If $operatornamerank (AB) = operatornamerank (BA)$ for any $B$, then is $A$ invertible?How to prove and interpret $operatornamerank(AB) leq operatornamemin(operatornamerank(A), operatornamerank(B))$?Show that $operatornamerank(A+B) leq operatornamerank(A) + operatornamerank(B)$Show that $operatornamerank(A) = operatornamerank(B)$$rm rank(BA)=rm rank(B)$ if $A in mathbbR^n times n$ is invertible?Prove $operatornamerank (BA) = operatornamerank (A) = operatornamerank (AC)$, for $B$ and $C$ invertible matricesFor nonzeros $A,B,Cin M_n(mathbbR)$, $ABC=0$. Show $operatornamerank(A)+operatornamerank(B)+operatornamerank(C)le 2n$Counterexample of Converse of “$operatornamerank (PA) = operatornamerank (A)$ if $P$ is invertible”Proof for if $A$ is invertible then $AB$ is invertibleShow that $operatornamerank(A)=operatornamerank(B)$Does $operatornamerank (A^2) = operatornamerank (A)$ for any matrix $Ain operatornameMat_n times n$?

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If $operatornamerank (AB) = operatornamerank (BA)$ for any $B$, then is $A$ invertible?


How to prove and interpret $operatornamerank(AB) leq operatornamemin(operatornamerank(A), operatornamerank(B))$?Show that $operatornamerank(A+B) leq operatornamerank(A) + operatornamerank(B)$Show that $operatornamerank(A) = operatornamerank(B)$$rm rank(BA)=rm rank(B)$ if $A in mathbbR^n times n$ is invertible?Prove $operatornamerank (BA) = operatornamerank (A) = operatornamerank (AC)$, for $B$ and $C$ invertible matricesFor nonzeros $A,B,Cin M_n(mathbbR)$, $ABC=0$. Show $operatornamerank(A)+operatornamerank(B)+operatornamerank(C)le 2n$Counterexample of Converse of “$operatornamerank (PA) = operatornamerank (A)$ if $P$ is invertible”Proof for if $A$ is invertible then $AB$ is invertibleShow that $operatornamerank(A)=operatornamerank(B)$Does $operatornamerank (A^2) = operatornamerank (A)$ for any matrix $Ain operatornameMat_n times n$?













5












$begingroup$


Let $A$ and $B$ be two (nonzero) real square matrices and suppose that $operatornamerank (AB) = operatornamerank (BA)$ for any $B$. Can one prove that $A$ is invertible? (The converse is true and a simple linear algebra question but I'm stuck on this one.)










share|cite|improve this question











$endgroup$
















    5












    $begingroup$


    Let $A$ and $B$ be two (nonzero) real square matrices and suppose that $operatornamerank (AB) = operatornamerank (BA)$ for any $B$. Can one prove that $A$ is invertible? (The converse is true and a simple linear algebra question but I'm stuck on this one.)










    share|cite|improve this question











    $endgroup$














      5












      5








      5


      0



      $begingroup$


      Let $A$ and $B$ be two (nonzero) real square matrices and suppose that $operatornamerank (AB) = operatornamerank (BA)$ for any $B$. Can one prove that $A$ is invertible? (The converse is true and a simple linear algebra question but I'm stuck on this one.)










      share|cite|improve this question











      $endgroup$




      Let $A$ and $B$ be two (nonzero) real square matrices and suppose that $operatornamerank (AB) = operatornamerank (BA)$ for any $B$. Can one prove that $A$ is invertible? (The converse is true and a simple linear algebra question but I'm stuck on this one.)







      linear-algebra matrices inverse matrix-rank






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Mar 14 at 5:14









      Rócherz

      2,9863821




      2,9863821










      asked Aug 28 '16 at 15:23









      BlaiseBlaise

      384




      384




















          2 Answers
          2






          active

          oldest

          votes


















          8












          $begingroup$

          If $A$ is not invertible, there is a nonzero vector $u$ in the null space of $A$. Also, since you assume $A neq 0$, there is a nonzero vector $v$ in the column space of $A$. Use these observations to construct a rank one matrix $B$ such that $AB = 0$ and $BA neq 0$.






          share|cite|improve this answer









          $endgroup$












          • $begingroup$
            Technically we should consider the row space of $A$ (the column space of $A^T$)
            $endgroup$
            – Omnomnomnom
            Aug 28 '16 at 15:43










