Eigenvalue Estimates Using the Kolmogorov-Sinai Entropy
نویسنده
چکیده
The scope of this paper is twofold. First, we use the Kolmogorov-Sinai Entropy to estimate lower bounds for dominant eigenvalues of nonnegative matrices. The lower bound is better than the Rayleigh quotient. Second, we use this estimate to give a nontrivial lower bound for the gaps of dominant eigenvalues ofA and A+V.
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ورودعنوان ژورنال:
- Entropy
دوره 13 شماره
صفحات -
تاریخ انتشار 2011