Questions on symmetric matrices and skew-symmetric matrices
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Let $A$ be a $3times 3;$ symmetric matrix. Let $U$ be the set of all $3times 3;$ skew-symmetric matrices. Let $T : Uto U$ be defined as $T(B)=AB+BA.$
Prove that $T$ is bijective iff the sum of eigenvalues of $A$ is not an eigenvalue of $A.$
This question makes me stuck for days, since I cannot relate the eigenvalues with the map. Can anyone help me?
linear-algebra matrices eigenvalues-eigenvectors linear-transformations symmetric-matrices
$endgroup$
add a comment |
$begingroup$
Let $A$ be a $3times 3;$ symmetric matrix. Let $U$ be the set of all $3times 3;$ skew-symmetric matrices. Let $T : Uto U$ be defined as $T(B)=AB+BA.$
Prove that $T$ is bijective iff the sum of eigenvalues of $A$ is not an eigenvalue of $A.$
This question makes me stuck for days, since I cannot relate the eigenvalues with the map. Can anyone help me?
linear-algebra matrices eigenvalues-eigenvectors linear-transformations symmetric-matrices
$endgroup$
add a comment |
$begingroup$
Let $A$ be a $3times 3;$ symmetric matrix. Let $U$ be the set of all $3times 3;$ skew-symmetric matrices. Let $T : Uto U$ be defined as $T(B)=AB+BA.$
Prove that $T$ is bijective iff the sum of eigenvalues of $A$ is not an eigenvalue of $A.$
This question makes me stuck for days, since I cannot relate the eigenvalues with the map. Can anyone help me?
linear-algebra matrices eigenvalues-eigenvectors linear-transformations symmetric-matrices
$endgroup$
Let $A$ be a $3times 3;$ symmetric matrix. Let $U$ be the set of all $3times 3;$ skew-symmetric matrices. Let $T : Uto U$ be defined as $T(B)=AB+BA.$
Prove that $T$ is bijective iff the sum of eigenvalues of $A$ is not an eigenvalue of $A.$
This question makes me stuck for days, since I cannot relate the eigenvalues with the map. Can anyone help me?
linear-algebra matrices eigenvalues-eigenvectors linear-transformations symmetric-matrices
linear-algebra matrices eigenvalues-eigenvectors linear-transformations symmetric-matrices
edited Dec 8 '18 at 18:28
user376343
3,9584829
3,9584829
asked Dec 8 '18 at 15:31
deep12345deep12345
152
152
add a comment |
add a comment |
1 Answer
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I am assuming that you are working over the real field. So, $A$ is diagonalizable and you can assume without loss of generality that $A$ is diagonal:$$A=begin{bmatrix}alpha&0&0\0&beta&0\0&0&gammaend{bmatrix}$$and $alpha$, $beta$, and $gamma$ are the eigenvalues of $A$. So, if$$X=begin{bmatrix}0&x&-z\-x&0&y\z&-y&0end{bmatrix},$$then$$T(X)=begin{bmatrix}0 & alpha x+beta x & -alpha z-gamma z \ -alpha x-beta x & 0 & beta y+gamma y \ alpha z+gamma z & -beta y-gamma y & 0end{bmatrix}$$and therefore the eigenvalues are $alpha+beta$, $alpha+gamma$, and $beta+gamma$. Thereforebegin{align}Ttext{ is bijective}&iff Ttext{ is injective}\&iff0text{ is not an eigenvalue of }T\&iffalpha+beta,alpha+gamma,beta+gammaneq0\&iffalpha+beta+gammaneqgammatext{, }alpha+beta+gammaneqbetatext{, and }alpha+beta+gammaneqalpha\&iffalpha+beta+gammatext{ is not an eigenvalue of }A.end{align}
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$begingroup$
Actually your example is wrong since -1+1+2=2 is an eigenvalue. What do you mean by eigenvalues of T are sum of pairs of eigenvalue of A?