          • $begingroup$
            @Omnomnomnom: I don't think it's obligatory to talk about the row space of $A$, I was just thinking of taking $B = u v^t$ where $u in mathrmnull(A)$ and $v in mathrmcol(A)$ are nonzero, but I agree one could also argue slightly differently using the row space of $A$.
            $endgroup$
            – Mike F
            Aug 28 '16 at 17:25











          • $begingroup$
            It is not generally true that $v^TAneq 0$ (Or, for that matter, that $Av=0$) when $v$ is in col(A).
            $endgroup$
            – Omnomnomnom
            Aug 29 '16 at 2:47











          • $begingroup$
            That should be true! If $v in mathrmcol(A)$ is nonzero, then take some $w$ with $Aw=v$. Note that $v^T A w = v^T v = |v|^2 neq 0$, so $v^TA neq 0$ too.
            $endgroup$
            – Mike F
            Aug 29 '16 at 3:05











          • $begingroup$
            ah, so you're right. I didn't know, and I had a different solution in mind, but that all works.
            $endgroup$
            – Omnomnomnom
            Aug 29 '16 at 3:37


















          1












          $begingroup$

          Let's construct the $B$ matrix along the lines given by Mike F. In the image of $A$ we have a nonzero vector $v$ which has a nonzero antecedent $w$ so that $v=A w$.
          In components we define $B_ij=u_i w_j$. This matrix is nonzero. Left multiplication by $A$ gives 0 because $u$ is in the kernel of $A$. If we do the right-multiplication by $A$ we find a matrix which is $u_i v_j$ which is nonzero.
          Strictly speaking there is a transposition when dealing with the right stuff.
          Great ! thanks.






          share|cite|improve this answer









          $endgroup$












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            2 Answers
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            2 Answers
            2






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            active

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            active

            oldest

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            8












            $begingroup$

            If $A$ is not invertible, there is a nonzero vector $u$ in the null space of $A$. Also, since you assume $A neq 0$, there is a nonzero vector $v$ in the column space of $A$. Use these observations to construct a rank one matrix $B$ such that $AB = 0$ and $BA neq 0$.






            share|cite|improve this answer









            $endgroup$












            • $begingroup$
              Technically we should consider the row space of $A$ (the column space of $A^T$)
              $endgroup$
              – Omnomnomnom
              Aug 28 '16 at 15:43










            • $begingroup$
              @Omnomnomnom: I don't think it's obligatory to talk about the row space of $A$, I was just thinking of taking $B = u v^t$ where $u in mathrmnull(A)$ and $v in mathrmcol(A)$ are nonzero, but I agree one could also argue slightly differently using the row space of $A$.
              $endgroup$
              – Mike F
              Aug 28 '16 at 17:25











            • $begingroup$
              It is not generally true that $v^TAneq 0$ (Or, for that matter, that $Av=0$) when $v$ is in col(A).
              $endgroup$
              – Omnomnomnom
              Aug 29 '16 at 2:47











            • $begingroup$
              That should be true! If $v in mathrmcol(A)$ is nonzero, then take some $w$ with $Aw=v$. Note that $v^T A w = v^T v = |v|^2 neq 0$, so $v^TA neq 0$ too.
              $endgroup$
              – Mike F
              Aug 29 '16 at 3:05











            • $begingroup$
              ah, so you're right. I didn't know, and I had a different solution in mind, but that all works.
              $endgroup$
              – Omnomnomnom
              Aug 29 '16 at 3:37















            8












            $begingroup$

            If $A$ is not invertible, there is a nonzero vector $u$ in the null space of $A$. Also, since you assume $A neq 0$, there is a nonzero vector $v$ in the column space of $A$. Use these observations to construct a rank one matrix $B$ such that $AB = 0$ and $BA neq 0$.






            share|cite|improve this answer









            $endgroup$












            • $begingroup$
              Technically we should consider the row space of $A$ (the column space of $A^T$)
              $endgroup$
              – Omnomnomnom
              Aug 28 '16 at 15:43










            • $begingroup$
              @Omnomnomnom: I don't think it's obligatory to talk about the row space of $A$, I was just thinking of taking $B = u v^t$ where $u in mathrmnull(A)$ and $v in mathrmcol(A)$ are nonzero, but I agree one could also argue slightly differently using the row space of $A$.
              $endgroup$
              – Mike F
              Aug 28 '16 at 17:25











            • $begingroup$
              It is not generally true that $v^TAneq 0$ (Or, for that matter, that $Av=0$) when $v$ is in col(A).
              $endgroup$
              – Omnomnomnom
              Aug 29 '16 at 2:47











