Approximating the spectral radius of sets of matrices in the max-algebra is NP-Hard

Blondel, Vincent;Gaubert, S;Tsitsiklis, John
(2000) IEEE Transactions on Automatic Control — Vol. 45, n° 9, p. 1762-1765 (2000)

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Abstract
The lower and average spectral radii measure, respectively, the minimal and average growth rates of long products of matrices taken From a finite set. The logarithm of the average spectral radius is traditionally called Lyapunov exponent. When one performs these products in the max-algebra, we obtain quantities that measure the performance of Discrete Event Systems. We show that approximating the lower and average max-algebraic spectral radii is NP-hard.
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Blondel, V., Gaubert, S., & Tsitsiklis, J. (2000). Approximating the spectral radius of sets of matrices in the max-algebra is NP-Hard. IEEE Transactions on Automatic Control, 45(9), 1762-1765. https://doi.org/10.1109/9.880644 (Original work published 2000)