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https://dx.doi.org/10.48550/ar...
Article . 2020
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
https://dx.doi.org/10.20347/wi...
Other literature type . 2019
Data sources: Datacite
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Millions of Perrin pseudoprimes including a few giants

Authors: Stephan, Holger;

Millions of Perrin pseudoprimes including a few giants

Abstract

The calculation of many and large Perrin pseudoprimes is a challenge. This is mainly due to their rarity. Perrin pseudoprimes are one of the rarest known pseudoprimes. In order to calculate many such large numbers, one needs not only a fast algorithm but also an idea how most of them are structured to minimize the amount of numbers one have to test. We present a quick algorithm for testing Perrin pseudoprimes and develop some ideas on how Perrin pseudoprimes might be structured. This leads to some conjectures that still need to be proved. We think that we have found well over 90% of all 20-digit Perrin pseudoprimes. Overall, we have been able to calculate over 9 million Perrin pseudoprimes with our method, including some very large ones. The largest number found has 3101 digits. This seems to be a breakthrough, compared to the previously known just over 100,000 Perrin pseudoprimes, of which the largest have 20 digits. In addition, we propose two new sequences that do not provide any pseudoprimes up to $10^9$ at all.

Country
Germany
Keywords

ddc:510, Mathematics - Number Theory, 11B50, pseudoprimes -- recurrence sequences -- fast algorithm -- large numbers, article, 11B39, 11B37, Numerical Analysis (math.NA), 11B37, 11B39, 11B50, recurrence sequences, 510, fast algorithm, FOS: Mathematics, Mathematics - Numerical Analysis, Number Theory (math.NT), pseudoprimes, large numbers

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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