About orthogonal matrix
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Let $Ain M_3(mathbb{R})$ be an orthogonal matrix with $det(A)=1$. Then to show
$$(Tr(A)-1)^2+sum_{i<j}(a_{ij}-a_{ji})^2=4$$ where $Tr$ denotes trace.
Suppose the matrix $A=left(begin{matrix} a_{11} & a_{12} & a_{13}\
a_{21} & a_{22} &a_{23}\
a_{31} & a_{32} & a_{33}
end{matrix}right)$ in $M_3(mathbb{R})$ be orthogonal. Then
$Tr(AA^T)=sum_{i,j}a_{ij}^2=3$. If we expand the left hand side of the equation in question, we have
$$LHS=4+2(a_{11}a_{22}+a_{11}a_{33}+a_{22}a_{33})-2(a_{12}a_{21}+a_{13}a_{31}+a_{23}a_{32})-2(a_{11}+a_{22}+a_{33})$$
$$=4+2(a_{11}a_{22}-a_{12}a_{21})+2(a_{11}a_{33}-a_{13}a_{31})+2(a_{22}a_{33}-a_{23}a_{32})-2(a_{11}+a_{22}+a_{33})$$
$$=4+minor(a_{33})+minor(a_{22})+minor(a_{11})-2(a_{11}+a_{22}+a_{33})$$
Is there any theorem/result that can be used to say that the remaining part of the last expression excluding 4 is zero? Or is there any way we can manipulate $a_{ij}$ so that it becomes zero?
I tried hard but i see no way out. Any help is highly appreciated.
matrices orthogonality
add a comment |
up vote
1
down vote
favorite
Let $Ain M_3(mathbb{R})$ be an orthogonal matrix with $det(A)=1$. Then to show
$$(Tr(A)-1)^2+sum_{i<j}(a_{ij}-a_{ji})^2=4$$ where $Tr$ denotes trace.
Suppose the matrix $A=left(begin{matrix} a_{11} & a_{12} & a_{13}\
a_{21} & a_{22} &a_{23}\
a_{31} & a_{32} & a_{33}
end{matrix}right)$ in $M_3(mathbb{R})$ be orthogonal. Then
$Tr(AA^T)=sum_{i,j}a_{ij}^2=3$. If we expand the left hand side of the equation in question, we have
$$LHS=4+2(a_{11}a_{22}+a_{11}a_{33}+a_{22}a_{33})-2(a_{12}a_{21}+a_{13}a_{31}+a_{23}a_{32})-2(a_{11}+a_{22}+a_{33})$$
$$=4+2(a_{11}a_{22}-a_{12}a_{21})+2(a_{11}a_{33}-a_{13}a_{31})+2(a_{22}a_{33}-a_{23}a_{32})-2(a_{11}+a_{22}+a_{33})$$
$$=4+minor(a_{33})+minor(a_{22})+minor(a_{11})-2(a_{11}+a_{22}+a_{33})$$
Is there any theorem/result that can be used to say that the remaining part of the last expression excluding 4 is zero? Or is there any way we can manipulate $a_{ij}$ so that it becomes zero?
I tried hard but i see no way out. Any help is highly appreciated.
matrices orthogonality
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
Let $Ain M_3(mathbb{R})$ be an orthogonal matrix with $det(A)=1$. Then to show
$$(Tr(A)-1)^2+sum_{i<j}(a_{ij}-a_{ji})^2=4$$ where $Tr$ denotes trace.
Suppose the matrix $A=left(begin{matrix} a_{11} & a_{12} & a_{13}\
a_{21} & a_{22} &a_{23}\
a_{31} & a_{32} & a_{33}
end{matrix}right)$ in $M_3(mathbb{R})$ be orthogonal. Then
$Tr(AA^T)=sum_{i,j}a_{ij}^2=3$. If we expand the left hand side of the equation in question, we have
$$LHS=4+2(a_{11}a_{22}+a_{11}a_{33}+a_{22}a_{33})-2(a_{12}a_{21}+a_{13}a_{31}+a_{23}a_{32})-2(a_{11}+a_{22}+a_{33})$$
$$=4+2(a_{11}a_{22}-a_{12}a_{21})+2(a_{11}a_{33}-a_{13}a_{31})+2(a_{22}a_{33}-a_{23}a_{32})-2(a_{11}+a_{22}+a_{33})$$
$$=4+minor(a_{33})+minor(a_{22})+minor(a_{11})-2(a_{11}+a_{22}+a_{33})$$
Is there any theorem/result that can be used to say that the remaining part of the last expression excluding 4 is zero? Or is there any way we can manipulate $a_{ij}$ so that it becomes zero?
