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Eigen-matrix of a tensor?


Eigen values of a certain type of block matrixFinding the eigen vectors of a 3x3 matrixGiven an eigen values evaluate $S*tinybegin{bmatrix} 0\1\0 end{bmatrix}$Same eigen values giving 2 different eigen vectorsFind the eigenvalues and corresponding eigen vectors of the matrixFinding the a Jordan Basis for a matrix with 2 eigen vectors and one generalized eigen vectorfinding eigen vector for double eigen valuefast way to find eigen vector and eigen value by inspectionProduct of matrix and a vector upper bounded by product of eigenvalue and vectorEigen values of this block matrix?













1












$begingroup$


Short vision of my question:



Is there such a thing as eigen-matrix of a tensor?





Long vision of my question:



I was given



begin{equation}
A=begin{bmatrix}
2b-a & a-b\
2b-2a & 2a-b\
end{bmatrix}
end{equation}



to find its eigenvalue and eigenvector, and I have found them with standard method.



However, I observed that the first column vector of $A$ is:



begin{equation}
begin{bmatrix}
2b-a\
2b-2a\
end{bmatrix} =begin{bmatrix}
-1& 2\
-2 & 2\
end{bmatrix}
begin{bmatrix}
a\
b
end{bmatrix}=Lambda_1s
end{equation}



similarly for the second column:



begin{equation}
begin{bmatrix}
a-b\
2a-b\
end{bmatrix} =begin{bmatrix}
1& -1\
2 & -1\
end{bmatrix}
begin{bmatrix}
a\
b
end{bmatrix}=Lambda_2s
end{equation}



I was thinking so hard how to take advantage of it.



The only idea that I came up with: turning $A$ into a product of a tensor and a matrix - combining $Lambda_1$ and $Lambda_2$ $longrightarrow
Big(
begin{bmatrix}
-1& 2\
-2 & 2\
end{bmatrix} ,
begin{bmatrix}
1& -1\
2 & -1\
end{bmatrix}
Big)
$
- times a matrix $S=begin{bmatrix}
a & a\
b & b\
end{bmatrix}$
. Since the product is just $A$, so it obviously has a eigenvalue, but I am left wondering if it is possible and meaningful to have a "eigen-matrix" or " eigen-value" for the tensor? In particular, for this tensor any way the eigen-matrix related to the eigen-vector of $A$?



(the only tensor I have learned is from mathematical method for physics many years ago, so if this is a very silly question or I made some silly mistakes, please forgive me!)










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    For your general question: since your tensor is the representation of a linear endomorphism of a finite dimensional vector space, there is a natural concept of isomorphism. For your specific matrix: compute its characteristic polynomial.
    $endgroup$
    – Mindlack
    yesterday










  • $begingroup$
    @Mindlack thanks for the comment (I had calculated the eigenvalues and eigenvectors of $A$)! would you mind elaborating a bit more about isomorphism (either on comment or answer)?
    $endgroup$
    – Shing
    13 hours ago


















1












$begingroup$


Short vision of my question:



Is there such a thing as eigen-matrix of a tensor?





Long vision of my question:



I was given



begin{equation}
A=begin{bmatrix}
2b-a & a-b\
2b-2a & 2a-b\
end{bmatrix}
end{equation}



to find its eigenvalue and eigenvector, and I have found them with standard method.



However, I observed that the first column vector of $A$ is:



begin{equation}
begin{bmatrix}
2b-a\
2b-2a\
end{bmatrix} =begin{bmatrix}
-1& 2\
-2 & 2\
end{bmatrix}
begin{bmatrix}
a\
b
end{bmatrix}=Lambda_1s
end{equation}



similarly for the second column:



begin{equation}
begin{bmatrix}
a-b\
2a-b\
end{bmatrix} =begin{bmatrix}
1& -1\
2 & -1\
end{bmatrix}
begin{bmatrix}
a\
b
end{bmatrix}=Lambda_2s
end{equation}



I was thinking so hard how to take advantage of it.



The only idea that I came up with: turning $A$ into a product of a tensor and a matrix - combining $Lambda_1$ and $Lambda_2$ $longrightarrow
Big(
begin{bmatrix}
-1& 2\
-2 & 2\
end{bmatrix} ,
begin{bmatrix}
1& -1\
2 & -1\
end{bmatrix}
Big)
$
- times a matrix $S=begin{bmatrix}
a & a\
b & b\
end{bmatrix}$
. Since the product is just $A$, so it obviously has a eigenvalue, but I am left wondering if it is possible and meaningful to have a "eigen-matrix" or " eigen-value" for the tensor? In particular, for this tensor any way the eigen-matrix related to the eigen-vector of $A$?



(the only tensor I have learned is from mathematical method for physics many years ago, so if this is a very silly question or I made some silly mistakes, please forgive me!)










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    For your general question: since your tensor is the representation of a linear endomorphism of a finite dimensional vector space, there is a natural concept of isomorphism. For your specific matrix: compute its characteristic polynomial.
    $endgroup$
    – Mindlack
    yesterday










  • $begingroup$
    @Mindlack thanks for the comment (I had calculated the eigenvalues and eigenvectors of $A$)! would you mind elaborating a bit more about isomorphism (either on comment or answer)?
    $endgroup$
    – Shing
    13 hours ago
















1












1








1





$begingroup$


Short vision of my question:



Is there such a thing as eigen-matrix of a tensor?





Long vision of my question:



I was given



begin{equation}
A=begin{bmatrix}
2b-a & a-b\
2b-2a & 2a-b\
end{bmatrix}
end{equation}



to find its eigenvalue and eigenvector, and I have found them with standard method.



