Abstract
Schur complements arise naturally in the process of inverting block matrices of the form
and in characterizing when symmetric versions of these matrices are positive definite or positive semidefinite. These characterizations come up in various quadratic optimization problems; see Boyd and Vandenberghe [1], especially Appendix B. In the most general case, pseudo-inverses are also needed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Stephen Boyd and Lieven Vandenberghe. Convex Optimization. Cambridge University Press, first edition, 2004.
Roger A. Horn and Charles R. Johnson. Matrix Analysis. Cambridge University Press, first edition, 1990.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2011 Springer Science+Businees Media, LLC
About this chapter
Cite this chapter
Gallier, J. (2011). Schur Complements and Applications. In: Geometric Methods and Applications. Texts in Applied Mathematics, vol 38. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9961-0_16
Download citation
DOI: https://doi.org/10.1007/978-1-4419-9961-0_16
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-9960-3
Online ISBN: 978-1-4419-9961-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)