Motivated by recent work on optimal approximation by polynomials in the unit disk, we consider the following noncommutative approximation problem: for a polynomial in freely noncommuting arguments, find a free polynomial , of degree at most , to minimize . (Here the norm is the norm on coefficients.) We show that if and only if is nonsingular in a certain nc domain (the row ball), and prove quantitative bounds. As an application, we obtain a new proof of the characterization of polynomials cyclic for the -shift.
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This content will become publicly available on April 1, 2026
Six-vertex model and random matrix distributions
We survey the connections between the six-vertex (square ice) model of 2D statistical mechanics and random matrix theory. We highlight the same universal probability distributions appearing on both sides, and also indicate related open questions and conjectures. We present full proofs of two asymptotic theorems for the six-vertex model: in the first one the Gaussian Unitary Ensemble (GUE) and GUE–corners process appear; the second one leads to the Tracy–Widom distribution . While both results are not new, we found shorter transparent proofs for this text. On our way we introduce the key tools in the study of the six-vertex model, including the Yang–Baxter equation and the Izergin–Korepin formula.
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- Award ID(s):
- 2246449
- PAR ID:
- 10638904
- Publisher / Repository:
- AMS
- Date Published:
- Journal Name:
- Bulletin of the American Mathematical Society
- Volume:
- 62
- Issue:
- 2
- ISSN:
- 0273-0979
- Page Range / eLocation ID:
- 175 to 234
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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