Understanding the constraints to find a $2times 2$ non-zero matrix $A$ such that $A^2=0$ Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Row-wise non zero product in matrix notationProve that an upper triangular matrix is invertible if and only if every diagonal entry is non-zero.Prove that det($A$) is non-zero iff $A$ is row equivalent to the $ntimes n$ identity matrixConvert from sparse to full matrixMatrix as a Multiplication of Non-Zero VectorsFor $n times n$ matrix, is zero row able to be interpreted as $n$-leading zeros?We have matrix $Ain M_n-1times n(mathbb Z)$ so that the sum of entries in each row is zero. Prove that $det(AA^T)=nk^2.$Prove that the rank of a matrix is the number of non-zero rows of its row-reduced formGiven Matrix A and AB find the matrix BHow do I find the diagonal matrix of this general matrix
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Understanding the constraints to find a $2times 2$ non-zero matrix $A$ such that $A^2=0$
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Row-wise non zero product in matrix notationProve that an upper triangular matrix is invertible if and only if every diagonal entry is non-zero.Prove that det($A$) is non-zero iff $A$ is row equivalent to the $ntimes n$ identity matrixConvert from sparse to full matrixMatrix as a Multiplication of Non-Zero VectorsFor $n times n$ matrix, is zero row able to be interpreted as $n$-leading zeros?We have matrix $Ain M_n-1times n(mathbb Z)$ so that the sum of entries in each row is zero. Prove that $det(AA^T)=nk^2.$Prove that the rank of a matrix is the number of non-zero rows of its row-reduced formGiven Matrix A and AB find the matrix BHow do I find the diagonal matrix of this general matrix
$begingroup$
Using the rules for matrix multiplication, I have found four algebraic equations as "constraints" for getting every element in the resulting matrix to be zero. Assuming that the elements in the resulting matrix are $a, b, c$ and $d$ ($a, b$ are the elements in the first row and $c, d$ are the elements in the second). The equations are therefore;
- $a^2 + bc = 0$
- $ab + bd = 0$
- $ac + cd = 0$
- $d^2 + bc = 0$
I have found from the four equations that $a=-d$ and that $bc=-a^2$ hence $bc$ must be a negative quantity thus $b$ and $c$ have opposite signs but that does not seem to be enough to guarantee that the resulting matrix is always zero. Now, I do not know how to think about this problem;
How do I find more constraints from these equations?
And how do I know that I have found all possible constraints?
Why is that when I square one equation, some how I get a new constraint?
Shouldn't the four equations be enough to determine the exact conditions for $a, b, c$ and $d$?
linear-algebra matrices analysis
$endgroup$
add a comment |
$begingroup$
Using the rules for matrix multiplication, I have found four algebraic equations as "constraints" for getting every element in the resulting matrix to be zero. Assuming that the elements in the resulting matrix are $a, b, c$ and $d$ ($a, b$ are the elements in the first row and $c, d$ are the elements in the second). The equations are therefore;
- $a^2 + bc = 0$
- $ab + bd = 0$
- $ac + cd = 0$
- $d^2 + bc = 0$
I have found from the four equations that $a=-d$ and that $bc=-a^2$ hence $bc$ must be a negative quantity thus $b$ and $c$ have opposite signs but that does not seem to be enough to guarantee that the resulting matrix is always zero. Now, I do not know how to think about this problem;
How do I find more constraints from these equations?
And how do I know that I have found all possible constraints?
Why is that when I square one equation, some how I get a new constraint?
Shouldn't the four equations be enough to determine the exact conditions for $a, b, c$ and $d$?
linear-algebra matrices analysis
$endgroup$
add a comment |
$begingroup$
Using the rules for matrix multiplication, I have found four algebraic equations as "constraints" for getting every element in the resulting matrix to be zero. Assuming that the elements in the resulting matrix are $a, b, c$ and $d$ ($a, b$ are the elements in the first row and $c, d$ are the elements in the second). The equations are therefore;
- $a^2 + bc = 0$
- $ab + bd = 0$
- $ac + cd = 0$
- $d^2 + bc = 0$
I have found from the four equations that $a=-d$ and that $bc=-a^2$ hence $bc$ must be a negative quantity thus $b$ and $c$ have opposite signs but that does not seem to be enough to guarantee that the resulting matrix is always zero. Now, I do not know how to think about this problem;
How do I find more constraints from these equations?
And how do I know that I have found all possible constraints?
Why is that when I square one equation, some how I get a new constraint?
