The Annals of Probability

Matrix concentration inequalities via the method of exchangeable pairs

Lester Mackey, Michael I. Jordan, Richard Y. Chen, Brendan Farrell, and Joel A. Tropp

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This paper derives exponential concentration inequalities and polynomial moment inequalities for the spectral norm of a random matrix. The analysis requires a matrix extension of the scalar concentration theory developed by Sourav Chatterjee using Stein’s method of exchangeable pairs. When applied to a sum of independent random matrices, this approach yields matrix generalizations of the classical inequalities due to Hoeffding, Bernstein, Khintchine and Rosenthal. The same technique delivers bounds for sums of dependent random matrices and more general matrix-valued functions of dependent random variables.

Article information

Ann. Probab., Volume 42, Number 3 (2014), 906-945.

First available in Project Euclid: 26 March 2014

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Zentralblatt MATH identifier

Primary: 60B20: Random matrices (probabilistic aspects; for algebraic aspects see 15B52) 60E15: Inequalities; stochastic orderings
Secondary: 60G09: Exchangeability 60F10: Large deviations

Concentration inequalities moment inequalities Stein’s method exchangeable pairs random matrix noncommutative


Mackey, Lester; Jordan, Michael I.; Chen, Richard Y.; Farrell, Brendan; Tropp, Joel A. Matrix concentration inequalities via the method of exchangeable pairs. Ann. Probab. 42 (2014), no. 3, 906--945. doi:10.1214/13-AOP892.

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