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How Good is Hadamard’s Inequality for Determinants?
Published online by Cambridge University Press: 20 November 2018
Abstract
Let A be a real n × n matrix and define the Hadamard ratio h(A) to be the absolute value of det A divided by the product of the Euclidean norms of the columns of A. It is shown that if A is a random variable whose distribution satisfies some simple symmetry properties then the random variable log h(A) has mean and variance . In particular, for each ε > 0, the probability that h(A) lies in the range tends to 1 as n tends to ∞.
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- Copyright © Canadian Mathematical Society 1984
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