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Fast Bounds on the Distribution of Smooth Numbers
| Book Series | Lecture Notes in Computer Science |
| Publisher | Springer Berlin / Heidelberg |
| ISSN | 0302-9743 (Print) 1611-3349 (Online) |
| Volume | Volume 4076/2006 |
| Book | Algorithmic Number Theory |
| DOI | 10.1007/11792086 |
| Copyright | 2006 |
| ISBN | 978-3-540-36075-9 |
| Category | Analytic and Elementary Number Theory |
| DOI | 10.1007/11792086_13 |
| Pages | 168-181 |
| Subject Collection | Computer Science |
| SpringerLink Date | Thursday, October 05, 2006 |
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Analytic and Elementary Number Theory
Fast Bounds on the Distribution of Smooth Numbers
Scott T. Parsell1 and Jonathan P. Sorenson2 
| (1) |
Mathematics and Actuarial Science, Butler University, Indianapolis, IN 46208, USA |
| (2) |
Computer Science and Software Engineering, Butler University, Indianapolis, IN 46208, USA |
Abstract
Let P(n) denote the largest prime divisor of n, and let Ψ(x,y) be the number of integers n≤x with P(n)≤y. In this paper we present improvements to Bernstein’s algorithm, which finds rigorous upper and lower bounds for Ψ(x,y). Bernstein’s original algorithm runs in time roughly linear in y. Our first, easy improvement runs in time roughly y2/3. Then, assuming the Riemann Hypothesis, we show how to drastically improve this. In particular, if logy is a fractional power of logx, which is true in applications to factoring and cryptography, then our new algorithm has a running time that is polynomial
in logy, and gives bounds as tight as, and often tighter than, Bernstein’s algorithm.
This work was supported by a grant from the Holcomb Research Institute. We wish to thank the referee, whose comments helped
improve this paper.
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