If a diagonalizable matrix is equal to its cube, then its rank is equal to the trace of its square












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Suppose $A in Bbb R ^{n times n}$ is such that $A^3=A$, and $A$ is diagonalizable. Prove that $operatorname{trace}(A^2) = operatorname{rank}(A)$.



I know that the possible eigenvalues of $A$ are $0,1,-1$. But how does that help to prove the required relation between trace and rank?










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    0












    $begingroup$


    Suppose $A in Bbb R ^{n times n}$ is such that $A^3=A$, and $A$ is diagonalizable. Prove that $operatorname{trace}(A^2) = operatorname{rank}(A)$.



    I know that the possible eigenvalues of $A$ are $0,1,-1$. But how does that help to prove the required relation between trace and rank?










    share|cite|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$


      Suppose $A in Bbb R ^{n times n}$ is such that $A^3=A$, and $A$ is diagonalizable. Prove that $operatorname{trace}(A^2) = operatorname{rank}(A)$.



      I know that the possible eigenvalues of $A$ are $0,1,-1$. But how does that help to prove the required relation between trace and rank?










      share|cite|improve this question











      $endgroup$




      Suppose $A in Bbb R ^{n times n}$ is such that $A^3=A$, and $A$ is diagonalizable. Prove that $operatorname{trace}(A^2) = operatorname{rank}(A)$.



      I know that the possible eigenvalues of $A$ are $0,1,-1$. But how does that help to prove the required relation between trace and rank?







      linear-algebra matrices eigenvalues-eigenvectors diagonalization






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      edited Oct 11 '15 at 4:55







      user147263

















      asked Oct 6 '15 at 7:53









      StabiloStabilo

      729512




      729512






















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          $begingroup$

          $Tr(A^2)=sum_{i}lambda_i^2$. Let the number of $1$'s be $k$, no. of $-1$'s be $l$, then, $Tr(A^2)=k+l$ and $rank(A)=$ no. of nonzero eigenvalues of $A$, which is again $k+l$.






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          • $begingroup$
            Two questions 1.Where is the fact that $A$ is diagonalizable used?2.how is rank of A=no. of non-zero eigen values
            $endgroup$
            – Learnmore
            Oct 6 '15 at 10:13










          • $begingroup$
            @learnmore A is similar to diagonal matrix D that its diagonal elements are A's eigenvalues, so tr(A)=tr(D) which is multiplication of diagonal elements = multiplication of eigenvalues. Also rank(A)=rank(D) = no. of non-zero eigenvalues.
            $endgroup$
            – Stabilo
            Oct 6 '15 at 10:40












          • $begingroup$
            $tr(D)$ =sum of diagonal elements ;anyway got your point
            $endgroup$
            – Learnmore
            Oct 6 '15 at 10:44














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          $begingroup$

          $Tr(A^2)=sum_{i}lambda_i^2$. Let the number of $1$'s be $k$, no. of $-1$'s be $l$, then, $Tr(A^2)=k+l$ and $rank(A)=$ no. of nonzero eigenvalues of $A$, which is again $k+l$.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Two questions 1.Where is the fact that $A$ is diagonalizable used?2.how is rank of A=no. of non-zero eigen values
            $endgroup$
            – Learnmore
            Oct 6 '15 at 10:13










          • $begingroup$
            @learnmore A is similar to diagonal matrix D that its diagonal elements are A's eigenvalues, so tr(A)=tr(D) which is multiplication of diagonal elements = multiplication of eigenvalues. Also rank(A)=rank(D) = no. of non-zero eigenvalues.
            $endgroup$
            – Stabilo
            Oct 6 '15 at 10:40












          • $begingroup$
            $tr(D)$ =sum of diagonal elements ;anyway got your point
            $endgroup$
            – Learnmore
            Oct 6 '15 at 10:44


















          2












          $begingroup$

          $Tr(A^2)=sum_{i}lambda_i^2$. Let the number of $1$'s be $k$, no. of $-1$'s be $l$, then, $Tr(A^2)=k+l$ and $rank(A)=$ no. of nonzero eigenvalues of $A$, which is again $k+l$.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Two questions 1.Where is the fact that $A$ is diagonalizable used?2.how is rank of A=no. of non-zero eigen values
            $endgroup$
            – Learnmore
            Oct 6 '15 at 10:13