I tried hard but i see no way out. Any help is highly appreciated.
matrices orthogonality
Let $Ain M_3(mathbb{R})$ be an orthogonal matrix with $det(A)=1$. Then to show
$$(Tr(A)-1)^2+sum_{i<j}(a_{ij}-a_{ji})^2=4$$ where $Tr$ denotes trace.
Suppose the matrix $A=left(begin{matrix} a_{11} & a_{12} & a_{13}\
a_{21} & a_{22} &a_{23}\
a_{31} & a_{32} & a_{33}
end{matrix}right)$ in $M_3(mathbb{R})$ be orthogonal. Then
$Tr(AA^T)=sum_{i,j}a_{ij}^2=3$. If we expand the left hand side of the equation in question, we have
$$LHS=4+2(a_{11}a_{22}+a_{11}a_{33}+a_{22}a_{33})-2(a_{12}a_{21}+a_{13}a_{31}+a_{23}a_{32})-2(a_{11}+a_{22}+a_{33})$$
$$=4+2(a_{11}a_{22}-a_{12}a_{21})+2(a_{11}a_{33}-a_{13}a_{31})+2(a_{22}a_{33}-a_{23}a_{32})-2(a_{11}+a_{22}+a_{33})$$
$$=4+minor(a_{33})+minor(a_{22})+minor(a_{11})-2(a_{11}+a_{22}+a_{33})$$
Is there any theorem/result that can be used to say that the remaining part of the last expression excluding 4 is zero? Or is there any way we can manipulate $a_{ij}$ so that it becomes zero?
I tried hard but i see no way out. Any help is highly appreciated.
matrices orthogonality
matrices orthogonality
edited yesterday
asked yesterday
Dastan
889
889
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1 Answer
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I think the LHS should be
$$LHS=4+2(minor(a_{33})+minor(a_{22})+minor(a_{11}))−2(a_{11}+a_{22}+a_{33})$$
and you can simplify this expression with the help of the characteristic plynomial of $A$. You can write
$$Det(tI-a)=t^3-c_2t^2+c_1t-c_0$$
where $I$ is the identity matrix and $c_i$ is the sum of all principal minor of $A$ of size $3-i$. In particular, $c_0=Det(A)=1$, $c_1=minor(a_{33})+minor(a_{22})+minor(a_{11})$ using your notations and $c_2=Tr(A)$. Finally, $A$ is a matrix of $M_3(mathbb{R})$ so it has at least one real eigenvalue, $A$ is orthogonal so this eigenvalue is either $1$ or $-1$ and $det(A)=1$ so $A$ has at least an eigenvalue equal to $1$. This means that $Det(I-A)=0$ hence $1-c_2+c_1-c_0=0$ and then
$$minor(a_{33})+minor(a_{22})+minor(a_{11})=a_{11}+a_{22}+a_{33}$$
and fially $LHS=4$.
sorry, my bad! I missed the integer 2
– Dastan
yesterday
Can you tell me where can I find the proof of the formula of determinant you have used here?Moreover, I din't really get what you meant by saying "A is a matrix of $M_3(mathbb{R})$ so it has real eigen values," because a real matrix may not have real eigen values.
– Dastan
yesterday
Is there any way to solve the problem without having resorting to the theory of eigen values?
– Dastan
yesterday
Anyway, thanks a lot!!
– Dastan
yesterday
You can find more information on the coefficients of characteristic polynomials with some references here: math.stackexchange.com/questions/28650/…. In your case, you can always directly expand $Det(tI-A)$ without using this formula. Otherwise, i meant that any matrix of $M_3(mathbb{R})$ have at least one real eigenvalue. That's because the eigenvalues of an $ntimes n$ matrix are the roots of the characteristic polynomial with degree $n$ and when $n$ is odd then this polynomial has at least one real eigenvalue.
– rezoons
23 hours ago
|
show 2 more comments
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
I think the LHS should be
$$LHS=4+2(minor(a_{33})+minor(a_{22})+minor(a_{11}))−2(a_{11}+a_{22}+a_{33})$$
and you can simplify this expression with the help of the characteristic plynomial of $A$. You can write
$$Det(tI-a)=t^3-c_2t^2+c_1t-c_0$$
where $I$ is the identity matrix and $c_i$ is the sum of all principal minor of $A$ of size $3-i$. In particular, $c_0=Det(A)=1$, $c_1=minor(a_{33})+minor(a_{22})+minor(a_{11})$ using your notations and $c_2=Tr(A)$. Finally, $A$ is a matrix of $M_3(mathbb{R})$ so it has at least one real eigenvalue, $A$ is orthogonal so this eigenvalue is either $1$ or $-1$ and $det(A)=1$ so $A$ has at least an eigenvalue equal to $1$. This means that $Det(I-A)=0$ hence $1-c_2+c_1-c_0=0$ and then
$$minor(a_{33})+minor(a_{22})+minor(a_{11})=a_{11}+a_{22}+a_{33}$$
and fially $LHS=4$.
sorry, my bad! I missed the integer 2
– Dastan
yesterday
Can you tell me where can I find the proof of the formula of determinant you have used here?Moreover, I din't really get what you meant by saying "A is a matrix of $M_3(mathbb{R})$ so it has real eigen values," because a real matrix may not have real eigen values.
