학술논문

The complexity of factors of multivariate polynomials
Document Type
Conference
Author
Source
Proceedings 42nd IEEE Symposium on Foundations of Computer Science Cluster Computing, 2001. Proceedings. 2001 IEEE International Conference on. :378-385 2001
Subject
Computing and Processing
Communication, Networking and Broadcast Technologies
Polynomials
Arithmetic
Computer science
Cryptography
Mathematics
Upper bound
Testing
Decision feedback equalizers
Computational modeling
Tree graphs
Language
ISSN
1552-5244
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.