K.-Y. Siu and V.P. Roychowdhury. On optimal depth threshold circuits for multiplication and related problems. SIAM J. Discrete Math., 7(2):284--292, 1994.

Cited By

View all
  • (2024)Trade-Offs Between Energy and Depth of Neural NetworksNeural Computation10.1162/neco_a_0168336:8(1541-1567)Online publication date: 19-Jul-2024
  • (2018)A PRG for boolean PTF of degree 2 with seed length subpolynomial in ϵ and logarithmic in nProceedings of the 33rd Computational Complexity Conference10.5555/3235586.3235588(1-24)Online publication date: 22-Jun-2018
  • (2016)Majority Normal Form Representation and SatisfiabilityNew Data Structures and Algorithms for Logic Synthesis and Verification10.1007/978-3-319-43174-1_5(121-133)Online publication date: 3-Aug-2016
  • Show More Cited By

Index Terms

  1. Separating AC0 from depth-2 majority circuits

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    STOC '07: Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
    June 2007
    734 pages
    ISBN:9781595936318
    DOI:10.1145/1250790
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 11 June 2007

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. AC0
    2. communication complexity
    3. discrepancy
    4. threshold circuits

    Qualifiers

    • Article

    Conference

    STOC07
    Sponsor:
    STOC07: Symposium on Theory of Computing
    June 11 - 13, 2007
    California, San Diego, USA

    Acceptance Rates

    Overall Acceptance Rate 1,469 of 4,586 submissions, 32%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)5
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 03 Oct 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Trade-Offs Between Energy and Depth of Neural NetworksNeural Computation10.1162/neco_a_0168336:8(1541-1567)Online publication date: 19-Jul-2024
    • (2018)A PRG for boolean PTF of degree 2 with seed length subpolynomial in ϵ and logarithmic in nProceedings of the 33rd Computational Complexity Conference10.5555/3235586.3235588(1-24)Online publication date: 22-Jun-2018
    • (2016)Majority Normal Form Representation and SatisfiabilityNew Data Structures and Algorithms for Logic Synthesis and Verification10.1007/978-3-319-43174-1_5(121-133)Online publication date: 3-Aug-2016
    • (2010)Composition theorems in communication complexityProceedings of the 37th international colloquium conference on Automata, languages and programming10.5555/1880918.1880971(475-489)Online publication date: 6-Jul-2010
    • (2010)Небольшое уменьшение степени многочлена с заданной знаковой функцией может экспоненциально увеличить его вес и длинуA Small Decrease in the Degree of a Polynomial with a Given Sign Function Can Exponentially Increase Its Weight and LengthМатематические заметкиMatematicheskie Zametki10.4213/mzm873487:6(885-899)Online publication date: 2010
    • (2010)The story of set disjointnessACM SIGACT News10.1145/1855118.185513341:3(59-85)Online publication date: 3-Sep-2010
    • (2010)Hardness amplification in proof complexityProceedings of the forty-second ACM symposium on Theory of computing10.1145/1806689.1806703(87-96)Online publication date: 5-Jun-2010
    • (2009)Multiparty Communication Complexity and Threshold Circuit Size of AC^02009 50th Annual IEEE Symposium on Foundations of Computer Science10.1109/FOCS.2009.12(53-62)Online publication date: Oct-2009
    • (2009)On the Communication Complexity of Read-Once AC^0 FormulaeProceedings of the 2009 24th Annual IEEE Conference on Computational Complexity10.1109/CCC.2009.39(329-340)Online publication date: 15-Jul-2009
    • (2009)Lower Bounds on Quantum Multiparty Communication ComplexityProceedings of the 2009 24th Annual IEEE Conference on Computational Complexity10.1109/CCC.2009.24(254-262)Online publication date: 15-Jul-2009
    • Show More Cited By

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media