An upper bound for the largest eigen value of $A^tA$












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I would like to compute an upper bound on the largest eigenvalue of $A^tA$, where $A$ is an $n times p$ real-valued matrix. This bound should be sharper than the Gerschgorin bound. I should also be able to compute the bound directly from A, without forming $A^tA$ (which rules out the Gerschgorin bound), since it is likely that $p >> n$. I would like to have a computational procedure which is of the same degree of complexity as the Gerschgorin disc, if possible. Are there any results on this?










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    $begingroup$


    I would like to compute an upper bound on the largest eigenvalue of $A^tA$, where $A$ is an $n times p$ real-valued matrix. This bound should be sharper than the Gerschgorin bound. I should also be able to compute the bound directly from A, without forming $A^tA$ (which rules out the Gerschgorin bound), since it is likely that $p >> n$. I would like to have a computational procedure which is of the same degree of complexity as the Gerschgorin disc, if possible. Are there any results on this?










    share|cite|improve this question









    $endgroup$















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      0








      0





      $begingroup$


      I would like to compute an upper bound on the largest eigenvalue of $A^tA$, where $A$ is an $n times p$ real-valued matrix. This bound should be sharper than the Gerschgorin bound. I should also be able to compute the bound directly from A, without forming $A^tA$ (which rules out the Gerschgorin bound), since it is likely that $p >> n$. I would like to have a computational procedure which is of the same degree of complexity as the Gerschgorin disc, if possible. Are there any results on this?










      share|cite|improve this question









      $endgroup$




      I would like to compute an upper bound on the largest eigenvalue of $A^tA$, where $A$ is an $n times p$ real-valued matrix. This bound should be sharper than the Gerschgorin bound. I should also be able to compute the bound directly from A, without forming $A^tA$ (which rules out the Gerschgorin bound), since it is likely that $p >> n$. I would like to have a computational procedure which is of the same degree of complexity as the Gerschgorin disc, if possible. Are there any results on this?







      matrices eigenvalues-eigenvectors






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      asked Dec 6 '18 at 23:35









      user67724user67724

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