A Log-Det Inequality for Random Matrices
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Abstract
We prove a new inequality for the expectation E [log det (WQ + I)], where Q is a nonnegative definite matrix and W is a diagonal random matrix with identically distributed nonneg-ative diagonal entries. A sharp lower bound is obtained by substituting Q by the diagonal matrix of its eigenvalues Γ. Conversely, if this inequality holds for all Q and Γ, then the diagonal entries of W are necessarily identically distributed. From this general result, we derive related deterministic inequalities of Muirhead- and Rado-type. We also present some applications in information theory:
We derive bounds on the capacity of parallel Gaussian fading channels with colored additive noise and bounds on the achievable rate of noncoherent Gaussian fading channels.
BibTEX Reference Entry
@article{DoGaImMa15, author = {Meik D{\"o}rpinghaus and Norbert Gaffke and Lorens Imhof and Rudolf Mathar}, title = "A Log-Det Inequality for Random Matrices", pages = "1164-1179", journal = "Siam Journal on Matrix Analysis and Applications", volume = "36", number = "3", doi = 10.1137/140954647, month = Aug, year = 2015, hsb = RWTH-2015-04299, }
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