Shouldn't the four equations be enough to determine the exact conditions for $a, b, c$ and $d$?
linear-algebra matrices analysis
$endgroup$
Using the rules for matrix multiplication, I have found four algebraic equations as "constraints" for getting every element in the resulting matrix to be zero. Assuming that the elements in the resulting matrix are $a, b, c$ and $d$ ($a, b$ are the elements in the first row and $c, d$ are the elements in the second). The equations are therefore;
- $a^2 + bc = 0$
- $ab + bd = 0$
- $ac + cd = 0$
- $d^2 + bc = 0$
I have found from the four equations that $a=-d$ and that $bc=-a^2$ hence $bc$ must be a negative quantity thus $b$ and $c$ have opposite signs but that does not seem to be enough to guarantee that the resulting matrix is always zero. Now, I do not know how to think about this problem;
How do I find more constraints from these equations?
And how do I know that I have found all possible constraints?
Why is that when I square one equation, some how I get a new constraint?
Shouldn't the four equations be enough to determine the exact conditions for $a, b, c$ and $d$?
linear-algebra matrices analysis
linear-algebra matrices analysis
edited Apr 8 at 20:05
Arnaud D.
16.2k52445
16.2k52445
asked Apr 8 at 19:08
Khalid T. SalemKhalid T. Salem
151111
151111
add a comment |
add a comment |
3 Answers
3
active
oldest
votes
$begingroup$
With
$A = beginbmatrix a & b \ c & d endbmatrix, tag 1$
we have
$A^2 = beginbmatrix a & b \ c & d endbmatrixbeginbmatrix a & b \ c & d endbmatrix = beginbmatrix a^2 + bc & (a + d)b \ (a +d)c & d^2 + bc endbmatrix = 0, tag 2$
whence
$a^2 + bc = 0, tag 3$
$d^2 + bc = 0, tag 4$
$(a + d)b = 0, tag 5$
$(a + d)c = 0; tag 6$
suppose
$a + d ne 0; tag 7$
then via (5) and (6),
$b = c = 0; tag 8$
then via (3) and (4),
$a^2 = d^2 = 0 Longrightarrow a = d = 0 Longrightarrow a + d = 0 Rightarrow Leftarrow a + d ne 0; tag 9$
this contradiction rules out the case (7), so
$a + d = 0 Longrightarrow d = -a; tag10$
now if
$a = d = 0, tag11$
then (3)-(4) imply, assuming $A ne 0$, exactly one of
$b = 0, ; c ne 0, tag12$
$b ne 0, ; c = 0, tag13$
holds. Thus the solutions in the event that (11) binds are one of the forms
$A = beginbmatrix 0 & b \ 0 & 0 endbmatrix, ; beginbmatrix 0 & 0 \ c & 0 endbmatrix; tag14$
when
$d = -a ne 0, tag15$
we find that (3)-(4) imply
$b, c ne 0 tag16$
and
$c = -dfraca^2b; tag16$
therefore
$A = beginbmatrix a & b \ -dfraca^2b & -a endbmatrix. tag17$
We see that (2) implies $A$ takes one of the three forms (14), (17); the former being comprised of two one-parameter families of matrices, and the latter comprised of one two-parameter family.
$endgroup$
add a comment |
$begingroup$
There's an easier way to do it. A $2times2$ matrix $A$ such that $A^2=0$ must have the single eigenvalue $0$, so its trace and determinant must be zero, because the characteristic polynomial is $X^2-operatornametr(A)X+det(A)$.
This yields, with your notation, $a+d=0$ and $ad-bc=0$, so $d=-a$ and $a^2+bc=0$.
Note that these conditions are sufficient, because the minimal polynomial is a divisor of the characteristic polynomial, so it is either $X$ (null matrix) or $X^2$ (nonzero nilpotent matrix).
Now you can classify the nonzero nilpotent matrices as those of the form
beginalign
&beginbmatrix 0 & b \ 0 & 0 endbmatrix
&&(bne0) \[6px]
&beginbmatrix 0 & 0 \ c & 0 endbmatrix
&&(cne0) \[6px]
&beginbmatrix a & b \ -a^2/b & -a endbmatrix
&&(ane0,bne0)
endalign
$endgroup$
add a comment |
$begingroup$
If $b=c=0$ then you get the matrIx of the form $$beginpmatrix a & 0 \ 0 & -a \ endpmatrix.$$
Now suppose that both of them are not simultaneously $0.$ WLOG let us assume that $b neq 0.$ Then the matrix is of the form $$beginpmatrix a & b \ -frac a^2 b & -a \ endpmatrix.$$
So this kind of matrices have at most $2$ degrees of freedom.