$endgroup$
– deep12345
Dec 8 '18 at 16:18
$begingroup$
I misundrstood the condition! I thought that it was “the sum of two eigenvalues is not an eigenvalue”. But then, yes, the statment is correct. I will edit my answer and provide a proof.
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:26
$begingroup$
I've edited my answer. What do you think now?
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:37
$begingroup$
Never thought of brute force to compute T directly, though the answer turns out to be surprisingly simple. Thanks!
$endgroup$
– deep12345
Dec 8 '18 at 16:44
$begingroup$
What happens for dimensions other than $3times 3$? For $2times 2$ I get $$T(X) = begin{bmatrix} 0 & alpha x+beta x \ -alpha x-beta x & 0 end{bmatrix}$$
$endgroup$
– Jeppe Stig Nielsen
Dec 8 '18 at 17:17
|
show 1 more comment
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1 Answer
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1 Answer
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$begingroup$
I am assuming that you are working over the real field. So, $A$ is diagonalizable and you can assume without loss of generality that $A$ is diagonal:$$A=begin{bmatrix}alpha&0&0\0&beta&0\0&0&gammaend{bmatrix}$$and $alpha$, $beta$, and $gamma$ are the eigenvalues of $A$. So, if$$X=begin{bmatrix}0&x&-z\-x&0&y\z&-y&0end{bmatrix},$$then$$T(X)=begin{bmatrix}0 & alpha x+beta x & -alpha z-gamma z \ -alpha x-beta x & 0 & beta y+gamma y \ alpha z+gamma z & -beta y-gamma y & 0end{bmatrix}$$and therefore the eigenvalues are $alpha+beta$, $alpha+gamma$, and $beta+gamma$. Thereforebegin{align}Ttext{ is bijective}&iff Ttext{ is injective}\&iff0text{ is not an eigenvalue of }T\&iffalpha+beta,alpha+gamma,beta+gammaneq0\&iffalpha+beta+gammaneqgammatext{, }alpha+beta+gammaneqbetatext{, and }alpha+beta+gammaneqalpha\&iffalpha+beta+gammatext{ is not an eigenvalue of }A.end{align}
$endgroup$
$begingroup$
Actually your example is wrong since -1+1+2=2 is an eigenvalue. What do you mean by eigenvalues of T are sum of pairs of eigenvalue of A?
$endgroup$
– deep12345
Dec 8 '18 at 16:18
$begingroup$
I misundrstood the condition! I thought that it was “the sum of two eigenvalues is not an eigenvalue”. But then, yes, the statment is correct. I will edit my answer and provide a proof.
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:26
$begingroup$
I've edited my answer. What do you think now?
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:37
$begingroup$
Never thought of brute force to compute T directly, though the answer turns out to be surprisingly simple. Thanks!
$endgroup$
– deep12345
Dec 8 '18 at 16:44
$begingroup$
What happens for dimensions other than $3times 3$? For $2times 2$ I get $$T(X) = begin{bmatrix} 0 & alpha x+beta x \ -alpha x-beta x & 0 end{bmatrix}$$
$endgroup$
– Jeppe Stig Nielsen
Dec 8 '18 at 17:17
|
show 1 more comment
$begingroup$
I am assuming that you are working over the real field. So, $A$ is diagonalizable and you can assume without loss of generality that $A$ is diagonal:$$A=begin{bmatrix}alpha&0&0\0&beta&0\0&0&gammaend{bmatrix}$$and $alpha$, $beta$, and $gamma$ are the eigenvalues of $A$. So, if$$X=begin{bmatrix}0&x&-z\-x&0&y\z&-y&0end{bmatrix},$$then$$T(X)=begin{bmatrix}0 & alpha x+beta x & -alpha z-gamma z \ -alpha x-beta x & 0 & beta y+gamma y \ alpha z+gamma z & -beta y-gamma y & 0end{bmatrix}$$and therefore the eigenvalues are $alpha+beta$, $alpha+gamma$, and $beta+gamma$. Thereforebegin{align}Ttext{ is bijective}&iff Ttext{ is injective}\&iff0text{ is not an eigenvalue of }T\&iffalpha+beta,alpha+gamma,beta+gammaneq0\&iffalpha+beta+gammaneqgammatext{, }alpha+beta+gammaneqbetatext{, and }alpha+beta+gammaneqalpha\&iffalpha+beta+gammatext{ is not an eigenvalue of }A.end{align}
$endgroup$
$begingroup$
Actually your example is wrong since -1+1+2=2 is an eigenvalue. What do you mean by eigenvalues of T are sum of pairs of eigenvalue of A?