However, I observed that the first column vector of $A$ is:



begin{equation}
begin{bmatrix}
2b-a\
2b-2a\
end{bmatrix} =begin{bmatrix}
-1& 2\
-2 & 2\
end{bmatrix}
begin{bmatrix}
a\
b
end{bmatrix}=Lambda_1s
end{equation}



similarly for the second column:



begin{equation}
begin{bmatrix}
a-b\
2a-b\
end{bmatrix} =begin{bmatrix}
1& -1\
2 & -1\
end{bmatrix}
begin{bmatrix}
a\
b
end{bmatrix}=Lambda_2s
end{equation}



I was thinking so hard how to take advantage of it.



The only idea that I came up with: turning $A$ into a product of a tensor and a matrix - combining $Lambda_1$ and $Lambda_2$ $longrightarrow
Big(
begin{bmatrix}
-1& 2\
-2 & 2\
end{bmatrix} ,
begin{bmatrix}
1& -1\
2 & -1\
end{bmatrix}
Big)
$
- times a matrix $S=begin{bmatrix}
a & a\
b & b\
end{bmatrix}$
. Since the product is just $A$, so it obviously has a eigenvalue, but I am left wondering if it is possible and meaningful to have a "eigen-matrix" or " eigen-value" for the tensor? In particular, for this tensor any way the eigen-matrix related to the eigen-vector of $A$?



(the only tensor I have learned is from mathematical method for physics many years ago, so if this is a very silly question or I made some silly mistakes, please forgive me!)










share|cite|improve this question











$endgroup$




Short vision of my question:



Is there such a thing as eigen-matrix of a tensor?





Long vision of my question:



I was given



begin{equation}
A=begin{bmatrix}
2b-a & a-b\
2b-2a & 2a-b\
end{bmatrix}
end{equation}



to find its eigenvalue and eigenvector, and I have found them with standard method.



However, I observed that the first column vector of $A$ is:



begin{equation}
begin{bmatrix}
2b-a\
2b-2a\
end{bmatrix} =begin{bmatrix}
-1& 2\
-2 & 2\
end{bmatrix}
begin{bmatrix}
a\
b
end{bmatrix}=Lambda_1s
end{equation}



similarly for the second column:



begin{equation}
begin{bmatrix}
a-b\
2a-b\
end{bmatrix} =begin{bmatrix}
1& -1\
2 & -1\
end{bmatrix}
begin{bmatrix}
a\
b
end{bmatrix}=Lambda_2s
end{equation}



I was thinking so hard how to take advantage of it.



The only idea that I came up with: turning $A$ into a product of a tensor and a matrix - combining $Lambda_1$ and $Lambda_2$ $longrightarrow
Big(
begin{bmatrix}
-1& 2\
-2 & 2\
end{bmatrix} ,
begin{bmatrix}
1& -1\
2 & -1\
end{bmatrix}
Big)
$
- times a matrix $S=begin{bmatrix}
a & a\
b & b\
end{bmatrix}$
. Since the product is just $A$, so it obviously has a eigenvalue, but I am left wondering if it is possible and meaningful to have a "eigen-matrix" or " eigen-value" for the tensor? In particular, for this tensor any way the eigen-matrix related to the eigen-vector of $A$?



(the only tensor I have learned is from mathematical method for physics many years ago, so if this is a very silly question or I made some silly mistakes, please forgive me!)







linear-algebra






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited 13 hours ago







Shing

















asked yesterday









ShingShing

283112




283112








  • 1




    $begingroup$
    For your general question: since your tensor is the representation of a linear endomorphism of a finite dimensional vector space, there is a natural concept of isomorphism. For your specific matrix: compute its characteristic polynomial.
    $endgroup$
    – Mindlack
    yesterday










  • $begingroup$
    @Mindlack thanks for the comment (I had calculated the eigenvalues and eigenvectors of $A$)! would you mind elaborating a bit more about isomorphism (either on comment or answer)?
    $endgroup$
    – Shing
    13 hours ago
















  • 1




    $begingroup$
    For your general question: since your tensor is the representation of a linear endomorphism of a finite dimensional vector space, there is a natural concept of isomorphism. For your specific matrix: compute its characteristic polynomial.
    $endgroup$
    – Mindlack
    yesterday










  • $begingroup$
    @Mindlack thanks for the comment (I had calculated the eigenvalues and eigenvectors of $A$)! would you mind elaborating a bit more about isomorphism (either on comment or answer)?
    $endgroup$
    – Shing
    13 hours ago










1




1




$begingroup$
For your general question: since your tensor is the representation of a linear endomorphism of a finite dimensional vector space, there is a natural concept of isomorphism. For your specific matrix: compute its characteristic polynomial.
$endgroup$
– Mindlack
yesterday




$begingroup$
For your general question: since your tensor is the representation of a linear endomorphism of a finite dimensional vector space, there is a natural concept of isomorphism. For your specific matrix: compute its characteristic polynomial.
$endgroup$
– Mindlack
yesterday












$begingroup$
@Mindlack thanks for the comment (I had calculated the eigenvalues and eigenvectors of $A$)! would you mind elaborating a bit more about isomorphism (either on comment or answer)?
$endgroup$
– Shing
13 hours ago






$begingroup$
@Mindlack thanks for the comment (I had calculated the eigenvalues and eigenvectors of $A$)! would you mind elaborating a bit more about isomorphism (either on comment or answer)?
$endgroup$
– Shing
13 hours ago












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