$endgroup$
add a comment |
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3 Answers
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3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
With
$A = beginbmatrix a & b \ c & d endbmatrix, tag 1$
we have
$A^2 = beginbmatrix a & b \ c & d endbmatrixbeginbmatrix a & b \ c & d endbmatrix = beginbmatrix a^2 + bc & (a + d)b \ (a +d)c & d^2 + bc endbmatrix = 0, tag 2$
whence
$a^2 + bc = 0, tag 3$
$d^2 + bc = 0, tag 4$
$(a + d)b = 0, tag 5$
$(a + d)c = 0; tag 6$
suppose
$a + d ne 0; tag 7$
then via (5) and (6),
$b = c = 0; tag 8$
then via (3) and (4),
$a^2 = d^2 = 0 Longrightarrow a = d = 0 Longrightarrow a + d = 0 Rightarrow Leftarrow a + d ne 0; tag 9$
this contradiction rules out the case (7), so
$a + d = 0 Longrightarrow d = -a; tag10$
now if
$a = d = 0, tag11$
then (3)-(4) imply, assuming $A ne 0$, exactly one of
$b = 0, ; c ne 0, tag12$
$b ne 0, ; c = 0, tag13$
holds. Thus the solutions in the event that (11) binds are one of the forms
$A = beginbmatrix 0 & b \ 0 & 0 endbmatrix, ; beginbmatrix 0 & 0 \ c & 0 endbmatrix; tag14$
when
$d = -a ne 0, tag15$
we find that (3)-(4) imply
$b, c ne 0 tag16$
and
$c = -dfraca^2b; tag16$
therefore
$A = beginbmatrix a & b \ -dfraca^2b & -a endbmatrix. tag17$
We see that (2) implies $A$ takes one of the three forms (14), (17); the former being comprised of two one-parameter families of matrices, and the latter comprised of one two-parameter family.
$endgroup$
add a comment |
$begingroup$
With
$A = beginbmatrix a & b \ c & d endbmatrix, tag 1$
we have
$A^2 = beginbmatrix a & b \ c & d endbmatrixbeginbmatrix a & b \ c & d endbmatrix = beginbmatrix a^2 + bc & (a + d)b \ (a +d)c & d^2 + bc endbmatrix = 0, tag 2$
whence
$a^2 + bc = 0, tag 3$
$d^2 + bc = 0, tag 4$
$(a + d)b = 0, tag 5$
$(a + d)c = 0; tag 6$
suppose
$a + d ne 0; tag 7$
then via (5) and (6),
$b = c = 0; tag 8$
then via (3) and (4),
$a^2 = d^2 = 0 Longrightarrow a = d = 0 Longrightarrow a + d = 0 Rightarrow Leftarrow a + d ne 0; tag 9$
this contradiction rules out the case (7), so
$a + d = 0 Longrightarrow d = -a; tag10$
now if
$a = d = 0, tag11$
then (3)-(4) imply, assuming $A ne 0$, exactly one of
$b = 0, ; c ne 0, tag12$
$b ne 0, ; c = 0, tag13$
holds. Thus the solutions in the event that (11) binds are one of the forms
$A = beginbmatrix 0 & b \ 0 & 0 endbmatrix, ; beginbmatrix 0 & 0 \ c & 0 endbmatrix; tag14$
when
$d = -a ne 0, tag15$
we find that (3)-(4) imply
$b, c ne 0 tag16$
and
$c = -dfraca^2b; tag16$
therefore
$A = beginbmatrix a & b \ -dfraca^2b & -a endbmatrix. tag17$
We see that (2) implies $A$ takes one of the three forms (14), (17); the former being comprised of two one-parameter families of matrices, and the latter comprised of one two-parameter family.
