2000 character limit reached
Computing Eigenvectors from Eigenvalues In an Arbitrary Orthonormal Basis
Published 3 Dec 2019 in math.RA | (1912.04060v1)
Abstract: The method of computing eigenvectors from eigenvalues of submatrices can be shown as equivalent to a method of computing the constraint which achieves specified stationary values of a quadratic optimization. Similarly, we show computation of eigenvectors of an orthonormal basis projection using eigenvalues of sub-projections.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.