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On Differentiating Eigenvalues and Eigenvectors

Published online by Cambridge University Press:  18 October 2010

Jan R. Magnus
Affiliation:
London School of Economics

Abstract

Let X0 be a square matrix (complex or otherwise) and u0 a (normalized) eigenvector associated with an eigenvalue λo of X0, so that the triple (X0, u0, λ0) satisfies the equations Xu = λu, . We investigate the conditions under which unique differentiable functions λ(X) and u(X) exist in a neighborhood of X0 satisfying λ(X0) = λO, u(X0) = u0, Xu = λu, and . We obtain the first and second derivatives of λ(X) and the first derivative of u(X). Two alternative expressions for the first derivative of λ(X) are also presented.

Type
Articles
Copyright
Copyright © Cambridge University Press 1985

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References

REFERENCES

1.Bargmann, R. E. and Nel, D. G.. On the matrix differentiation of the characteristic roots of matrices. South African Statistical Journal 8 (1974): 135144.Google Scholar
2.Lancaster, P.On eigenvalues of matrices dependent on a parameter. Numerische Mathematik 6 (1964): 377387.CrossRefGoogle Scholar
3.Magnus, J. R. and Neudecker, H.. The commutation matrix: Some properties and applications. The Annals of Statistics 7 (1979): 381394.CrossRefGoogle Scholar
4.Magnus, J. R. and Neudecker, H.. The elimination matrix: Some lemmas and applications. SIAM Journal on Algebraic and Discrete Methods 1 (1980): 422449.CrossRefGoogle Scholar
5.Neudecker, H.On matrix procedures for optimizing differentiable scalar functions of matrices. Statistica Neerlandica 21 (1967): 101107.CrossRefGoogle Scholar
6.Phillips, P.C.B.A simple proof of the latent root sensitivity formula. Economics Letters 9 (1982): 5759.CrossRefGoogle Scholar
7.Sugiura, N.Derivatives of the characteristic root of a symmetric or a hermitian matrix with two applications in multivariate analysis. Communications in Statistics 1 (1973): 393417.CrossRefGoogle Scholar