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The middle-scale asymptotics of Wishart matrices

Abstract

We study the behavior of a real pp-dimensional Wishart random matrix with nn degrees of freedom when n,pn,p\rightarrow\infty but p/n0p/n\rightarrow 0. We establish the existence of phase transitions when pp grows at the order n(K+1)/(K+3)n^{(K+1)/(K+3)} for every kNk\in\mathbb{N}, 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 tt-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 p/n0p/n\rightarrow 0. Finally, we discuss how the phase transitions of the Wishart distribution might originate from changes in rates of convergence of symmetric tt statistics.

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