$T:M(n, mathbb R)to M(n, mathbb R)$, $Ain mathbb R^ntimes n$ with $| A| ne 0$, such that $T(X)=AX$. Find tr$(T)$. [closed]

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I really cant understand what could be tr(T) actually. Also how to show T is non singular with rank n^2, please need a help with elaboration. Actually I found from somewhere that tr(T)= n*tr(A) regarding this l. t I have mentioned, but how? w. r. t std basis of M(n, R), m(T) gives a diagonal n^2*n^2 diagonal which does not satisfy that trace property. I'm wrong somewhere, please help to find that










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closed as unclear what you're asking by Lord Shark the Unknown, Jyrki Lahtonen, Theoretical Economist, Shailesh, user99914 Sep 9 at 1:26


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.










  • 3




    First, can you please put the question in the question, not just the title. Second, this is not legible as it is; please use MathJax: math.meta.stackexchange.com/questions/5020
    – Lord Shark the Unknown
    Sep 8 at 7:33











  • cant understand sir where am I wrong? this is question answer site na? I can not even ask my querry?
    – Priya Dey
    Sep 8 at 7:53






  • 3




    If you want an answer then please ask the question, in a readable way. For a start, you could format in MathJax: please see math.meta.stackexchange.com/questions/5020
    – Lord Shark the Unknown
    Sep 8 at 8:04











  • thnx, next time I'll do that & for now if you have understood it please help
    – Priya Dey
    Sep 8 at 8:07










  • I highly recommend that you study the guide for new askers. Otherwise the negative attention your questions attract will continue.
    – Jyrki Lahtonen
    Sep 8 at 14:18














up vote
0
down vote

favorite












I really cant understand what could be tr(T) actually. Also how to show T is non singular with rank n^2, please need a help with elaboration. Actually I found from somewhere that tr(T)= n*tr(A) regarding this l. t I have mentioned, but how? w. r. t std basis of M(n, R), m(T) gives a diagonal n^2*n^2 diagonal which does not satisfy that trace property. I'm wrong somewhere, please help to find that










share|cite|improve this question















closed as unclear what you're asking by Lord Shark the Unknown, Jyrki Lahtonen, Theoretical Economist, Shailesh, user99914 Sep 9 at 1:26


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.










  • 3




    First, can you please put the question in the question, not just the title. Second, this is not legible as it is; please use MathJax: math.meta.stackexchange.com/questions/5020
    – Lord Shark the Unknown
    Sep 8 at 7:33











  • cant understand sir where am I wrong? this is question answer site na? I can not even ask my querry?
    – Priya Dey
    Sep 8 at 7:53






  • 3




    If you want an answer then please ask the question, in a readable way. For a start, you could format in MathJax: please see math.meta.stackexchange.com/questions/5020
    – Lord Shark the Unknown
    Sep 8 at 8:04











  • thnx, next time I'll do that & for now if you have understood it please help
    – Priya Dey
    Sep 8 at 8:07










  • I highly recommend that you study the guide for new askers. Otherwise the negative attention your questions attract will continue.
    – Jyrki Lahtonen
    Sep 8 at 14:18












up vote
0
down vote

favorite









up vote
0
down vote

favorite











I really cant understand what could be tr(T) actually. Also how to show T is non singular with rank n^2, please need a help with elaboration. Actually I found from somewhere that tr(T)= n*tr(A) regarding this l. t I have mentioned, but how? w. r. t std basis of M(n, R), m(T) gives a diagonal n^2*n^2 diagonal which does not satisfy that trace property. I'm wrong somewhere, please help to find that










share|cite|improve this question















I really cant understand what could be tr(T) actually. Also how to show T is non singular with rank n^2, please need a help with elaboration. Actually I found from somewhere that tr(T)= n*tr(A) regarding this l. t I have mentioned, but how? w. r. t std basis of M(n, R), m(T) gives a diagonal n^2*n^2 diagonal which does not satisfy that trace property. I'm wrong somewhere, please help to find that







linear-algebra






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edited Sep 8 at 8:39









Yiorgos S. Smyrlis

60.4k1383161




60.4k1383161










asked Sep 8 at 7:31









Priya Dey

453




453




closed as unclear what you're asking by Lord Shark the Unknown, Jyrki Lahtonen, Theoretical Economist, Shailesh, user99914 Sep 9 at 1:26


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.






closed as unclear what you're asking by Lord Shark the Unknown, Jyrki Lahtonen, Theoretical Economist, Shailesh, user99914 Sep 9 at 1:26


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.









