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Matricial approximations of higher dimensional master fields

Probability 2020-05-26 v1

Abstract

We study matricial approximations of master fields we constructed in a previous work. These approximations (in non-commutative distribution) are obtained by extracting blocks of a Brownian unitary diffusion (with entries in R,C\mathbb{R}, \mathbb{C} or K\mathbb{K}) and letting the dimension of these blocks to tend to infinity. We divide our study into two parts: in the first one, we extract square blocks while in the second one we allow rectangular blocks. In both cases, free probability theory and operator-valued free probability appear as the natural framework in which the limiting distributions are most accurately described.

Keywords

Cite

@article{arxiv.2005.12038,
  title  = {Matricial approximations of higher dimensional master fields},
  author = {Nicolas Gilliers},
  journal= {arXiv preprint arXiv:2005.12038},
  year   = {2020}
}

Comments

49 pages

R2 v1 2026-06-23T15:47:12.690Z