In the scalar setting, Bennett and Bernstein inequalities describe the upper tail of a sum of independent, zero-mean random variables that are either bounded or subexponential.
Consider a finite sequence \{\mathbf{X}_k\} of independent, random, self-adjoint matrices with dimension d.