If $T$ is an invertible linear transformation and $vecv$ is an eigenvector of $T$, then $vecv$ is an eigenvector of $T^-1$ Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)A linear transformation with no eigenvector basis?Proof of an invertible linear transformation being one-to-oneTranspose of an invertible linear transformation..A question in linear transformationInvertible Linear transformation EigenvaluesInvertible and non-invertible linear transformationLinear Transformation Geometrically interpretationProve that if $A$ and $B$ are square matrices and $AB$ is invertible, then both $A$ and $B$ are invertibleProve that resultant vectors of a linear transformation forms a basis if it is invertible.proof of invertible linear transformation

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If $T$ is an invertible linear transformation and $vecv$ is an eigenvector of $T$, then $vecv$ is an eigenvector of $T^-1$



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)A linear transformation with no eigenvector basis?Proof of an invertible linear transformation being one-to-oneTranspose of an invertible linear transformation..A question in linear transformationInvertible Linear transformation EigenvaluesInvertible and non-invertible linear transformationLinear Transformation Geometrically interpretationProve that if $A$ and $B$ are square matrices and $AB$ is invertible, then both $A$ and $B$ are invertibleProve that resultant vectors of a linear transformation forms a basis if it is invertible.proof of invertible linear transformation










1












$begingroup$


I saw there is a proof for invertible matrices, but I don't know how to put this mathematically for a transformation.
How do I prove an invertible linear transformation has the same eigenvectors as its inverse?










share|cite|improve this question











$endgroup$











  • $begingroup$
    Can't you just fix bases and consider your linear transformation as a matrix?
    $endgroup$
    – dcolazin
    Apr 13 at 7:22










  • $begingroup$
    yup...I suppose that's what should have been done in the first place. I have posted an algebraic solution.
    $endgroup$
    – DGR
    Apr 13 at 7:26










  • $begingroup$
    Wouldn’t the proof be exactly the same as the one for matrices?
    $endgroup$
    – amd
    Apr 13 at 18:42















1












$begingroup$


I saw there is a proof for invertible matrices, but I don't know how to put this mathematically for a transformation.
How do I prove an invertible linear transformation has the same eigenvectors as its inverse?










share|cite|improve this question











$endgroup$











  • $begingroup$
    Can't you just fix bases and consider your linear transformation as a matrix?
    $endgroup$
    – dcolazin
    Apr 13 at 7:22










  • $begingroup$
    yup...I suppose that's what should have been done in the first place. I have posted an algebraic solution.
    $endgroup$
    – DGR
    Apr 13 at 7:26










  • $begingroup$
    Wouldn’t the proof be exactly the same as the one for matrices?
    $endgroup$
    – amd
    Apr 13 at 18:42













1












1








1





$begingroup$


I saw there is a proof for invertible matrices, but I don't know how to put this mathematically for a transformation.
How do I prove an invertible linear transformation has the same eigenvectors as its inverse?










share|cite|improve this question











$endgroup$




I saw there is a proof for invertible matrices, but I don't know how to put this mathematically for a transformation.
How do I prove an invertible linear transformation has the same eigenvectors as its inverse?







linear-algebra eigenvalues-eigenvectors transformation






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Apr 13 at 12:08









YuiTo Cheng

2,65641037




2,65641037










asked Apr 13 at 7:18









DGRDGR

163




163











  • $begingroup$
    Can't you just fix bases and consider your linear transformation as a matrix?
    $endgroup$
    – dcolazin
    Apr 13 at 7:22










  • $begingroup$
    yup...I suppose that's what should have been done in the first place. I have posted an algebraic solution.
    $endgroup$
    – DGR
    Apr 13 at 7:26










  • $begingroup$
    Wouldn’t the proof be exactly the same as the one for matrices?
    $endgroup$
    – amd
    Apr 13 at 18:42
















  • $begingroup$
    Can't you just fix bases and consider your linear transformation as a matrix?
    $endgroup$
    – dcolazin
    Apr 13 at 7:22










  • $begingroup$
    yup...I suppose that's what should have been done in the first place. I have posted an algebraic solution.
    $endgroup$
    – DGR
    Apr 13 at 7:26










  • $begingroup$
    Wouldn’t the proof be exactly the same as the one for matrices?
    $endgroup$
    – amd
    Apr 13 at 18:42















$begingroup$
Can't you just fix bases and consider your linear transformation as a matrix?
$endgroup$
– dcolazin
Apr 13 at 7:22




$begingroup$
Can't you just fix bases and consider your linear transformation as a matrix?
$endgroup$
– dcolazin
Apr 13 at 7:22












$begingroup$
yup...I suppose that's what should have been done in the first place. I have posted an algebraic solution.
$endgroup$
– DGR
Apr 13 at 7:26




$begingroup$
yup...I suppose that's what should have been done in the first place. I have posted an algebraic solution.
$endgroup$
– DGR
Apr 13 at 7:26












$begingroup$
Wouldn’t the proof be exactly the same as the one for matrices?
$endgroup$
– amd
Apr 13 at 18:42




$begingroup$
Wouldn’t the proof be exactly the same as the one for matrices?
$endgroup$
– amd
Apr 13 at 18:42










