Publication | Closed Access
Tensor logarithmic norm and its applications
21
Citations
29
References
2016
Year
EngineeringEntropyTensor Logarithmic NormComplex TensorNorm (Mathematics)Tensor Logarithmic NormsNonlinear Dynamical SystemsMultilinear Subspace LearningFunctional AnalysisLow-rank ApproximationStability
Summary Matrix logarithmic norm is an important quantity, which characterize the stability of linear dynamical systems. We propose the logarithmic norms for tensors and tensor pairs, and extend some classical results from the matrix case. Moreover, the explicit forms of several tensor logarithmic norms and semi‐norms are also derived. Employing the tensor logarithmic norms, we bound the real parts of all the eigenvalues of a complex tensor and study the stability of a class of nonlinear dynamical systems. Copyright © 2016 John Wiley & Sons, Ltd.
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