Results 31 to 40 of about 8,430,397 (275)
Random Matrix Theory Predictions of Dominant Mode Rejection Beamformer Performance
Adaptive beamformers use a sensor covariance matrix estimated from data snapshots to mitigate directional interference and attenuate uncorrelated noise.
Christopher Hulbert, Kathleen Wage
doaj +1 more source
Random matrix theory for complexity growth and black hole interiors
We study a precise and computationally tractable notion of operator complexity in holographic quantum theories, including the ensemble dual of Jackiw-Teitelboim gravity and two-dimensional holographic conformal field theories.
Arjun Kar +3 more
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Abnormal Node Location Algorithm for WSN Based on Random Matrix Theory [PDF]
Existing abnormal node detection methods for Wireless Sensor Network(WSN) have difficulty in obtaining the statistical model,and the computational cost of large-dimensional data is high.To address the problem,this paper introduces the Random Matrix ...
LIN Chao, ZHENG Lin, ZHANG Wenhui, DENG Xiaofang
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Towards large scale continuous EDA: a random matrix theory perspective [PDF]
Estimation of distribution algorithms (EDA) are a major branch of evolutionary algorithms (EA) with some unique advantages in principle. They are able to take advantage of correlation structure to drive the search more efficiently, and they are able to ...
Kabán, Ata +5 more
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Characteristic polynomials of complex random matrix models [PDF]
We calculate the expectation value of an arbitrary product of characteristic polynomials of complex random matrices and their hermitian conjugates. Using the technique of orthogonal polynomials in the complex plane our result can be written in terms of
Akemann, G +3 more
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Supersymmetric SYK model and random matrix theory
In this paper, we investigate the effect of supersymmetry on the symmetry classification of random matrix theory ensembles. We mainly consider the random matrix behaviors in the N = 1 $$ \mathcal{N}=1 $$ supersymmetric generalization of Sachdev-Ye-Kitaev
Tianlin Li +3 more
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Quasiclassical Random Matrix Theory [PDF]
We directly combine ideas of the quasiclassical approximation with random matrix theory and apply them to the study of the spectrum, in particular to the two-level correlator. Bogomolny's transfer operator T, quasiclassically an NxN unitary matrix, is considered to be a random matrix.
openaire +3 more sources
The Lenard recursion relation and a family of singularly perturbed matrix models [PDF]
We review some aspects of recent work concerning double scaling limits of singularly perturbed Hermitian random matrix models and their connection to Painlevé equations. We present new results showing how a Painlevé III hierarchy recently proposed by the
Random Matrix Theory: Foundations and Applications +1 more
core +1 more source
Skew-orthogonal Laguerre polynomials for chiral real asymmetric random matrices [PDF]
We apply the method of skew-orthogonal polynomials (SOP) in the complex plane to asymmetric random matrices with real elements, belonging to two different classes. Explicit integral representations valid for arbitrary weight functions are derived for the
Akemann, G, Kieburg, M, Phillips, M J
core +7 more sources
Dynamical quantum phase transitions from random matrix theory [PDF]
We uncover a novel dynamical quantum phase transition, using random matrix theory and its associated notion of planar limit. We study it for the isotropic XY Heisenberg spin chain.
David Pérez-García +2 more
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