Can $A^3=0$ imply $|I+A|=0$?
$begingroup$
Suppose $A$ is a non-zero matrix such that $A^3=0$. Prove the following assertions or provide counter examples:-
$(1) A^2$ is a zero matrix
$(2) A+A^2$ can have zero trace
$(3) A-A^2$ can have zero trace
$(4) I+A$ is singular.
My Attempt:- I know if $A^3=0$ then $A^2=0$ can be true (though not always). I have no idea whether $tr(A+A^2)=0$ or $tr(A-A^2)=0$ is possible or not if $A^3=0$. But when I looked closely at $|I+A|$ then I found that
$$|I+A|=0$$
For $2times2$ matrix, we have
$$Rightarrow |A|+tr(A)+1=0 $$
$$Rightarrow lambda_1lambda_2+lambda_1+lambda_2+1=0 $$
where $lambda_1$ and $lambda_2$ are the two eigenvalues of $A$
$$Rightarrow lambda_1(lambda_2+1)+1.(lambda_2+1)=0 $$
$$Rightarrow (lambda_2+1)(lambda_1+1)=0 $$
$$Rightarrow lambda_2=-1, lambda_1=-1 tag1$$
But we have $$A^3=0$$
$$Rightarrow |A^3|=0$$
$$Rightarrow |A|^3=0$$
$$Rightarrow |A|=0$$
So,
either $lambda_1=0$ or $lambda_2=0$ (or both may be zero) which contradicts with equation $(1)$. So, $I+A$ is non singular.
Am I Correct ?
linear-algebra matrices determinant
$endgroup$
add a comment |
$begingroup$
Suppose $A$ is a non-zero matrix such that $A^3=0$. Prove the following assertions or provide counter examples:-
$(1) A^2$ is a zero matrix
$(2) A+A^2$ can have zero trace
$(3) A-A^2$ can have zero trace
$(4) I+A$ is singular.
My Attempt:- I know if $A^3=0$ then $A^2=0$ can be true (though not always). I have no idea whether $tr(A+A^2)=0$ or $tr(A-A^2)=0$ is possible or not if $A^3=0$. But when I looked closely at $|I+A|$ then I found that
$$|I+A|=0$$
For $2times2$ matrix, we have
$$Rightarrow |A|+tr(A)+1=0 $$
$$Rightarrow lambda_1lambda_2+lambda_1+lambda_2+1=0 $$
where $lambda_1$ and $lambda_2$ are the two eigenvalues of $A$
$$Rightarrow lambda_1(lambda_2+1)+1.(lambda_2+1)=0 $$
$$Rightarrow (lambda_2+1)(lambda_1+1)=0 $$
$$Rightarrow lambda_2=-1, lambda_1=-1 tag1$$
But we have $$A^3=0$$
$$Rightarrow |A^3|=0$$
$$Rightarrow |A|^3=0$$
$$Rightarrow |A|=0$$
So,
either $lambda_1=0$ or $lambda_2=0$ (or both may be zero) which contradicts with equation $(1)$. So, $I+A$ is non singular.
Am I Correct ?
linear-algebra matrices determinant
$endgroup$
$begingroup$
Hint to much easier approach for (4): Consider $(I+A)(I-A+A^2)$
$endgroup$
– JMoravitz
Mar 3 '18 at 1:12
1
$begingroup$
For (2), (3), any such $A$ you try will show these options can be ruled out. So every example is a counterexample! That is because when $A^3=0$, all eigenvalues of $A$ exist and are equal to zero. Then the same goes for all eigenvalues of the powers $A^k$ of $A$. And the trace is the sum of the eigenvalues, and the trace is linear, $mathrm{tr}(X+Y)=mathrm{tr}(X)+mathrm{tr}(Y)$.
$endgroup$
– Jeppe Stig Nielsen
Mar 3 '18 at 2:23
add a comment |
$begingroup$
Suppose $A$ is a non-zero matrix such that $A^3=0$. Prove the following assertions or provide counter examples:-
$(1) A^2$ is a zero matrix
$(2) A+A^2$ can have zero trace
$(3) A-A^2$ can have zero trace
$(4) I+A$ is singular.
My Attempt:- I know if $A^3=0$ then $A^2=0$ can be true (though not always). I have no idea whether $tr(A+A^2)=0$ or $tr(A-A^2)=0$ is possible or not if $A^3=0$. But when I looked closely at $|I+A|$ then I found that
$$|I+A|=0$$
For $2times2$ matrix, we have
$$Rightarrow |A|+tr(A)+1=0 $$
$$Rightarrow lambda_1lambda_2+lambda_1+lambda_2+1=0 $$
where $lambda_1$ and $lambda_2$ are the two eigenvalues of $A$
$$Rightarrow lambda_1(lambda_2+1)+1.(lambda_2+1)=0 $$
$$Rightarrow (lambda_2+1)(lambda_1+1)=0 $$
$$Rightarrow lambda_2=-1, lambda_1=-1 tag1$$
But we have $$A^3=0$$
$$Rightarrow |A^3|=0$$
$$Rightarrow |A|^3=0$$
$$Rightarrow |A|=0$$
So,
either $lambda_1=0$ or $lambda_2=0$ (or both may be zero) which contradicts with equation $(1)$. So, $I+A$ is non singular.