  • 3




    First, can you please put the question in the question, not just the title. Second, this is not legible as it is; please use MathJax: math.meta.stackexchange.com/questions/5020
    – Lord Shark the Unknown
    Sep 8 at 7:33











  • cant understand sir where am I wrong? this is question answer site na? I can not even ask my querry?
    – Priya Dey
    Sep 8 at 7:53






  • 3




    If you want an answer then please ask the question, in a readable way. For a start, you could format in MathJax: please see math.meta.stackexchange.com/questions/5020
    – Lord Shark the Unknown
    Sep 8 at 8:04











  • thnx, next time I'll do that & for now if you have understood it please help
    – Priya Dey
    Sep 8 at 8:07










  • I highly recommend that you study the guide for new askers. Otherwise the negative attention your questions attract will continue.
    – Jyrki Lahtonen
    Sep 8 at 14:18












  • 3




    First, can you please put the question in the question, not just the title. Second, this is not legible as it is; please use MathJax: math.meta.stackexchange.com/questions/5020
    – Lord Shark the Unknown
    Sep 8 at 7:33











  • cant understand sir where am I wrong? this is question answer site na? I can not even ask my querry?
    – Priya Dey
    Sep 8 at 7:53






  • 3




    If you want an answer then please ask the question, in a readable way. For a start, you could format in MathJax: please see math.meta.stackexchange.com/questions/5020
    – Lord Shark the Unknown
    Sep 8 at 8:04











  • thnx, next time I'll do that & for now if you have understood it please help
    – Priya Dey
    Sep 8 at 8:07










  • I highly recommend that you study the guide for new askers. Otherwise the negative attention your questions attract will continue.
    – Jyrki Lahtonen
    Sep 8 at 14:18







3




3




First, can you please put the question in the question, not just the title. Second, this is not legible as it is; please use MathJax: math.meta.stackexchange.com/questions/5020
– Lord Shark the Unknown
Sep 8 at 7:33





First, can you please put the question in the question, not just the title. Second, this is not legible as it is; please use MathJax: math.meta.stackexchange.com/questions/5020
– Lord Shark the Unknown
Sep 8 at 7:33













cant understand sir where am I wrong? this is question answer site na? I can not even ask my querry?
– Priya Dey
Sep 8 at 7:53




cant understand sir where am I wrong? this is question answer site na? I can not even ask my querry?
– Priya Dey
Sep 8 at 7:53




3




3




If you want an answer then please ask the question, in a readable way. For a start, you could format in MathJax: please see math.meta.stackexchange.com/questions/5020
– Lord Shark the Unknown
Sep 8 at 8:04





If you want an answer then please ask the question, in a readable way. For a start, you could format in MathJax: please see math.meta.stackexchange.com/questions/5020
– Lord Shark the Unknown
Sep 8 at 8:04













thnx, next time I'll do that & for now if you have understood it please help
– Priya Dey
Sep 8 at 8:07




thnx, next time I'll do that & for now if you have understood it please help
– Priya Dey
Sep 8 at 8:07












I highly recommend that you study the guide for new askers. Otherwise the negative attention your questions attract will continue.
– Jyrki Lahtonen
Sep 8 at 14:18




I highly recommend that you study the guide for new askers. Otherwise the negative attention your questions attract will continue.
– Jyrki Lahtonen
Sep 8 at 14:18










2 Answers
2






active

oldest

votes

















up vote
1
down vote













If $X$ is a finite dimensional linear space, with basis $x_1,ldots,x_m$, and $T:Xto X$ a linear transformation, defined as
$$
Tx_i=sum_i=1^m t_i,jx_j,
$$
then its trace is defined to be Tr$(T)=sum_i=1^n t_ii$.



In the question, consider as a basis, $E_ij$, $i,j=1,ldots,n$, the matrix with $1$ in the $(i,j)$ place, and zeroes everywhere else.



