I7 Logo
Chair for Foundations of Software Reliability and Theoretical Computer Science
Informatik Logo TUM Logo
Publications - Computing Least Fixed Points of Probabilistic Systems of Polynomials

Reference:

Javier Esparza, Andreas Gaiser, and Stefan Kiefer. Computing least fixed points of probabilistic systems of polynomials. In Proceedings of the 27th International Symposium on Theoretical Aspects of Computer Science (STACS), Nancy, France, 2010.

Abstract:

We study systems of equations of the form X1 = f1(X1, ..., Xn), ..., Xn = fn(X1, ..., Xn), where each fi is a polynomial with nonnegative coefficients that add up to 1. The least nonnegative solution, say mu, of such equation systems is central to problems from various areas, like physics, biology, computational linguistics and probabilistic program verification. We give a simple and strongly polynomial algorithm to decide whether mu=(1, ..., 1) holds. Furthermore, we present an algorithm that computes reliable sequences of lower and upper bounds on mu, converging linearly to mu. Our algorithm has these features despite using inexact arithmetic for efficiency. We report on experiments that show the performance of our algorithms.

Suggested BibTeX entry:

@inproceedings{EGK10:stacs,
    address = {Nancy, France},
    author = {Javier Esparza and Andreas Gaiser and Stefan Kiefer},
    booktitle = {Proceedings of the 27th International Symposium on Theoretical Aspects of Computer Science (STACS)},
    title = {Computing Least Fixed Points of Probabilistic Systems of Polynomials},
    year = {2010}
}

PDF (247 kB)
Tech report version