Quick question about eigenvalues of $3times3$ matrix












2














I'm looking over solutions from past exams. For this problem, the solution states “By inspection, we see that $2$ is an eigenvalue”. Given arbitrary $3times3$ matrix below$$begin{bmatrix}2&a&b \0&c&d\0&e&fend{bmatrix}$$



How is it obvious that $2$ is an eigenvalue? other constants are arbitrary so I can't assume it's an upper triangular matrix.










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    2














    I'm looking over solutions from past exams. For this problem, the solution states “By inspection, we see that $2$ is an eigenvalue”. Given arbitrary $3times3$ matrix below$$begin{bmatrix}2&a&b \0&c&d\0&e&fend{bmatrix}$$



    How is it obvious that $2$ is an eigenvalue? other constants are arbitrary so I can't assume it's an upper triangular matrix.










    share|cite|improve this question



























      2












      2








      2







      I'm looking over solutions from past exams. For this problem, the solution states “By inspection, we see that $2$ is an eigenvalue”. Given arbitrary $3times3$ matrix below$$begin{bmatrix}2&a&b \0&c&d\0&e&fend{bmatrix}$$



      How is it obvious that $2$ is an eigenvalue? other constants are arbitrary so I can't assume it's an upper triangular matrix.










      share|cite|improve this question















      I'm looking over solutions from past exams. For this problem, the solution states “By inspection, we see that $2$ is an eigenvalue”. Given arbitrary $3times3$ matrix below$$begin{bmatrix}2&a&b \0&c&d\0&e&fend{bmatrix}$$



      How is it obvious that $2$ is an eigenvalue? other constants are arbitrary so I can't assume it's an upper triangular matrix.







      linear-algebra matrices eigenvalues-eigenvectors






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      edited Dec 12 '18 at 8:36









      José Carlos Santos

      152k22123226




      152k22123226










      asked Dec 12 '18 at 8:31









      BradBrad

      111




      111






















          5 Answers
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          3














          It is obvious since, if $M$ is your matrix, then$$M.(1,0,0)=(2,0,0)=2(1,0,0).$$






          share|cite|improve this answer





























            1














            Consider $det (A-lambda I)$ and expand the determinant through first column.






            share|cite|improve this answer





























              1














              It is obvious since, if you subtract $2I$, the matrix has a zero column. Thus if $M$ is your matrix,
              $$
              det(M-2I)=0
              $$






              share|cite|improve this answer





























                1














                The columns of the matrix are the images of the basis vectors. The first column is a scalar multiple of $(1,0,0)^T$, therefore...






                share|cite|improve this answer





























                  0














                  This is a block upper triangular matrix of the form of $$M=begin{bmatrix} A & B \ O & Dend{bmatrix}$$, the eigenvalues of $M$ are eigenvalues of $A$ and $D$ since



                  $$det(M-lambda I)=det(A-lambda I_1) det(D-lambda I_2)$$



                  where $I_2$ and $I_2$ are identity matrices of appropriate sizes.






                  share|cite|improve this answer





















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                    5 Answers
                    5






                    active

                    oldest

                    votes








                    5 Answers
                    5






                    active

                    oldest

                    votes









                    active

                    oldest

                    votes






                    active

                    oldest

                    votes









                    3














                    It is obvious since, if $M$ is your matrix, then$$M.(1,0,0)=(2,0,0)=2(1,0,0).$$






                    share|cite|improve this answer


























                      3














                      It is obvious since, if $M$ is your matrix, then$$M.(1,0,0)=(2,0,0)=2(1,0,0).$$






                      share|cite|improve this answer
























                        3












                        3








                        3






                        It is obvious since, if $M$ is your matrix, then$$M.(1,0,0)=(2,0,0)=2(1,0,0).$$






                        share|cite|improve this answer












                        It is obvious since, if $M$ is your matrix, then$$M.(1,0,0)=(2,0,0)=2(1,0,0).$$







                        share|cite|improve this answer












                        share|cite|improve this answer



                        share|cite|improve this answer










                        answered Dec 12 '18 at 8:34









                        José Carlos SantosJosé Carlos Santos

                        152k22123226




                        152k22123226























                            1














                            Consider $det (A-lambda I)$ and expand the determinant through first column.






                            share|cite|improve this answer


























                              1














                              Consider $det (A-lambda I)$ and expand the determinant through first column.






                              share|cite|improve this answer
























                                1












                                1








                                1






                                Consider $det (A-lambda I)$ and expand the determinant through first column.






