Convexity properties of the condition number II

In our previous paper [SIAM J. Matrix Anal. Appl., 31 (2010), pp. 1491-1506], we studied the condition metric in the space of maximal rank n × m matrices. Here, we show that this condition metric induces a Lipschitz Riemannian structure on that space. After investigating geodesics in such a nonsmoot...

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Autores principales: Beltrán, C., Dedieu, J.-P., Malajovich, G., Shub, M.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_08954798_v33_n3_p905_Beltran
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spelling todo:paper_08954798_v33_n3_p905_Beltran2023-10-03T15:42:22Z Convexity properties of the condition number II Beltrán, C. Dedieu, J.-P. Malajovich, G. Shub, M. Condition number Convexity Lipschitz Riemannian structure Self-convexity Condition numbers Convexity Convexity properties Covariant Intermediate results Lipschitz Log-convex functions M-matrices Non-smooth Path-following algorithm Piece-wise Polynomial systems Riemannian structure Self-convexity Singular values Convex optimization Functions Linear systems Number theory Matrix algebra In our previous paper [SIAM J. Matrix Anal. Appl., 31 (2010), pp. 1491-1506], we studied the condition metric in the space of maximal rank n × m matrices. Here, we show that this condition metric induces a Lipschitz Riemannian structure on that space. After investigating geodesics in such a nonsmooth structure, we show that the inverse of the smallest singular value of a matrix is a log-convex function along geodesics. We also show that a similar result holds for the solution variety of linear systems. Some of our intermediate results such as those on the second covariant derivative or Hessian of a function with symmetries on a manifold, and those on piecewise self-convex functions, are of independent interest. Those results were motivated by our investigations on the complexity of path-following algorithms for solving polynomial systems. © 2012 Society for Industrial and Applied Mathematics. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_08954798_v33_n3_p905_Beltran
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Condition number
Convexity
Lipschitz Riemannian structure
Self-convexity
Condition numbers
Convexity
Convexity properties
Covariant
Intermediate results
Lipschitz
Log-convex functions
M-matrices
Non-smooth
Path-following algorithm
Piece-wise
Polynomial systems
Riemannian structure
Self-convexity
Singular values
Convex optimization
Functions
Linear systems
Number theory
Matrix algebra
spellingShingle Condition number
Convexity
Lipschitz Riemannian structure
Self-convexity
Condition numbers
Convexity
Convexity properties
Covariant
Intermediate results
Lipschitz
Log-convex functions
M-matrices
Non-smooth
Path-following algorithm
Piece-wise
Polynomial systems
Riemannian structure
Self-convexity
Singular values
Convex optimization
Functions
Linear systems
Number theory
Matrix algebra
Beltrán, C.
Dedieu, J.-P.
Malajovich, G.
Shub, M.
Convexity properties of the condition number II
topic_facet Condition number
Convexity
Lipschitz Riemannian structure
Self-convexity
Condition numbers
Convexity
Convexity properties
Covariant
Intermediate results
Lipschitz
Log-convex functions
M-matrices
Non-smooth
Path-following algorithm
Piece-wise
Polynomial systems
Riemannian structure
Self-convexity
Singular values
Convex optimization
Functions
Linear systems
Number theory
Matrix algebra
description In our previous paper [SIAM J. Matrix Anal. Appl., 31 (2010), pp. 1491-1506], we studied the condition metric in the space of maximal rank n × m matrices. Here, we show that this condition metric induces a Lipschitz Riemannian structure on that space. After investigating geodesics in such a nonsmooth structure, we show that the inverse of the smallest singular value of a matrix is a log-convex function along geodesics. We also show that a similar result holds for the solution variety of linear systems. Some of our intermediate results such as those on the second covariant derivative or Hessian of a function with symmetries on a manifold, and those on piecewise self-convex functions, are of independent interest. Those results were motivated by our investigations on the complexity of path-following algorithms for solving polynomial systems. © 2012 Society for Industrial and Applied Mathematics.
format JOUR
author Beltrán, C.
Dedieu, J.-P.
Malajovich, G.
Shub, M.
author_facet Beltrán, C.
Dedieu, J.-P.
Malajovich, G.
Shub, M.
author_sort Beltrán, C.
title Convexity properties of the condition number II
title_short Convexity properties of the condition number II
title_full Convexity properties of the condition number II
title_fullStr Convexity properties of the condition number II
title_full_unstemmed Convexity properties of the condition number II
title_sort convexity properties of the condition number ii
url http://hdl.handle.net/20.500.12110/paper_08954798_v33_n3_p905_Beltran
work_keys_str_mv AT beltranc convexitypropertiesoftheconditionnumberii
AT dedieujp convexitypropertiesoftheconditionnumberii
AT malajovichg convexitypropertiesoftheconditionnumberii
AT shubm convexitypropertiesoftheconditionnumberii
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