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| 1. autor: | |
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| Format: | Preprint |
| Wydane: |
2026
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| Hasła przedmiotowe: | |
| Dostęp online: | https://arxiv.org/abs/2602.20192 |
| Etykiety: |
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Spis treści:
- We consider the polynomials $Ξ_n$ introduced in~\cite{TallaWaffo2025arxiv2511.02843} and studied in further details in\cite{TallaWaffo2026arxiv2602.16761}, which are expressed in terms of Eulerian polynomials of type~B, and study the zero distribution of the rescaled family \[ \widetildeΞ_n(x) := Ξ_n(\sqrt{x}), \qquad n\ge 2. \] Writing the zeros of $\widetildeΞ_n$ in the interval $(0,1)$ as $0< x_{n,1} \le \cdots \le x_{n,n-1} < 1$ and forming the empirical measures \[ μ_n := \frac1{n-1}\sum_{k=1}^{n-1}δ_{x_{n,k}}, \] we prove that $(μ_n)_{n\ge2}$ converges weakly to a deterministic probability measure $μ$ supported on $(0,1)$. We give an explicit formula for the limiting density and the limiting distribution function of~$μ$. The proof is based on a representation of $Ξ_n$ in terms of type~B Eulerian polynomials, a ratio asymptotic for these polynomials derived from a classical series identity, and the Stieltjes transform method. We also provide numerical experiments illustrating the convergence of the empirical zero distributions to~$μ$.