2014
DOI: 10.1090/psapm/072/00614
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Random matrix theory, numerical computation and applications

Abstract: Abstract. This paper serves to prove the thesis that a computational trick can open entirely new approaches to theory. We illustrate this by describing such random matrix techniques as the stochastic operator approach, the method of ghosts and shadows, and the method of "Riccatti Diffusion/Sturm Sequences." We thereby provide new insights into the deeper mathematics underlying random matrix theory.

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Cited by 7 publications
(12 citation statements)
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“…The Gaussian orthogonal ensemble (GOE), Gaussian unitary ensemble (GUE) and Gaussian symplectic ensemble (GSE) are further defined by three possible symmetries of H which result in real eigenvalues [3,22]. In the case of the GUE, a member of the ensemble of Hamiltonians may be constructed from [15,22]…”
Section: Level Densitymentioning
confidence: 99%
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“…The Gaussian orthogonal ensemble (GOE), Gaussian unitary ensemble (GUE) and Gaussian symplectic ensemble (GSE) are further defined by three possible symmetries of H which result in real eigenvalues [3,22]. In the case of the GUE, a member of the ensemble of Hamiltonians may be constructed from [15,22]…”
Section: Level Densitymentioning
confidence: 99%
“…In this Section, we present numerical simulations of the twopoint GUE correlation and cluster functions defined by (14) and (15) with the delta function represented by (9). Some details on how the ensemble average in (14) was coded are given in the Appendix.…”
Section: Two-point Correlation and Cluster Functions: Numerical Simulmentioning
confidence: 99%
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“…Поэтому целью нашей работы является применение теории случайных матриц для анализа колебательных свойств аморфных твердых тел. Теория случайных матриц имеет важные приложения во многих различных областях науки и техники при анализе сложных систем, состоящих из большого числа степеней свободы [14][15][16][17][18][19][20][21][22][23][24]. Однако исследуемая колебательная система имеет ряд отличительных особенностей.…”
Section: Introductionunclassified