Lecture : Basic Matrix Results ( 3 of 3 )
نویسنده
چکیده
row/column have eigenvalues with absolute value strictly less than λmax = ρA. Informally, this says: ρA increases when any entry of A increases. 3. That eigenvalue ρA has algebraic and geometric multiplicity equal to one. 4. If y ≥ 0, y 6= 0 is a vector and μ is a number such that Ay ≤ μy, then y > 0 and μ ≥ λmax; with μ = λmax iff y is a multiple of x. Informally, this says: there is no other non-negative eigenvector of A different than x.
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تاریخ انتشار 2015