– Dastan
yesterday
Is there any way to solve the problem without having resorting to the theory of eigen values?
– Dastan
yesterday
Anyway, thanks a lot!!
– Dastan
yesterday
You can find more information on the coefficients of characteristic polynomials with some references here: math.stackexchange.com/questions/28650/…. In your case, you can always directly expand $Det(tI-A)$ without using this formula. Otherwise, i meant that any matrix of $M_3(mathbb{R})$ have at least one real eigenvalue. That's because the eigenvalues of an $ntimes n$ matrix are the roots of the characteristic polynomial with degree $n$ and when $n$ is odd then this polynomial has at least one real eigenvalue.
– rezoons
23 hours ago
|
show 2 more comments
up vote
0
down vote
accepted
I think the LHS should be
$$LHS=4+2(minor(a_{33})+minor(a_{22})+minor(a_{11}))−2(a_{11}+a_{22}+a_{33})$$
and you can simplify this expression with the help of the characteristic plynomial of $A$. You can write
$$Det(tI-a)=t^3-c_2t^2+c_1t-c_0$$
where $I$ is the identity matrix and $c_i$ is the sum of all principal minor of $A$ of size $3-i$. In particular, $c_0=Det(A)=1$, $c_1=minor(a_{33})+minor(a_{22})+minor(a_{11})$ using your notations and $c_2=Tr(A)$. Finally, $A$ is a matrix of $M_3(mathbb{R})$ so it has at least one real eigenvalue, $A$ is orthogonal so this eigenvalue is either $1$ or $-1$ and $det(A)=1$ so $A$ has at least an eigenvalue equal to $1$. This means that $Det(I-A)=0$ hence $1-c_2+c_1-c_0=0$ and then
$$minor(a_{33})+minor(a_{22})+minor(a_{11})=a_{11}+a_{22}+a_{33}$$
and fially $LHS=4$.
sorry, my bad! I missed the integer 2
– Dastan
yesterday
Can you tell me where can I find the proof of the formula of determinant you have used here?Moreover, I din't really get what you meant by saying "A is a matrix of $M_3(mathbb{R})$ so it has real eigen values," because a real matrix may not have real eigen values.
– Dastan
yesterday
Is there any way to solve the problem without having resorting to the theory of eigen values?
– Dastan
yesterday
Anyway, thanks a lot!!
– Dastan
yesterday
You can find more information on the coefficients of characteristic polynomials with some references here: math.stackexchange.com/questions/28650/…. In your case, you can always directly expand $Det(tI-A)$ without using this formula. Otherwise, i meant that any matrix of $M_3(mathbb{R})$ have at least one real eigenvalue. That's because the eigenvalues of an $ntimes n$ matrix are the roots of the characteristic polynomial with degree $n$ and when $n$ is odd then this polynomial has at least one real eigenvalue.
– rezoons
23 hours ago
|
show 2 more comments
up vote
0
down vote
accepted
up vote
0
down vote
accepted
I think the LHS should be
$$LHS=4+2(minor(a_{33})+minor(a_{22})+minor(a_{11}))−2(a_{11}+a_{22}+a_{33})$$
and you can simplify this expression with the help of the characteristic plynomial of $A$. You can write
$$Det(tI-a)=t^3-c_2t^2+c_1t-c_0$$
where $I$ is the identity matrix and $c_i$ is the sum of all principal minor of $A$ of size $3-i$. In particular, $c_0=Det(A)=1$, $c_1=minor(a_{33})+minor(a_{22})+minor(a_{11})$ using your notations and $c_2=Tr(A)$. Finally, $A$ is a matrix of $M_3(mathbb{R})$ so it has at least one real eigenvalue, $A$ is orthogonal so this eigenvalue is either $1$ or $-1$ and $det(A)=1$ so $A$ has at least an eigenvalue equal to $1$. This means that $Det(I-A)=0$ hence $1-c_2+c_1-c_0=0$ and then
$$minor(a_{33})+minor(a_{22})+minor(a_{11})=a_{11}+a_{22}+a_{33}$$
and fially $LHS=4$.
