Show that the determinant of jordan normal form wtih spatial weight matrix by its eigenvalues

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I try to figure out the proof of determinant of matrix by eigen decomposition,
$$det(I_n-lambda W)=det(QQ^-1(I_n-lambda W))$$
$$=det(Q(I_n-lambda W)Q^-1)$$
$$=(1-lambda upsilon_1)(1-lambda upsilon_2)...(1-lambda upsilon_n)$$
where $lambda$ is spatial autoregressive coefficient, $W$ is normalized weight matrix, $upsilon$ is eigenvalues of $W$, $Q$ is the matrix that trinagularizes $W$.



1.i can't figure out how changes taking place of the $Q^-1$ matrix in front of $(I_n-lambda W)$ in the first equation to behind of $(I_n-lambda W)$ in the second equation? is there any proporties for that?



2.why do need $W$ is triangularized? can it be proof without triangularized?



I would really appreciate some help.







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  • Note that the determinant is multiplicative i.e. $det(Q(I_n-lambda W)Q^-1)=det(Q)det(I_n-lambda W)det(Q^-1)$ and the values of the determinant commute
    – Peter Melech
    Jul 25 at 14:14














up vote
0
down vote

favorite












I try to figure out the proof of determinant of matrix by eigen decomposition,
$$det(I_n-lambda W)=det(QQ^-1(I_n-lambda W))$$
$$=det(Q(I_n-lambda W)Q^-1)$$
$$=(1-lambda upsilon_1)(1-lambda upsilon_2)...(1-lambda upsilon_n)$$
where $lambda$ is spatial autoregressive coefficient, $W$ is normalized weight matrix, $upsilon$ is eigenvalues of $W$, $Q$ is the matrix that trinagularizes $W$.



1.i can't figure out how changes taking place of the $Q^-1$ matrix in front of $(I_n-lambda W)$ in the first equation to behind of $(I_n-lambda W)$ in the second equation? is there any proporties for that?



2.why do need $W$ is triangularized? can it be proof without triangularized?



I would really appreciate some help.







share|cite|improve this question



















  • Note that the determinant is multiplicative i.e. $det(Q(I_n-lambda W)Q^-1)=det(Q)det(I_n-lambda W)det(Q^-1)$ and the values of the determinant commute
    – Peter Melech
    Jul 25 at 14:14












up vote
0
down vote

favorite









up vote
0
down vote

favorite











I try to figure out the proof of determinant of matrix by eigen decomposition,
$$det(I_n-lambda W)=det(QQ^-1(I_n-lambda W))$$
$$=det(Q(I_n-lambda W)Q^-1)$$
$$=(1-lambda upsilon_1)(1-lambda upsilon_2)...(1-lambda upsilon_n)$$
where $lambda$ is spatial autoregressive coefficient, $W$ is normalized weight matrix, $upsilon$ is eigenvalues of $W$, $Q$ is the matrix that trinagularizes $W$.



1.i can't figure out how changes taking place of the $Q^-1$ matrix in front of $(I_n-lambda W)$ in the first equation to behind of $(I_n-lambda W)$ in the second equation? is there any proporties for that?



2.why do need $W$ is triangularized? can it be proof without triangularized?



I would really appreciate some help.







share|cite|improve this question











I try to figure out the proof of determinant of matrix by eigen decomposition,
$$det(I_n-lambda W)=det(QQ^-1(I_n-lambda W))$$
$$=det(Q(I_n-lambda W)Q^-1)$$
$$=(1-lambda upsilon_1)(1-lambda upsilon_2)...(1-lambda upsilon_n)$$
where $lambda$ is spatial autoregressive coefficient, $W$ is normalized weight matrix, $upsilon$ is eigenvalues of $W$, $Q$ is the matrix that trinagularizes $W$.



1.i can't figure out how changes taking place of the $Q^-1$ matrix in front of $(I_n-lambda W)$ in the first equation to behind of $(I_n-lambda W)$ in the second equation? is there any proporties for that?



2.why do need $W$ is triangularized? can it be proof without triangularized?



I would really appreciate some help.









