"Random matrix"의 두 판 사이의 차이

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* [[Random matrix theory over finite fields]]
 
* [[Random matrix theory over finite fields]]
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* [[Gaussian Orthogonal Ensemble]]
  
 
==encyclopedia==
 
==encyclopedia==

2016년 6월 13일 (월) 00:47 판

introduction

  • The ensembles of random matrices obtained are called Gaussian Orthogonal (GOE), Unitary (GUE), and Symplectic (GSE) Ensembles for = 1, = 2, and = 4 respectively.
  • Catalan numbers and random matrices

Random Matrix Theory is a paradigm for describing and understanding a variety of phenomena in physics, mathematics, and potentially other disciplines. The theory was born in the early 1950s when theoretical physicist Eugene Wigner suggested that the problem of determining the energy level spacings of heavy nuclei - intractable by analytic means - might be modeled after the spectrum of a large random matrix.



random self-adjoint matrices

  • Wigner matrices
  • Band magtrices
  • Wishart matrix
  • Heavy tails matrices
  • Adjacency matrix of Erdos-Renyi graph



Gaussian Wigner matrices



Gaussian Unitary Ensemble(GUE) hypothesis

  • Wigner's work on neutron scattering resonances
  • Hugh Montgomety and Freeman Dyson
    • pair correlation function of zeroes of riemann zeta function
  • GUE is a big open problem but proven for random matrix models

GUE Tracy-Widom distribution

determinantal processes



history



related items

encyclopedia


books



expositions

articles

  • Miklós Kornyik, György Michaletzky, Wigner matrices, the moments of roots of Hermite polynomials and the semicircle law, arXiv:1512.03724 [math.CA], November 23 2015, http://arxiv.org/abs/1512.03724
  • Percy Deift, Thomas Trogdon, Universality for the Toda algorithm to compute the eigenvalues of a random matrix, arXiv:1604.07384 [math.PR], April 25 2016, http://arxiv.org/abs/1604.07384
  • Forrester, Peter J. “Analogies between Random Matrix Ensembles and the One-Component Plasma in Two-Dimensions.” arXiv:1511.02946 [cond-Mat, Physics:math-Ph], November 9, 2015. http://arxiv.org/abs/1511.02946.
  • Kakei, Saburo. “Hirota Bilinear Approach to GUE, NLS, and Painlev’e IV.” arXiv:1510.07560 [math-Ph, Physics:nlin], October 26, 2015. http://arxiv.org/abs/1510.07560.
  • Joyner, Christopher H., and Uzy Smilansky. ‘Dyson’s Brownian-Motion Model for Random Matrix Theory - Revisited. With an Appendix by Don Zagier’. arXiv:1503.06417 [cond-Mat, Physics:math-Ph], 22 March 2015. http://arxiv.org/abs/1503.06417.
  • A Note on the Eigenvalue Density of Random Matrices, Michael K.-H. Kiessling and Herbert Spohn
  • Farmer, David W. “On the Neighbor Spacing of Eigenvalues of Unitary Matrices.” arXiv:0709.4529 [math-Ph], September 28, 2007. http://arxiv.org/abs/0709.4529.