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In Theorem 4 below we prove that the space of shifted singular polynomials is isomorphic to that of singular polynomials as C S n -modules, and it has a basis consisting of

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In the next theorem, we show constructively that the equation (2.1) has non-trivial solutions for a large groupof two by two matrices A (over the real numbers)..

SAS ∗ with some invertible bounded linear or conjugate-linear operator S on H pre- serves Lebesgue decompositions in both directions, we see that the transformation in (2.5) is

A real matrix with nonnegative entries and having a largest eigenvalue of multiplicity just one has a strictly positive left eigenvector (see the Appendix) if and only if there

Heuristically, Theorem 1 can be interpreted as saying that, for a large number of high-dimensional data vectors, as long as they have nearly the same lengths and are nearly

Keywords: Total variation distance; Non-central limit theorem; Fractional Brownian motion; Hermite power variation; Multiple stochastic integrals; Hermite random