Then
$$
T(E_i,j)=sum_k=1^n a_k,iE_k,j
$$
and hence
$$
textTr(T)=n(a_1,1+cdots+a_n,n)=ntextTr(A).
$$



Also note that if $X=(x_1,x_2cdots x_n)inmathbb R^ntimes n$, where $x_1,ldots, x_n$ re the columns of $X$, then $T(X)=(Ax_1,Ax_2cdots Ax_n)$. So if $T(X)=0$, then $Ax_1=cdots=Ax_n=0$, and since $A$ is nonsingular, so is $T$.



In fact, $p_T(lambda)=big(p_A(lambda)big)^n$, where $p_A$ and $p_T$ are the characteristic polynomials of $A$ and $T$, respectively.






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  • sorry cant understand what you have taken the transformation sir, please explain, & also the last line
    – Priya Dey
    Sep 8 at 8:21










  • specially the last line
    – Priya Dey
    Sep 8 at 8:31










  • @PriyaDey a finite dimensional linear transformation is injective if and only if it is surjective.
    – Vim
    Sep 8 at 9:10










  • please understand my question, I want to know about how tr(T) = n* tr(A) here? please help in that case
    – Priya Dey
    Sep 8 at 9:15

















up vote
0
down vote













Hint:



Let $E_ij : 1 le i, jle n$ be the canonical basis of the space $M_n(mathbbR)$. The trace $operatornameTr T$ is the sum of diagonal elements of the matrix of $T$ w.r.t. this basis.



If we denote the columns of $A = (a_ij)$ by $A = beginbmatrix A_1 & A_2 & cdots & A_nendbmatrix$, verify that
$$T(E_ij) = AE_ij = beginbmatrix 0 & cdots & 0 & A_i & 0 & cdots & 0 endbmatrix = sum_k=1^n a_kiE_kj$$
where the $i$-th column of $A$ appears as the $j$-th column here.



Therefore the diagonal elements of the matrix of $T$ are $$underbracea_11, ldots, a_11_n, underbracea_22, ldots, a_22_n, ldots, underbracea_nn, ldots, a_nn_n$$ so $$operatornameTr T = nsum_i=1^n a_ii =n operatornameTr A$$






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  • how all columns become 0? you are saying tr(T)= tr(A) here also? but how?
    – Priya Dey
    Sep 8 at 8:25










  • @PriyaDey Edit your question with details of what you tried, and I'll explain some more.
    – mechanodroid
    Sep 8 at 8:32










  • how the last line please explain
    – Priya Dey
    Sep 8 at 8:38

















2 Answers
2






active

oldest

votes








2 Answers
2






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
1
down vote













If $X$ is a finite dimensional linear space, with basis $x_1,ldots,x_m$, and $T:Xto X$ a linear transformation, defined as
$$
Tx_i=sum_i=1^m t_i,jx_j,
$$
then its trace is defined to be Tr$(T)=sum_i=1^n t_ii$.



In the question, consider as a basis, $E_ij$, $i,j=1,ldots,n$, the matrix with $1$ in the $(i,j)$ place, and zeroes everywhere else.



Then
$$
T(E_i,j)=sum_k=1^n a_k,iE_k,j
$$
and hence
$$
textTr(T)=n(a_1,1+cdots+a_n,n)=ntextTr(A).
$$



Also note that if $X=(x_1,x_2cdots x_n)inmathbb R^ntimes n$, where $x_1,ldots, x_n$ re the columns of $X$, then $T(X)=(Ax_1,Ax_2cdots Ax_n)$. So if $T(X)=0$, then $Ax_1=cdots=Ax_n=0$, and since $A$ is nonsingular, so is $T$.



