Numerical shadows: measures and densities on the numerical range
arXiv:1010.4189 · doi:10.1016/j.laa.2010.12.003
Abstract
For any operator acting on an -dimensional Hilbert space we introduce its numerical shadow, which is a probability measure on the complex plane supported by the numerical range of . The shadow of at point is defined as the probability that the inner product is equal to , where stands for a random complex vector from , satisfying . In the case of N=2 the numerical shadow of a non-normal operator can be interpreted as a shadow of a hollow sphere projected on a plane. A similar interpretation is provided also for higher dimensions. For a hermitian its numerical shadow forms a probability distribution on the real axis which is shown to be a one dimensional -spline. In the case of a normal the numerical shadow corresponds to a shadow of a transparent solid simplex in onto the complex plane. Numerical shadow is found explicitly for Jordan matrices , direct sums of matrices and in all cases where the shadow is rotation invariant. Results concerning the moments of shadow measures play an important role. A general technique to study numerical shadow via the Cartesian decomposition is described, and a link of the numerical shadow of an operator to its higher-rank numerical range is emphasized.
37 pages, 8 figures
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Cited by in corpus (9)
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- Real numerical shadow and generalized B-splines
- On a multi-dimesional generalization of the notion of orthostochastic and unistochastic matrices
- On circular Kippenhahn curves and the Gau-Wang-Wu conjecture about nilpotent partial isometries