2010

Non-Hermitean Wishart random matrices (I)

Kanzieper, Eugene, Bathinda, Navinder Singh

Understand

A non-Hermitean extension of paradigmatic Wishart random matrices is introduced to set up a theoretical framework for statistical analysis of (real, complex and real quaternion) stochastic time series representing two "remote" complex systems.

The first paper in a series provides a detailed spectral theory of non-Hermitean Wishart random matrices composed of complex valued entries.
The great emphasis is placed on an asymptotic analysis of the mean eigenvalue density for which we derive, among other results, a complex-plane analogue of the Marchenko-Pastur law.
A surprising connection with a class of matrix models previously invented in the context of quantum chromodynamics is pointed out.

Built on

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