                                share|cite|improve this answer












                                Consider $det (A-lambda I)$ and expand the determinant through first column.







                                share|cite|improve this answer












                                share|cite|improve this answer



                                share|cite|improve this answer










                                answered Dec 12 '18 at 8:34









                                Kavi Rama MurthyKavi Rama Murthy

                                51.6k31955




                                51.6k31955























                                    1














                                    It is obvious since, if you subtract $2I$, the matrix has a zero column. Thus if $M$ is your matrix,
                                    $$
                                    det(M-2I)=0
                                    $$






                                    share|cite|improve this answer


























                                      1














                                      It is obvious since, if you subtract $2I$, the matrix has a zero column. Thus if $M$ is your matrix,
                                      $$
                                      det(M-2I)=0
                                      $$






                                      share|cite|improve this answer
























                                        1












                                        1








                                        1






                                        It is obvious since, if you subtract $2I$, the matrix has a zero column. Thus if $M$ is your matrix,
                                        $$
                                        det(M-2I)=0
                                        $$






                                        share|cite|improve this answer












                                        It is obvious since, if you subtract $2I$, the matrix has a zero column. Thus if $M$ is your matrix,
                                        $$
                                        det(M-2I)=0
                                        $$







                                        share|cite|improve this answer












                                        share|cite|improve this answer



                                        share|cite|improve this answer










                                        answered Dec 12 '18 at 8:35









                                        ArthurArthur

                                        111k7105186




                                        111k7105186























                                            1














                                            The columns of the matrix are the images of the basis vectors. The first column is a scalar multiple of $(1,0,0)^T$, therefore...






                                            share|cite|improve this answer


























                                              1














                                              The columns of the matrix are the images of the basis vectors. The first column is a scalar multiple of $(1,0,0)^T$, therefore...






                                              share|cite|improve this answer
























                                                1












                                                1








                                                1






                                                The columns of the matrix are the images of the basis vectors. The first column is a scalar multiple of $(1,0,0)^T$, therefore...






                                                share|cite|improve this answer












                                                The columns of the matrix are the images of the basis vectors. The first column is a scalar multiple of $(1,0,0)^T$, therefore...







                                                share|cite|improve this answer












                                                share|cite|improve this answer



                                                share|cite|improve this answer










                                                answered Dec 12 '18 at 10:55









                                                amdamd

                                                29.3k21050




                                                29.3k21050























                                                    0














                                                    This is a block upper triangular matrix of the form of $$M=begin{bmatrix} A & B \ O & Dend{bmatrix}$$, the eigenvalues of $M$ are eigenvalues of $A$ and $D$ since



                                                    $$det(M-lambda I)=det(A-lambda I_1) det(D-lambda I_2)$$



                                                    where $I_2$ and $I_2$ are identity matrices of appropriate sizes.






                                                    share|cite|improve this answer


























                                                      0














                                                      This is a block upper triangular matrix of the form of $$M=begin{bmatrix} A & B \ O & Dend{bmatrix}$$, the eigenvalues of $M$ are eigenvalues of $A$ and $D$ since



                                                      $$det(M-lambda I)=det(A-lambda I_1) det(D-lambda I_2)$$



                                                      where $I_2$ and $I_2$ are identity matrices of appropriate sizes.






                                                      share|cite|improve this answer
























                                                        0












                                                        0








                                                        0






                                                        This is a block upper triangular matrix of the form of $$M=begin{bmatrix} A & B \ O & Dend{bmatrix}$$, the eigenvalues of $M$ are eigenvalues of $A$ and $D$ since



                                                        $$det(M-lambda I)=det(A-lambda I_1) det(D-lambda I_2)$$



                                                        where $I_2$ and $I_2$ are identity matrices of appropriate sizes.






                                                        share|cite|improve this answer












                                                        This is a block upper triangular matrix of the form of $$M=begin{bmatrix} A & B \ O & Dend{bmatrix}$$, the eigenvalues of $M$ are eigenvalues of $A$ and $D$ since



                                                        $$det(M-lambda I)=det(A-lambda I_1) det(D-lambda I_2)$$



                                                        where $I_2$ and $I_2$ are identity matrices of appropriate sizes.







                                                        share|cite|improve this answer












                                                        share|cite|improve this answer



                                                        share|cite|improve this answer










                                                        answered Dec 12 '18 at 8:35









                                                        Siong Thye GohSiong Thye Goh

                                                        99.6k1464117




                                                        99.6k1464117






























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