Autocorrelations of the characteristic polynomial of a random matrix under microscopic scaling
classification
🧮 math.PR
math-phmath.MP
keywords
matrixcharacteristicmicroscopicpolynomialrandomscalingautocorrelationautocorrelations
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We calculate the autocorrelation function for the characteristic polynomial of a random matrix in the microscopic scaling regime. While results fitting this description have be proved before, we will cover all values of inverse temperature $\beta \in (0,\infty)$. The method also differs from prior work, relying on matrix models introduced by Killip and Nenciu.
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