Abstract
A point is called binary if its coordinates are equal to either zero or one. It is well known that it is hard to find a binary solution to the system of linear equations whose coefficients are integers with small absolute values. The aim of the article is to propose an effective probabilistic reduction from the system to the unique equation when there is a small difference between the number of binary solutions to the first equation and the number of binary solutions to the system. There exist nontrivial examples of linear equations with small positive coefficients having a small number of binary solutions in high dimensions.
This research has been supported by the Russian Science Foundation, Project No. 14–50–00150.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Schrijver, A.: Theory of Linear and Integer Programming. Wiley, New York (1986)
Dantzig, G.B.: Discrete-variable extremum problems. Oper. Res. 5(2), 266–277 (1957)
Smolev, V.V.: On an approach to the solution of a Boolean linear equation with positive integer coefficients. Discrete Math. Appl. 3(5), 523–530 (1993). https://doi.org/10.1515/dma.1993.3.5.523
Tamir, A.: New pseudopolynomial complexity bounds for the bounded and other integer Knapsack related problems. Oper. Res. Lett. 37(5), 303–306 (2009). https://doi.org/10.1016/j.orl.2009.05.003
Koiliaris, K., Xu, C.: A faster pseudopolynomial time algorithm for subset sum. In: SODA 2017 Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1062–1072. Society for Industrial and Applied Mathematics, Philadelphia (2017)
Bringmann, K.: A near-linear pseudopolynomial time algorithm for subset sum. In: SODA 2017 Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1073–1084. Society for Industrial and Applied Mathematics, Philadelphia (2017)
Margulies, S., Onn, S., Pasechnik, D.V.: On the complexity of Hilbert refutations for partition. J. Symbolic Comput. 66, 70–83 (2015). https://doi.org/10.1016/j.jsc.2013.06.005
Chistov, A.L.: An improvement of the complexity bound for solving systems of polynomial equations. J. Math. Sci. 181(6), 921–924 (2012). https://doi.org/10.1007/s10958-012-0724-4
Jeronimo, G., Sabia, J.: Sparse resultants and straight-line programs. J. Symbolic Comput. 87, 14–27 (2018). https://doi.org/10.1016/j.jsc.2017.05.005
Latkin, I.V., Seliverstov, A.V.: Computational complexity of fragments of the theory of complex numbers. Bull. Karaganda Univ. Math. 1, 47–55 (2015). (In Russian). http://vestnik.ksu.kz
Seliverstov, A.V.: On tangent lines to affine hypersurfaces. Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp’yuternye Nauki 27(2), 248–256 (2017). (In Russian). https://doi.org/10.20537/vm170208
Kolokolov, A.A., Zaozerskaya, L.A.: Finding and analysis of estimation of the number of iterations in integer programming algorithms using the regular partitioning method. Russian Math. (Iz. VUZ) 58(1), 35–46 (2014). https://doi.org/10.3103/S1066369X14010046
Håstad, J., Rossman, B., Servedio, R.A., Tan, L.-Y.: An average-case depth hierarchy theorem for Boolean circuits. J. ACM 64(5), 35 (2017). https://doi.org/10.1145/3095799
Horowitz, E., Sahni, S.: Computing partitions with applications to the knapsack problem. J. ACM 21(2), 277–292 (1974). https://doi.org/10.1145/321812.321823
Bansal, N., Garg, S., Nederlof, J., Vyas, N.: Faster space-efficient algorithms for subset sum and k-sum. In: STOC 2017 Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, pp. 198–209 ACM, New York (2017). https://doi.org/10.1145/3055399.3055467
Lokshtanov, D., Nederlof, J.: Saving space by algebraization. In: STOC 2010 Proceedings of the Forty-second ACM Symposium on Theory of Computing, pp. 321–330. ACM, New York (2010). https://doi.org/10.1145/1806689.1806735
Gál, A., Jang, J.-T., Limaye, N., Mahajan, M., Sreenivasaiah, K.: Space-efficient approximations for Subset Sum. ACM Trans. Comput. Theory 8(4), 16 (2016). https://doi.org/10.1145/2894843
Williamson, J.: Determinants whose elements are 0 and 1. Am. Math. Monthly 53(8), 427–434 (1946)
Alon, N., Vũ, V.H.: Anti-Hadamard matrices, coin weighing, threshold gates and indecomposable hypergraphs. J. Comb. Theory A 79(1), 133–160 (1997). https://doi.org/10.1006/jcta.1997.2780
Babai, L., Hansen, K.A., Podolskii, V.V., Sun, X.: Weights of exact threshold functions. In: Hliněný, P., Kučera, A. (eds.) MFCS 2010. LNCS, vol. 6281, pp. 66–77. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15155-2_8
Gorbunov, K.Yu., Seliverstov, A.V., Lyubetsky, V.A.: Geometric relationship between parallel hyperplanes, quadrics, and vertices of a hypercube. Probl. Inform. Transm. 48(2), 185–192 (2012). https://doi.org/10.1134/S0032946012020081
Williams, R.: New algorithms and lower bounds for circuits with linear threshold gates. In: STOC 2014 Proceedings of the Forty-sixth Annual ACM Symposium on Theory of Computing, pp. 194–202. ACM, New York (2014). https://doi.org/10.1145/2591796.2591858
Schwartz, J.T.: Fast probabilistic algorithms for verification of polynomial identities. J. ACM 27(4), 701–717 (1980). https://doi.org/10.1145/322217.322225
Bacher, A., Bodini, O., Hwang, H.-K., Tsai, T.-H.: Generating random permutations by coin-tossing: classical algorithms, new analysis, and modern implementation. ACM Trans. Algorithms 13(2), 24 (2017). https://doi.org/10.1145/3009909
Beresnev, V.L., Melnikov, A.A.: An upper bound for the competitive location and capacity choice problem with multiple demand scenarios. J. Appl. Ind. Math. 11(4), 472–480 (2017). https://doi.org/10.1134/S1990478917040020
Acknowledgements
The author would like to thank the anonymous reviewers for useful comments.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Seliverstov, A.V. (2018). Binary Solutions to Some Systems of Linear Equations. In: Eremeev, A., Khachay, M., Kochetov, Y., Pardalos, P. (eds) Optimization Problems and Their Applications. OPTA 2018. Communications in Computer and Information Science, vol 871. Springer, Cham. https://doi.org/10.1007/978-3-319-93800-4_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-93800-4_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93799-1
Online ISBN: 978-3-319-93800-4
eBook Packages: Computer ScienceComputer Science (R0)