In fact, $p_T(lambda)=big(p_A(lambda)big)^n$, where $p_A$ and $p_T$ are the characteristic polynomials of $A$ and $T$, respectively.






share|cite|improve this answer






















  • sorry cant understand what you have taken the transformation sir, please explain, & also the last line
    – Priya Dey
    Sep 8 at 8:21










  • specially the last line
    – Priya Dey
    Sep 8 at 8:31










  • @PriyaDey a finite dimensional linear transformation is injective if and only if it is surjective.
    – Vim
    Sep 8 at 9:10










  • please understand my question, I want to know about how tr(T) = n* tr(A) here? please help in that case
    – Priya Dey
    Sep 8 at 9:15














up vote
1
down vote













If $X$ is a finite dimensional linear space, with basis $x_1,ldots,x_m$, and $T:Xto X$ a linear transformation, defined as
$$
Tx_i=sum_i=1^m t_i,jx_j,
$$
then its trace is defined to be Tr$(T)=sum_i=1^n t_ii$.



In the question, consider as a basis, $E_ij$, $i,j=1,ldots,n$, the matrix with $1$ in the $(i,j)$ place, and zeroes everywhere else.



Then
$$
T(E_i,j)=sum_k=1^n a_k,iE_k,j
$$
and hence
$$
textTr(T)=n(a_1,1+cdots+a_n,n)=ntextTr(A).
$$



Also note that if $X=(x_1,x_2cdots x_n)inmathbb R^ntimes n$, where $x_1,ldots, x_n$ re the columns of $X$, then $T(X)=(Ax_1,Ax_2cdots Ax_n)$. So if $T(X)=0$, then $Ax_1=cdots=Ax_n=0$, and since $A$ is nonsingular, so is $T$.



In fact, $p_T(lambda)=big(p_A(lambda)big)^n$, where $p_A$ and $p_T$ are the characteristic polynomials of $A$ and $T$, respectively.






share|cite|improve this answer






















  • sorry cant understand what you have taken the transformation sir, please explain, & also the last line
    – Priya Dey
    Sep 8 at 8:21










  • specially the last line
    – Priya Dey
    Sep 8 at 8:31










  • @PriyaDey a finite dimensional linear transformation is injective if and only if it is surjective.
    – Vim
    Sep 8 at 9:10










  • please understand my question, I want to know about how tr(T) = n* tr(A) here? please help in that case
    – Priya Dey
    Sep 8 at 9:15












up vote
1
down vote










up vote
1
down vote









If $X$ is a finite dimensional linear space, with basis $x_1,ldots,x_m$, and $T:Xto X$ a linear transformation, defined as
$$
Tx_i=sum_i=1^m t_i,jx_j,
$$
then its trace is defined to be Tr$(T)=sum_i=1^n t_ii$.



In the question, consider as a basis, $E_ij$, $i,j=1,ldots,n$, the matrix with $1$ in the $(i,j)$ place, and zeroes everywhere else.



Then
$$
T(E_i,j)=sum_k=1^n a_k,iE_k,j
$$
and hence
$$
textTr(T)=n(a_1,1+cdots+a_n,n)=ntextTr(A).
$$



Also note that if $X=(x_1,x_2cdots x_n)inmathbb R^ntimes n$, where $x_1,ldots, x_n$ re the columns of $X$, then $T(X)=(Ax_1,Ax_2cdots Ax_n)$. So if $T(X)=0$, then $Ax_1=cdots=Ax_n=0$, and since $A$ is nonsingular, so is $T$.



In fact, $p_T(lambda)=big(p_A(lambda)big)^n$, where $p_A$ and $p_T$ are the characteristic polynomials of $A$ and $T$, respectively.






share|cite|improve this answer














If $X$ is a finite dimensional linear space, with basis $x_1,ldots,x_m$, and $T:Xto X$ a linear transformation, defined as
$$
Tx_i=sum_i=1^m t_i,jx_j,
$$
then its trace is defined to be Tr$(T)=sum_i=1^n t_ii$.



In the question, consider as a basis, $E_ij$, $i,j=1,ldots,n$, the matrix with $1$ in the $(i,j)$ place, and zeroes everywhere else.



Then
$$
T(E_i,j)=sum_k=1^n a_k,iE_k,j
$$
and hence
$$
textTr(T)=n(a_1,1+cdots+a_n,n)=ntextTr(A).
$$



Also note that if $X=(x_1,x_2cdots x_n)inmathbb R^ntimes n$, where $x_1,ldots, x_n$ re the columns of $X$, then $T(X)=(Ax_1,Ax_2cdots Ax_n)$. So if $T(X)=0$, then $Ax_1=cdots=Ax_n=0$, and since $A$ is nonsingular, so is $T$.



