tensor power method












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Just as we can use the matrix power method to find eigenvalues/eigenvectors of matrices in an iterative way, we can analogously find the eigenvalues/eigenvectors of tensors in a similar way.



My question is about the convergence properties here. For matrices (order 2 tensors), we know the error converges linearly in the eigengap and it is not hard to prove (I'm talking about the basic matrix power method, not e.g. Rayleigh quotient method which I know will actually converge quadratically with eigenvalue gap).



For symmetric orthogonally decomposable (odeco) tensors of order 3, for the basic method (not a more advanced thing like if there is an analogous tensor Rayleigh quotient method) I have heard the rate is now square in the eigengap. Is it true that in general for an order D symmetric odeco tensor, the convergence using the basic tensor power method will be at a rate power of (D-1) of the eigengap?










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    0












    $begingroup$


    Just as we can use the matrix power method to find eigenvalues/eigenvectors of matrices in an iterative way, we can analogously find the eigenvalues/eigenvectors of tensors in a similar way.



    My question is about the convergence properties here. For matrices (order 2 tensors), we know the error converges linearly in the eigengap and it is not hard to prove (I'm talking about the basic matrix power method, not e.g. Rayleigh quotient method which I know will actually converge quadratically with eigenvalue gap).



    For symmetric orthogonally decomposable (odeco) tensors of order 3, for the basic method (not a more advanced thing like if there is an analogous tensor Rayleigh quotient method) I have heard the rate is now square in the eigengap. Is it true that in general for an order D symmetric odeco tensor, the convergence using the basic tensor power method will be at a rate power of (D-1) of the eigengap?










    share|cite|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      Just as we can use the matrix power method to find eigenvalues/eigenvectors of matrices in an iterative way, we can analogously find the eigenvalues/eigenvectors of tensors in a similar way.



      My question is about the convergence properties here. For matrices (order 2 tensors), we know the error converges linearly in the eigengap and it is not hard to prove (I'm talking about the basic matrix power method, not e.g. Rayleigh quotient method which I know will actually converge quadratically with eigenvalue gap).



      For symmetric orthogonally decomposable (odeco) tensors of order 3, for the basic method (not a more advanced thing like if there is an analogous tensor Rayleigh quotient method) I have heard the rate is now square in the eigengap. Is it true that in general for an order D symmetric odeco tensor, the convergence using the basic tensor power method will be at a rate power of (D-1) of the eigengap?










      share|cite|improve this question









      $endgroup$




      Just as we can use the matrix power method to find eigenvalues/eigenvectors of matrices in an iterative way, we can analogously find the eigenvalues/eigenvectors of tensors in a similar way.



      My question is about the convergence properties here. For matrices (order 2 tensors), we know the error converges linearly in the eigengap and it is not hard to prove (I'm talking about the basic matrix power method, not e.g. Rayleigh quotient method which I know will actually converge quadratically with eigenvalue gap).



      For symmetric orthogonally decomposable (odeco) tensors of order 3, for the basic method (not a more advanced thing like if there is an analogous tensor Rayleigh quotient method) I have heard the rate is now square in the eigengap. Is it true that in general for an order D symmetric odeco tensor, the convergence using the basic tensor power method will be at a rate power of (D-1) of the eigengap?







      linear-algebra tensor-products numerical-linear-algebra tensors symmetric-matrices






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      share|cite|improve this question











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      asked Dec 13 '18 at 20:11









      sambajetsonsambajetson

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