The complexity of matrix rank and feasible systems of linear equations (extended abstract)
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Lower bounds for monotone span programs
Computational Complexity
Communications of the ACM
Optimal Black-Box Secret Sharing over Arbitrary Abelian Groups
CRYPTO '02 Proceedings of the 22nd Annual International Cryptology Conference on Advances in Cryptology
A characterization of span program size and improved lower bounds for monotone span programs
Computational Complexity
Combinatorial methods in boolean function complexity
Combinatorial methods in boolean function complexity
Separating the Power of Monotone Span Programs over Different Fields
FOCS '03 Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science
A note on monotone complexity and the rank of matrices
Information Processing Letters
General secure multi-party computation from any linear secret-sharing scheme
EUROCRYPT'00 Proceedings of the 19th international conference on Theory and application of cryptographic techniques
Span-program-based quantum algorithm for evaluating formulas
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
On secret sharing schemes, matroids and polymatroids
TCC'07 Proceedings of the 4th conference on Theory of cryptography
On a relation between verifiable secret sharing schemes and a class of error-correcting codes
WCC'05 Proceedings of the 2005 international conference on Coding and Cryptography
Efficient fully secure attribute-based encryption schemes for general access structures
ProvSec'12 Proceedings of the 6th international conference on Provable Security
Hi-index | 0.00 |
Span programs provide a linear algebraic model of computation. Monotone span programs (MSP) correspond to linear secret sharing schemes. This paper studies the properties of monotone span programs related to their size. Using the results of van Dijk (connecting codes and MSPs) and a construction for a dual monotone span program proposed by Cramer and Fehr we prove a non-trivial upper bound for the size of monotone span programs. By combining the concept of critical families with the dual monotone span program construction of Cramer and Fehr we improve the known lower bound with a constant factor, showing that the lower bound for the size of monotone span programs should be approximately twice as large. Finally, we extend the result of van Dijk showing that for any MSP there exists a dual MSP such that the corresponding codes are dual.