Additive functionals of the determinantal point process with confluent hypergeometric kernel converge to Gaussian with a Kolmogorov-Smirnov distance estimate as R tends to infinity.
Unitary transform diagonalizing the Confluent Hypergeometric kernel
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abstract
We consider the image of the operator inducing the determinantal point process with the confluent hypergeometric kernel. The space is described as the image of $L_2[0, 1]$ under a unitary transform, which generalizes the Fourier transform. For the derived transform we prove a counterpart of the Paley-Wiener theorem. We use the theorem to prove that the corresponding analogue of the Wiener-Hopf operator is a unitary equivalent of the usual Wiener-Hopf operator, which implies that it shares the same factorization properties and Widom's trace formula. Finally, using the introduced transform we give explicit formulae for the hierarchical decomposition of the image of the operator induced by the confluent hypergeometric kernel.
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Central limit theorem for the determinantal point process with the confluent hypergeometric kernel
Additive functionals of the determinantal point process with confluent hypergeometric kernel converge to Gaussian with a Kolmogorov-Smirnov distance estimate as R tends to infinity.