law in random matrix theory
C62680
concept
A law in random matrix theory is a probabilistic rule or theorem that characterizes the limiting distribution or statistical behavior of eigenvalues or related quantities of large random matrices.
Observed surface forms (3)
- distribution in random matrix theory ×1
- phase transition in random matrix theory ×1
- theorem in random matrix theory ×1
Instances (4)
- Wigner semicircle law via concept surface "theorem in random matrix theory"
- Marchenko–Pastur law
- Tracy–Widom distribution via concept surface "distribution in random matrix theory"
- BBP phase transition via concept surface "phase transition in random matrix theory"