2 Answers
2






active

oldest

votes


















4












$begingroup$

Observe that for an invertible matrix $A$ with eigenvector $mathbf v$ and corresponding eigenvalue $lambdaneq 0$, you have that
beginalign*
mathbf v &= I mathbf v\&=A^-1A mathbf v\&=lambda A^-1 mathbf v
endalign*

Hence $A^-1 mathbf v = lambda^-1mathbf v$






share|cite|improve this answer









$endgroup$




















    1












    $begingroup$

    OK, so Iv'e found a solution!



    beginalign*\
    Tv &= lambda v vert *T^-1 \
    T^-1Tv &= T^-1lambda v \
    v &= lambda T^-1v vert *lambda^-1 & text(Invertible transformation, $lambdaneq 0$) \
    lambda^-1v &= T^-1v
    endalign*



    For $T^-1$, eigenvalue $lambda^-1$, eigenvector is $v$ (same as eigenvector of $T$).



    Hope this helps!






    share|cite|improve this answer











    $endgroup$













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      2 Answers
      2






      active

      oldest

      votes








      2 Answers
      2






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      4












      $begingroup$

      Observe that for an invertible matrix $A$ with eigenvector $mathbf v$ and corresponding eigenvalue $lambdaneq 0$, you have that
      beginalign*
      mathbf v &= I mathbf v\&=A^-1A mathbf v\&=lambda A^-1 mathbf v
      endalign*

      Hence $A^-1 mathbf v = lambda^-1mathbf v$






      share|cite|improve this answer









      $endgroup$

















        4












        $begingroup$

        Observe that for an invertible matrix $A$ with eigenvector $mathbf v$ and corresponding eigenvalue $lambdaneq 0$, you have that
        beginalign*
        mathbf v &= I mathbf v\&=A^-1A mathbf v\&=lambda A^-1 mathbf v
        endalign*

        Hence $A^-1 mathbf v = lambda^-1mathbf v$






        share|cite|improve this answer









        $endgroup$















          4












          4








          4





          $begingroup$

          Observe that for an invertible matrix $A$ with eigenvector $mathbf v$ and corresponding eigenvalue $lambdaneq 0$, you have that
          beginalign*
          mathbf v &= I mathbf v\&=A^-1A mathbf v\&=lambda A^-1 mathbf v
          endalign*

          Hence $A^-1 mathbf v = lambda^-1mathbf v$






          share|cite|improve this answer









          $endgroup$



          Observe that for an invertible matrix $A$ with eigenvector $mathbf v$ and corresponding eigenvalue $lambdaneq 0$, you have that
          beginalign*
          mathbf v &= I mathbf v\&=A^-1A mathbf v\&=lambda A^-1 mathbf v
          endalign*

          Hence $A^-1 mathbf v = lambda^-1mathbf v$







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Apr 13 at 7:27









          P. QuintonP. Quinton

          2,0001214




          2,0001214





















              1












              $begingroup$

              OK, so Iv'e found a solution!



              beginalign*\
              Tv &= lambda v vert *T^-1 \
              T^-1Tv &= T^-1lambda v \
              v &= lambda T^-1v vert *lambda^-1 & text(Invertible transformation, $lambdaneq 0$) \
              lambda^-1v &= T^-1v
              endalign*



              For $T^-1$, eigenvalue $lambda^-1$, eigenvector is $v$ (same as eigenvector of $T$).



              Hope this helps!






              share|cite|improve this answer











              $endgroup$

















                1












                $begingroup$

                OK, so Iv'e found a solution!



                beginalign*\
                Tv &= lambda v vert *T^-1 \
                T^-1Tv &= T^-1lambda v \
                v &= lambda T^-1v vert *lambda^-1 & text(Invertible transformation, $lambdaneq 0$) \
                lambda^-1v &= T^-1v
                endalign*



                For $T^-1$, eigenvalue $lambda^-1$, eigenvector is $v$ (same as eigenvector of $T$).



                Hope this helps!






                share|cite|improve this answer











                $endgroup$















                  1












                  1








                  1





                  $begingroup$

                  OK, so Iv'e found a solution!



                  beginalign*\
                  Tv &= lambda v vert *T^-1 \
                  T^-1Tv &= T^-1lambda v \
                  v &= lambda T^-1v vert *lambda^-1 & text(Invertible transformation, $lambdaneq 0$) \
                  lambda^-1v &= T^-1v
                  endalign*



                  For $T^-1$, eigenvalue $lambda^-1$, eigenvector is $v$ (same as eigenvector of $T$).



                  Hope this helps!






                  share|cite|improve this answer











                  $endgroup$



                  OK, so Iv'e found a solution!



                  beginalign*\
                  Tv &= lambda v vert *T^-1 \
                  T^-1Tv &= T^-1lambda v \
                  v &= lambda T^-1v vert *lambda^-1 & text(Invertible transformation, $lambdaneq 0$) \
                  lambda^-1v &= T^-1v
                  endalign*



                  For $T^-1$, eigenvalue $lambda^-1$, eigenvector is $v$ (same as eigenvector of $T$).



                  Hope this helps!







                  share|cite|improve this answer














                  share|cite|improve this answer



                  share|cite|improve this answer








                  edited Apr 13 at 7:56









                  Widawensen

                  4,81531447




                  4,81531447










                  answered Apr 13 at 7:25









                  DGRDGR

                  163




                  163



























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