Concentration for the zero set of large random polynomial systems
For random systems of $K$ polynomials in $N + 1$ real variables which include the models of Kostlan (1987) and Shub and Smale (1993), we prove that the number of zeros on the unit sphere for $K = N$ or the Hausdorff measure of the zero set for $K < N$ concentrates around its mean as $N\to\infty$....
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Main Author | |
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Format | Journal Article |
Language | English |
Published |
21.03.2023
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Subjects | |
Online Access | Get full text |
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Summary: | For random systems of $K$ polynomials in $N + 1$ real variables which include
the models of Kostlan (1987) and Shub and Smale (1993), we prove that the
number of zeros on the unit sphere for $K = N$ or the Hausdorff measure of the
zero set for $K < N$ concentrates around its mean as $N\to\infty$. To prove
concentration we show that the variance of the latter random variable
normalized by its mean goes to zero. The polynomial systems we consider depend
on a set of parameters which determine the variance of their Gaussian
coefficients. We prove that the convergence is uniform in those parameters and
$K$. |
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DOI: | 10.48550/arxiv.2303.11924 |