Am I Correct ?
linear-algebra matrices determinant
$endgroup$
Suppose $A$ is a non-zero matrix such that $A^3=0$. Prove the following assertions or provide counter examples:-
$(1) A^2$ is a zero matrix
$(2) A+A^2$ can have zero trace
$(3) A-A^2$ can have zero trace
$(4) I+A$ is singular.
My Attempt:- I know if $A^3=0$ then $A^2=0$ can be true (though not always). I have no idea whether $tr(A+A^2)=0$ or $tr(A-A^2)=0$ is possible or not if $A^3=0$. But when I looked closely at $|I+A|$ then I found that
$$|I+A|=0$$
For $2times2$ matrix, we have
$$Rightarrow |A|+tr(A)+1=0 $$
$$Rightarrow lambda_1lambda_2+lambda_1+lambda_2+1=0 $$
where $lambda_1$ and $lambda_2$ are the two eigenvalues of $A$
$$Rightarrow lambda_1(lambda_2+1)+1.(lambda_2+1)=0 $$
$$Rightarrow (lambda_2+1)(lambda_1+1)=0 $$
$$Rightarrow lambda_2=-1, lambda_1=-1 tag1$$
But we have $$A^3=0$$
$$Rightarrow |A^3|=0$$
$$Rightarrow |A|^3=0$$
$$Rightarrow |A|=0$$
So,
either $lambda_1=0$ or $lambda_2=0$ (or both may be zero) which contradicts with equation $(1)$. So, $I+A$ is non singular.
Am I Correct ?
linear-algebra matrices determinant
linear-algebra matrices determinant
edited Jan 31 at 4:01
asked Mar 3 '18 at 1:01
user440191
$begingroup$
Hint to much easier approach for (4): Consider $(I+A)(I-A+A^2)$
$endgroup$
– JMoravitz
Mar 3 '18 at 1:12
1
$begingroup$
For (2), (3), any such $A$ you try will show these options can be ruled out. So every example is a counterexample! That is because when $A^3=0$, all eigenvalues of $A$ exist and are equal to zero. Then the same goes for all eigenvalues of the powers $A^k$ of $A$. And the trace is the sum of the eigenvalues, and the trace is linear, $mathrm{tr}(X+Y)=mathrm{tr}(X)+mathrm{tr}(Y)$.
$endgroup$
– Jeppe Stig Nielsen
Mar 3 '18 at 2:23
add a comment |
$begingroup$
Hint to much easier approach for (4): Consider $(I+A)(I-A+A^2)$
$endgroup$
– JMoravitz
Mar 3 '18 at 1:12
1
$begingroup$
For (2), (3), any such $A$ you try will show these options can be ruled out. So every example is a counterexample! That is because when $A^3=0$, all eigenvalues of $A$ exist and are equal to zero. Then the same goes for all eigenvalues of the powers $A^k$ of $A$. And the trace is the sum of the eigenvalues, and the trace is linear, $mathrm{tr}(X+Y)=mathrm{tr}(X)+mathrm{tr}(Y)$.
$endgroup$
– Jeppe Stig Nielsen
Mar 3 '18 at 2:23
$begingroup$
Hint to much easier approach for (4): Consider $(I+A)(I-A+A^2)$
$endgroup$
– JMoravitz
Mar 3 '18 at 1:12
$begingroup$
Hint to much easier approach for (4): Consider $(I+A)(I-A+A^2)$
$endgroup$
– JMoravitz
Mar 3 '18 at 1:12
1
1
$begingroup$
For (2), (3), any such $A$ you try will show these options can be ruled out. So every example is a counterexample! That is because when $A^3=0$, all eigenvalues of $A$ exist and are equal to zero. Then the same goes for all eigenvalues of the powers $A^k$ of $A$. And the trace is the sum of the eigenvalues, and the trace is linear, $mathrm{tr}(X+Y)=mathrm{tr}(X)+mathrm{tr}(Y)$.
$endgroup$
– Jeppe Stig Nielsen
Mar 3 '18 at 2:23
$begingroup$
For (2), (3), any such $A$ you try will show these options can be ruled out. So every example is a counterexample! That is because when $A^3=0$, all eigenvalues of $A$ exist and are equal to zero. Then the same goes for all eigenvalues of the powers $A^k$ of $A$. And the trace is the sum of the eigenvalues, and the trace is linear, $mathrm{tr}(X+Y)=mathrm{tr}(X)+mathrm{tr}(Y)$.
