The Spectrum of Random Matrices

Christian Bidard and Tom Schatteman

Economic Systems Research, 2001, vol. 13, issue 3, 289-298

Abstract: The Frobenius eigenvector of a positive square matrix is obtained by iterating the multiplication of an arbitrary positive vector by the matrix. Brody (1997) noticed that, when the entries of the matrix are independently and identically distributed, the speed of convergence increases statistically with the dimension of the matrix. As the speed depends on the ratio between the subdominant and the dominant eigenvalues, Brody's conjecture amounts to stating that this ratio tends to zero when the dimension tends to infinity. The paper provides a simple proof of the result. Some mathematical and economic aspects of the problem are discussed.

Keywords: Brodyy; Dominant Eigenvalues; Frobenius (search for similar items in EconPapers)
Date: 2001
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Citations: View citations in EconPapers (9)

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DOI: 10.1080/09537320120070167

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