Formula for eigenvector corresponding to a simple eigenvalue












2












$begingroup$


In a book on numerical linear algebra (Deuflhard numerische Mathematik Band 1) there is the following exercise (translated from German):




Give a Formula (using Determinants) for an eigenvector $x in mathbb{C}^n$ corresponding to a given simple eigenvalue $lambda in mathbb{C}$ of a Matrix $A in mathbb{C}^{n times n}$.




It really should be a formula and not an algorithm, since the formula is to be used to show that the eigenvector depends on the matrix in a continuous differentiable fashion.

My problem is that any formula I think of yields $0$ instead of a proper eigenvector



Any ideas on how to get such a formula?










share|cite|improve this question











$endgroup$












  • $begingroup$
    When you say that "an eigenvector depends on the Matrix in a continuous differentiable fashion", it is meaningless as such because an eigenvector is defined up to a factor. The less you can do is to normalize your eigenvectors (normed to unity).
    $endgroup$
    – Jean Marie
    Jan 27 '18 at 22:27










  • $begingroup$
    @JeanMarie what I mean is that there exists a continuously differentiable function which maps every $A in U subset mathbb{C}^{n times n}$ to one of its eigenvectors (the fact that the eigenvalues "are continuously differentiable" was established before in the book). Obviously this function won't be unique but I don't see any other problem.
    $endgroup$
    – 0x539
    Jan 27 '18 at 22:41












  • $begingroup$
    I understand a little more. See similar question with answer (math.stackexchange.com/q/807144)
    $endgroup$
    – Jean Marie
    Jan 27 '18 at 22:55










  • $begingroup$
    see as well the second answer in (math.stackexchange.com/q/581057)
    $endgroup$
    – Jean Marie
    Jan 28 '18 at 7:24










  • $begingroup$
    ... and (mathoverflow.net/questions/253584/…)
    $endgroup$
    – Jean Marie
    Jan 28 '18 at 7:27
















2












$begingroup$


In a book on numerical linear algebra (Deuflhard numerische Mathematik Band 1) there is the following exercise (translated from German):




Give a Formula (using Determinants) for an eigenvector $x in mathbb{C}^n$ corresponding to a given simple eigenvalue $lambda in mathbb{C}$ of a Matrix $A in mathbb{C}^{n times n}$.




It really should be a formula and not an algorithm, since the formula is to be used to show that the eigenvector depends on the matrix in a continuous differentiable fashion.

My problem is that any formula I think of yields $0$ instead of a proper eigenvector



Any ideas on how to get such a formula?










share|cite|improve this question











$endgroup$












  • $begingroup$
    When you say that "an eigenvector depends on the Matrix in a continuous differentiable fashion", it is meaningless as such because an eigenvector is defined up to a factor. The less you can do is to normalize your eigenvectors (normed to unity).
    $endgroup$
    – Jean Marie
    Jan 27 '18 at 22:27










  • $begingroup$
    @JeanMarie what I mean is that there exists a continuously differentiable function which maps every $A in U subset mathbb{C}^{n times n}$ to one of its eigenvectors (the fact that the eigenvalues "are continuously differentiable" was established before in the book). Obviously this function won't be unique but I don't see any other problem.
    $endgroup$
    – 0x539
    Jan 27 '18 at 22:41












  • $begingroup$
    I understand a little more. See similar question with answer (math.stackexchange.com/q/807144)
    $endgroup$
    – Jean Marie
    Jan 27 '18 at 22:55










  • $begingroup$
    see as well the second answer in (math.stackexchange.com/q/581057)
    $endgroup$
    – Jean Marie
    Jan 28 '18 at 7:24










  • $begingroup$
    ... and (mathoverflow.net/questions/253584/…)
    $endgroup$
    – Jean Marie
    Jan 28 '18 at 7:27














2












2








2


1



$begingroup$


In a book on numerical linear algebra (Deuflhard numerische Mathematik Band 1) there is the following exercise (translated from German):




Give a Formula (using Determinants) for an eigenvector $x in mathbb{C}^n$ corresponding to a given simple eigenvalue $lambda in mathbb{C}$ of a Matrix $A in mathbb{C}^{n times n}$.




It really should be a formula and not an algorithm, since the formula is to be used to show that the eigenvector depends on the matrix in a continuous differentiable fashion.

My problem is that any formula I think of yields $0$ instead of a proper eigenvector



Any ideas on how to get such a formula?










share|cite|improve this question











$endgroup$




In a book on numerical linear algebra (Deuflhard numerische Mathematik Band 1) there is the following exercise (translated from German):




Give a Formula (using Determinants) for an eigenvector $x in mathbb{C}^n$ corresponding to a given simple eigenvalue $lambda in mathbb{C}$ of a Matrix $A in mathbb{C}^{n times n}$.




It really should be a formula and not an algorithm, since the formula is to be used to show that the eigenvector depends on the matrix in a continuous differentiable fashion.