            • $begingroup$
              That should be true! If $v in mathrmcol(A)$ is nonzero, then take some $w$ with $Aw=v$. Note that $v^T A w = v^T v = |v|^2 neq 0$, so $v^TA neq 0$ too.
              $endgroup$
              – Mike F
              Aug 29 '16 at 3:05











            • $begingroup$
              ah, so you're right. I didn't know, and I had a different solution in mind, but that all works.
              $endgroup$
              – Omnomnomnom
              Aug 29 '16 at 3:37













            8












            8








            8





            $begingroup$

            If $A$ is not invertible, there is a nonzero vector $u$ in the null space of $A$. Also, since you assume $A neq 0$, there is a nonzero vector $v$ in the column space of $A$. Use these observations to construct a rank one matrix $B$ such that $AB = 0$ and $BA neq 0$.






            share|cite|improve this answer









            $endgroup$



            If $A$ is not invertible, there is a nonzero vector $u$ in the null space of $A$. Also, since you assume $A neq 0$, there is a nonzero vector $v$ in the column space of $A$. Use these observations to construct a rank one matrix $B$ such that $AB = 0$ and $BA neq 0$.







            share|cite|improve this answer












            share|cite|improve this answer



            share|cite|improve this answer










            answered Aug 28 '16 at 15:30









            Mike FMike F

            12.5k23583




            12.5k23583











            • $begingroup$
              Technically we should consider the row space of $A$ (the column space of $A^T$)
              $endgroup$
              – Omnomnomnom
              Aug 28 '16 at 15:43










            • $begingroup$
              @Omnomnomnom: I don't think it's obligatory to talk about the row space of $A$, I was just thinking of taking $B = u v^t$ where $u in mathrmnull(A)$ and $v in mathrmcol(A)$ are nonzero, but I agree one could also argue slightly differently using the row space of $A$.
              $endgroup$
              – Mike F
              Aug 28 '16 at 17:25











            • $begingroup$
              It is not generally true that $v^TAneq 0$ (Or, for that matter, that $Av=0$) when $v$ is in col(A).
              $endgroup$
              – Omnomnomnom
              Aug 29 '16 at 2:47











            • $begingroup$
              That should be true! If $v in mathrmcol(A)$ is nonzero, then take some $w$ with $Aw=v$. Note that $v^T A w = v^T v = |v|^2 neq 0$, so $v^TA neq 0$ too.
              $endgroup$
              – Mike F
              Aug 29 '16 at 3:05











            • $begingroup$
              ah, so you're right. I didn't know, and I had a different solution in mind, but that all works.
              $endgroup$
              – Omnomnomnom
              Aug 29 '16 at 3:37
















            • $begingroup$
              Technically we should consider the row space of $A$ (the column space of $A^T$)
              $endgroup$
              – Omnomnomnom
              Aug 28 '16 at 15:43










            • $begingroup$
              @Omnomnomnom: I don't think it's obligatory to talk about the row space of $A$, I was just thinking of taking $B = u v^t$ where $u in mathrmnull(A)$ and $v in mathrmcol(A)$ are nonzero, but I agree one could also argue slightly differently using the row space of $A$.
              $endgroup$
              – Mike F
              Aug 28 '16 at 17:25











            • $begingroup$
              It is not generally true that $v^TAneq 0$ (Or, for that matter, that $Av=0$) when $v$ is in col(A).
              $endgroup$
              – Omnomnomnom
              Aug 29 '16 at 2:47











            • $begingroup$
              That should be true! If $v in mathrmcol(A)$ is nonzero, then take some $w$ with $Aw=v$. Note that $v^T A w = v^T v = |v|^2 neq 0$, so $v^TA neq 0$ too.
              $endgroup$
              – Mike F
              Aug 29 '16 at 3:05











            • $begingroup$
              ah, so you're right. I didn't know, and I had a different solution in mind, but that all works.
              $endgroup$
              – Omnomnomnom
              Aug 29 '16 at 3:37















            $begingroup$
            Technically we should consider the row space of $A$ (the column space of $A^T$)
            $endgroup$
            – Omnomnomnom
            Aug 28 '16 at 15:43




            $begingroup$
            Technically we should consider the row space of $A$ (the column space of $A^T$)
            $endgroup$
            – Omnomnomnom
            Aug 28 '16 at 15:43












