Find $3times 3$ matrix when eigenvectors and eigenvalues are known.











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Problem



Find $3times3$ matrix $textbf{A}$ that has eigenvalues of $lambda_1=-1,lambda_2=1,lambda_3=2$ and corresponding eignevectors $x_1=begin{bmatrix}0 \ 1 \ 2 end{bmatrix},x_2=begin{bmatrix}1 \ 1 \ 0end{bmatrix},x_3=begin{bmatrix}1 \2 \1end{bmatrix}$



Attempt to solve



I try to compute generic $3times 3$ matrix and solve it's eigenvalues. We can compute eigenvalues via characteristic polynomial which is defined as:



$$ P_A(lambda) := det(textbf{A}-lambdatextbf{I}) $$



$$ P_A(lambda)=det(begin{bmatrix} a & b & c \ d & e & f \ g & h & i end{bmatrix}-begin{bmatrix} lambda & 0 & 0 \ 0 & lambda & 0 \ 0 & 0 & lambda end{bmatrix}) $$
$$=begin{vmatrix} a-lambda & b & c \ d & e-lambda & f \ g & h & i-lambda end{vmatrix}$$



$$=(a-lambda)begin{vmatrix} e-lambda & f \ h & i-lambda end{vmatrix}-bbegin{vmatrix} d & f \ g & i-lambda end{vmatrix} + c begin{vmatrix} d & e-lambda \ g & h end{vmatrix} $$
$$ =(a-lambda)[(e-lambda)(i-lambda)-fh)]-b[d(i-lambda)-fg]+c[dh-g(e-lambda)] $$
$$ =(a-lambda)[ei+e(-lambda)-lambda i -lambda (-lambda)-fh]-b[di-dlambda-fg]+c[dh-ge-glambda] $$
$$= (a-lambda)[lambda^2-ilambda-elambda+ei]-b[-dlambda-di-fg]+c[-glambda-+dh-ge] $$



$$ = alambda^2-ialambda-ealambda+eai-lambda^3+ilambda^2+elambda^2-eilambda +bdlambda + bdi + bfg +cdh -cge-cglambda $$



$$ P_A(lambda) = -lambda^3+lambda^2(a+i+e)+lambda(-ia-ea-ei+bd-cg)+eai+bdi+bfg+cdh-cge $$



Eigenvalues can be found when $P_A(lambda)=0$. Only problem is I'am not quite sure if this is the best approach for this problem.



Any suggestion on how to proceed / change the approach all together.










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  • Have you heard of diagonalization?
    – MisterRiemann
    Nov 25 at 21:27















up vote
2
down vote

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Problem



Find $3times3$ matrix $textbf{A}$ that has eigenvalues of $lambda_1=-1,lambda_2=1,lambda_3=2$ and corresponding eignevectors $x_1=begin{bmatrix}0 \ 1 \ 2 end{bmatrix},x_2=begin{bmatrix}1 \ 1 \ 0end{bmatrix},x_3=begin{bmatrix}1 \2 \1end{bmatrix}$



Attempt to solve



I try to compute generic $3times 3$ matrix and solve it's eigenvalues. We can compute eigenvalues via characteristic polynomial which is defined as:



$$ P_A(lambda) := det(textbf{A}-lambdatextbf{I}) $$



$$ P_A(lambda)=det(begin{bmatrix} a & b & c \ d & e & f \ g & h & i end{bmatrix}-begin{bmatrix} lambda & 0 & 0 \ 0 & lambda & 0 \ 0 & 0 & lambda end{bmatrix}) $$
$$=begin{vmatrix} a-lambda & b & c \ d & e-lambda & f \ g & h & i-lambda end{vmatrix}$$



$$=(a-lambda)begin{vmatrix} e-lambda & f \ h & i-lambda end{vmatrix}-bbegin{vmatrix} d & f \ g & i-lambda end{vmatrix} + c begin{vmatrix} d & e-lambda \ g & h end{vmatrix} $$
$$ =(a-lambda)[(e-lambda)(i-lambda)-fh)]-b[d(i-lambda)-fg]+c[dh-g(e-lambda)] $$
$$ =(a-lambda)[ei+e(-lambda)-lambda i -lambda (-lambda)-fh]-b[di-dlambda-fg]+c[dh-ge-glambda] $$
$$= (a-lambda)[lambda^2-ilambda-elambda+ei]-b[-dlambda-di-fg]+c[-glambda-+dh-ge] $$



$$ = alambda^2-ialambda-ealambda+eai-lambda^3+ilambda^2+elambda^2-eilambda +bdlambda + bdi + bfg +cdh -cge-cglambda $$



$$ P_A(lambda) = -lambda^3+lambda^2(a+i+e)+lambda(-ia-ea-ei+bd-cg)+eai+bdi+bfg+cdh-cge $$



Eigenvalues can be found when $P_A(lambda)=0$. Only problem is I'am not quite sure if this is the best approach for this problem.