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asked Jul 25 at 14:07









v.yildirim

32




32











  • Note that the determinant is multiplicative i.e. $det(Q(I_n-lambda W)Q^-1)=det(Q)det(I_n-lambda W)det(Q^-1)$ and the values of the determinant commute
    – Peter Melech
    Jul 25 at 14:14
















  • Note that the determinant is multiplicative i.e. $det(Q(I_n-lambda W)Q^-1)=det(Q)det(I_n-lambda W)det(Q^-1)$ and the values of the determinant commute
    – Peter Melech
    Jul 25 at 14:14















Note that the determinant is multiplicative i.e. $det(Q(I_n-lambda W)Q^-1)=det(Q)det(I_n-lambda W)det(Q^-1)$ and the values of the determinant commute
– Peter Melech
Jul 25 at 14:14




Note that the determinant is multiplicative i.e. $det(Q(I_n-lambda W)Q^-1)=det(Q)det(I_n-lambda W)det(Q^-1)$ and the values of the determinant commute
– Peter Melech
Jul 25 at 14:14










2 Answers
2






active

oldest

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up vote
0
down vote



accepted










So we know (given) that there is a $Q$ such that $QWQ^-1$ is triangular. The first step is to introduce $Q$



$$det(I - lambda W) = det( Q^-1Q(I-lambda W))$$
Second let's use the property $det(AB) = det(BA)$ where $A = Q^-1$ and $B = Q(I-lambda W)$ hence



$$det(I - lambda W) = det(Q(I-lambda W) Q^-1)$$
Third, expand the above
$$det(I - lambda W) = det(QQ^-1-lambda Q W Q^-1 )$$
Notice that $QQ^-1 = I$ again so
$$det(I - lambda W) = det(I-lambda Q W Q^-1 )$$
Fifth denote our triangular matrix $QWQ^-1 = T$ hence
$$det(I - lambda W) = det(I-lambda T )$$
Notice that $I - lambda T$ is also triangular with diagonal elements $1 - lambda v_1$, where $v_k$ appear on the diagonal entries of $T$. Using the fact that the determinant of a triangular matrix is nothing other than the product of it's diagonal entries, then
$$det(I - lambda W) =(1 - lambda v_1)ldots(1-lambda v_n)$$






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  • Thank you detailed explanation. It is cleary seen.
    – v.yildirim
    Jul 26 at 7:20










  • I'm glad it helped. If you found it useful, you could mark the answer as correct and upvote to help other viewers know that it was helpful @v.yildirim
    – Ahmad Bazzi
    Jul 26 at 13:31

















up vote
0
down vote













  1. Just think of a theorem saying that $$det(AB)=det(A)det(B)$$so we have $$det(AB)=det(BA)$$2. sure it can be proved in such way. Probably in your problem the matrix is particularly triangular but it doesn't require to remain so. To show that the key idea is that $$textthe determinant of a matrix is multiplication of all its eigenvalues$$can you finish this one?





share|cite|improve this answer





















  • So i can see how it can change and i think it is easy to show dererminant with eigenvalues by triangularized matrix. Thank you
    – v.yildirim
    Jul 26 at 7:17










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2 Answers
2






active

oldest

votes








2 Answers
2






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
0
down vote



accepted










So we know (given) that there is a $Q$ such that $QWQ^-1$ is triangular. The first step is to introduce $Q$



$$det(I - lambda W) = det( Q^-1Q(I-lambda W))$$
Second let's use the property $det(AB) = det(BA)$ where $A = Q^-1$ and $B = Q(I-lambda W)$ hence



$$det(I - lambda W) = det(Q(I-lambda W) Q^-1)$$
Third, expand the above
$$det(I - lambda W) = det(QQ^-1-lambda Q W Q^-1 )$$
Notice that $QQ^-1 = I$ again so
$$det(I - lambda W) = det(I-lambda Q W Q^-1 )$$
Fifth denote our triangular matrix $QWQ^-1 = T$ hence
$$det(I - lambda W) = det(I-lambda T )$$
Notice that $I - lambda T$ is also triangular with diagonal elements $1 - lambda v_1$, where $v_k$ appear on the diagonal entries of $T$. Using the fact that the determinant of a triangular matrix is nothing other than the product of it's diagonal entries, then
$$det(I - lambda W) =(1 - lambda v_1)ldots(1-lambda v_n)$$






share|cite|improve this answer























  • Thank you detailed explanation. It is cleary seen.
    – v.yildirim
    Jul 26 at 7:20










