Do Diagonal Matrices Always Commute?












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Let $A$ be an $n times n$ matrix and let $Lambda$ be an $n times n$ diagonal matrix. Is it always the case that $ALambda = Lambda A$? If not, when is it the case that $A Lambda = Lambda A$?



If we restrict the diagonal entries of $Lambda$ to being the equal (i.e. $Lambda = text{drag}(a, a, dots, a)$), then it is clear that $ALambda = AaI = aIA = Lambda A$. However, I can't seem to come up with an argument for the general case.










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  • 8




    $begingroup$
    Have you tried simple examples?
    $endgroup$
    – Friedrich Philipp
    Mar 15 '16 at 1:18






  • 7




    $begingroup$
    When the diagonal matrix is on the right, it scales the columns of the matrix it is multiplying. when the diagonal matrix is on the left, it scales the rows. Since column-scaling and row scaling are different operations, there are only very limited circumstances that the matrices will commute.
    $endgroup$
    – Nick Alger
    Mar 15 '16 at 1:30
















25












$begingroup$


Let $A$ be an $n times n$ matrix and let $Lambda$ be an $n times n$ diagonal matrix. Is it always the case that $ALambda = Lambda A$? If not, when is it the case that $A Lambda = Lambda A$?



If we restrict the diagonal entries of $Lambda$ to being the equal (i.e. $Lambda = text{drag}(a, a, dots, a)$), then it is clear that $ALambda = AaI = aIA = Lambda A$. However, I can't seem to come up with an argument for the general case.










share|cite|improve this question









$endgroup$








  • 8




    $begingroup$
    Have you tried simple examples?
    $endgroup$
    – Friedrich Philipp
    Mar 15 '16 at 1:18






  • 7




    $begingroup$
    When the diagonal matrix is on the right, it scales the columns of the matrix it is multiplying. when the diagonal matrix is on the left, it scales the rows. Since column-scaling and row scaling are different operations, there are only very limited circumstances that the matrices will commute.
    $endgroup$
    – Nick Alger
    Mar 15 '16 at 1:30














25












25








25


9



$begingroup$


Let $A$ be an $n times n$ matrix and let $Lambda$ be an $n times n$ diagonal matrix. Is it always the case that $ALambda = Lambda A$? If not, when is it the case that $A Lambda = Lambda A$?



If we restrict the diagonal entries of $Lambda$ to being the equal (i.e. $Lambda = text{drag}(a, a, dots, a)$), then it is clear that $ALambda = AaI = aIA = Lambda A$. However, I can't seem to come up with an argument for the general case.










share|cite|improve this question









$endgroup$




Let $A$ be an $n times n$ matrix and let $Lambda$ be an $n times n$ diagonal matrix. Is it always the case that $ALambda = Lambda A$? If not, when is it the case that $A Lambda = Lambda A$?



If we restrict the diagonal entries of $Lambda$ to being the equal (i.e. $Lambda = text{drag}(a, a, dots, a)$), then it is clear that $ALambda = AaI = aIA = Lambda A$. However, I can't seem to come up with an argument for the general case.







linear-algebra matrices






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asked Mar 15 '16 at 1:13









Jeff ScottJeff Scott

129123




129123








  • 8




    $begingroup$
    Have you tried simple examples?
    $endgroup$
    – Friedrich Philipp
    Mar 15 '16 at 1:18






  • 7




    $begingroup$
    When the diagonal matrix is on the right, it scales the columns of the matrix it is multiplying. when the diagonal matrix is on the left, it scales the rows. Since column-scaling and row scaling are different operations, there are only very limited circumstances that the matrices will commute.
    $endgroup$
    – Nick Alger
    Mar 15 '16 at 1:30














  • 8




    $begingroup$
    Have you tried simple examples?
    $endgroup$
    – Friedrich Philipp
    Mar 15 '16 at 1:18






  • 7




    $begingroup$
    When the diagonal matrix is on the right, it scales the columns of the matrix it is multiplying. when the diagonal matrix is on the left, it scales the rows. Since column-scaling and row scaling are different operations, there are only very limited circumstances that the matrices will commute.
    $endgroup$
    – Nick Alger
    Mar 15 '16 at 1:30








8




8




$begingroup$
Have you tried simple examples?
$endgroup$
– Friedrich Philipp
Mar 15 '16 at 1:18




$begingroup$
Have you tried simple examples?
$endgroup$
– Friedrich Philipp
Mar 15 '16 at 1:18