            $begingroup$
            @Omnomnomnom: I don't think it's obligatory to talk about the row space of $A$, I was just thinking of taking $B = u v^t$ where $u in mathrmnull(A)$ and $v in mathrmcol(A)$ are nonzero, but I agree one could also argue slightly differently using the row space of $A$.
            $endgroup$
            – Mike F
            Aug 28 '16 at 17:25





            $begingroup$
            @Omnomnomnom: I don't think it's obligatory to talk about the row space of $A$, I was just thinking of taking $B = u v^t$ where $u in mathrmnull(A)$ and $v in mathrmcol(A)$ are nonzero, but I agree one could also argue slightly differently using the row space of $A$.
            $endgroup$
            – Mike F
            Aug 28 '16 at 17:25













            $begingroup$
            It is not generally true that $v^TAneq 0$ (Or, for that matter, that $Av=0$) when $v$ is in col(A).
            $endgroup$
            – Omnomnomnom
            Aug 29 '16 at 2:47





            $begingroup$
            It is not generally true that $v^TAneq 0$ (Or, for that matter, that $Av=0$) when $v$ is in col(A).
            $endgroup$
            – Omnomnomnom
            Aug 29 '16 at 2:47













            $begingroup$
            That should be true! If $v in mathrmcol(A)$ is nonzero, then take some $w$ with $Aw=v$. Note that $v^T A w = v^T v = |v|^2 neq 0$, so $v^TA neq 0$ too.
            $endgroup$
            – Mike F
            Aug 29 '16 at 3:05





            $begingroup$
            That should be true! If $v in mathrmcol(A)$ is nonzero, then take some $w$ with $Aw=v$. Note that $v^T A w = v^T v = |v|^2 neq 0$, so $v^TA neq 0$ too.
            $endgroup$
            – Mike F
            Aug 29 '16 at 3:05













            $begingroup$
            ah, so you're right. I didn't know, and I had a different solution in mind, but that all works.
            $endgroup$
            – Omnomnomnom
            Aug 29 '16 at 3:37




            $begingroup$
            ah, so you're right. I didn't know, and I had a different solution in mind, but that all works.
            $endgroup$
            – Omnomnomnom
            Aug 29 '16 at 3:37











            1












            $begingroup$

            Let's construct the $B$ matrix along the lines given by Mike F. In the image of $A$ we have a nonzero vector $v$ which has a nonzero antecedent $w$ so that $v=A w$.
            In components we define $B_ij=u_i w_j$. This matrix is nonzero. Left multiplication by $A$ gives 0 because $u$ is in the kernel of $A$. If we do the right-multiplication by $A$ we find a matrix which is $u_i v_j$ which is nonzero.
            Strictly speaking there is a transposition when dealing with the right stuff.
            Great ! thanks.






            share|cite|improve this answer









            $endgroup$

















              1












              $begingroup$

              Let's construct the $B$ matrix along the lines given by Mike F. In the image of $A$ we have a nonzero vector $v$ which has a nonzero antecedent $w$ so that $v=A w$.
              In components we define $B_ij=u_i w_j$. This matrix is nonzero. Left multiplication by $A$ gives 0 because $u$ is in the kernel of $A$. If we do the right-multiplication by $A$ we find a matrix which is $u_i v_j$ which is nonzero.
              Strictly speaking there is a transposition when dealing with the right stuff.
              Great ! thanks.






              share|cite|improve this answer









              $endgroup$















                1












                1








                1





                $begingroup$

                Let's construct the $B$ matrix along the lines given by Mike F. In the image of $A$ we have a nonzero vector $v$ which has a nonzero antecedent $w$ so that $v=A w$.
                In components we define $B_ij=u_i w_j$. This matrix is nonzero. Left multiplication by $A$ gives 0 because $u$ is in the kernel of $A$. If we do the right-multiplication by $A$ we find a matrix which is $u_i v_j$ which is nonzero.
                Strictly speaking there is a transposition when dealing with the right stuff.
                Great ! thanks.






                share|cite|improve this answer









                $endgroup$



                Let's construct the $B$ matrix along the lines given by Mike F. In the image of $A$ we have a nonzero vector $v$ which has a nonzero antecedent $w$ so that $v=A w$.
                In components we define $B_ij=u_i w_j$. This matrix is nonzero. Left multiplication by $A$ gives 0 because $u$ is in the kernel of $A$. If we do the right-multiplication by $A$ we find a matrix which is $u_i v_j$ which is nonzero.
                Strictly speaking there is a transposition when dealing with the right stuff.
                Great ! thanks.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Aug 28 '16 at 16:38









                BlaiseBlaise

                384




                384



























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