Article (Scientific journals)
Rank-preserving geometric means of positive semi-definite matrices
Bonnabel, Silvère; Collard, Anne; Sepulchre, Rodolphe
2013In Linear Algebra and its Applications, 438 (8), p. 3202-3216
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Keywords :
matrix means; geometric mean; positive semi-definite matrices; Riemannian geometry; symmetries; singular value decomposition; principal angles
Abstract :
[en] The generalization of the geometric mean of positive scalars to positive definite matrices has attracted considerable attention since the seminal work of Ando. The paper generalizes this framework of matrix means by proposing the definition of a rank-preserving mean for two or an arbitrary number of positive semi-definite matrices of fixed rank. The proposed mean is shown to be geometric in that it satisfies all the expected properties of a rank-preserving geometric mean. The work is motivated by operations on low-rank approximations of positive definite matrices in high-dimensional spaces.
Disciplines :
Mathematics
Author, co-author :
Bonnabel, Silvère;  Mines ParisTech > Centre de robotique
Collard, Anne ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Sepulchre, Rodolphe ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Rank-preserving geometric means of positive semi-definite matrices
Publication date :
2013
Journal title :
Linear Algebra and its Applications
ISSN :
0024-3795
eISSN :
1873-1856
Publisher :
Elsevier Science, New York, United States - New York
Volume :
438
Issue :
8
Pages :
3202-3216
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 21 August 2013

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