$endgroup$
– Jeppe Stig Nielsen
Mar 3 '18 at 2:23
add a comment |
3 Answers
3
active
oldest
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$begingroup$
You're on the right track.
Your first sentence about option (1) is correct, it can be ruled out.
Your thoughts about $2times2$ matrices and option (4) are also correct.
However, here we might deal with bigger matrices. Especially because for a $2times2$ matrix $A$, we do have $A^3=0 implies A^2=0$.
It's generally a good practice to think about examples. A typical example for $A^3=0$ is
$$pmatrix{0&1&0\0&0&1\0&0&0}$$
This example rules out options (2) and (3), so we're indeed only left with (4).
For this, can you find an inverse for $I+A$, knowing $A^3=0$?
$endgroup$
add a comment |
$begingroup$
Notice that $$(I+A)(I-A+A^2)=I,$$ hence $I+A$ is nonsingular.
For $(2), (3)$, try the matrix $begin{bmatrix} 0 & 1 \ 0 & 0end{bmatrix}$
$endgroup$
add a comment |
$begingroup$
$(a)$ can be true, set $A = pmatrix{ 0 & 1 \ 0 & 0}$.
$A^3 = 0$ implies that $sigma(A) = {0}$, because the minimal polynomial of $A$ divides $x^3$.
This in turn means that $sigma(A^k) = {0}$ so $operatorname{Tr} A^k = 0$ for all $k in mathbb{N}$. Therefore $(b)$ and $(c)$ are always true:
$$operatorname{Tr}(A pm A^2) = operatorname{Tr} A pm operatorname{Tr} A^2 = 0$$
Also, $sigma(I + A) = {1}$ so $det(I + A) = 1 ne 0$, so $(d)$ is certainly false.
$endgroup$
add a comment |
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3 Answers
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3 Answers
3
active
oldest
votes
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active
oldest
votes
$begingroup$
You're on the right track.
Your first sentence about option (1) is correct, it can be ruled out.
Your thoughts about $2times2$ matrices and option (4) are also correct.
However, here we might deal with bigger matrices. Especially because for a $2times2$ matrix $A$, we do have $A^3=0 implies A^2=0$.
It's generally a good practice to think about examples. A typical example for $A^3=0$ is
$$pmatrix{0&1&0\0&0&1\0&0&0}$$
This example rules out options (2) and (3), so we're indeed only left with (4).
For this, can you find an inverse for $I+A$, knowing $A^3=0$?
$endgroup$
add a comment |
$begingroup$
You're on the right track.
Your first sentence about option (1) is correct, it can be ruled out.
Your thoughts about $2times2$ matrices and option (4) are also correct.
However, here we might deal with bigger matrices. Especially because for a $2times2$ matrix $A$, we do have $A^3=0 implies A^2=0$.
It's generally a good practice to think about examples. A typical example for $A^3=0$ is
$$pmatrix{0&1&0\0&0&1\0&0&0}$$
This example rules out options (2) and (3), so we're indeed only left with (4).
For this, can you find an inverse for $I+A$, knowing $A^3=0$?
$endgroup$
add a comment |
$begingroup$
You're on the right track.
Your first sentence about option (1) is correct, it can be ruled out.
Your thoughts about $2times2$ matrices and option (4) are also correct.
However, here we might deal with bigger matrices. Especially because for a $2times2$ matrix $A$, we do have $A^3=0 implies A^2=0$.
It's generally a good practice to think about examples. A typical example for $A^3=0$ is
$$pmatrix{0&1&0\0&0&1\0&0&0}$$
This example rules out options (2) and (3), so we're indeed only left with (4).
For this, can you find an inverse for $I+A$, knowing $A^3=0$?
$endgroup$
You're on the right track.
Your first sentence about option (1) is correct, it can be ruled out.
Your thoughts about $2times2$ matrices and option (4) are also correct.
However, here we might deal with bigger matrices. Especially because for a $2times2$ matrix $A$, we do have $A^3=0 implies A^2=0$.
It's generally a good practice to think about examples. A typical example for $A^3=0$ is
$$pmatrix{0&1&0\0&0&1\0&0&0}$$
This example rules out options (2) and (3), so we're indeed only left with (4).
For this, can you find an inverse for $I+A$, knowing $A^3=0$?
answered Mar 3 '18 at 1:12


BerciBerci
61.9k23776
61.9k23776
add a comment |
add a comment |
$begingroup$
Notice that $$(I+A)(I-A+A^2)=I,$$ hence $I+A$ is nonsingular.