I think the LHS should be
$$LHS=4+2(minor(a_{33})+minor(a_{22})+minor(a_{11}))−2(a_{11}+a_{22}+a_{33})$$
and you can simplify this expression with the help of the characteristic plynomial of $A$. You can write
$$Det(tI-a)=t^3-c_2t^2+c_1t-c_0$$
where $I$ is the identity matrix and $c_i$ is the sum of all principal minor of $A$ of size $3-i$. In particular, $c_0=Det(A)=1$, $c_1=minor(a_{33})+minor(a_{22})+minor(a_{11})$ using your notations and $c_2=Tr(A)$. Finally, $A$ is a matrix of $M_3(mathbb{R})$ so it has at least one real eigenvalue, $A$ is orthogonal so this eigenvalue is either $1$ or $-1$ and $det(A)=1$ so $A$ has at least an eigenvalue equal to $1$. This means that $Det(I-A)=0$ hence $1-c_2+c_1-c_0=0$ and then
$$minor(a_{33})+minor(a_{22})+minor(a_{11})=a_{11}+a_{22}+a_{33}$$
and fially $LHS=4$.
edited yesterday
answered yesterday
rezoons
414
414
sorry, my bad! I missed the integer 2
– Dastan
yesterday
Can you tell me where can I find the proof of the formula of determinant you have used here?Moreover, I din't really get what you meant by saying "A is a matrix of $M_3(mathbb{R})$ so it has real eigen values," because a real matrix may not have real eigen values.
– Dastan
yesterday
Is there any way to solve the problem without having resorting to the theory of eigen values?
– Dastan
yesterday
Anyway, thanks a lot!!
– Dastan
yesterday
You can find more information on the coefficients of characteristic polynomials with some references here: math.stackexchange.com/questions/28650/…. In your case, you can always directly expand $Det(tI-A)$ without using this formula. Otherwise, i meant that any matrix of $M_3(mathbb{R})$ have at least one real eigenvalue. That's because the eigenvalues of an $ntimes n$ matrix are the roots of the characteristic polynomial with degree $n$ and when $n$ is odd then this polynomial has at least one real eigenvalue.
– rezoons
23 hours ago
|
show 2 more comments
sorry, my bad! I missed the integer 2
– Dastan
yesterday
Can you tell me where can I find the proof of the formula of determinant you have used here?Moreover, I din't really get what you meant by saying "A is a matrix of $M_3(mathbb{R})$ so it has real eigen values," because a real matrix may not have real eigen values.
– Dastan
yesterday
Is there any way to solve the problem without having resorting to the theory of eigen values?
– Dastan
yesterday
Anyway, thanks a lot!!
– Dastan
yesterday
You can find more information on the coefficients of characteristic polynomials with some references here: math.stackexchange.com/questions/28650/…. In your case, you can always directly expand $Det(tI-A)$ without using this formula. Otherwise, i meant that any matrix of $M_3(mathbb{R})$ have at least one real eigenvalue. That's because the eigenvalues of an $ntimes n$ matrix are the roots of the characteristic polynomial with degree $n$ and when $n$ is odd then this polynomial has at least one real eigenvalue.
– rezoons
23 hours ago
sorry, my bad! I missed the integer 2
– Dastan
yesterday
sorry, my bad! I missed the integer 2
– Dastan
yesterday
Can you tell me where can I find the proof of the formula of determinant you have used here?Moreover, I din't really get what you meant by saying "A is a matrix of $M_3(mathbb{R})$ so it has real eigen values," because a real matrix may not have real eigen values.
– Dastan
yesterday
Can you tell me where can I find the proof of the formula of determinant you have used here?Moreover, I din't really get what you meant by saying "A is a matrix of $M_3(mathbb{R})$ so it has real eigen values," because a real matrix may not have real eigen values.
– Dastan
yesterday
Is there any way to solve the problem without having resorting to the theory of eigen values?
– Dastan
yesterday
Is there any way to solve the problem without having resorting to the theory of eigen values?
– Dastan
yesterday
Anyway, thanks a lot!!
– Dastan
yesterday
Anyway, thanks a lot!!
– Dastan
yesterday
You can find more information on the coefficients of characteristic polynomials with some references here: math.stackexchange.com/questions/28650/…. In your case, you can always directly expand $Det(tI-A)$ without using this formula. Otherwise, i meant that any matrix of $M_3(mathbb{R})$ have at least one real eigenvalue. That's because the eigenvalues of an $ntimes n$ matrix are the roots of the characteristic polynomial with degree $n$ and when $n$ is odd then this polynomial has at least one real eigenvalue.
– rezoons
23 hours ago
You can find more information on the coefficients of characteristic polynomials with some references here: math.stackexchange.com/questions/28650/…. In your case, you can always directly expand $Det(tI-A)$ without using this formula. Otherwise, i meant that any matrix of $M_3(mathbb{R})$ have at least one real eigenvalue. That's because the eigenvalues of an $ntimes n$ matrix are the roots of the characteristic polynomial with degree $n$ and when $n$ is odd then this polynomial has at least one real eigenvalue.
– rezoons
23 hours ago
|
show 2 more comments
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