7




7




$begingroup$
When the diagonal matrix is on the right, it scales the columns of the matrix it is multiplying. when the diagonal matrix is on the left, it scales the rows. Since column-scaling and row scaling are different operations, there are only very limited circumstances that the matrices will commute.
$endgroup$
– Nick Alger
Mar 15 '16 at 1:30




$begingroup$
When the diagonal matrix is on the right, it scales the columns of the matrix it is multiplying. when the diagonal matrix is on the left, it scales the rows. Since column-scaling and row scaling are different operations, there are only very limited circumstances that the matrices will commute.
$endgroup$
– Nick Alger
Mar 15 '16 at 1:30










6 Answers
6






active

oldest

votes


















17












$begingroup$

If all the diagonal entries of$Lambda$ are distinct, it commutes only with diagonal matrices.



In contrast, for each $k$ consecutive equal diagonal entries in $Lambda,$ we may allow $A$ to have anything at all in the corresponding $k$ by $k$ square block with both corners on the main diagonal.



This means that the set of matrices that commute with $Lambda$ has a minimum dimension $n$ and a maximum dimension $n^2.$ Suppose we have $r$ different diagonal entries, and there are $k_i$ copies of diagonal entry $lambda_i.$ Each $k_i geq 1,$ and we have
$$ k_1 + k_2 + cdots + k_r = n. $$
Then by the block construction I mentioned above, the dimension of the space of matrices that commute with $Lambda$ is
$$ k_1^2 + k_2^2 + cdots + k_r^2. $$
The minimum is when $r=n,$ so all $k_i = 1,$ and the dimension is $n$



The maximum is when $r=1,$ and $k_1=n,$ the matrix is a scalar multiple of the identity matrix, and the dimension is $n^2.$






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  • $begingroup$
    Do the copies have to be right next to each other? e.g. diag(1,1,1,2,2,7,8,8)?
    $endgroup$
    – Hrit Roy
    Feb 8 '18 at 5:25










  • $begingroup$
    @HritRoy, no. You can change your basis to express the copies next to each other if you want to. But it is not necessary
    $endgroup$
    – Vladimir Vargas
    Apr 27 '18 at 22:22



















13












$begingroup$

It is possible that a diagonal matrix $Lambda$ commutes with a matrix $A$ when $A$ is symmetric and $A Lambda$ is also symmetric. We have



$$
Lambda A = (A^{top}Lambda^top)^{top} = (ALambda)^top = ALambda
$$



The above trivially holds when $A$ and $Lambda$ are both diagonal.






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$endgroup$





















    8












    $begingroup$

    A diagonal matrix will not commute with every matrix.



    $$
    begin{pmatrix} 1 & 0 \ 0 & 2 end{pmatrix}*begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix}=begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix}$$



    But:



    $$begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix} * begin{pmatrix} 1 & 0 \ 0 & 2 end{pmatrix} = begin{pmatrix} 0 & 2 \ 0 & 0 end{pmatrix}.$$






    share|cite|improve this answer











    $endgroup$





















      2












      $begingroup$

      The claim is false in general. Take $A = begin{bmatrix}1 & 2\3 & 4end{bmatrix}$
      $Lambda = begin{bmatrix}2 & 0\0 & 3end{bmatrix}$. Then



      $A Lambda = begin{bmatrix}2 & 6\6 & 12end{bmatrix}$



      $Lambda A = begin{bmatrix}2 & 4\9 & 12end{bmatrix}$



      On a more useful note, you can look up commuting matrices on Wikipedia.






      share|cite|improve this answer









      $endgroup$





















        0












        $begingroup$

        We want to find $Lambda$ such that $ALambda=Lambda A$. Then we have $$left( begin{array}{cc}
        sum a_{1n}lambda_{n1} & sum a_{1n}lambda_{n2} & sum a_{1n}lambda_{n3} & ... \
        sum a_{2n}lambda_{n1} & sum a_{2n}lambda_{n2} & sum a_{2n}lambda_{n3} & ...\
        sum a_{3n}lambda_{n1} & sum a_{3n}lambda_{n2} & sum a_{3n}lambda_{n3} & ...\
        ... & ... & ... & ...end{array} right)=left( begin{array}{cc}
        sum a_{n1}lambda_{1n} & sum a_{n1}lambda_{2n} & sum a_{n1}lambda_{3n} & ... \
        sum a_{n2}lambda_{1n} & sum a_{n2}lambda_{2n} & sum a_{n2}lambda_{3n} & ...\
        sum a_{n3}lambda_{1n} & sum a_{n3}lambda_{2n} & sum a_{n3}lambda_{3n} & ...\
        ... & ... & ... & ...end{array} right)$$ Hence for the equality to hold, both $A$ and $Lambda$ must be symmetric since $a_{in}=a_{ni}$ and $lambda_{in}=lambda_{ni}$ for $i=1,2,3,...$ A diagonal matrix is a special case of this.






