PreprintarXiv licencearXiv
On random Binomial-Fibonacci sequences
Abstract
Motivated by the pioneer work of Viswanath \cite{VIS2000} on random Fibonacci sequences and the development of random Euclidean addition chains in cryptography, we introduce a new family of random Binomial-Fibonacci sequences. We study the asymptotic behavior of their finite-time Lyapunov exponents. In the special case of random Bernoulli-Fibonacci sequences, we show that they convergence almost surely to an explicit Lyapunov exponent and prove a central limit theorem with an explicit formula for the variance. We also show that they satisfy a large deviation principle.
Related
- The local Dold congruence for Fibonacci and Lucas sequences
- Polynomial Identities for Generalized Fibonacci Sequences
- Asymptotics for partitions over the Fibonacci numbers and related sequences, II
- Random Fibonacci Tilings
- Median Duality in Fibonacci Triangles: A Link to Lyapunov Exponents of Random Recurrences
BibTeX
@misc{bercu2026random,
title = {{On random Binomial-Fibonacci sequences}},
author = {Bernard Bercu and Fabrice Gamboa},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.37020},
eprint = {2609.37020},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.37020},
}
RIS
TY - UNPB
TI - On random Binomial-Fibonacci sequences
AU - Bernard Bercu
AU - Fabrice Gamboa
PY - 2026
DA - 2026/09/29
PB - arXiv
DO - 10.48550/arxiv.2609.37020
UR - https://arxiv.org/abs/2609.37020
AB - Motivated by the pioneer work of Viswanath \cite{VIS2000} on random Fibonacci sequences and the development of random Euclidean addition chains in cryptography, we introduce a new family of random Binomial-Fibonacci sequences. We study the asymptotic behavior of their finite-time Lyapunov exponents. In the special case of random Bernoulli-Fibonacci sequences, we show that they convergence almost surely to an explicit Lyapunov exponent and prove a central limit theorem with an explicit formula for the variance. We also show that they satisfy a large deviation principle.
ER -