Joint distributions of eigenvectors of symmetric random tensors

Abstract

We compute the joint distributions of arbitrary numbers of eigenvectors of real and complex symmetric random tensors by the quantum field theoretical methods which were previously used to compute the mean distributions. We obtain the random matrix representations and the large-dimension asymptotics of the joint distributions. The latter can be expressed by a common function of tensor geometries, extending the universality found for the mean distributions to the joint distributions. Several crosschecks of our results are carried out by Monte Carlo computations.

46 pages, 4 figures. v2: A proof of commutativity between large N and epsilon zero limits is provided in Appendix. Other minor corrections