$endgroup$
add a comment |
$begingroup$
With
$A = beginbmatrix a & b \ c & d endbmatrix, tag 1$
we have
$A^2 = beginbmatrix a & b \ c & d endbmatrixbeginbmatrix a & b \ c & d endbmatrix = beginbmatrix a^2 + bc & (a + d)b \ (a +d)c & d^2 + bc endbmatrix = 0, tag 2$
whence
$a^2 + bc = 0, tag 3$
$d^2 + bc = 0, tag 4$
$(a + d)b = 0, tag 5$
$(a + d)c = 0; tag 6$
suppose
$a + d ne 0; tag 7$
then via (5) and (6),
$b = c = 0; tag 8$
then via (3) and (4),
$a^2 = d^2 = 0 Longrightarrow a = d = 0 Longrightarrow a + d = 0 Rightarrow Leftarrow a + d ne 0; tag 9$
this contradiction rules out the case (7), so
$a + d = 0 Longrightarrow d = -a; tag10$
now if
$a = d = 0, tag11$
then (3)-(4) imply, assuming $A ne 0$, exactly one of
$b = 0, ; c ne 0, tag12$
$b ne 0, ; c = 0, tag13$
holds. Thus the solutions in the event that (11) binds are one of the forms
$A = beginbmatrix 0 & b \ 0 & 0 endbmatrix, ; beginbmatrix 0 & 0 \ c & 0 endbmatrix; tag14$
when
$d = -a ne 0, tag15$
we find that (3)-(4) imply
$b, c ne 0 tag16$
and
$c = -dfraca^2b; tag16$
therefore
$A = beginbmatrix a & b \ -dfraca^2b & -a endbmatrix. tag17$
We see that (2) implies $A$ takes one of the three forms (14), (17); the former being comprised of two one-parameter families of matrices, and the latter comprised of one two-parameter family.
$endgroup$
With
$A = beginbmatrix a & b \ c & d endbmatrix, tag 1$
we have
$A^2 = beginbmatrix a & b \ c & d endbmatrixbeginbmatrix a & b \ c & d endbmatrix = beginbmatrix a^2 + bc & (a + d)b \ (a +d)c & d^2 + bc endbmatrix = 0, tag 2$
whence
$a^2 + bc = 0, tag 3$
$d^2 + bc = 0, tag 4$
$(a + d)b = 0, tag 5$
$(a + d)c = 0; tag 6$
suppose
$a + d ne 0; tag 7$
then via (5) and (6),
$b = c = 0; tag 8$
then via (3) and (4),
$a^2 = d^2 = 0 Longrightarrow a = d = 0 Longrightarrow a + d = 0 Rightarrow Leftarrow a + d ne 0; tag 9$
this contradiction rules out the case (7), so
$a + d = 0 Longrightarrow d = -a; tag10$
now if
$a = d = 0, tag11$
then (3)-(4) imply, assuming $A ne 0$, exactly one of
$b = 0, ; c ne 0, tag12$
$b ne 0, ; c = 0, tag13$
holds. Thus the solutions in the event that (11) binds are one of the forms
$A = beginbmatrix 0 & b \ 0 & 0 endbmatrix, ; beginbmatrix 0 & 0 \ c & 0 endbmatrix; tag14$
when
$d = -a ne 0, tag15$
we find that (3)-(4) imply
$b, c ne 0 tag16$
and
$c = -dfraca^2b; tag16$
therefore
$A = beginbmatrix a & b \ -dfraca^2b & -a endbmatrix. tag17$
We see that (2) implies $A$ takes one of the three forms (14), (17); the former being comprised of two one-parameter families of matrices, and the latter comprised of one two-parameter family.
answered Apr 8 at 20:21
Robert LewisRobert Lewis
49k23168
49k23168
add a comment |
add a comment |
$begingroup$
There's an easier way to do it. A $2times2$ matrix $A$ such that $A^2=0$ must have the single eigenvalue $0$, so its trace and determinant must be zero, because the characteristic polynomial is $X^2-operatornametr(A)X+det(A)$.
This yields, with your notation, $a+d=0$ and $ad-bc=0$, so $d=-a$ and $a^2+bc=0$.
Note that these conditions are sufficient, because the minimal polynomial is a divisor of the characteristic polynomial, so it is either $X$ (null matrix) or $X^2$ (nonzero nilpotent matrix).
Now you can classify the nonzero nilpotent matrices as those of the form
beginalign
&beginbmatrix 0 & b \ 0 & 0 endbmatrix
&&(bne0) \[6px]
&beginbmatrix 0 & 0 \ c & 0 endbmatrix
&&(cne0) \[6px]
&beginbmatrix a & b \ -a^2/b & -a endbmatrix
&&(ane0,bne0)
endalign
$endgroup$
add a comment |
$begingroup$
There's an easier way to do it. A $2times2$ matrix $A$ such that $A^2=0$ must have the single eigenvalue $0$, so its trace and determinant must be zero, because the characteristic polynomial is $X^2-operatornametr(A)X+det(A)$.
This yields, with your notation, $a+d=0$ and $ad-bc=0$, so $d=-a$ and $a^2+bc=0$.
