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The bead process for beta ensembles.

Joseph NajnudelBálint Virág
Published in: Probability theory and related fields (2021)
The bead process introduced by Boutillier is a countable interlacing of the Sine 2 point processes. We construct the bead process for general Sine β processes as an infinite dimensional Markov chain whose transition mechanism is explicitly described. We show that this process is the microscopic scaling limit in the bulk of the Hermite β corner process introduced by Gorin and Shkolnikov, generalizing the process of the minors of the Gaussian Unitary and Orthogonal Ensembles. In order to prove our results, we use bounds on the variance of the point counting of the circular and the Gaussian beta ensembles, proven in a companion paper (Najnudel and Virág in Some estimates on the point counting of the Circular and the Gaussian Beta Ensemble, 2019).
Keyphrases
  • machine learning
  • convolutional neural network