Any suggestion on how to proceed / change the approach all together.










share|cite|improve this question






















  • Have you heard of diagonalization?
    – MisterRiemann
    Nov 25 at 21:27













up vote
2
down vote

favorite









up vote
2
down vote

favorite











Problem



Find $3times3$ matrix $textbf{A}$ that has eigenvalues of $lambda_1=-1,lambda_2=1,lambda_3=2$ and corresponding eignevectors $x_1=begin{bmatrix}0 \ 1 \ 2 end{bmatrix},x_2=begin{bmatrix}1 \ 1 \ 0end{bmatrix},x_3=begin{bmatrix}1 \2 \1end{bmatrix}$



Attempt to solve



I try to compute generic $3times 3$ matrix and solve it's eigenvalues. We can compute eigenvalues via characteristic polynomial which is defined as:



$$ P_A(lambda) := det(textbf{A}-lambdatextbf{I}) $$



$$ P_A(lambda)=det(begin{bmatrix} a & b & c \ d & e & f \ g & h & i end{bmatrix}-begin{bmatrix} lambda & 0 & 0 \ 0 & lambda & 0 \ 0 & 0 & lambda end{bmatrix}) $$
$$=begin{vmatrix} a-lambda & b & c \ d & e-lambda & f \ g & h & i-lambda end{vmatrix}$$



$$=(a-lambda)begin{vmatrix} e-lambda & f \ h & i-lambda end{vmatrix}-bbegin{vmatrix} d & f \ g & i-lambda end{vmatrix} + c begin{vmatrix} d & e-lambda \ g & h end{vmatrix} $$
$$ =(a-lambda)[(e-lambda)(i-lambda)-fh)]-b[d(i-lambda)-fg]+c[dh-g(e-lambda)] $$
$$ =(a-lambda)[ei+e(-lambda)-lambda i -lambda (-lambda)-fh]-b[di-dlambda-fg]+c[dh-ge-glambda] $$
$$= (a-lambda)[lambda^2-ilambda-elambda+ei]-b[-dlambda-di-fg]+c[-glambda-+dh-ge] $$



$$ = alambda^2-ialambda-ealambda+eai-lambda^3+ilambda^2+elambda^2-eilambda +bdlambda + bdi + bfg +cdh -cge-cglambda $$



$$ P_A(lambda) = -lambda^3+lambda^2(a+i+e)+lambda(-ia-ea-ei+bd-cg)+eai+bdi+bfg+cdh-cge $$



Eigenvalues can be found when $P_A(lambda)=0$. Only problem is I'am not quite sure if this is the best approach for this problem.



Any suggestion on how to proceed / change the approach all together.










share|cite|improve this question













Problem



Find $3times3$ matrix $textbf{A}$ that has eigenvalues of $lambda_1=-1,lambda_2=1,lambda_3=2$ and corresponding eignevectors $x_1=begin{bmatrix}0 \ 1 \ 2 end{bmatrix},x_2=begin{bmatrix}1 \ 1 \ 0end{bmatrix},x_3=begin{bmatrix}1 \2 \1end{bmatrix}$



Attempt to solve



I try to compute generic $3times 3$ matrix and solve it's eigenvalues. We can compute eigenvalues via characteristic polynomial which is defined as:



$$ P_A(lambda) := det(textbf{A}-lambdatextbf{I}) $$



$$ P_A(lambda)=det(begin{bmatrix} a & b & c \ d & e & f \ g & h & i end{bmatrix}-begin{bmatrix} lambda & 0 & 0 \ 0 & lambda & 0 \ 0 & 0 & lambda end{bmatrix}) $$
$$=begin{vmatrix} a-lambda & b & c \ d & e-lambda & f \ g & h & i-lambda end{vmatrix}$$



$$=(a-lambda)begin{vmatrix} e-lambda & f \ h & i-lambda end{vmatrix}-bbegin{vmatrix} d & f \ g & i-lambda end{vmatrix} + c begin{vmatrix} d & e-lambda \ g & h end{vmatrix} $$
$$ =(a-lambda)[(e-lambda)(i-lambda)-fh)]-b[d(i-lambda)-fg]+c[dh-g(e-lambda)] $$
$$ =(a-lambda)[ei+e(-lambda)-lambda i -lambda (-lambda)-fh]-b[di-dlambda-fg]+c[dh-ge-glambda] $$
$$= (a-lambda)[lambda^2-ilambda-elambda+ei]-b[-dlambda-di-fg]+c[-glambda-+dh-ge] $$



$$ = alambda^2-ialambda-ealambda+eai-lambda^3+ilambda^2+elambda^2-eilambda +bdlambda + bdi + bfg +cdh -cge-cglambda $$



$$ P_A(lambda) = -lambda^3+lambda^2(a+i+e)+lambda(-ia-ea-ei+bd-cg)+eai+bdi+bfg+cdh-cge $$



Eigenvalues can be found when $P_A(lambda)=0$. Only problem is I'am not quite sure if this is the best approach for this problem.