My problem is that any formula I think of yields $0$ instead of a proper eigenvector



Any ideas on how to get such a formula?







linear-algebra eigenvalues-eigenvectors determinant numerical-linear-algebra






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Dec 8 '18 at 21:22







0x539

















asked Jan 27 '18 at 21:39









0x5390x539

1,371518




1,371518












  • $begingroup$
    When you say that "an eigenvector depends on the Matrix in a continuous differentiable fashion", it is meaningless as such because an eigenvector is defined up to a factor. The less you can do is to normalize your eigenvectors (normed to unity).
    $endgroup$
    – Jean Marie
    Jan 27 '18 at 22:27










  • $begingroup$
    @JeanMarie what I mean is that there exists a continuously differentiable function which maps every $A in U subset mathbb{C}^{n times n}$ to one of its eigenvectors (the fact that the eigenvalues "are continuously differentiable" was established before in the book). Obviously this function won't be unique but I don't see any other problem.
    $endgroup$
    – 0x539
    Jan 27 '18 at 22:41












  • $begingroup$
    I understand a little more. See similar question with answer (math.stackexchange.com/q/807144)
    $endgroup$
    – Jean Marie
    Jan 27 '18 at 22:55










  • $begingroup$
    see as well the second answer in (math.stackexchange.com/q/581057)
    $endgroup$
    – Jean Marie
    Jan 28 '18 at 7:24










  • $begingroup$
    ... and (mathoverflow.net/questions/253584/…)
    $endgroup$
    – Jean Marie
    Jan 28 '18 at 7:27


















  • $begingroup$
    When you say that "an eigenvector depends on the Matrix in a continuous differentiable fashion", it is meaningless as such because an eigenvector is defined up to a factor. The less you can do is to normalize your eigenvectors (normed to unity).
    $endgroup$
    – Jean Marie
    Jan 27 '18 at 22:27










  • $begingroup$
    @JeanMarie what I mean is that there exists a continuously differentiable function which maps every $A in U subset mathbb{C}^{n times n}$ to one of its eigenvectors (the fact that the eigenvalues "are continuously differentiable" was established before in the book). Obviously this function won't be unique but I don't see any other problem.
    $endgroup$
    – 0x539
    Jan 27 '18 at 22:41












  • $begingroup$
    I understand a little more. See similar question with answer (math.stackexchange.com/q/807144)
    $endgroup$
    – Jean Marie
    Jan 27 '18 at 22:55










  • $begingroup$
    see as well the second answer in (math.stackexchange.com/q/581057)
    $endgroup$
    – Jean Marie
    Jan 28 '18 at 7:24










  • $begingroup$
    ... and (mathoverflow.net/questions/253584/…)
    $endgroup$
    – Jean Marie
    Jan 28 '18 at 7:27
















$begingroup$
When you say that "an eigenvector depends on the Matrix in a continuous differentiable fashion", it is meaningless as such because an eigenvector is defined up to a factor. The less you can do is to normalize your eigenvectors (normed to unity).
$endgroup$
– Jean Marie
Jan 27 '18 at 22:27




$begingroup$
When you say that "an eigenvector depends on the Matrix in a continuous differentiable fashion", it is meaningless as such because an eigenvector is defined up to a factor. The less you can do is to normalize your eigenvectors (normed to unity).
$endgroup$
– Jean Marie
Jan 27 '18 at 22:27












$begingroup$
@JeanMarie what I mean is that there exists a continuously differentiable function which maps every $A in U subset mathbb{C}^{n times n}$ to one of its eigenvectors (the fact that the eigenvalues "are continuously differentiable" was established before in the book). Obviously this function won't be unique but I don't see any other problem.
$endgroup$
– 0x539
Jan 27 '18 at 22:41






$begingroup$
@JeanMarie what I mean is that there exists a continuously differentiable function which maps every $A in U subset mathbb{C}^{n times n}$ to one of its eigenvectors (the fact that the eigenvalues "are continuously differentiable" was established before in the book). Obviously this function won't be unique but I don't see any other problem.
$endgroup$
– 0x539
Jan 27 '18 at 22:41














$begingroup$
I understand a little more. See similar question with answer (math.stackexchange.com/q/807144)
$endgroup$
– Jean Marie
Jan 27 '18 at 22:55




$begingroup$
I understand a little more. See similar question with answer (math.stackexchange.com/q/807144)
$endgroup$
– Jean Marie
Jan 27 '18 at 22:55












$begingroup$
see as well the second answer in (math.stackexchange.com/q/581057)
$endgroup$
– Jean Marie
Jan 28 '18 at 7:24




$begingroup$
see as well the second answer in (math.stackexchange.com/q/581057)
$endgroup$
– Jean Marie
Jan 28 '18 at 7:24












$begingroup$
... and (mathoverflow.net/questions/253584/…)
$endgroup$
– Jean Marie
Jan 28 '18 at 7:27




$begingroup$
... and (mathoverflow.net/questions/253584/…)
$endgroup$
– Jean Marie
Jan 28 '18 at 7:27










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