  • I'm glad it helped. If you found it useful, you could mark the answer as correct and upvote to help other viewers know that it was helpful @v.yildirim
    – Ahmad Bazzi
    Jul 26 at 13:31














up vote
0
down vote



accepted










So we know (given) that there is a $Q$ such that $QWQ^-1$ is triangular. The first step is to introduce $Q$



$$det(I - lambda W) = det( Q^-1Q(I-lambda W))$$
Second let's use the property $det(AB) = det(BA)$ where $A = Q^-1$ and $B = Q(I-lambda W)$ hence



$$det(I - lambda W) = det(Q(I-lambda W) Q^-1)$$
Third, expand the above
$$det(I - lambda W) = det(QQ^-1-lambda Q W Q^-1 )$$
Notice that $QQ^-1 = I$ again so
$$det(I - lambda W) = det(I-lambda Q W Q^-1 )$$
Fifth denote our triangular matrix $QWQ^-1 = T$ hence
$$det(I - lambda W) = det(I-lambda T )$$
Notice that $I - lambda T$ is also triangular with diagonal elements $1 - lambda v_1$, where $v_k$ appear on the diagonal entries of $T$. Using the fact that the determinant of a triangular matrix is nothing other than the product of it's diagonal entries, then
$$det(I - lambda W) =(1 - lambda v_1)ldots(1-lambda v_n)$$






share|cite|improve this answer























  • Thank you detailed explanation. It is cleary seen.
    – v.yildirim
    Jul 26 at 7:20










  • I'm glad it helped. If you found it useful, you could mark the answer as correct and upvote to help other viewers know that it was helpful @v.yildirim
    – Ahmad Bazzi
    Jul 26 at 13:31












up vote
0
down vote



accepted







up vote
0
down vote



accepted






So we know (given) that there is a $Q$ such that $QWQ^-1$ is triangular. The first step is to introduce $Q$



$$det(I - lambda W) = det( Q^-1Q(I-lambda W))$$
Second let's use the property $det(AB) = det(BA)$ where $A = Q^-1$ and $B = Q(I-lambda W)$ hence



$$det(I - lambda W) = det(Q(I-lambda W) Q^-1)$$
Third, expand the above
$$det(I - lambda W) = det(QQ^-1-lambda Q W Q^-1 )$$
Notice that $QQ^-1 = I$ again so
$$det(I - lambda W) = det(I-lambda Q W Q^-1 )$$
Fifth denote our triangular matrix $QWQ^-1 = T$ hence
$$det(I - lambda W) = det(I-lambda T )$$
Notice that $I - lambda T$ is also triangular with diagonal elements $1 - lambda v_1$, where $v_k$ appear on the diagonal entries of $T$. Using the fact that the determinant of a triangular matrix is nothing other than the product of it's diagonal entries, then
$$det(I - lambda W) =(1 - lambda v_1)ldots(1-lambda v_n)$$






share|cite|improve this answer















So we know (given) that there is a $Q$ such that $QWQ^-1$ is triangular. The first step is to introduce $Q$



$$det(I - lambda W) = det( Q^-1Q(I-lambda W))$$
Second let's use the property $det(AB) = det(BA)$ where $A = Q^-1$ and $B = Q(I-lambda W)$ hence



$$det(I - lambda W) = det(Q(I-lambda W) Q^-1)$$
Third, expand the above
$$det(I - lambda W) = det(QQ^-1-lambda Q W Q^-1 )$$
Notice that $QQ^-1 = I$ again so
$$det(I - lambda W) = det(I-lambda Q W Q^-1 )$$
Fifth denote our triangular matrix $QWQ^-1 = T$ hence
$$det(I - lambda W) = det(I-lambda T )$$
Notice that $I - lambda T$ is also triangular with diagonal elements $1 - lambda v_1$, where $v_k$ appear on the diagonal entries of $T$. Using the fact that the determinant of a triangular matrix is nothing other than the product of it's diagonal entries, then
$$det(I - lambda W) =(1 - lambda v_1)ldots(1-lambda v_n)$$







share|cite|improve this answer















share|cite|improve this answer



share|cite|improve this answer








edited Jul 25 at 14:26


























answered Jul 25 at 14:20









Ahmad Bazzi

2,6271417




2,6271417











  • Thank you detailed explanation. It is cleary seen.
    – v.yildirim
    Jul 26 at 7:20