In fact, $p_T(lambda)=big(p_A(lambda)big)^n$, where $p_A$ and $p_T$ are the characteristic polynomials of $A$ and $T$, respectively.







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Sep 8 at 14:45

























answered Sep 8 at 8:16









Yiorgos S. Smyrlis

60.4k1383161




60.4k1383161











  • sorry cant understand what you have taken the transformation sir, please explain, & also the last line
    – Priya Dey
    Sep 8 at 8:21










  • specially the last line
    – Priya Dey
    Sep 8 at 8:31










  • @PriyaDey a finite dimensional linear transformation is injective if and only if it is surjective.
    – Vim
    Sep 8 at 9:10










  • please understand my question, I want to know about how tr(T) = n* tr(A) here? please help in that case
    – Priya Dey
    Sep 8 at 9:15
















  • sorry cant understand what you have taken the transformation sir, please explain, & also the last line
    – Priya Dey
    Sep 8 at 8:21










  • specially the last line
    – Priya Dey
    Sep 8 at 8:31










  • @PriyaDey a finite dimensional linear transformation is injective if and only if it is surjective.
    – Vim
    Sep 8 at 9:10










  • please understand my question, I want to know about how tr(T) = n* tr(A) here? please help in that case
    – Priya Dey
    Sep 8 at 9:15















sorry cant understand what you have taken the transformation sir, please explain, & also the last line
– Priya Dey
Sep 8 at 8:21




sorry cant understand what you have taken the transformation sir, please explain, & also the last line
– Priya Dey
Sep 8 at 8:21












specially the last line
– Priya Dey
Sep 8 at 8:31




specially the last line
– Priya Dey
Sep 8 at 8:31












@PriyaDey a finite dimensional linear transformation is injective if and only if it is surjective.
– Vim
Sep 8 at 9:10




@PriyaDey a finite dimensional linear transformation is injective if and only if it is surjective.
– Vim
Sep 8 at 9:10












please understand my question, I want to know about how tr(T) = n* tr(A) here? please help in that case
– Priya Dey
Sep 8 at 9:15




please understand my question, I want to know about how tr(T) = n* tr(A) here? please help in that case
– Priya Dey
Sep 8 at 9:15










up vote
0
down vote













Hint:



Let $E_ij : 1 le i, jle n$ be the canonical basis of the space $M_n(mathbbR)$. The trace $operatornameTr T$ is the sum of diagonal elements of the matrix of $T$ w.r.t. this basis.



If we denote the columns of $A = (a_ij)$ by $A = beginbmatrix A_1 & A_2 & cdots & A_nendbmatrix$, verify that
$$T(E_ij) = AE_ij = beginbmatrix 0 & cdots & 0 & A_i & 0 & cdots & 0 endbmatrix = sum_k=1^n a_kiE_kj$$
where the $i$-th column of $A$ appears as the $j$-th column here.



Therefore the diagonal elements of the matrix of $T$ are $$underbracea_11, ldots, a_11_n, underbracea_22, ldots, a_22_n, ldots, underbracea_nn, ldots, a_nn_n$$ so $$operatornameTr T = nsum_i=1^n a_ii =n operatornameTr A$$






share|cite|improve this answer




















  • how all columns become 0? you are saying tr(T)= tr(A) here also? but how?
    – Priya Dey
    Sep 8 at 8:25










  • @PriyaDey Edit your question with details of what you tried, and I'll explain some more.
    – mechanodroid
    Sep 8 at 8:32










  • how the last line please explain
    – Priya Dey
    Sep 8 at 8:38














up vote
0
down vote













Hint:



Let $E_ij : 1 le i, jle n$ be the canonical basis of the space $M_n(mathbbR)$. The trace $operatornameTr T$ is the sum of diagonal elements of the matrix of $T$ w.r.t. this basis.



If we denote the columns of $A = (a_ij)$ by $A = beginbmatrix A_1 & A_2 & cdots & A_nendbmatrix$, verify that
$$T(E_ij) = AE_ij = beginbmatrix 0 & cdots & 0 & A_i & 0 & cdots & 0 endbmatrix = sum_k=1^n a_kiE_kj$$
where the $i$-th column of $A$ appears as the $j$-th column here.



