Applied Mathematics and Mechanics (English Edition) ›› 2014, Vol. 35 ›› Issue (4): 437-452.doi: https://doi.org/10.1007/s10483-014-1803-6

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Improved modal truncation method for eigensensitivity analysis of asymmetric matrix with repeated eigenvalues

张振宇   

  1. Department of Applied Mathematics, Shanghai University of Finance and Economics, Shanghai 200433, P. R. China
  • 收稿日期:2012-07-24 修回日期:2013-05-31 出版日期:2014-04-09 发布日期:2014-04-01
  • 通讯作者: Zhen-yu ZHANG, Associate Professor, Ph.D. E-mail:Zhen-yu ZHANG, Associate Professor, Ph.D.

Improved modal truncation method for eigensensitivity analysis of asymmetric matrix with repeated eigenvalues

 ZHANG Zhen-Yu   

  1. Department of Applied Mathematics, Shanghai University of Finance and Economics, Shanghai 200433, P. R. China
  • Received:2012-07-24 Revised:2013-05-31 Online:2014-04-09 Published:2014-04-01
  • Contact: Zhen-yu ZHANG, Associate Professor, Ph.D. E-mail:Zhen-yu ZHANG, Associate Professor, Ph.D.

摘要: An improved modal truncation method with arbitrarily high order accuracy is developed for calculating the second- and third-order eigenvalue derivatives and the first- and second-order eigenvector derivatives of an asymmetric and non-defective matrix with repeated eigenvalues. If the different eigenvalues λ1, λ2, · · · , λr of the matrix satisfy |λ1| <= · · ·<= |λr| and |λs| < |λs+1| (s <= r−1), then associated with any eigenvalue λi (i <=s), the errors of the eigenvalue and eigenvector derivatives obtained by the qth-order approximate method are proportional to |λis+1|q+1, where the approximate method only uses the eigenpairs corresponding to λ1, λ2, · · · , λs. A numerical example shows the validity of the approximate method. The numerical example also shows that in order to get the approximate solutions with the same order accuracy, a higher order method should be used for higher order eigenvalue and eigenvector derivatives.

关键词: liquid-vapor interfacial tension, modal truncation method, eigenvector derivative, asymmetric matrix, repeated eigenvalue, soft substrate, wetting, surface deformation, vertical component, contact angle (CA)

Abstract: An improved modal truncation method with arbitrarily high order accuracy is developed for calculating the second- and third-order eigenvalue derivatives and the first- and second-order eigenvector derivatives of an asymmetric and non-defective matrix with repeated eigenvalues. If the different eigenvalues λ1, λ2, · · · , λr of the matrix satisfy |λ1| <= · · ·<= |λr| and |λs| < |λs+1| (s <= r−1), then associated with any eigenvalue λi (i <=s), the errors of the eigenvalue and eigenvector derivatives obtained by the qth-order approximate method are proportional to |λis+1|q+1, where the approximate method only uses the eigenpairs corresponding to λ1, λ2, · · · , λs. A numerical example shows the validity of the approximate method. The numerical example also shows that in order to get the approximate solutions with the same order accuracy, a higher order method should be used for higher order eigenvalue and eigenvector derivatives.

Key words: vertical component, modal truncation method, eigenvector derivative, asymmetric matrix, repeated eigenvalue, contact angle (CA), surface deformation, liquid-vapor interfacial tension, soft substrate, wetting

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