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Fast real and complex root-finding methods for well-conditioned polynomials

Given a polynomial $p$ of degree $d$ and a bound $κ$ on a condition number of $p$, we present the first root-finding algorithms that return all its real and complex roots with a number of bit operations quasi-linear in $d \log^2(κ)$. More precisely, several condition numbers can be defined depending on the norm chosen on the coefficients of the polynomial. Let $p(x) = \sum\_{k=0}^d a\_k x^k = \sum\_{k=0}^d \sqrt{\binom d k} b\_k x^k$. We call the condition number associated with a perturbation of the $a\_k$ the hyperbolic condition number $κ\_h$, and the one associated with a perturbation of the $b\_k$ the elliptic condition number $κ\_e$. For each of these condition numbers, we present algorithms that find the real and the complex roots of $p$ in $O\left(d\log^2(dκ)\ \text{polylog}(\log(dκ))\right)$ bit operations.Our algorithms are well suited for random polynomials since $κ\_h$ (resp. $κ\_e$) is bounded by a polynomial in $d$ with high probability if the $a\_k$ (resp. the $b\_k$) are independent, centered Gaussian variables of variance $1$.

preprint2021arXivOpen access
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