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arxiv: 1006.3096 · v2 · pith:WJXFIRAOnew · submitted 2010-06-15 · 🧮 math-ph · cond-mat.dis-nn· hep-th· math.MP· physics.data-an· q-bio.QM· q-fin.CP· q-fin.ST

Non-Hermitean Wishart random matrices (I)

classification 🧮 math-ph cond-mat.dis-nnhep-thmath.MPphysics.data-anq-bio.QMq-fin.CPq-fin.ST
keywords complexmatricesnon-hermiteanrandomwishartanalysisrealseries
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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.

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