Concentration of random determinants and permanent estimators
classification
🧮 math.PR
keywords
estimatorsmatrixpermanentrandomabsoluteapplicationapproximationaround
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We show that the absolute value of the determinant of a matrix with random independent (but not necessarily iid) entries is strongly concentrated around its mean. As an application, we show that the Godsil-Gutman and Barvinok estimators for the permanent of a strictly positive matrix give sub-exponential approximation ratios with high probability.
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