eigenvalues Linear Transformation proof Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)If a linear transformation is similar to another, then they have the same eigenvalues.Eigenvectors of linear transformationInvertible Linear transformation EigenvaluesIs the following proof that if $T: V rightarrow V$ as eigenvalue $lambda$, then $aT$ has eigenvalue $alambda$ correctLinear Algebra - Eigenvectors and EigenvaluesFinding Eigenvalues of linear transformationTrue or False Linear Transformation Eigenvalues QuestionProperties of eigenvalues/eigenvectorsLinear transformation.Write corresponding eigenvectors for eigenvalues of a linear transformation

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eigenvalues Linear Transformation proof



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)If a linear transformation is similar to another, then they have the same eigenvalues.Eigenvectors of linear transformationInvertible Linear transformation EigenvaluesIs the following proof that if $T: V rightarrow V$ as eigenvalue $lambda$, then $aT$ has eigenvalue $alambda$ correctLinear Algebra - Eigenvectors and EigenvaluesFinding Eigenvalues of linear transformationTrue or False Linear Transformation Eigenvalues QuestionProperties of eigenvalues/eigenvectorsLinear transformation.Write corresponding eigenvectors for eigenvalues of a linear transformation










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I am given the linear transformation $T:Vto V$ that has $u$ as an eigenvector with $x$ as its eigenvalue, and $v$ as another eigenvector of $T$ with $g$ as its eigenvalue.
I need to prove that if $u+v$ is eigenvector of $T$ then $x=g$.










share|cite|improve this question











$endgroup$
















    0












    $begingroup$


    I am given the linear transformation $T:Vto V$ that has $u$ as an eigenvector with $x$ as its eigenvalue, and $v$ as another eigenvector of $T$ with $g$ as its eigenvalue.
    I need to prove that if $u+v$ is eigenvector of $T$ then $x=g$.










    share|cite|improve this question











    $endgroup$














      0












      0








      0


      1



      $begingroup$


      I am given the linear transformation $T:Vto V$ that has $u$ as an eigenvector with $x$ as its eigenvalue, and $v$ as another eigenvector of $T$ with $g$ as its eigenvalue.
      I need to prove that if $u+v$ is eigenvector of $T$ then $x=g$.










      share|cite|improve this question











      $endgroup$




      I am given the linear transformation $T:Vto V$ that has $u$ as an eigenvector with $x$ as its eigenvalue, and $v$ as another eigenvector of $T$ with $g$ as its eigenvalue.
      I need to prove that if $u+v$ is eigenvector of $T$ then $x=g$.







      eigenvalues-eigenvectors






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Mar 27 at 18:13









      J. W. Tanner

      5,0551520




      5,0551520










      asked Mar 27 at 17:47









      ga asga as

      84




      84




















          1 Answer
          1






          active

          oldest

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          1












          $begingroup$

          Hint You have $T(u)=xu$ and $T(v)=gv$. So if $u+v$ is an eigenvector of $T$ associated to say $lambda$ i.e. $T(u+v)=lambda(u+v)$ then



          $$T(u+v)=lambda(u+v)=T(u)+T(v)=xu+gv$$
          so
          $$(x-lambda)u=(lambda-g)v$$
          Now you should discus two possible cases:



          • first case: $u$ and $v$ are colinear;

          • second case: $u$ and $v$ are linearly independent.





          share|cite|improve this answer









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            $begingroup$

            Hint You have $T(u)=xu$ and $T(v)=gv$. So if $u+v$ is an eigenvector of $T$ associated to say $lambda$ i.e. $T(u+v)=lambda(u+v)$ then



            $$T(u+v)=lambda(u+v)=T(u)+T(v)=xu+gv$$
            so
            $$(x-lambda)u=(lambda-g)v$$
            Now you should discus two possible cases:



            • first case: $u$ and $v$ are colinear;

            • second case: $u$ and $v$ are linearly independent.





            share|cite|improve this answer









            $endgroup$

















              1












              $begingroup$

              Hint You have $T(u)=xu$ and $T(v)=gv$. So if $u+v$ is an eigenvector of $T$ associated to say $lambda$ i.e. $T(u+v)=lambda(u+v)$ then



              $$T(u+v)=lambda(u+v)=T(u)+T(v)=xu+gv$$
              so
              $$(x-lambda)u=(lambda-g)v$$
              Now you should discus two possible cases:



              • first case: $u$ and $v$ are colinear;

              • second case: $u$ and $v$ are linearly independent.





              share|cite|improve this answer









              $endgroup$















                1












                1








                1





                $begingroup$

                Hint You have $T(u)=xu$ and $T(v)=gv$. So if $u+v$ is an eigenvector of $T$ associated to say $lambda$ i.e. $T(u+v)=lambda(u+v)$ then



                $$T(u+v)=lambda(u+v)=T(u)+T(v)=xu+gv$$
                so
                $$(x-lambda)u=(lambda-g)v$$
                Now you should discus two possible cases:



                • first case: $u$ and $v$ are colinear;

                • second case: $u$ and $v$ are linearly independent.





                share|cite|improve this answer









                $endgroup$



                Hint You have $T(u)=xu$ and $T(v)=gv$. So if $u+v$ is an eigenvector of $T$ associated to say $lambda$ i.e. $T(u+v)=lambda(u+v)$ then



                $$T(u+v)=lambda(u+v)=T(u)+T(v)=xu+gv$$
                so
                $$(x-lambda)u=(lambda-g)v$$
                Now you should discus two possible cases:



                • first case: $u$ and $v$ are colinear;

                • second case: $u$ and $v$ are linearly independent.






                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Mar 27 at 17:58









                user296113user296113

                7,015928




                7,015928



























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