Central limit theorem for the determinantal point process with the confluent hypergeometric kernel

Abstract: We consider the convergence of additive functionals under the determinantal point process with the confluent hypergeometric kernel, corresponding to a sufficiently smooth function $f(x/R)$, as $R\to\infty$. We show that these functionals approach Gaussian distribution and give an estimate on the Kolmogorov-Smirnov distance. To obtain these results we derive an exact identity for expectations of multiplicative functionals in terms of Fredholm determinants.