2013•Journal of Physics A Mathematical and TheoreticalOpen access

Multi-matrix models at general coupling

Veselin G. Filev, Denjoe O’Connor

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Abstract

The eigenvalue distribution of Hoppe's two-matrix model is investigated in detail as a function of the model's coupling. For small couplings it is a perturbed Wigner semicircle, while for large couplings it is a parabolic distribution which crosses over to a Wigner semicircle for eigenvalues within an approximately inverse coupling from the boundary of the distribution. The model is approximately commuting at large couplings and we find the joint eigenvalue distribution of the two matrices. We also study a related three-matrix model finding the corresponding three-dimensional eigenvalue distribution there also. The techniques developed here are more widely applicable to other multi-matrix models.

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The eigenvalue distribution of Hoppe's two-matrix model is investigated in detail as a function of the model's coupling. For small couplings it is a perturbed Wigner semicircle, while for large couplings it is a parabolic distribution which crosses over to a Wigner semicircle for eigenvalues within an approximately inverse coupling from the boundary of the distribution. The model is approximately commuting at large couplings and we find the joint eigenvalue distribution of the two matrices. We also study a related three-matrix model finding the corresponding three-dimensional eigenvalue distribution there also. The techniques developed here are more widely applicable to other multi-matrix models.

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Available abstract

The eigenvalue distribution of Hoppe's two-matrix model is investigated in detail as a function of the model's coupling. For small couplings it is a perturbed Wigner semicircle, while for large couplings it is a parabolic distribution which crosses over to a Wigner semicircle for eigenvalues within an approximately inverse coupling from the boundary of the distribution. The model is approximately commuting at large couplings and we find the joint eigenvalue distribution of the two matrices. We also study a related three-matrix model finding the corresponding three-dimensional eigenvalue distribution there also. The techniques developed here are more widely applicable to other multi-matrix models.

Key concepts: Eigenvalues and eigenvectors, Inverse, Coupling (piping), Matrix (chemical analysis), Distribution (mathematics), Boundary (topology), Mathematical analysis, Mathematics

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