On one of Erd\H{o}s' Problems -- An Efficient Search for Benelux Pairs
Christian Hercher

TL;DR
This paper presents an efficient GPU-based algorithm to search for Benelux pairs, confirming known solutions and extending the search up to 1.4 trillion without finding new solutions, thus providing computational evidence for the rarity of such pairs.
Contribution
The paper introduces a highly parallelized sieving and hashing algorithm for finding Benelux pairs, significantly expanding the search space and confirming the absence of new solutions up to 1.4 trillion.
Findings
Confirmed known solutions within a minute of computation.
Extended the search space by over 2^16 times.
Found no new solutions up to 1.4×10^12.
Abstract
Erd\H{o}s asked for positive integers , such that and have the same set of prime factors, and have the same set of prime factors, and and have the same set of prime factors. No such integers are known. If one relaxes the problem and only considers the first two conditions, an infinite series of solutions is known: , for all integers . One additional solution is also known: and with and . No other solutions with were known. In this paper, we discuss an efficient algorithm to search for such integers, also known as Benelux pairs, using sieving and hashing techniques. Using highly parallel functioning algorithms on a modern consumer GPU, we could confirm the hitherto known results within a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAlgorithms and Data Compression · Analytic Number Theory Research · Graph Theory and Algorithms