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        • $begingroup$
          Hello, what is the name of this theorem? Or where is it in a book? I want to reference it. Thanks a lot.
          $endgroup$
          – Vladimir Vargas
          Apr 27 '18 at 22:09










        • $begingroup$
          I am not aware of a theorem whose result is this since it is just derived from the definition.
          $endgroup$
          – TheSimpliFire
          Apr 28 '18 at 8:20










        • $begingroup$
          "both $A$ and $Lambda$ must be symmetric" <-- not true as stated (it's not a necessary condition); also, $Lambda$ is symmetric already (being diagonal).
          $endgroup$
          – darij grinberg
          Jan 12 at 22:45





















        0












        $begingroup$

        The answer from @AOK is not generally true. Obviously for diagonal identical matrix $Lambda$ is valid only when $A$ is symmetric matrix.






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          6 Answers
          6






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          6 Answers
          6






          active

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          active

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          active

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          17












          $begingroup$

          If all the diagonal entries of$Lambda$ are distinct, it commutes only with diagonal matrices.



          In contrast, for each $k$ consecutive equal diagonal entries in $Lambda,$ we may allow $A$ to have anything at all in the corresponding $k$ by $k$ square block with both corners on the main diagonal.



          This means that the set of matrices that commute with $Lambda$ has a minimum dimension $n$ and a maximum dimension $n^2.$ Suppose we have $r$ different diagonal entries, and there are $k_i$ copies of diagonal entry $lambda_i.$ Each $k_i geq 1,$ and we have
          $$ k_1 + k_2 + cdots + k_r = n. $$
          Then by the block construction I mentioned above, the dimension of the space of matrices that commute with $Lambda$ is
          $$ k_1^2 + k_2^2 + cdots + k_r^2. $$
          The minimum is when $r=n,$ so all $k_i = 1,$ and the dimension is $n$



          The maximum is when $r=1,$ and $k_1=n,$ the matrix is a scalar multiple of the identity matrix, and the dimension is $n^2.$






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            Do the copies have to be right next to each other? e.g. diag(1,1,1,2,2,7,8,8)?
            $endgroup$
            – Hrit Roy
            Feb 8 '18 at 5:25










          • $begingroup$
            @HritRoy, no. You can change your basis to express the copies next to each other if you want to. But it is not necessary
            $endgroup$
            – Vladimir Vargas
            Apr 27 '18 at 22:22
















          17












          $begingroup$

          If all the diagonal entries of$Lambda$ are distinct, it commutes only with diagonal matrices.



          In contrast, for each $k$ consecutive equal diagonal entries in $Lambda,$ we may allow $A$ to have anything at all in the corresponding $k$ by $k$ square block with both corners on the main diagonal.



          This means that the set of matrices that commute with $Lambda$ has a minimum dimension $n$ and a maximum dimension $n^2.$ Suppose we have $r$ different diagonal entries, and there are $k_i$ copies of diagonal entry $lambda_i.$ Each $k_i geq 1,$ and we have
          $$ k_1 + k_2 + cdots + k_r = n. $$
          Then by the block construction I mentioned above, the dimension of the space of matrices that commute with $Lambda$ is
          $$ k_1^2 + k_2^2 + cdots + k_r^2. $$
          The minimum is when $r=n,$ so all $k_i = 1,$ and the dimension is $n$



          The maximum is when $r=1,$ and $k_1=n,$ the matrix is a scalar multiple of the identity matrix, and the dimension is $n^2.$






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            Do the copies have to be right next to each other? e.g. diag(1,1,1,2,2,7,8,8)?
            $endgroup$
            – Hrit Roy
            Feb 8 '18 at 5:25










          • $begingroup$
            @HritRoy, no. You can change your basis to express the copies next to each other if you want to. But it is not necessary
            $endgroup$
            – Vladimir Vargas
            Apr 27 '18 at 22:22














          17












          17








          17





          $begingroup$

          If all the diagonal entries of$Lambda$ are distinct, it commutes only with diagonal matrices.



