Random Matrices and Random Partitions: Normal Convergence.
Random Matrices and Random Partitions: Normal Convergence
World Scientific Series on Probability Theory and Its Applications; Volume 1
Su introduces probability limit theorems in random matrices and random partitions that look rather different at first glance but have many surprising similarities from a probabilistic viewpoint. His main concern is with normal convergence, namely central limit theorems, of various statistics from random matrices and random partitions as the model size tends to infinity. He covers normal convergence, circular unitary ensemble, Gaussian unitary ensemble, random uniform partitions, and random Placherel partitions.
([c] Ringgold, Inc., Portland, OR)
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|Article Type:||Book review|
|Date:||Aug 1, 2015|
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