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The asymptotic estimation for two classes of generalized Fibonacci sub-sequences

Yongkang Wan, Zhonghao Liang, Qunying Liao

TL;DR

The paper addresses the problem of accurately estimating the inverse tail sums of reciprocal powers of generalized Fibonacci subsequences $W_n(a,b,p,q)$. By leveraging the Binet-type representation $W_n=c_1\alpha^n-c_2\beta^n$ and careful asymptotic expansions, it derives explicit forms for $\left(\sum_{k=n}^{\infty}\frac{1}{W_{mk+l}^d}\right)^{-1}$ and, for the first time in this context, $\left(\sum_{k=n}^{\infty}\frac{(-1)^k}{W_{mk+l}^d}\right)^{-1}$, including detailed corollaries for $d=1,2,3,4$. The results extend Yuan et al.’s 2025 A14 work to a broad generalized Fibonacci class and provide high-precision asymptotic expansions with quantified error terms, under standard positivity and dominance assumptions ensuring $|\beta|<1$. These findings offer precise asymptotic tools for analyses involving Fibonacci-like sequences and their reciprocal-tail sums.

Abstract

Since the $\mathrm{Fibonacci}$ sequence has good properties, it's important in theory and applications, such as in combinatorics, cryptography, and so on. In this paper, for the generalized Fibonacci sequence $\left\{W_n\left(a,b,p,q\right)\right\}$, by using elementary methods and techniques, we respectively give the asymptotic estimation values of $\left(\sum\limits_{k=n}^{\infty}\frac{1}{W_{mk+l}^d}\right)^{-1}$ and $\left(\sum\limits_{k=n}^{\infty}\frac{\left(-1\right)^k}{W_{mk+l}^d}\right)^{-1}$, which generalize the asymptotic estimation results of Yuan et al. \cite{A14} in 2025.

The asymptotic estimation for two classes of generalized Fibonacci sub-sequences

TL;DR

The paper addresses the problem of accurately estimating the inverse tail sums of reciprocal powers of generalized Fibonacci subsequences . By leveraging the Binet-type representation and careful asymptotic expansions, it derives explicit forms for and, for the first time in this context, , including detailed corollaries for . The results extend Yuan et al.’s 2025 A14 work to a broad generalized Fibonacci class and provide high-precision asymptotic expansions with quantified error terms, under standard positivity and dominance assumptions ensuring . These findings offer precise asymptotic tools for analyses involving Fibonacci-like sequences and their reciprocal-tail sums.

Abstract

Since the sequence has good properties, it's important in theory and applications, such as in combinatorics, cryptography, and so on. In this paper, for the generalized Fibonacci sequence , by using elementary methods and techniques, we respectively give the asymptotic estimation values of and , which generalize the asymptotic estimation results of Yuan et al. \cite{A14} in 2025.
Paper Structure (9 sections, 13 theorems, 128 equations)