  • I'm glad it helped. If you found it useful, you could mark the answer as correct and upvote to help other viewers know that it was helpful @v.yildirim
    – Ahmad Bazzi
    Jul 26 at 13:31
















  • Thank you detailed explanation. It is cleary seen.
    – v.yildirim
    Jul 26 at 7:20










  • I'm glad it helped. If you found it useful, you could mark the answer as correct and upvote to help other viewers know that it was helpful @v.yildirim
    – Ahmad Bazzi
    Jul 26 at 13:31















Thank you detailed explanation. It is cleary seen.
– v.yildirim
Jul 26 at 7:20




Thank you detailed explanation. It is cleary seen.
– v.yildirim
Jul 26 at 7:20












I'm glad it helped. If you found it useful, you could mark the answer as correct and upvote to help other viewers know that it was helpful @v.yildirim
– Ahmad Bazzi
Jul 26 at 13:31




I'm glad it helped. If you found it useful, you could mark the answer as correct and upvote to help other viewers know that it was helpful @v.yildirim
– Ahmad Bazzi
Jul 26 at 13:31










up vote
0
down vote













  1. Just think of a theorem saying that $$det(AB)=det(A)det(B)$$so we have $$det(AB)=det(BA)$$2. sure it can be proved in such way. Probably in your problem the matrix is particularly triangular but it doesn't require to remain so. To show that the key idea is that $$textthe determinant of a matrix is multiplication of all its eigenvalues$$can you finish this one?





share|cite|improve this answer





















  • So i can see how it can change and i think it is easy to show dererminant with eigenvalues by triangularized matrix. Thank you
    – v.yildirim
    Jul 26 at 7:17














up vote
0
down vote













  1. Just think of a theorem saying that $$det(AB)=det(A)det(B)$$so we have $$det(AB)=det(BA)$$2. sure it can be proved in such way. Probably in your problem the matrix is particularly triangular but it doesn't require to remain so. To show that the key idea is that $$textthe determinant of a matrix is multiplication of all its eigenvalues$$can you finish this one?





share|cite|improve this answer





















  • So i can see how it can change and i think it is easy to show dererminant with eigenvalues by triangularized matrix. Thank you
    – v.yildirim
    Jul 26 at 7:17












up vote
0
down vote










up vote
0
down vote









  1. Just think of a theorem saying that $$det(AB)=det(A)det(B)$$so we have $$det(AB)=det(BA)$$2. sure it can be proved in such way. Probably in your problem the matrix is particularly triangular but it doesn't require to remain so. To show that the key idea is that $$textthe determinant of a matrix is multiplication of all its eigenvalues$$can you finish this one?





share|cite|improve this answer













  1. Just think of a theorem saying that $$det(AB)=det(A)det(B)$$so we have $$det(AB)=det(BA)$$2. sure it can be proved in such way. Probably in your problem the matrix is particularly triangular but it doesn't require to remain so. To show that the key idea is that $$textthe determinant of a matrix is multiplication of all its eigenvalues$$can you finish this one?






share|cite|improve this answer













share|cite|improve this answer



share|cite|improve this answer











answered Jul 25 at 15:36









Mostafa Ayaz

8,5373630




8,5373630











  • So i can see how it can change and i think it is easy to show dererminant with eigenvalues by triangularized matrix. Thank you
    – v.yildirim
    Jul 26 at 7:17
















  • So i can see how it can change and i think it is easy to show dererminant with eigenvalues by triangularized matrix. Thank you
    – v.yildirim
    Jul 26 at 7:17















So i can see how it can change and i think it is easy to show dererminant with eigenvalues by triangularized matrix. Thank you
– v.yildirim
Jul 26 at 7:17




So i can see how it can change and i think it is easy to show dererminant with eigenvalues by triangularized matrix. Thank you
– v.yildirim
Jul 26 at 7:17












 

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