RANDOM MATRIX EIGENVALUES
GUE · GOE · Poisson · Wigner surmise
-Mean spacing
-Variance
-Matrix size
-Eigenvalues
GUE (β=2): level repulsion P(s) ~ s²·e^(-πs²/4) — Wigner surmise. GOE (β=1): P(s) ~ s·e^(-πs²/4). Poisson: P(s) = e^(-s) — no repulsion. The Riemann zeros are conjectured to follow GUE statistics.