2018
DOI: 10.1088/1751-8121/aad64f
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Statistical behavior of the characteristic polynomials of a family of pseudo-Hermitian Gaussian matrices

Abstract: In this paper, we extend previous studies conducted by the authors in a family of pseudo-Hermitian Gaussian matrices. Namely, we further the studies of the two pseudo-Hermitian random matrix cases previously considered, the first of a matrix of order N with two interacting blocks of sizes M and N − M and the second of a chessboard-like structured matrix of order N whose subdiagonals alternate between Hermiticity and pseudo-Hermiticity. Following an average characteristic polynomial approach, we obtain sequence… Show more

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Cited by 6 publications
(14 citation statements)
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“…It is also noteworthy that the matrix η given in reference [24] which verifies (1) fluctuates around finite values for all its elements [25]. In particular, when N → ∞, the average goes as η N N → 1 and the variance goes as σ [26,27] A is one for which there exists a hermitian linear operator T such that its domain is the Hilbert space being considered, T is positive definite and bounded and, also, T A = A † T .…”
Section: The Hermitian and The Quasi-hermitian β-Hermite Ensemblesmentioning
confidence: 93%
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“…It is also noteworthy that the matrix η given in reference [24] which verifies (1) fluctuates around finite values for all its elements [25]. In particular, when N → ∞, the average goes as η N N → 1 and the variance goes as σ [26,27] A is one for which there exists a hermitian linear operator T such that its domain is the Hilbert space being considered, T is positive definite and bounded and, also, T A = A † T .…”
Section: The Hermitian and The Quasi-hermitian β-Hermite Ensemblesmentioning
confidence: 93%
“…In the authors' previous work, the construction of a pseudo-Hermitian ensemble whose matrices are isospectral with those of the β-ensemble was presented [25]. This was done by assuming real tridiagonal non-Hermitian matrices with diagonal composed of random Gaussian variables of mean zero and variance one, lower subdiagonal equal to unity and kth element of the upper subdiagonal following the χ…”
Section: Pseudo-hermitian β-Hermite Ensemble With Unbounded Metricmentioning
confidence: 99%
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