Title :
The complexity of factors of multivariate polynomials
Author :
Bürgisser, Peter
Author_Institution :
Dept. of Math. & Comput. Sci., Paderborn Univ., Germany
Abstract :
The existence of string functions, which are not polynomial time computable, but whose graph is checkable in polynomial time, is a basic assumption in cryptography. We prove that in the framework of algebraic complexity, there are no such families of polynomial functions of p-bounded degree overfields of characteristic zero. The proof relies on a polynomial upper bound on the approximative complexity of a factor g of a polynomial f in terms of the (approximative) complexity of f and the degree of the factor g. This extends a result by E. Kaltofen (1986). The concept of approximative complexity allows us to cope with the case that a factor has an exponential multiplicity, by using a perturbation argument. Our result extends to randomized (two-sided error) decision complexity.
Keywords :
computational complexity; cryptography; polynomials; theorem proving; algebraic complexity; approximative complexity; characteristic zero; cryptography; exponential multiplicity; multivariate polynomial factor complexity; p-bounded degree; perturbation argument; polynomial functions; polynomial time computable; polynomial upper bound; proof; randomized decision complexity; string functions; Arithmetic; Computational modeling; Computer science; Cryptography; Decision feedback equalizers; Mathematics; Polynomials; Testing; Tree graphs; Upper bound;
Conference_Titel :
Foundations of Computer Science, 2001. Proceedings. 42nd IEEE Symposium on
Print_ISBN :
0-7695-1116-3
DOI :
10.1109/SFCS.2001.959912