PreprintCC0arXiv
Multiplicative independence in the sequence of k-generalized Pell numbers
Abstract
We study multiplicative dependence between terms of the k-generalized Pell sequence (Pn(k))n≥ 2−k, defined by the linear recurrence Pn(k)=2Pn−1(k)+Pn−2(k)+⋯+Pn−k(k), with initial conditions P0(k)=⋯=P−(k−2)(k)=0 and P1(k)=1. We prove that for every k≥ 2 and all integers n>m≥ 2, the equation (Pn(k))x=(Pm(k))y has no solution in positive integers x,y with x<y<n. The proof combines lower bounds for linear forms in logarithms, the Baker-Davenport reduction method, the LLL algorithm, and a finite computational verification.
Related
- On concatenations of two k-generalized Pell numbers
- Pillai's equation between k-generalized Pell numbers and Tribonacci numbers
- On Wagstaff primes in the k-Pell number sequence
- Multiplicative Dependence of Shifted Quadratic and Cubic Algebraic Numbers
- The Fibonacci numbers are not an additive uniqueness set for multiplicative functions
BibTeX
@misc{deme2026multiplicative,
title = {{Multiplicative independence in the sequence of $k$-generalized Pell numbers}},
author = {Cherif B. Deme and Kancou D. Fall and Khady Faye and Bernadette Faye},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2605.17699},
eprint = {2605.17699},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2605.17699},
note = {CC0},
}
RIS
TY - UNPB
TI - Multiplicative independence in the sequence of k-generalized Pell numbers
AU - Cherif B. Deme
AU - Kancou D. Fall
AU - Khady Faye
AU - Bernadette Faye
PY - 2026
DA - 2026/09/17
PB - arXiv
DO - 10.48550/arxiv.2605.17699
UR - https://arxiv.org/abs/2605.17699
AB - We study multiplicative dependence between terms of the k-generalized Pell sequence (P_n^(k))_n≥ 2−k, defined by the linear recurrence P_n^(k)=2P_n−1^(k)+P_n−2^(k)+⋯+P_n−k^(k), with initial conditions P_0^(k)=⋯=P_−(k−2)^(k)=0 and P_1^(k)=1. We prove that for every k≥ 2 and all integers n>m≥ 2, the equation (P_n^(k))^x=(P_m^(k))^y has no solution in positive integers x,y with x<y<n. The proof combines lower bounds for linear forms in logarithms, the Baker-Davenport reduction method, the LLL algorithm, and a finite computational verification.
ER -