          In contrast, for each $k$ consecutive equal diagonal entries in $Lambda,$ we may allow $A$ to have anything at all in the corresponding $k$ by $k$ square block with both corners on the main diagonal.



          This means that the set of matrices that commute with $Lambda$ has a minimum dimension $n$ and a maximum dimension $n^2.$ Suppose we have $r$ different diagonal entries, and there are $k_i$ copies of diagonal entry $lambda_i.$ Each $k_i geq 1,$ and we have
          $$ k_1 + k_2 + cdots + k_r = n. $$
          Then by the block construction I mentioned above, the dimension of the space of matrices that commute with $Lambda$ is
          $$ k_1^2 + k_2^2 + cdots + k_r^2. $$
          The minimum is when $r=n,$ so all $k_i = 1,$ and the dimension is $n$



          The maximum is when $r=1,$ and $k_1=n,$ the matrix is a scalar multiple of the identity matrix, and the dimension is $n^2.$






          share|cite|improve this answer











          $endgroup$



          If all the diagonal entries of$Lambda$ are distinct, it commutes only with diagonal matrices.



          In contrast, for each $k$ consecutive equal diagonal entries in $Lambda,$ we may allow $A$ to have anything at all in the corresponding $k$ by $k$ square block with both corners on the main diagonal.



          This means that the set of matrices that commute with $Lambda$ has a minimum dimension $n$ and a maximum dimension $n^2.$ Suppose we have $r$ different diagonal entries, and there are $k_i$ copies of diagonal entry $lambda_i.$ Each $k_i geq 1,$ and we have
          $$ k_1 + k_2 + cdots + k_r = n. $$
          Then by the block construction I mentioned above, the dimension of the space of matrices that commute with $Lambda$ is
          $$ k_1^2 + k_2^2 + cdots + k_r^2. $$
          The minimum is when $r=n,$ so all $k_i = 1,$ and the dimension is $n$



          The maximum is when $r=1,$ and $k_1=n,$ the matrix is a scalar multiple of the identity matrix, and the dimension is $n^2.$







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Mar 15 '16 at 2:44

























          answered Mar 15 '16 at 2:19









          Will JagyWill Jagy

          104k5102201




          104k5102201












          • $begingroup$
            Do the copies have to be right next to each other? e.g. diag(1,1,1,2,2,7,8,8)?
            $endgroup$
            – Hrit Roy
            Feb 8 '18 at 5:25










          • $begingroup$
            @HritRoy, no. You can change your basis to express the copies next to each other if you want to. But it is not necessary
            $endgroup$
            – Vladimir Vargas
            Apr 27 '18 at 22:22


















          • $begingroup$
            Do the copies have to be right next to each other? e.g. diag(1,1,1,2,2,7,8,8)?
            $endgroup$
            – Hrit Roy
            Feb 8 '18 at 5:25










          • $begingroup$
            @HritRoy, no. You can change your basis to express the copies next to each other if you want to. But it is not necessary
            $endgroup$
            – Vladimir Vargas
            Apr 27 '18 at 22:22
















          $begingroup$
          Do the copies have to be right next to each other? e.g. diag(1,1,1,2,2,7,8,8)?
          $endgroup$
          – Hrit Roy
          Feb 8 '18 at 5:25




          $begingroup$
          Do the copies have to be right next to each other? e.g. diag(1,1,1,2,2,7,8,8)?
          $endgroup$
          – Hrit Roy
          Feb 8 '18 at 5:25












          $begingroup$
          @HritRoy, no. You can change your basis to express the copies next to each other if you want to. But it is not necessary
          $endgroup$
          – Vladimir Vargas
          Apr 27 '18 at 22:22




          $begingroup$
          @HritRoy, no. You can change your basis to express the copies next to each other if you want to. But it is not necessary
          $endgroup$
          – Vladimir Vargas
          Apr 27 '18 at 22:22











          13












          $begingroup$

          It is possible that a diagonal matrix $Lambda$ commutes with a matrix $A$ when $A$ is symmetric and $A Lambda$ is also symmetric. We have



          $$
          Lambda A = (A^{top}Lambda^top)^{top} = (ALambda)^top = ALambda
          $$



          The above trivially holds when $A$ and $Lambda$ are both diagonal.






