EconPapers    
Economics at your fingertips  
 

Weak Pseudoprimality Associated with the Generalized Lucas Sequences

Dorin Andrica (), Ovidiu Bagdasar () and Michael Th. Rassias ()
Additional contact information
Dorin Andrica: Babeş-Bolyai University
Ovidiu Bagdasar: University of Derby
Michael Th. Rassias: University of Zurich

A chapter in Approximation and Computation in Science and Engineering, 2022, pp 53-75 from Springer

Abstract: Abstract Pseudoprimes are composite integers which share properties of the prime numbers, and they have applications in many areas, as, for example, in public-key cryptography. Numerous types of pseudoprimes are known to exist, many of them defined by linear recurrent sequences. In this material, we present some novel classes of pseudoprimes related to the generalized Lucas sequences. First, we present some arithmetic properties of the generalized Lucas and Pell–Lucas sequences and review some classical pseudoprimality notions defined for Fibonacci, Lucas, Pell, and Pell–Lucas sequences and their generalizations. Then we define new notions of pseudoprimality which do not involve the use of the Jacobi symbol and include many classical pseudoprimes. For these, we present associated integer sequences recently added to the Online Encyclopedia of Integer Sequences, identify some key properties, and propose a few conjectures.

Keywords: Pseudoprime; Generalized Lucas sequence; Generalized Pell–Lucas sequence; Generalized Bruckman–Lucas pseudoprime; Weak generalized Lucas pseudoprime; Weak generalized Bruckman–Lucas pseudoprime; Primary 11A51; Secondary 11B39; 11Y50 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-84122-5_4

Ordering information: This item can be ordered from
http://www.springer.com/9783030841225

DOI: 10.1007/978-3-030-84122-5_4

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:spochp:978-3-030-84122-5_4