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 $Ain operatornameMat_n times n$?
$begingroup$
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.)
linear-algebra matrices inverse matrix-rank
$endgroup$
add a comment |
$begingroup$
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.)
linear-algebra matrices inverse matrix-rank
$endgroup$
add a comment |
$begingroup$
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.)
linear-algebra matrices inverse matrix-rank
$endgroup$
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
linear-algebra matrices inverse matrix-rank
edited Mar 14 at 5:14
Rócherz
2,9863821
2,9863821
asked Aug 28 '16 at 15:23
BlaiseBlaise
384
384
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
$begingroup$
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 $BA neq 0$.
$endgroup$
$begingroup$
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
add a comment |
$begingroup$
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.
$endgroup$
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
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 $BA neq 0$.
$endgroup$
$begingroup$
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
add a comment |
$begingroup$
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 $BA neq 0$.
$endgroup$
$begingroup$
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
add a comment |
$begingroup$
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 $BA neq 0$.
$endgroup$
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 $BA neq 0$.
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
add a comment |
$begingroup$
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
add a comment |
$begingroup$
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.
$endgroup$
add a comment |
$begingroup$
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.
$endgroup$
add a comment |
$begingroup$
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.
$endgroup$
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.
answered Aug 28 '16 at 16:38
BlaiseBlaise
384
384
add a comment |
add a comment |
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