          share|cite|improve this answer











          $endgroup$


















            13












            $begingroup$

            It is possible that a diagonal matrix $Lambda$ commutes with a matrix $A$ when $A$ is symmetric and $A Lambda$ is also symmetric. We have



            $$
            Lambda A = (A^{top}Lambda^top)^{top} = (ALambda)^top = ALambda
            $$



            The above trivially holds when $A$ and $Lambda$ are both diagonal.






            share|cite|improve this answer











            $endgroup$
















              13












              13








              13





              $begingroup$

              It is possible that a diagonal matrix $Lambda$ commutes with a matrix $A$ when $A$ is symmetric and $A Lambda$ is also symmetric. We have



              $$
              Lambda A = (A^{top}Lambda^top)^{top} = (ALambda)^top = ALambda
              $$



              The above trivially holds when $A$ and $Lambda$ are both diagonal.






              share|cite|improve this answer











              $endgroup$



              It is possible that a diagonal matrix $Lambda$ commutes with a matrix $A$ when $A$ is symmetric and $A Lambda$ is also symmetric. We have



              $$
              Lambda A = (A^{top}Lambda^top)^{top} = (ALambda)^top = ALambda
              $$



              The above trivially holds when $A$ and $Lambda$ are both diagonal.







              share|cite|improve this answer














              share|cite|improve this answer



              share|cite|improve this answer








              edited Mar 15 '16 at 1:50

























              answered Mar 15 '16 at 1:45









              user322903user322903

              1564




              1564























                  8












                  $begingroup$

                  A diagonal matrix will not commute with every matrix.



                  $$
                  begin{pmatrix} 1 & 0 \ 0 & 2 end{pmatrix}*begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix}=begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix}$$



                  But:



                  $$begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix} * begin{pmatrix} 1 & 0 \ 0 & 2 end{pmatrix} = begin{pmatrix} 0 & 2 \ 0 & 0 end{pmatrix}.$$






                  share|cite|improve this answer











                  $endgroup$


















                    8












                    $begingroup$

                    A diagonal matrix will not commute with every matrix.



                    $$
                    begin{pmatrix} 1 & 0 \ 0 & 2 end{pmatrix}*begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix}=begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix}$$



                    But:



                    $$begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix} * begin{pmatrix} 1 & 0 \ 0 & 2 end{pmatrix} = begin{pmatrix} 0 & 2 \ 0 & 0 end{pmatrix}.$$






                    share|cite|improve this answer











                    $endgroup$
















                      8












                      8








                      8





                      $begingroup$

                      A diagonal matrix will not commute with every matrix.



                      $$
                      begin{pmatrix} 1 & 0 \ 0 & 2 end{pmatrix}*begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix}=begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix}$$



                      But:



                      $$begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix} * begin{pmatrix} 1 & 0 \ 0 & 2 end{pmatrix} = begin{pmatrix} 0 & 2 \ 0 & 0 end{pmatrix}.$$






                      share|cite|improve this answer











                      $endgroup$



                      A diagonal matrix will not commute with every matrix.



                      $$
                      begin{pmatrix} 1 & 0 \ 0 & 2 end{pmatrix}*begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix}=begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix}$$



                      But:



                      $$begin{pmatrix} 0 & 1 \ 0 & 0 end{pmatrix} * begin{pmatrix} 1 & 0 \ 0 & 2 end{pmatrix} = begin{pmatrix} 0 & 2 \ 0 & 0 end{pmatrix}.$$







                      share|cite|improve this answer














                      share|cite|improve this answer



                      share|cite|improve this answer








                      edited Mar 15 '16 at 2:49









                      pjs36

                      15.8k32962




                      15.8k32962










                      answered Mar 15 '16 at 1:25









                      Gregory SimonGregory Simon

                      50124




                      50124























                          2












                          $begingroup$

                          The claim is false in general. Take $A = begin{bmatrix}1 & 2\3 & 4end{bmatrix}$
                          $Lambda = begin{bmatrix}2 & 0\0 & 3end{bmatrix}$. Then



                          $A Lambda = begin{bmatrix}2 & 6\6 & 12end{bmatrix}$



                          $Lambda A = begin{bmatrix}2 & 4\9 & 12end{bmatrix}$



                          On a more useful note, you can look up commuting matrices on Wikipedia.