For $(2), (3)$, try the matrix $begin{bmatrix} 0 & 1 \ 0 & 0end{bmatrix}$
$endgroup$
add a comment |
$begingroup$
Notice that $$(I+A)(I-A+A^2)=I,$$ hence $I+A$ is nonsingular.
For $(2), (3)$, try the matrix $begin{bmatrix} 0 & 1 \ 0 & 0end{bmatrix}$
$endgroup$
add a comment |
$begingroup$
Notice that $$(I+A)(I-A+A^2)=I,$$ hence $I+A$ is nonsingular.
For $(2), (3)$, try the matrix $begin{bmatrix} 0 & 1 \ 0 & 0end{bmatrix}$
$endgroup$
Notice that $$(I+A)(I-A+A^2)=I,$$ hence $I+A$ is nonsingular.
For $(2), (3)$, try the matrix $begin{bmatrix} 0 & 1 \ 0 & 0end{bmatrix}$
answered Mar 3 '18 at 1:12


Siong Thye GohSiong Thye Goh
104k1468120
104k1468120
add a comment |
add a comment |
$begingroup$
$(a)$ can be true, set $A = pmatrix{ 0 & 1 \ 0 & 0}$.
$A^3 = 0$ implies that $sigma(A) = {0}$, because the minimal polynomial of $A$ divides $x^3$.
This in turn means that $sigma(A^k) = {0}$ so $operatorname{Tr} A^k = 0$ for all $k in mathbb{N}$. Therefore $(b)$ and $(c)$ are always true:
$$operatorname{Tr}(A pm A^2) = operatorname{Tr} A pm operatorname{Tr} A^2 = 0$$
Also, $sigma(I + A) = {1}$ so $det(I + A) = 1 ne 0$, so $(d)$ is certainly false.
$endgroup$
add a comment |
$begingroup$
$(a)$ can be true, set $A = pmatrix{ 0 & 1 \ 0 & 0}$.
$A^3 = 0$ implies that $sigma(A) = {0}$, because the minimal polynomial of $A$ divides $x^3$.
This in turn means that $sigma(A^k) = {0}$ so $operatorname{Tr} A^k = 0$ for all $k in mathbb{N}$. Therefore $(b)$ and $(c)$ are always true:
$$operatorname{Tr}(A pm A^2) = operatorname{Tr} A pm operatorname{Tr} A^2 = 0$$
Also, $sigma(I + A) = {1}$ so $det(I + A) = 1 ne 0$, so $(d)$ is certainly false.
$endgroup$
add a comment |
$begingroup$
$(a)$ can be true, set $A = pmatrix{ 0 & 1 \ 0 & 0}$.
$A^3 = 0$ implies that $sigma(A) = {0}$, because the minimal polynomial of $A$ divides $x^3$.
This in turn means that $sigma(A^k) = {0}$ so $operatorname{Tr} A^k = 0$ for all $k in mathbb{N}$. Therefore $(b)$ and $(c)$ are always true:
$$operatorname{Tr}(A pm A^2) = operatorname{Tr} A pm operatorname{Tr} A^2 = 0$$
Also, $sigma(I + A) = {1}$ so $det(I + A) = 1 ne 0$, so $(d)$ is certainly false.
$endgroup$
$(a)$ can be true, set $A = pmatrix{ 0 & 1 \ 0 & 0}$.
$A^3 = 0$ implies that $sigma(A) = {0}$, because the minimal polynomial of $A$ divides $x^3$.
This in turn means that $sigma(A^k) = {0}$ so $operatorname{Tr} A^k = 0$ for all $k in mathbb{N}$. Therefore $(b)$ and $(c)$ are always true:
$$operatorname{Tr}(A pm A^2) = operatorname{Tr} A pm operatorname{Tr} A^2 = 0$$
Also, $sigma(I + A) = {1}$ so $det(I + A) = 1 ne 0$, so $(d)$ is certainly false.
answered Mar 3 '18 at 1:13
mechanodroidmechanodroid
28.9k62648
28.9k62648
add a comment |
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$begingroup$
Hint to much easier approach for (4): Consider $(I+A)(I-A+A^2)$
$endgroup$
– JMoravitz
Mar 3 '18 at 1:12
1
$begingroup$
For (2), (3), any such $A$ you try will show these options can be ruled out. So every example is a counterexample! That is because when $A^3=0$, all eigenvalues of $A$ exist and are equal to zero. Then the same goes for all eigenvalues of the powers $A^k$ of $A$. And the trace is the sum of the eigenvalues, and the trace is linear, $mathrm{tr}(X+Y)=mathrm{tr}(X)+mathrm{tr}(Y)$.
$endgroup$
– Jeppe Stig Nielsen
Mar 3 '18 at 2:23