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Weights of Exact Threshold Functions

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Book cover Mathematical Foundations of Computer Science 2010 (MFCS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6281))

Abstract

We consider Boolean exact threshold functions defined by linear equations, and in general degree d polynomials. We give upper and lower bounds on the maximum magnitude (absolute value) of the coefficients required to represent such functions. These bounds are very close and in the linear case in particular they are almost matching. The quantity is the same as the maximum magnitude of integer coefficients of linear equations required to express every possible intersection of a hyperplane in R n and the Boolean cube {0,1}n, or in the general case intersections of hypersurfaces of degree d in R n and the Boolean cube {0,1}n. In the process we construct new families of ill-conditioned matrices. We further stratify the problem (in the linear case) in terms of the dimension k of the affine subspace spanned by the solutions, and give upper and lower bounds in this case as well. Our bounds here in terms of k leave a substantial gap, a challenge for future work.

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References

  1. Agrawal, M., Arvind, V.: Geometric sets of low information content. Theoretical Computer Science 158(1-2), 193–219 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  2. Alon, N., Vũ, V.H.: Anti-hadamard matrices, coin weighing, threshold gates, and indecomposable hypergraphs. Journal of Combinatorial Theory, Series A 79(1), 133–160 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  3. Beigel, R.: Perceptrons, PP, and the polynomial hierarchy. Computational Complexity 4(4), 339–349 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  4. Beigel, R., Tarui, J., Toda, S.: On probabilistic ACC circuits with an exact-threshold output gate. In: Ibaraki, T., Iwama, K., Yamashita, M., Inagaki, Y., Nishizeki, T. (eds.) ISAAC 1992. LNCS, vol. 650, pp. 420–429. Springer, Heidelberg (1992)

    Google Scholar 

  5. Faddeev, D.K., Sominskii, I.S.: Problems in Higher Algebra. W.H. Freeman, New York (1965)

    Google Scholar 

  6. Green, F.: A complex-number fourier technique for lower bounds on the mod-m degree. Computational Complexity 9(1), 16–38 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  7. Hansen, K.A.: Computing symmetric boolean functions by circuits with few exact threshold gates. In: Lin, G. (ed.) COCOON 2007. LNCS, vol. 4598, pp. 448–458. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  8. Hansen, K.A.: Depth reduction for circuits with a single layer of modular counting gates. In: Frid, A., Morozov, A., Rybalchenko, A., Wagner, K.W. (eds.) Computer Science - Theory and Applications. LNCS, vol. 5675, pp. 117–128. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  9. Hansen, K.A., Podolskii, V.V.: Exact threshold circuits. In: Proceedings of the 25th Annual IEEE Conference on Computational Complexity, pp. 270–279. IEEE Computer Society, Los Alamitos (2010)

    Google Scholar 

  10. Harkins, R.C., Hitchcock, J.M.: Dimension, halfspaces, and the density of hard sets. In: Lin, G. (ed.) COCOON 2007. LNCS, vol. 4598, pp. 129–139. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  11. Håstad, J.: On the size of weights for threshold gates. SIAM Journal on Discrete Mathematics 7(3), 484–492 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  12. Hertz, J., Krogh, A., Palmer, R.G.: Introduction to the Theory of Neural Computation. Addison-Wesley Publishing Company, Reading (1991)

    Google Scholar 

  13. Muroga, S., Toda, I., Takasu, S.: Theory of majority decision elements. Journal of the Franklin Institute 271, 376–418 (1961)

    Article  MATH  MathSciNet  Google Scholar 

  14. Muroga, S.: Threshold Logic and its Applications. John Wiley & Sons, Inc., Chichester (1971)

    MATH  Google Scholar 

  15. Parberry, I.: Circuit Complexity and Neural Networks. MIT Press, Cambridge (1994)

    MATH  Google Scholar 

  16. Podolskii, V.V.: A uniform lower bound on weights of perceptrons. In: Hirsch, E.A., Razborov, A.A., Semenov, A., Slissenko, A. (eds.) Computer Science – Theory and Applications. LNCS, vol. 5010, pp. 261–272. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  17. Podolskii, V.V.: Perceptrons of large weight. Problems of Information Transmission 45(1), 46–53 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  18. Smith, D.R.: Bounds on the number of threshold functions. IEEE Transactions on Electronic Computers EC 15(6), 368–369 (1966)

    Article  MATH  Google Scholar 

  19. Yajima, S., Ibaraki, T.: A lower bound on the number of threshold functions. IEEE Transactions on Electronic Computers EC 14(6), 926–929 (1965)

    Article  MATH  Google Scholar 

  20. Ziegler, G.M.: Lectures on 0/1-polytopes. In: Kalai, G., Ziegler, G.M. (eds.) Polytopes - Combinatorics and Computation, DMV Seminar, vol. 29, pp. 1–43. Birkhäuser, Basel (2000)

    Google Scholar 

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Babai, L., Hansen, K.A., Podolskii, V.V., Sun, X. (2010). Weights of Exact Threshold Functions. In: Hliněný, P., Kučera, A. (eds) Mathematical Foundations of Computer Science 2010. MFCS 2010. Lecture Notes in Computer Science, vol 6281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15155-2_8

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  • DOI: https://doi.org/10.1007/978-3-642-15155-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15154-5

  • Online ISBN: 978-3-642-15155-2

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