                          share|cite|improve this answer









                          $endgroup$


















                            2












                            $begingroup$

                            The claim is false in general. Take $A = begin{bmatrix}1 & 2\3 & 4end{bmatrix}$
                            $Lambda = begin{bmatrix}2 & 0\0 & 3end{bmatrix}$. Then



                            $A Lambda = begin{bmatrix}2 & 6\6 & 12end{bmatrix}$



                            $Lambda A = begin{bmatrix}2 & 4\9 & 12end{bmatrix}$



                            On a more useful note, you can look up commuting matrices on Wikipedia.






                            share|cite|improve this answer









                            $endgroup$
















                              2












                              2








                              2





                              $begingroup$

                              The claim is false in general. Take $A = begin{bmatrix}1 & 2\3 & 4end{bmatrix}$
                              $Lambda = begin{bmatrix}2 & 0\0 & 3end{bmatrix}$. Then



                              $A Lambda = begin{bmatrix}2 & 6\6 & 12end{bmatrix}$



                              $Lambda A = begin{bmatrix}2 & 4\9 & 12end{bmatrix}$



                              On a more useful note, you can look up commuting matrices on Wikipedia.






                              share|cite|improve this answer









                              $endgroup$



                              The claim is false in general. Take $A = begin{bmatrix}1 & 2\3 & 4end{bmatrix}$
                              $Lambda = begin{bmatrix}2 & 0\0 & 3end{bmatrix}$. Then



                              $A Lambda = begin{bmatrix}2 & 6\6 & 12end{bmatrix}$



                              $Lambda A = begin{bmatrix}2 & 4\9 & 12end{bmatrix}$



                              On a more useful note, you can look up commuting matrices on Wikipedia.







                              share|cite|improve this answer












                              share|cite|improve this answer



                              share|cite|improve this answer










                              answered Mar 15 '16 at 1:31









                              cpiegorecpiegore

                              4982526




                              4982526























                                  0












                                  $begingroup$

                                  We want to find $Lambda$ such that $ALambda=Lambda A$. Then we have $$left( begin{array}{cc}
                                  sum a_{1n}lambda_{n1} & sum a_{1n}lambda_{n2} & sum a_{1n}lambda_{n3} & ... \
                                  sum a_{2n}lambda_{n1} & sum a_{2n}lambda_{n2} & sum a_{2n}lambda_{n3} & ...\
                                  sum a_{3n}lambda_{n1} & sum a_{3n}lambda_{n2} & sum a_{3n}lambda_{n3} & ...\
                                  ... & ... & ... & ...end{array} right)=left( begin{array}{cc}
                                  sum a_{n1}lambda_{1n} & sum a_{n1}lambda_{2n} & sum a_{n1}lambda_{3n} & ... \
                                  sum a_{n2}lambda_{1n} & sum a_{n2}lambda_{2n} & sum a_{n2}lambda_{3n} & ...\
                                  sum a_{n3}lambda_{1n} & sum a_{n3}lambda_{2n} & sum a_{n3}lambda_{3n} & ...\
                                  ... & ... & ... & ...end{array} right)$$ Hence for the equality to hold, both $A$ and $Lambda$ must be symmetric since $a_{in}=a_{ni}$ and $lambda_{in}=lambda_{ni}$ for $i=1,2,3,...$ A diagonal matrix is a special case of this.






                                  share|cite|improve this answer









                                  $endgroup$













                                  • $begingroup$
                                    Hello, what is the name of this theorem? Or where is it in a book? I want to reference it. Thanks a lot.
                                    $endgroup$
                                    – Vladimir Vargas
                                    Apr 27 '18 at 22:09










                                  • $begingroup$
                                    I am not aware of a theorem whose result is this since it is just derived from the definition.
                                    $endgroup$
                                    – TheSimpliFire
                                    Apr 28 '18 at 8:20










                                  • $begingroup$
                                    "both $A$ and $Lambda$ must be symmetric" <-- not true as stated (it's not a necessary condition); also, $Lambda$ is symmetric already (being diagonal).
                                    $endgroup$
                                    – darij grinberg
                                    Jan 12 at 22:45


















