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https://dx.doi.org/10.15786/13...
Presentation . 2021
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.15786/13...
Presentation . 2021
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.15786/13...
Presentation . 2024
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.15786/13...
Presentation . 2014
License: CC BY
Data sources: Datacite
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Lucas Sequences in Primality Testing

Authors: Heimbuck, Karl;

Lucas Sequences in Primality Testing

Abstract

Prime or composite? This classification determines whether or not integers can be used in digital security. One such way to begin testing an integers primality is with the Fermat test, which says that if n is a prime number and a is an integer then an-1 ��� 1 mod n. However, the Fermat test in itself is not solely sufficient as a primality test since there are composite numbers that also pass the test. Thus, there is a need to look at alternative ways to test primality. Using Lucas numbers is one such way. Given integers P and Q, a Lucas sequence is defined as the Un and Vn such that Un+1= PUn ��� QUn-1 and Vn+1 = PVn-QVn-1. Like the Fermat test, Lucas numbers exhibit certain characteristics for prime numbers. This research looked at ways to combine the different Lucas characteristics not only with each other but with the Fermat test in order to determine combinations which could be advantageous in primality testing.

Keywords

FOS: Computer and information sciences, Computation Theory and Mathematics

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citations
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
Average
Average
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