Results 31 to 40 of about 8,436,612 (364)
Non-hermitian random matrix models [PDF]
Nuclear Physics B, 1997 49 pages RevTex, with modified feynmf sty, 9 EPSF figures included.
Janik, Romuald A. +3 more
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JT gravity and the ensembles of random matrix theory [PDF]
Advances in Theoretical and Mathematical Physics, 2019 We generalize the recently discovered relationship between JT gravity and double-scaled random matrix theory to the case that the boundary theory may have time-reversal symmetry and may have fermions with or without supersymmetry.
D. Stanford, E. Witten
semanticscholar +1 more source
The Spectral Distribution of Random Mixed Graphs
Axioms, 2022 In this work, we propose a random mixed graph model Gn(p(n),q(n)) that incorporates both the classical Erdős-Rényi’s random graph model and the random oriented graph model.
Yue Guan +7 more
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Test of the Eigenstate Thermalization Hypothesis Based on Local Random Matrix Theory.
Physical Review Letters, 2021 We verify that the eigenstate thermalization hypothesis (ETH) holds universally for locally interacting quantum many-body systems. Introducing random matrix ensembles with interactions, we numerically obtain a distribution of maximum fluctuations of ...
Shoki Sugimoto +2 more
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A random matrix approach to the Peterson-Thom conjecture [PDF]
Indiana University Mathematics Journal, 2020 The Peterson-Thom conjecture asserts that any diffuse, amenable subalgebra of a free group factor is contained in a unique maximal amenable subalgebra.
Ben Hayes
semanticscholar +1 more source
Extended Object Tracking with Embedded Classification
Sensors, 2022 This paper proposes a novel extended object tracking (EOT) approach with embedded classification. Traditionally, for extended objects, only tracking is addressed without considering classification.
Wen Cao, Qiwei Li
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Recent progress in combinatorial random matrix theory [PDF]
, 2020 We discuss recent progress many problems in random matrix theory of a combinatorial nature, including several breakthroughs that solve long standing famous conjectures.
V. Vu
semanticscholar +1 more source
A Random Matrix Perspective on Random Tensors
, 2021 Tensor models play an increasingly prominent role in many fields, notably in machine learning. In several applications, such as community detection, topic modeling and Gaussian mixture learning, one must estimate a low-rank signal from a noisy tensor.
Goulart, José Henrique de M +2 more
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On the Fidelity Robustness of CHSH–Bell Inequality via Filtered Random States
Entropy, 2023 The theorem developed by John Bell constituted the starting point of a revolution that translated a philosophical question about the nature of reality into the broad and intense field of research of the quantum information technologies.
Antonio Mandarino, Giovanni Scala
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Expected Values of Scalar-Valued Functions of a Complex Wishart Matrix
Mathematics, 2023 The complex Wishart distribution has ample applications in science and engineering. In this paper, we give explicit expressions for E(tr(Wh))g(tr(Wj))i and E(tr(W−h))g(tr(W−j))i, respectively, for particular values of g, h, i, j, g+h+i+j≤5, where W ...
Daya K. Nagar +2 more
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