This book presents the first comprehensive introduction to free probability theory, a highly noncommutative probability theory with independence based on free p

This 2006 book is a self-contained introduction to free probability theory suitable for an introductory graduate level course.

The book treats free probability theory, which has been extensively developed since the early 1980s. The emphasis is put on entropy and the random matrix model

The classic "Limit Dislribntions fOT slt1ns of Independent Ramdorn Vari ables" by B.V. Gnedenko and A.N. Kolmogorov was published in 1949. Since then the theory

This volume opens the world of free probability to a wide variety of readers. From its roots in the theory of operator algebras, free probability has intertwine