$endgroup$
– deep12345
Dec 8 '18 at 16:18
$begingroup$
I misundrstood the condition! I thought that it was “the sum of two eigenvalues is not an eigenvalue”. But then, yes, the statment is correct. I will edit my answer and provide a proof.
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:26
$begingroup$
I've edited my answer. What do you think now?
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:37
$begingroup$
Never thought of brute force to compute T directly, though the answer turns out to be surprisingly simple. Thanks!
$endgroup$
– deep12345
Dec 8 '18 at 16:44
$begingroup$
What happens for dimensions other than $3times 3$? For $2times 2$ I get $$T(X) = begin{bmatrix} 0 & alpha x+beta x \ -alpha x-beta x & 0 end{bmatrix}$$
$endgroup$
– Jeppe Stig Nielsen
Dec 8 '18 at 17:17
|
show 1 more comment
$begingroup$
I am assuming that you are working over the real field. So, $A$ is diagonalizable and you can assume without loss of generality that $A$ is diagonal:$$A=begin{bmatrix}alpha&0&0\0&beta&0\0&0&gammaend{bmatrix}$$and $alpha$, $beta$, and $gamma$ are the eigenvalues of $A$. So, if$$X=begin{bmatrix}0&x&-z\-x&0&y\z&-y&0end{bmatrix},$$then$$T(X)=begin{bmatrix}0 & alpha x+beta x & -alpha z-gamma z \ -alpha x-beta x & 0 & beta y+gamma y \ alpha z+gamma z & -beta y-gamma y & 0end{bmatrix}$$and therefore the eigenvalues are $alpha+beta$, $alpha+gamma$, and $beta+gamma$. Thereforebegin{align}Ttext{ is bijective}&iff Ttext{ is injective}\&iff0text{ is not an eigenvalue of }T\&iffalpha+beta,alpha+gamma,beta+gammaneq0\&iffalpha+beta+gammaneqgammatext{, }alpha+beta+gammaneqbetatext{, and }alpha+beta+gammaneqalpha\&iffalpha+beta+gammatext{ is not an eigenvalue of }A.end{align}
$endgroup$
I am assuming that you are working over the real field. So, $A$ is diagonalizable and you can assume without loss of generality that $A$ is diagonal:$$A=begin{bmatrix}alpha&0&0\0&beta&0\0&0&gammaend{bmatrix}$$and $alpha$, $beta$, and $gamma$ are the eigenvalues of $A$. So, if$$X=begin{bmatrix}0&x&-z\-x&0&y\z&-y&0end{bmatrix},$$then$$T(X)=begin{bmatrix}0 & alpha x+beta x & -alpha z-gamma z \ -alpha x-beta x & 0 & beta y+gamma y \ alpha z+gamma z & -beta y-gamma y & 0end{bmatrix}$$and therefore the eigenvalues are $alpha+beta$, $alpha+gamma$, and $beta+gamma$. Thereforebegin{align}Ttext{ is bijective}&iff Ttext{ is injective}\&iff0text{ is not an eigenvalue of }T\&iffalpha+beta,alpha+gamma,beta+gammaneq0\&iffalpha+beta+gammaneqgammatext{, }alpha+beta+gammaneqbetatext{, and }alpha+beta+gammaneqalpha\&iffalpha+beta+gammatext{ is not an eigenvalue of }A.end{align}
edited Dec 8 '18 at 16:36
answered Dec 8 '18 at 15:59
José Carlos SantosJosé Carlos Santos
168k22132236
168k22132236
$begingroup$
Actually your example is wrong since -1+1+2=2 is an eigenvalue. What do you mean by eigenvalues of T are sum of pairs of eigenvalue of A?
