The middle-scale asymptotics of Wishart matrices
We study the behavior of a real -dimensional Wishart random matrix with degrees of freedom when but . We establish the existence of phase transitions when grows at the order for every , and derive expressions for approximating densities between every two phase transitions. To do this, we make use of a novel tool we call the G-transform of a distribution, which is closely related to the characteristic function. We also derive an extension of the -distribution to the real symmetric matrices, which naturally appears as the conjugate distribution to the Wishart under a G-transformation, and show its empirical spectral distribution obeys a semicircle law when . Finally, we discuss how the phase transitions of the Wishart distribution might originate from changes in rates of convergence of symmetric statistics.
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