Abstract
AbstractIn this chapter we review certain basic concepts from linear algebra. Although our treatment is self-contained, the reader is assumed to be familiar with the basic operations on matrices. After reviewing basic matrix operations and definitions, we recall concepts such as Schur complement, inverse of a partitioned matrix and Cauchy–Binet formula. Important properties of eigenvalues of symmetric matrices, including Spectral Theorem and Interlacing Theorem are reviewed. Basic notions of generalized inverses, including Moore–Penrose inverse are stated. Relevant concepts and results are given, although we omit the proofs.KeywordsMoore-Penrose InverseSchur ComplementCauchy-Binet FormulaAdditional Matrix OperationsFull Column RankThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.