$endgroup$
– deep12345
Dec 8 '18 at 16:18
$begingroup$
I misundrstood the condition! I thought that it was “the sum of two eigenvalues is not an eigenvalue”. But then, yes, the statment is correct. I will edit my answer and provide a proof.
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:26
$begingroup$
I've edited my answer. What do you think now?
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:37
$begingroup$
Never thought of brute force to compute T directly, though the answer turns out to be surprisingly simple. Thanks!
$endgroup$
– deep12345
Dec 8 '18 at 16:44
$begingroup$
What happens for dimensions other than $3times 3$? For $2times 2$ I get $$T(X) = begin{bmatrix} 0 & alpha x+beta x \ -alpha x-beta x & 0 end{bmatrix}$$
$endgroup$
– Jeppe Stig Nielsen
Dec 8 '18 at 17:17
|
show 1 more comment
$begingroup$
Actually your example is wrong since -1+1+2=2 is an eigenvalue. What do you mean by eigenvalues of T are sum of pairs of eigenvalue of A?
$endgroup$
– deep12345
Dec 8 '18 at 16:18
$begingroup$
I misundrstood the condition! I thought that it was “the sum of two eigenvalues is not an eigenvalue”. But then, yes, the statment is correct. I will edit my answer and provide a proof.
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:26
$begingroup$
I've edited my answer. What do you think now?
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:37
$begingroup$
Never thought of brute force to compute T directly, though the answer turns out to be surprisingly simple. Thanks!
$endgroup$
– deep12345
Dec 8 '18 at 16:44
$begingroup$
What happens for dimensions other than $3times 3$? For $2times 2$ I get $$T(X) = begin{bmatrix} 0 & alpha x+beta x \ -alpha x-beta x & 0 end{bmatrix}$$
$endgroup$
– Jeppe Stig Nielsen
Dec 8 '18 at 17:17
$begingroup$
Actually your example is wrong since -1+1+2=2 is an eigenvalue. What do you mean by eigenvalues of T are sum of pairs of eigenvalue of A?
$endgroup$
– deep12345
Dec 8 '18 at 16:18
$begingroup$
Actually your example is wrong since -1+1+2=2 is an eigenvalue. What do you mean by eigenvalues of T are sum of pairs of eigenvalue of A?
$endgroup$
– deep12345
Dec 8 '18 at 16:18
$begingroup$
I misundrstood the condition! I thought that it was “the sum of two eigenvalues is not an eigenvalue”. But then, yes, the statment is correct. I will edit my answer and provide a proof.
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:26
$begingroup$
I misundrstood the condition! I thought that it was “the sum of two eigenvalues is not an eigenvalue”. But then, yes, the statment is correct. I will edit my answer and provide a proof.
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:26
$begingroup$
I've edited my answer. What do you think now?
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:37
$begingroup$
I've edited my answer. What do you think now?
$endgroup$
– José Carlos Santos
Dec 8 '18 at 16:37
$begingroup$
Never thought of brute force to compute T directly, though the answer turns out to be surprisingly simple. Thanks!
$endgroup$
– deep12345
Dec 8 '18 at 16:44
$begingroup$
Never thought of brute force to compute T directly, though the answer turns out to be surprisingly simple. Thanks!
$endgroup$
– deep12345
Dec 8 '18 at 16:44
$begingroup$
What happens for dimensions other than $3times 3$? For $2times 2$ I get $$T(X) = begin{bmatrix} 0 & alpha x+beta x \ -alpha x-beta x & 0 end{bmatrix}$$
$endgroup$
– Jeppe Stig Nielsen
Dec 8 '18 at 17:17
$begingroup$
What happens for dimensions other than $3times 3$? For $2times 2$ I get $$T(X) = begin{bmatrix} 0 & alpha x+beta x \ -alpha x-beta x & 0 end{bmatrix}$$
$endgroup$
– Jeppe Stig Nielsen
Dec 8 '18 at 17:17
|
show 1 more comment
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