English

Strong convergence of tensor products of independent G.U.E. matrices

Operator Algebras 2024-01-31 v2 Probability

Abstract

Given tuples of properly normalized independent N×NN\times N G.U.E. matrices (XN(1),,XN(r1))(X_N^{(1)},\dots,X_N^{(r_1)}) and (YN(1),,YN(r2))(Y_N^{(1)},\dots,Y_N^{(r_2)}), we show that the tuple (XN(1)IN,,XN(r1)IN,INYN(1),,INYN(r2))(X_N^{(1)}\otimes I_N,\dots,X_N^{(r_1)}\otimes I_N,I_N\otimes Y_N^{(1)},\dots,I_N\otimes Y_N^{(r_2)}) of N2×N2N^2\times N^2 random matrices converges strongly as NN tends to infinity. It was shown by Ben Hayes that this result implies that the Peterson-Thom conjecture is true.

Keywords

Cite

@article{arxiv.2205.07695,
  title  = {Strong convergence of tensor products of independent G.U.E. matrices},
  author = {Serban Belinschi and Mireille Capitaine},
  journal= {arXiv preprint arXiv:2205.07695},
  year   = {2024}
}

Comments

Second, longer version, providing explicit calculations for the application of the flip and the partial difference-differential on resolvents of tensor products of operators. The reader comfortable with free noncommutative functions theory might benefit more from reading the first version