Random Matrix Theory and Its Applications - Lecture 5

Random Matrix Theory and Its Applications - Lecture 5

International Centre for Theoretical Sciences via YouTube Direct link

F.G. Tricomi, 1957

11 of 15

11 of 15

F.G. Tricomi, 1957

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Random Matrix Theory and Its Applications - Lecture 5

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  1. 1 Recap - Rot inv ensembles Gaussian
  2. 2 Two approaches - finite N approach
  3. 3 Large N continuum approach
  4. 4 What is the typical scale of lambda?
  5. 5 Large N - coarse graining
  6. 6 Step 1: Introduce an empirical density
  7. 7 Step 2: Coarse graining - Partial tracing
  8. 8 Saddle point method
  9. 9 Finite support of the charged density
  10. 10 Cauchy singular value equation
  11. 11 F.G. Tricomi, 1957
  12. 12 Famous Wigner semi-circular law
  13. 13 Scale of interparticle distance
  14. 14 Asymptotic properties
  15. 15 Tracy & Widom, 1994

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