Publication | Open Access
Angles between subspaces and their tangents
72
Citations
17
References
2013
Year
Integral GeometryMathematical ProgrammingNumerical AnalysisEngineeringGeometryData MiningPrincipal AnglesCanonical AnglesNorm (Mathematics)Multilinear Subspace LearningInverse ProblemsComputer ScienceMatrix MethodMatrix TheoryMatrix AnalysisComputational GeometryApproximation TheoryLow-rank Approximation
Principal angles between subspaces (PABS) (also called canonical angles) serve as a classical tool in mathematics, statistics, and applications, e.g., data mining. Traditionally, PABS are introduced via their cosines. The cosines and sines of PABS are commonly defined using the singular value decomposition. We utilize the same idea for the tangents, i.e., explicitly construct matrices, such that their singular values are equal to the tangents of PABS, using several approaches: orthonormal and non-orthonormal bases for subspaces, as well as projectors. Such a construction has applications, e.g., in analysis of convergence of subspace iterations for eigenvalue problems.
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