Results 21 to 30 of about 128,369 (250)
Nonlinear Perturbation of Random Matrix Theory
21=5+16 pages, 5 figures + 16 SupMat figures, additional figures/data available at: https://www.quantware.ups-tlse.fr/QWLIB/nonlinrmt/index.html additional material in SupMat (new figure panels with new parameters and new SupMat sections)
Frahm, Klaus, Shepelyansky, Dima
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Extremal correlators and random matrix theory
We study the correlation functions of Coulomb branch operators of four-dimensional N $$ \mathcal{N} $$ = 2 Superconformal Field Theories (SCFTs).
Alba Grassi +2 more
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Prediction of Solar Ultraviolet Radiations Using Random Matrix Theory
Purpose: The correlation of different samples can be described by analytical models such as random matrix theory. In this study, we tried to describe the correlation of different types of ultraviolet values in different months, weeks, and hours to get a
Reza Malekzadeh +3 more
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Developments in random matrix theory [PDF]
22 pages ...
Forrester, PJ +2 more
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Path Counting and Random Matrix Theory [PDF]
We establish three identities involving Dyck paths and alternating Motzkin paths, whose proofs are based on variants of the same bijection. We interpret these identities in terms of closed random walks on the halfline. We explain how these identities arise from combinatorial interpretations of certain properties of the $\beta$-Hermite and $\beta ...
Ioana Dumitriu, Etienne Rassart
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Analysis of the Global Banking Network by Random Matrix Theory
Since the financial crisis of 2008, the network analysis of financial systems has attracted a lot of attention. In this paper, we analyze the global banking network via the method of Random Matrix Theory. By applying that method on a cross border lending
Ali Namaki +11 more
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A random-matrix theory of the number sense. [PDF]
Number sense, a spontaneous ability to process approximate numbers, has been documented in human adults, infants and newborns, and many other animals. Species as distant as monkeys and crows exhibit very similar neurons tuned to specific numerosities. How number sense can emerge in the absence of learning or fine tuning is currently unknown.
Hannagan T +3 more
europepmc +4 more sources
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
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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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Unitary matrix integral for two-color QCD and the GSE-GUE crossover in random matrix theory
We analytically evaluate a unitary matrix integral which appears in the low-energy limit of two-color QCD at finite chemical potential. The result is expressed as a pfaffian. We illustrate its application to the GSE-GUE crossover in random matrix theory.
Takuya Kanazawa
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