HIGHER ORDER FRECHET DERIVATIVES OF MATRIX FUNCTIONS AND THE LEVEL-2 CONDITION NUMBER

被引:16
作者
Higham, Nicholas J. [1 ]
Relton, Samuel D. [1 ]
机构
[1] Univ Manchester, Sch Math, Manchester M13 9PL, Lancs, England
基金
英国工程与自然科学研究理事会; 欧洲研究理事会;
关键词
matrix function; Frechet derivative; Cateaux derivative; higher order derivative; matrix exponential; matrix logarithm; matrix square root; matrix inverse; matrix calculus; partial derivative; Kronecker form; level-2 condition number; expm; logm; sqrtm; MATLAB; ALGORITHM; SUM;
D O I
10.1137/130945259
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The Frechet derivative L-f of a matrix function f : C-nxn bar right arrow C-nxn controls the sensitivity of the function to small perturbations in the matrix. While much is known about the properties of L-f and how to compute it, little attention has been given to higher order Frechet derivatives. We derive sufficient conditions for the kth Frechet derivative to exist and be continuous in its arguments and we develop algorithms for computing the kth derivative and its Kronecker form. We analyze the level-2 absolute condition number of a matrix function ("the condition number of the condition number") and bound it in terms of the second Frechet derivative. For normal matrices and the exponential we show that in the 2-norm the level-1 and level-2 absolute condition numbers are equal and that the relative condition numbers are within a small constant factor of each other. We also obtain an exact relationship between the level-1 and level-2 absolute condition numbers for the matrix inverse and arbitrary nonsingular matrices, as well as a weaker connection for Hermitian matrices for a class of functions that includes the logarithm and square root. Finally, the relation between the level-1 and level-2 condition numbers is investigated more generally through numerical experiments.
引用
收藏
页码:1019 / 1037
页数:19
相关论文
共 36 条
[1]  
Ahipasaoglu S. D., 2013, 4034 OPT ONL
[2]   COMPUTING THE FRECHET DERIVATIVE OF THE MATRIX LOGARITHM AND ESTIMATING THE CONDITION NUMBER [J].
Al-Mohy, Awad H. ;
Higham, Nicholas J. ;
Relton, Samuel D. .
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2013, 35 (04) :C394-C410
[3]   A NEW SCALING AND SQUARING ALGORITHM FOR THE MATRIX EXPONENTIAL [J].
Al-Mohy, Awad H. ;
Higham, Nicholas J. .
SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 2009, 31 (03) :970-989
[4]   Geometric constructions of iterative functions to solve nonlinear equations [J].
Amat, S ;
Busquier, S ;
Gutiérrez, JM .
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2003, 157 (01) :197-205
[5]   AN ONLINE METHOD FOR INTERPOLATING LINEAR PARAMETRIC REDUCED-ORDER MODELS [J].
Amsallem, David ;
Farhat, Charbel .
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2011, 33 (05) :2169-2198
[6]  
[Anonymous], 2008, Functions of matrices: theory and computation
[7]   Symmetric diffeomorphic modeling of longtudinal structural MRI [J].
Ashburner, John ;
Ridgway, Gerard R. .
FRONTIERS IN NEUROSCIENCE, 2013, 6
[8]  
ATHANS M, 1965, 196553 MIT LINC LAB
[9]  
Bhatia R., 1997, Matrix Analysis
[10]   AN EFFICIENT IMPLICIT FEM SCHEME FOR FRACTIONAL-IN-SPACE REACTION-DIFFUSION EQUATIONS [J].
Burrage, Kevin ;
Hale, Nicholas ;
Kay, David .
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2012, 34 (04) :A2145-A2172