More efficient methods to show that something is the characteristic polynomial of a matrix
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Consider the $5times 5$ matrix $A$, $$A = begin{pmatrix}-2 & -1 & -1 & 3 & 2 \ -4 & 1 & -1 & 3 & 2 \ 1 & 1 & 0 & -3 & -2 \ -4 & -2 & -1 & 5 & 1 \ 1 & 1 & -2 & -3 & 0 end{pmatrix}$$ Show that $A$ has characteristic polynomial $(t+1)^2(t-2)^3$.
I already know how to determine the characteristic polynomial of $A$ from scratch, but I am interested in whether there is a more efficient method to check whether a given polynomial is the characteristic polynomial of a matrix. The best idea I could come up with is to check that the dimension of $lambda=-1$ is $2$ and the dimension of $lambda=2$ is $3$, but this method involves a lot of row reductions. Is there are a more efficient method?
linear-algebra
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add a comment |
$begingroup$
Consider the $5times 5$ matrix $A$, $$A = begin{pmatrix}-2 & -1 & -1 & 3 & 2 \ -4 & 1 & -1 & 3 & 2 \ 1 & 1 & 0 & -3 & -2 \ -4 & -2 & -1 & 5 & 1 \ 1 & 1 & -2 & -3 & 0 end{pmatrix}$$ Show that $A$ has characteristic polynomial $(t+1)^2(t-2)^3$.
I already know how to determine the characteristic polynomial of $A$ from scratch, but I am interested in whether there is a more efficient method to check whether a given polynomial is the characteristic polynomial of a matrix. The best idea I could come up with is to check that the dimension of $lambda=-1$ is $2$ and the dimension of $lambda=2$ is $3$, but this method involves a lot of row reductions. Is there are a more efficient method?
linear-algebra
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When you say "dimension", do you mean the dimension of the eigenspaces? If yes, then you probably get a wrong conclusion, since the dimension of the eigenspace, i.e. the geometric multiplicities is always less than or equal to the index of $t-c$ in the characteristic polynomial, i.e. the algebraic multiplicity, and the $<$ could happen.
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– xbh
Dec 5 '18 at 2:06
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Yes, I do mean the dimension of the eigenspaces. That is a good point, so then the method I came up with wouldn't work.
$endgroup$
– Ryan Greyling
Dec 5 '18 at 3:58
add a comment |
$begingroup$
Consider the $5times 5$ matrix $A$, $$A = begin{pmatrix}-2 & -1 & -1 & 3 & 2 \ -4 & 1 & -1 & 3 & 2 \ 1 & 1 & 0 & -3 & -2 \ -4 & -2 & -1 & 5 & 1 \ 1 & 1 & -2 & -3 & 0 end{pmatrix}$$ Show that $A$ has characteristic polynomial $(t+1)^2(t-2)^3$.
I already know how to determine the characteristic polynomial of $A$ from scratch, but I am interested in whether there is a more efficient method to check whether a given polynomial is the characteristic polynomial of a matrix. The best idea I could come up with is to check that the dimension of $lambda=-1$ is $2$ and the dimension of $lambda=2$ is $3$, but this method involves a lot of row reductions. Is there are a more efficient method?
linear-algebra
$endgroup$
Consider the $5times 5$ matrix $A$, $$A = begin{pmatrix}-2 & -1 & -1 & 3 & 2 \ -4 & 1 & -1 & 3 & 2 \ 1 & 1 & 0 & -3 & -2 \ -4 & -2 & -1 & 5 & 1 \ 1 & 1 & -2 & -3 & 0 end{pmatrix}$$ Show that $A$ has characteristic polynomial $(t+1)^2(t-2)^3$.
I already know how to determine the characteristic polynomial of $A$ from scratch, but I am interested in whether there is a more efficient method to check whether a given polynomial is the characteristic polynomial of a matrix. The best idea I could come up with is to check that the dimension of $lambda=-1$ is $2$ and the dimension of $lambda=2$ is $3$, but this method involves a lot of row reductions. Is there are a more efficient method?
linear-algebra
linear-algebra
asked Dec 4 '18 at 22:06
Ryan GreylingRyan Greyling
1827
1827
$begingroup$
When you say "dimension", do you mean the dimension of the eigenspaces? If yes, then you probably get a wrong conclusion, since the dimension of the eigenspace, i.e. the geometric multiplicities is always less than or equal to the index of $t-c$ in the characteristic polynomial, i.e. the algebraic multiplicity, and the $<$ could happen.
$endgroup$
– xbh
Dec 5 '18 at 2:06
$begingroup$
Yes, I do mean the dimension of the eigenspaces. That is a good point, so then the method I came up with wouldn't work.
$endgroup$
– Ryan Greyling
Dec 5 '18 at 3:58
add a comment |
$begingroup$
When you say "dimension", do you mean the dimension of the eigenspaces? If yes, then you probably get a wrong conclusion, since the dimension of the eigenspace, i.e. the geometric multiplicities is always less than or equal to the index of $t-c$ in the characteristic polynomial, i.e. the algebraic multiplicity, and the $<$ could happen.
$endgroup$
– xbh
Dec 5 '18 at 2:06
$begingroup$
Yes, I do mean the dimension of the eigenspaces. That is a good point, so then the method I came up with wouldn't work.
$endgroup$
– Ryan Greyling
Dec 5 '18 at 3:58
$begingroup$
When you say "dimension", do you mean the dimension of the eigenspaces? If yes, then you probably get a wrong conclusion, since the dimension of the eigenspace, i.e. the geometric multiplicities is always less than or equal to the index of $t-c$ in the characteristic polynomial, i.e. the algebraic multiplicity, and the $<$ could happen.
$endgroup$
– xbh
Dec 5 '18 at 2:06
$begingroup$
When you say "dimension", do you mean the dimension of the eigenspaces? If yes, then you probably get a wrong conclusion, since the dimension of the eigenspace, i.e. the geometric multiplicities is always less than or equal to the index of $t-c$ in the characteristic polynomial, i.e. the algebraic multiplicity, and the $<$ could happen.
$endgroup$
– xbh
Dec 5 '18 at 2:06
$begingroup$
Yes, I do mean the dimension of the eigenspaces. That is a good point, so then the method I came up with wouldn't work.
$endgroup$
– Ryan Greyling
Dec 5 '18 at 3:58
$begingroup$
Yes, I do mean the dimension of the eigenspaces. That is a good point, so then the method I came up with wouldn't work.
$endgroup$
– Ryan Greyling
Dec 5 '18 at 3:58
add a comment |
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$begingroup$
When you say "dimension", do you mean the dimension of the eigenspaces? If yes, then you probably get a wrong conclusion, since the dimension of the eigenspace, i.e. the geometric multiplicities is always less than or equal to the index of $t-c$ in the characteristic polynomial, i.e. the algebraic multiplicity, and the $<$ could happen.
$endgroup$
– xbh
Dec 5 '18 at 2:06
$begingroup$
Yes, I do mean the dimension of the eigenspaces. That is a good point, so then the method I came up with wouldn't work.
$endgroup$
– Ryan Greyling
Dec 5 '18 at 3:58