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... respectively, for x = (x1 , . . . , xn ) ∈ Rn . Let L(Rn ; Rm ) be the set of linear maps from Rn to Rm , which we identify with the set of m × n matrices in the usual way. If A ∈ L(Rn ; Rm ) and if p, q ∈ {1, 2, ∞} then the norm of A induced by the p-norm on Rn and the q-norm on Rm is kAkp,q = sup{ ...
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Math 304–504 Linear Algebra Lecture 24: Orthogonal subspaces.

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Perron–Frobenius theorem

In linear algebra, the Perron–Frobenius theorem, proved by Oskar Perron (1907) and Georg Frobenius (1912), asserts that a real square matrix with positive entries has a unique largest real eigenvalue and that the corresponding eigenvector can be chosen to have strictly positive components, and also asserts a similar statement for certain classes of nonnegative matrices. This theorem has important applications to probability theory (ergodicity of Markov chains); to the theory of dynamical systems (subshifts of finite type); to economics (Okishio's theorem, Leontief's input-output model); to demography (Leslie population age distribution model), to Internet search engines and even ranking of football teams.
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