Bounds on the number of squares in recurrence sequences: arbitrary $b$, III
Paul M Voutier
TL;DR
This work extends prior analyses of the number of distinct squares in binary recurrence sequences to general negative norms $N_{\alpha}$, proving that only a small, finite set of squares can occur for large indices. The authors combine hypergeometric approximations, gap principles, and careful casework on the parameter $r_0$ and 4th roots of unity to derive upper bounds and eventual contradictions for configurations with many squares. They show that for $N_{\alpha}<0$ there are at most four distinct squares among suitably large $y_k$, and in several regimes (notably small $b$ or large $d$) the bound tightens to at most nine squares, with explicit lower bounds on $d$ in terms of $b$ and $u$ guiding the analysis. The paper also includes computational verification for removing $d$-bounds in specific small-$b$ cases, and provides public code to support the hypergeometric approach, highlighting the practical impact for Diophantine approximation and Pell-type sequence analysis.
Abstract
We generalise our earlier work on the number of squares in binary recurrence sequences, $\left\{ y_{k} \right\}_{k \geq -\infty}$. In the notation of our previous papers, here we consider the case when $N_α$ is any negative integer and $y_{0}=b^{2}$ for any positive integer, $b$. We show that there are at most $4$ distinct squares with $y_{k}$ sufficiently large. This allows us to also show that there are at most $9$ distinct squares in such sequences when $b=1,2$ or $3$, or once $d$ is sufficiently large.
