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A recent development in random matrix theory, the intrinsic freeness principle, establishes that the spectrum of very general random matrices behaves as that of an associated free operator.
Computing norms of free operators with matrix coefficients
F. Lehner · 1999
Earlier work this paper cites.
A new application of random matrices: Ext ( C red ∗ ( F 2 ) ) {\rm Ext}(C^{*}_{\rm red}(F_{2})) is not a group
U. Haagerup and S. Thorbjørnsen · 2005
Earlier work this paper cites.
The Schur complement and its applications
F. Zhang, editor · 2005
Earlier work this paper cites.
Lectures on the combinatorics of free probability
A. Nica and R. Speicher · 2006
Cited alongside, same era.
Matrix concentration inequalities and free probability
A. S. Bandeira, M. T. Boedihardjo, and R. van Handel · 2023
Cited alongside, same era.
Matrix concentration inequalities and free probability II. Two-sided bounds and applications, 2024
A. S. Bandeira, G. Cipolloni, D. Schröder, and R. van Handel · 2024
Cited alongside, same era.
Universality and sharp matrix concentration inequalities
T. Brailovskaya and R. van Handel · 2024
Later among the works it cites.
The strong convergence phenomenon
R. van Handel · 2026
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