                                  0












                                  $begingroup$

                                  We want to find $Lambda$ such that $ALambda=Lambda A$. Then we have $$left( begin{array}{cc}
                                  sum a_{1n}lambda_{n1} & sum a_{1n}lambda_{n2} & sum a_{1n}lambda_{n3} & ... \
                                  sum a_{2n}lambda_{n1} & sum a_{2n}lambda_{n2} & sum a_{2n}lambda_{n3} & ...\
                                  sum a_{3n}lambda_{n1} & sum a_{3n}lambda_{n2} & sum a_{3n}lambda_{n3} & ...\
                                  ... & ... & ... & ...end{array} right)=left( begin{array}{cc}
                                  sum a_{n1}lambda_{1n} & sum a_{n1}lambda_{2n} & sum a_{n1}lambda_{3n} & ... \
                                  sum a_{n2}lambda_{1n} & sum a_{n2}lambda_{2n} & sum a_{n2}lambda_{3n} & ...\
                                  sum a_{n3}lambda_{1n} & sum a_{n3}lambda_{2n} & sum a_{n3}lambda_{3n} & ...\
                                  ... & ... & ... & ...end{array} right)$$ Hence for the equality to hold, both $A$ and $Lambda$ must be symmetric since $a_{in}=a_{ni}$ and $lambda_{in}=lambda_{ni}$ for $i=1,2,3,...$ A diagonal matrix is a special case of this.






                                  share|cite|improve this answer









                                  $endgroup$













                                  • $begingroup$
                                    Hello, what is the name of this theorem? Or where is it in a book? I want to reference it. Thanks a lot.
                                    $endgroup$
                                    – Vladimir Vargas
                                    Apr 27 '18 at 22:09










                                  • $begingroup$
                                    I am not aware of a theorem whose result is this since it is just derived from the definition.
                                    $endgroup$
                                    – TheSimpliFire
                                    Apr 28 '18 at 8:20










                                  • $begingroup$
                                    "both $A$ and $Lambda$ must be symmetric" <-- not true as stated (it's not a necessary condition); also, $Lambda$ is symmetric already (being diagonal).
                                    $endgroup$
                                    – darij grinberg
                                    Jan 12 at 22:45
















                                  0












                                  0








                                  0





                                  $begingroup$

                                  We want to find $Lambda$ such that $ALambda=Lambda A$. Then we have $$left( begin{array}{cc}
                                  sum a_{1n}lambda_{n1} & sum a_{1n}lambda_{n2} & sum a_{1n}lambda_{n3} & ... \
                                  sum a_{2n}lambda_{n1} & sum a_{2n}lambda_{n2} & sum a_{2n}lambda_{n3} & ...\
                                  sum a_{3n}lambda_{n1} & sum a_{3n}lambda_{n2} & sum a_{3n}lambda_{n3} & ...\
                                  ... & ... & ... & ...end{array} right)=left( begin{array}{cc}
                                  sum a_{n1}lambda_{1n} & sum a_{n1}lambda_{2n} & sum a_{n1}lambda_{3n} & ... \
                                  sum a_{n2}lambda_{1n} & sum a_{n2}lambda_{2n} & sum a_{n2}lambda_{3n} & ...\
                                  sum a_{n3}lambda_{1n} & sum a_{n3}lambda_{2n} & sum a_{n3}lambda_{3n} & ...\
                                  ... & ... & ... & ...end{array} right)$$ Hence for the equality to hold, both $A$ and $Lambda$ must be symmetric since $a_{in}=a_{ni}$ and $lambda_{in}=lambda_{ni}$ for $i=1,2,3,...$ A diagonal matrix is a special case of this.






                                  share|cite|improve this answer









                                  $endgroup$



                                  We want to find $Lambda$ such that $ALambda=Lambda A$. Then we have $$left( begin{array}{cc}
                                  sum a_{1n}lambda_{n1} & sum a_{1n}lambda_{n2} & sum a_{1n}lambda_{n3} & ... \
                                  sum a_{2n}lambda_{n1} & sum a_{2n}lambda_{n2} & sum a_{2n}lambda_{n3} & ...\
                                  sum a_{3n}lambda_{n1} & sum a_{3n}lambda_{n2} & sum a_{3n}lambda_{n3} & ...\
                                  ... & ... & ... & ...end{array} right)=left( begin{array}{cc}
                                  sum a_{n1}lambda_{1n} & sum a_{n1}lambda_{2n} & sum a_{n1}lambda_{3n} & ... \
                                  sum a_{n2}lambda_{1n} & sum a_{n2}lambda_{2n} & sum a_{n2}lambda_{3n} & ...\
                                  sum a_{n3}lambda_{1n} & sum a_{n3}lambda_{2n} & sum a_{n3}lambda_{3n} & ...\
                                  ... & ... & ... & ...end{array} right)$$ Hence for the equality to hold, both $A$ and $Lambda$ must be symmetric since $a_{in}=a_{ni}$ and $lambda_{in}=lambda_{ni}$ for $i=1,2,3,...$ A diagonal matrix is a special case of this.