Therefore the diagonal elements of the matrix of $T$ are $$underbracea_11, ldots, a_11_n, underbracea_22, ldots, a_22_n, ldots, underbracea_nn, ldots, a_nn_n$$ so $$operatornameTr T = nsum_i=1^n a_ii =n operatornameTr A$$






share|cite|improve this answer




















  • how all columns become 0? you are saying tr(T)= tr(A) here also? but how?
    – Priya Dey
    Sep 8 at 8:25










  • @PriyaDey Edit your question with details of what you tried, and I'll explain some more.
    – mechanodroid
    Sep 8 at 8:32










  • how the last line please explain
    – Priya Dey
    Sep 8 at 8:38












up vote
0
down vote










up vote
0
down vote









Hint:



Let $E_ij : 1 le i, jle n$ be the canonical basis of the space $M_n(mathbbR)$. The trace $operatornameTr T$ is the sum of diagonal elements of the matrix of $T$ w.r.t. this basis.



If we denote the columns of $A = (a_ij)$ by $A = beginbmatrix A_1 & A_2 & cdots & A_nendbmatrix$, verify that
$$T(E_ij) = AE_ij = beginbmatrix 0 & cdots & 0 & A_i & 0 & cdots & 0 endbmatrix = sum_k=1^n a_kiE_kj$$
where the $i$-th column of $A$ appears as the $j$-th column here.



Therefore the diagonal elements of the matrix of $T$ are $$underbracea_11, ldots, a_11_n, underbracea_22, ldots, a_22_n, ldots, underbracea_nn, ldots, a_nn_n$$ so $$operatornameTr T = nsum_i=1^n a_ii =n operatornameTr A$$






share|cite|improve this answer












Hint:



Let $E_ij : 1 le i, jle n$ be the canonical basis of the space $M_n(mathbbR)$. The trace $operatornameTr T$ is the sum of diagonal elements of the matrix of $T$ w.r.t. this basis.



If we denote the columns of $A = (a_ij)$ by $A = beginbmatrix A_1 & A_2 & cdots & A_nendbmatrix$, verify that
$$T(E_ij) = AE_ij = beginbmatrix 0 & cdots & 0 & A_i & 0 & cdots & 0 endbmatrix = sum_k=1^n a_kiE_kj$$
where the $i$-th column of $A$ appears as the $j$-th column here.



Therefore the diagonal elements of the matrix of $T$ are $$underbracea_11, ldots, a_11_n, underbracea_22, ldots, a_22_n, ldots, underbracea_nn, ldots, a_nn_n$$ so $$operatornameTr T = nsum_i=1^n a_ii =n operatornameTr A$$







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Sep 8 at 8:20









mechanodroid

24.6k62245




24.6k62245











  • how all columns become 0? you are saying tr(T)= tr(A) here also? but how?
    – Priya Dey
    Sep 8 at 8:25










  • @PriyaDey Edit your question with details of what you tried, and I'll explain some more.
    – mechanodroid
    Sep 8 at 8:32










  • how the last line please explain
    – Priya Dey
    Sep 8 at 8:38
















  • how all columns become 0? you are saying tr(T)= tr(A) here also? but how?
    – Priya Dey
    Sep 8 at 8:25










  • @PriyaDey Edit your question with details of what you tried, and I'll explain some more.
    – mechanodroid
    Sep 8 at 8:32










  • how the last line please explain
    – Priya Dey
    Sep 8 at 8:38















how all columns become 0? you are saying tr(T)= tr(A) here also? but how?
– Priya Dey
Sep 8 at 8:25




how all columns become 0? you are saying tr(T)= tr(A) here also? but how?
– Priya Dey
Sep 8 at 8:25












@PriyaDey Edit your question with details of what you tried, and I'll explain some more.
– mechanodroid
Sep 8 at 8:32




@PriyaDey Edit your question with details of what you tried, and I'll explain some more.
– mechanodroid
Sep 8 at 8:32












how the last line please explain
– Priya Dey
Sep 8 at 8:38




how the last line please explain
– Priya Dey
Sep 8 at 8:38


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