Change in eigenvector when new rows and columns are added to a matrix












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I have a matrix $mathbf{X}$ and I use the eigenvectors of the symmetric matrix $mathbf{X}^{top}mathbf{X}$ for further analysis. But the $mathbf{X}$ is always growing, as new data points are added to it. I do not want to calculate the eigenvectors each time new rows are added to $mathbf{X}$. One fairly good assumption regarding the new rows are: in most cases the newly added rows are linear combinations of the existing rows. But in rare cases, it can be independent also.



Is there any quantification of the changes in the eigenvectors of $mathbf{X^top X}$ as new rows are added to $mathbf{X}$ ?. Any one can point me to me related papers ?










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  • $begingroup$
    this seems related to the Bunch-Nielsen-Sorensen formula
    $endgroup$
    – tch
    Jan 12 at 19:09












  • $begingroup$
    @tch, in that specific problem, the dimension of the matrix remains same. I think it is equivalent to changing entries of a symmetric matrix. But in my case, the matrix is incrementally builds by adding new rows and columns.
    $endgroup$
    – Shew
    Jan 13 at 12:14










  • $begingroup$
    But the matrix $X^TX$ stays the same size even if X gets new rows. In particular $X^TX=sum_i x_i x_i^T$ where $x_i$ are the rows of $X$.
    $endgroup$
    – tch
    Jan 13 at 15:38
















0












$begingroup$


I have a matrix $mathbf{X}$ and I use the eigenvectors of the symmetric matrix $mathbf{X}^{top}mathbf{X}$ for further analysis. But the $mathbf{X}$ is always growing, as new data points are added to it. I do not want to calculate the eigenvectors each time new rows are added to $mathbf{X}$. One fairly good assumption regarding the new rows are: in most cases the newly added rows are linear combinations of the existing rows. But in rare cases, it can be independent also.



Is there any quantification of the changes in the eigenvectors of $mathbf{X^top X}$ as new rows are added to $mathbf{X}$ ?. Any one can point me to me related papers ?










share|cite|improve this question









$endgroup$












  • $begingroup$
    this seems related to the Bunch-Nielsen-Sorensen formula
    $endgroup$
    – tch
    Jan 12 at 19:09












  • $begingroup$
    @tch, in that specific problem, the dimension of the matrix remains same. I think it is equivalent to changing entries of a symmetric matrix. But in my case, the matrix is incrementally builds by adding new rows and columns.
    $endgroup$
    – Shew
    Jan 13 at 12:14










  • $begingroup$
    But the matrix $X^TX$ stays the same size even if X gets new rows. In particular $X^TX=sum_i x_i x_i^T$ where $x_i$ are the rows of $X$.
    $endgroup$
    – tch
    Jan 13 at 15:38














0












0








0





$begingroup$


I have a matrix $mathbf{X}$ and I use the eigenvectors of the symmetric matrix $mathbf{X}^{top}mathbf{X}$ for further analysis. But the $mathbf{X}$ is always growing, as new data points are added to it. I do not want to calculate the eigenvectors each time new rows are added to $mathbf{X}$. One fairly good assumption regarding the new rows are: in most cases the newly added rows are linear combinations of the existing rows. But in rare cases, it can be independent also.



Is there any quantification of the changes in the eigenvectors of $mathbf{X^top X}$ as new rows are added to $mathbf{X}$ ?. Any one can point me to me related papers ?










share|cite|improve this question









$endgroup$




I have a matrix $mathbf{X}$ and I use the eigenvectors of the symmetric matrix $mathbf{X}^{top}mathbf{X}$ for further analysis. But the $mathbf{X}$ is always growing, as new data points are added to it. I do not want to calculate the eigenvectors each time new rows are added to $mathbf{X}$. One fairly good assumption regarding the new rows are: in most cases the newly added rows are linear combinations of the existing rows. But in rare cases, it can be independent also.



Is there any quantification of the changes in the eigenvectors of $mathbf{X^top X}$ as new rows are added to $mathbf{X}$ ?. Any one can point me to me related papers ?







linear-algebra eigenvalues-eigenvectors






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share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Jan 12 at 19:04









ShewShew

570413




570413












  • $begingroup$
    this seems related to the Bunch-Nielsen-Sorensen formula
    $endgroup$
    – tch
    Jan 12 at 19:09












  • $begingroup$
    @tch, in that specific problem, the dimension of the matrix remains same. I think it is equivalent to changing entries of a symmetric matrix. But in my case, the matrix is incrementally builds by adding new rows and columns.
    $endgroup$
    – Shew
    Jan 13 at 12:14










  • $begingroup$
    But the matrix $X^TX$ stays the same size even if X gets new rows. In particular $X^TX=sum_i x_i x_i^T$ where $x_i$ are the rows of $X$.
    $endgroup$
    – tch
    Jan 13 at 15:38


















  • $begingroup$
    this seems related to the Bunch-Nielsen-Sorensen formula
    $endgroup$
    – tch
    Jan 12 at 19:09












  • $begingroup$
    @tch, in that specific problem, the dimension of the matrix remains same. I think it is equivalent to changing entries of a symmetric matrix. But in my case, the matrix is incrementally builds by adding new rows and columns.
    $endgroup$
    – Shew
    Jan 13 at 12:14










  • $begingroup$
    But the matrix $X^TX$ stays the same size even if X gets new rows. In particular $X^TX=sum_i x_i x_i^T$ where $x_i$ are the rows of $X$.
    $endgroup$
    – tch
    Jan 13 at 15:38
















$begingroup$
this seems related to the Bunch-Nielsen-Sorensen formula
$endgroup$
– tch
Jan 12 at 19:09






$begingroup$
this seems related to the Bunch-Nielsen-Sorensen formula
$endgroup$
– tch
Jan 12 at 19:09














$begingroup$
@tch, in that specific problem, the dimension of the matrix remains same. I think it is equivalent to changing entries of a symmetric matrix. But in my case, the matrix is incrementally builds by adding new rows and columns.
$endgroup$
– Shew
Jan 13 at 12:14




$begingroup$
@tch, in that specific problem, the dimension of the matrix remains same. I think it is equivalent to changing entries of a symmetric matrix. But in my case, the matrix is incrementally builds by adding new rows and columns.
$endgroup$
– Shew
Jan 13 at 12:14












$begingroup$
But the matrix $X^TX$ stays the same size even if X gets new rows. In particular $X^TX=sum_i x_i x_i^T$ where $x_i$ are the rows of $X$.
$endgroup$
– tch
Jan 13 at 15:38




$begingroup$
But the matrix $X^TX$ stays the same size even if X gets new rows. In particular $X^TX=sum_i x_i x_i^T$ where $x_i$ are the rows of $X$.
$endgroup$
– tch
Jan 13 at 15:38










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