                                  share|cite|improve this answer












                                  share|cite|improve this answer



                                  share|cite|improve this answer










                                  answered Dec 16 '17 at 16:06









                                  TheSimpliFireTheSimpliFire

                                  12.8k62461




                                  12.8k62461












                                  • $begingroup$
                                    Hello, what is the name of this theorem? Or where is it in a book? I want to reference it. Thanks a lot.
                                    $endgroup$
                                    – Vladimir Vargas
                                    Apr 27 '18 at 22:09










                                  • $begingroup$
                                    I am not aware of a theorem whose result is this since it is just derived from the definition.
                                    $endgroup$
                                    – TheSimpliFire
                                    Apr 28 '18 at 8:20










                                  • $begingroup$
                                    "both $A$ and $Lambda$ must be symmetric" <-- not true as stated (it's not a necessary condition); also, $Lambda$ is symmetric already (being diagonal).
                                    $endgroup$
                                    – darij grinberg
                                    Jan 12 at 22:45




















                                  • $begingroup$
                                    Hello, what is the name of this theorem? Or where is it in a book? I want to reference it. Thanks a lot.
                                    $endgroup$
                                    – Vladimir Vargas
                                    Apr 27 '18 at 22:09










                                  • $begingroup$
                                    I am not aware of a theorem whose result is this since it is just derived from the definition.
                                    $endgroup$
                                    – TheSimpliFire
                                    Apr 28 '18 at 8:20










                                  • $begingroup$
                                    "both $A$ and $Lambda$ must be symmetric" <-- not true as stated (it's not a necessary condition); also, $Lambda$ is symmetric already (being diagonal).
                                    $endgroup$
                                    – darij grinberg
                                    Jan 12 at 22:45


















                                  $begingroup$
                                  Hello, what is the name of this theorem? Or where is it in a book? I want to reference it. Thanks a lot.
                                  $endgroup$
                                  – Vladimir Vargas
                                  Apr 27 '18 at 22:09




                                  $begingroup$
                                  Hello, what is the name of this theorem? Or where is it in a book? I want to reference it. Thanks a lot.
                                  $endgroup$
                                  – Vladimir Vargas
                                  Apr 27 '18 at 22:09












                                  $begingroup$
                                  I am not aware of a theorem whose result is this since it is just derived from the definition.
                                  $endgroup$
                                  – TheSimpliFire
                                  Apr 28 '18 at 8:20




                                  $begingroup$
                                  I am not aware of a theorem whose result is this since it is just derived from the definition.
                                  $endgroup$
                                  – TheSimpliFire
                                  Apr 28 '18 at 8:20












                                  $begingroup$
                                  "both $A$ and $Lambda$ must be symmetric" <-- not true as stated (it's not a necessary condition); also, $Lambda$ is symmetric already (being diagonal).
                                  $endgroup$
                                  – darij grinberg
                                  Jan 12 at 22:45






                                  $begingroup$
                                  "both $A$ and $Lambda$ must be symmetric" <-- not true as stated (it's not a necessary condition); also, $Lambda$ is symmetric already (being diagonal).
                                  $endgroup$
                                  – darij grinberg
                                  Jan 12 at 22:45













                                  0












                                  $begingroup$

                                  The answer from @AOK is not generally true. Obviously for diagonal identical matrix $Lambda$ is valid only when $A$ is symmetric matrix.






                                  share|cite|improve this answer









                                  $endgroup$


















                                    0












                                    $begingroup$

                                    The answer from @AOK is not generally true. Obviously for diagonal identical matrix $Lambda$ is valid only when $A$ is symmetric matrix.






                                    share|cite|improve this answer









                                    $endgroup$
















                                      0












                                      0








                                      0





                                      $begingroup$

                                      The answer from @AOK is not generally true. Obviously for diagonal identical matrix $Lambda$ is valid only when $A$ is symmetric matrix.






                                      share|cite|improve this answer









                                      $endgroup$



                                      The answer from @AOK is not generally true. Obviously for diagonal identical matrix $Lambda$ is valid only when $A$ is symmetric matrix.







                                      share|cite|improve this answer












                                      share|cite|improve this answer



                                      share|cite|improve this answer










                                      answered Jan 12 at 22:22









                                      BigFOX IBigFOX I

                                      11




                                      11






























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