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                                       Details for article 143 of 152 found articles
 
 
  The Subdominant Eigenvalue of a Large Stochastic Matrix
 
 
Title: The Subdominant Eigenvalue of a Large Stochastic Matrix
Author: Molnar, Gyorgy
Simonovits, Andras
Appeared in: Economic systems research
Paging: Volume 10 (1998) nr. 1 pages 79-82
Year: 1998-03
Contents: Using intuition and computer experimentation, Brady conjectured that the ratio of the subdominant eigenvalue to the dominant eigenvalue of a positive random matrix (with identically and independently distributed entries) converges to zero when the number of the sectors tends to infinity. In this paper, we discuss the deterministic case and, among other things, prove the following version of this conjecture: if each entry of the matrix deviates from 1/n by at most θ/n1+е, then the modulus of the subdominant root is at most θ/nе where θ and ε are arbitrary positive real parameters.
Publisher: Routledge
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 143 of 152 found articles
 
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