Any suggestion on how to proceed / change the approach all together.







linear-algebra eigenvalues-eigenvectors






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asked Nov 25 at 21:25









Tuki

985316




985316












  • Have you heard of diagonalization?
    – MisterRiemann
    Nov 25 at 21:27


















  • Have you heard of diagonalization?
    – MisterRiemann
    Nov 25 at 21:27
















Have you heard of diagonalization?
– MisterRiemann
Nov 25 at 21:27




Have you heard of diagonalization?
– MisterRiemann
Nov 25 at 21:27










2 Answers
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$A=begin{pmatrix}0&1&1\1&1&2\2&0&1end{pmatrix}begin{pmatrix}-1&0&0\0&1&0\0&0&2end{pmatrix}begin{pmatrix}0&1&1\1&1&2\2&0&1end{pmatrix}^{-1}$.






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    up vote
    1
    down vote













    HINT



    Recall that for $A$ diagonalizable



    $$A=PDP^{-1}$$



    as an alternative refer to the definition of eigenvalues and, assuming as unknowns the 9 entries for $A$, solve




    • $Ax_1=lambda_1x_1$

    • $Ax_2=lambda_2x_2$

    • $Ax_3=lambda_3x_3$






    share|cite|improve this answer





















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      2 Answers
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      2 Answers
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      up vote
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      down vote



      accepted










      $A=begin{pmatrix}0&1&1\1&1&2\2&0&1end{pmatrix}begin{pmatrix}-1&0&0\0&1&0\0&0&2end{pmatrix}begin{pmatrix}0&1&1\1&1&2\2&0&1end{pmatrix}^{-1}$.






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        up vote
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        down vote



        accepted










        $A=begin{pmatrix}0&1&1\1&1&2\2&0&1end{pmatrix}begin{pmatrix}-1&0&0\0&1&0\0&0&2end{pmatrix}begin{pmatrix}0&1&1\1&1&2\2&0&1end{pmatrix}^{-1}$.






        share|cite|improve this answer























          up vote
          1
          down vote



          accepted







          up vote
          1
          down vote



          accepted






          $A=begin{pmatrix}0&1&1\1&1&2\2&0&1end{pmatrix}begin{pmatrix}-1&0&0\0&1&0\0&0&2end{pmatrix}begin{pmatrix}0&1&1\1&1&2\2&0&1end{pmatrix}^{-1}$.






          share|cite|improve this answer












          $A=begin{pmatrix}0&1&1\1&1&2\2&0&1end{pmatrix}begin{pmatrix}-1&0&0\0&1&0\0&0&2end{pmatrix}begin{pmatrix}0&1&1\1&1&2\2&0&1end{pmatrix}^{-1}$.







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          answered Nov 25 at 21:46









          Chris Custer

          9,8993724




          9,8993724






















              up vote
              1
              down vote













              HINT



              Recall that for $A$ diagonalizable



              $$A=PDP^{-1}$$



              as an alternative refer to the definition of eigenvalues and, assuming as unknowns the 9 entries for $A$, solve




              • $Ax_1=lambda_1x_1$

              • $Ax_2=lambda_2x_2$

              • $Ax_3=lambda_3x_3$






              share|cite|improve this answer

























                up vote
                1
                down vote













                HINT



                Recall that for $A$ diagonalizable



                $$A=PDP^{-1}$$



                as an alternative refer to the definition of eigenvalues and, assuming as unknowns the 9 entries for $A$, solve




                • $Ax_1=lambda_1x_1$

                • $Ax_2=lambda_2x_2$

                • $Ax_3=lambda_3x_3$






                share|cite|improve this answer























                  up vote
                  1
                  down vote










                  up vote
                  1
                  down vote









                  HINT



                  Recall that for $A$ diagonalizable



                  $$A=PDP^{-1}$$



                  as an alternative refer to the definition of eigenvalues and, assuming as unknowns the 9 entries for $A$, solve




                  • $Ax_1=lambda_1x_1$

                  • $Ax_2=lambda_2x_2$

                  • $Ax_3=lambda_3x_3$






                  share|cite|improve this answer












                  HINT



                  Recall that for $A$ diagonalizable



                  $$A=PDP^{-1}$$



                  as an alternative refer to the definition of eigenvalues and, assuming as unknowns the 9 entries for $A$, solve




                  • $Ax_1=lambda_1x_1$

                  • $Ax_2=lambda_2x_2$

                  • $Ax_3=lambda_3x_3$







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Nov 25 at 21:29









                  gimusi

                  91.7k74495




                  91.7k74495






























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