          • $begingroup$
            @learnmore A is similar to diagonal matrix D that its diagonal elements are A's eigenvalues, so tr(A)=tr(D) which is multiplication of diagonal elements = multiplication of eigenvalues. Also rank(A)=rank(D) = no. of non-zero eigenvalues.
            $endgroup$
            – Stabilo
            Oct 6 '15 at 10:40












          • $begingroup$
            $tr(D)$ =sum of diagonal elements ;anyway got your point
            $endgroup$
            – Learnmore
            Oct 6 '15 at 10:44
















          2












          2








          2





          $begingroup$

          $Tr(A^2)=sum_{i}lambda_i^2$. Let the number of $1$'s be $k$, no. of $-1$'s be $l$, then, $Tr(A^2)=k+l$ and $rank(A)=$ no. of nonzero eigenvalues of $A$, which is again $k+l$.






          share|cite|improve this answer









          $endgroup$



          $Tr(A^2)=sum_{i}lambda_i^2$. Let the number of $1$'s be $k$, no. of $-1$'s be $l$, then, $Tr(A^2)=k+l$ and $rank(A)=$ no. of nonzero eigenvalues of $A$, which is again $k+l$.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Oct 6 '15 at 7:58









          Samrat MukhopadhyaySamrat Mukhopadhyay

          13.8k2047




          13.8k2047












          • $begingroup$
            Two questions 1.Where is the fact that $A$ is diagonalizable used?2.how is rank of A=no. of non-zero eigen values
            $endgroup$
            – Learnmore
            Oct 6 '15 at 10:13










          • $begingroup$
            @learnmore A is similar to diagonal matrix D that its diagonal elements are A's eigenvalues, so tr(A)=tr(D) which is multiplication of diagonal elements = multiplication of eigenvalues. Also rank(A)=rank(D) = no. of non-zero eigenvalues.
            $endgroup$
            – Stabilo
            Oct 6 '15 at 10:40












          • $begingroup$
            $tr(D)$ =sum of diagonal elements ;anyway got your point
            $endgroup$
            – Learnmore
            Oct 6 '15 at 10:44




















          • $begingroup$
            Two questions 1.Where is the fact that $A$ is diagonalizable used?2.how is rank of A=no. of non-zero eigen values
            $endgroup$
            – Learnmore
            Oct 6 '15 at 10:13










          • $begingroup$
            @learnmore A is similar to diagonal matrix D that its diagonal elements are A's eigenvalues, so tr(A)=tr(D) which is multiplication of diagonal elements = multiplication of eigenvalues. Also rank(A)=rank(D) = no. of non-zero eigenvalues.
            $endgroup$
            – Stabilo
            Oct 6 '15 at 10:40












          • $begingroup$
            $tr(D)$ =sum of diagonal elements ;anyway got your point
            $endgroup$
            – Learnmore
            Oct 6 '15 at 10:44


















          $begingroup$
          Two questions 1.Where is the fact that $A$ is diagonalizable used?2.how is rank of A=no. of non-zero eigen values
          $endgroup$
          – Learnmore
          Oct 6 '15 at 10:13




          $begingroup$
          Two questions 1.Where is the fact that $A$ is diagonalizable used?2.how is rank of A=no. of non-zero eigen values
          $endgroup$
          – Learnmore
          Oct 6 '15 at 10:13












          $begingroup$
          @learnmore A is similar to diagonal matrix D that its diagonal elements are A's eigenvalues, so tr(A)=tr(D) which is multiplication of diagonal elements = multiplication of eigenvalues. Also rank(A)=rank(D) = no. of non-zero eigenvalues.
          $endgroup$
          – Stabilo
          Oct 6 '15 at 10:40






          $begingroup$
          @learnmore A is similar to diagonal matrix D that its diagonal elements are A's eigenvalues, so tr(A)=tr(D) which is multiplication of diagonal elements = multiplication of eigenvalues. Also rank(A)=rank(D) = no. of non-zero eigenvalues.
          $endgroup$
          – Stabilo
          Oct 6 '15 at 10:40














          $begingroup$
          $tr(D)$ =sum of diagonal elements ;anyway got your point
          $endgroup$
          – Learnmore
          Oct 6 '15 at 10:44






          $begingroup$
          $tr(D)$ =sum of diagonal elements ;anyway got your point
          $endgroup$
          – Learnmore
          Oct 6 '15 at 10:44




















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