Note that these conditions are sufficient, because the minimal polynomial is a divisor of the characteristic polynomial, so it is either $X$ (null matrix) or $X^2$ (nonzero nilpotent matrix).
Now you can classify the nonzero nilpotent matrices as those of the form
beginalign
&beginbmatrix 0 & b \ 0 & 0 endbmatrix
&&(bne0) \[6px]
&beginbmatrix 0 & 0 \ c & 0 endbmatrix
&&(cne0) \[6px]
&beginbmatrix a & b \ -a^2/b & -a endbmatrix
&&(ane0,bne0)
endalign
$endgroup$
add a comment |
$begingroup$
There's an easier way to do it. A $2times2$ matrix $A$ such that $A^2=0$ must have the single eigenvalue $0$, so its trace and determinant must be zero, because the characteristic polynomial is $X^2-operatornametr(A)X+det(A)$.
This yields, with your notation, $a+d=0$ and $ad-bc=0$, so $d=-a$ and $a^2+bc=0$.
Note that these conditions are sufficient, because the minimal polynomial is a divisor of the characteristic polynomial, so it is either $X$ (null matrix) or $X^2$ (nonzero nilpotent matrix).
Now you can classify the nonzero nilpotent matrices as those of the form
beginalign
&beginbmatrix 0 & b \ 0 & 0 endbmatrix
&&(bne0) \[6px]
&beginbmatrix 0 & 0 \ c & 0 endbmatrix
&&(cne0) \[6px]
&beginbmatrix a & b \ -a^2/b & -a endbmatrix
&&(ane0,bne0)
endalign
$endgroup$
There's an easier way to do it. A $2times2$ matrix $A$ such that $A^2=0$ must have the single eigenvalue $0$, so its trace and determinant must be zero, because the characteristic polynomial is $X^2-operatornametr(A)X+det(A)$.
This yields, with your notation, $a+d=0$ and $ad-bc=0$, so $d=-a$ and $a^2+bc=0$.
Note that these conditions are sufficient, because the minimal polynomial is a divisor of the characteristic polynomial, so it is either $X$ (null matrix) or $X^2$ (nonzero nilpotent matrix).
Now you can classify the nonzero nilpotent matrices as those of the form
beginalign
&beginbmatrix 0 & b \ 0 & 0 endbmatrix
&&(bne0) \[6px]
&beginbmatrix 0 & 0 \ c & 0 endbmatrix
&&(cne0) \[6px]
&beginbmatrix a & b \ -a^2/b & -a endbmatrix
&&(ane0,bne0)
endalign
edited Apr 8 at 20:39
answered Apr 8 at 20:33
egregegreg
186k1486208
186k1486208
add a comment |
add a comment |
$begingroup$
If $b=c=0$ then you get the matrIx of the form $$beginpmatrix a & 0 \ 0 & -a \ endpmatrix.$$
Now suppose that both of them are not simultaneously $0.$ WLOG let us assume that $b neq 0.$ Then the matrix is of the form $$beginpmatrix a & b \ -frac a^2 b & -a \ endpmatrix.$$
So this kind of matrices have at most $2$ degrees of freedom.
$endgroup$
add a comment |
$begingroup$
If $b=c=0$ then you get the matrIx of the form $$beginpmatrix a & 0 \ 0 & -a \ endpmatrix.$$
Now suppose that both of them are not simultaneously $0.$ WLOG let us assume that $b neq 0.$ Then the matrix is of the form $$beginpmatrix a & b \ -frac a^2 b & -a \ endpmatrix.$$
So this kind of matrices have at most $2$ degrees of freedom.
$endgroup$
add a comment |
$begingroup$
If $b=c=0$ then you get the matrIx of the form $$beginpmatrix a & 0 \ 0 & -a \ endpmatrix.$$
Now suppose that both of them are not simultaneously $0.$ WLOG let us assume that $b neq 0.$ Then the matrix is of the form $$beginpmatrix a & b \ -frac a^2 b & -a \ endpmatrix.$$
So this kind of matrices have at most $2$ degrees of freedom.
$endgroup$
If $b=c=0$ then you get the matrIx of the form $$beginpmatrix a & 0 \ 0 & -a \ endpmatrix.$$
Now suppose that both of them are not simultaneously $0.$ WLOG let us assume that $b neq 0.$ Then the matrix is of the form $$beginpmatrix a & b \ -frac a^2 b & -a \ endpmatrix.$$
So this kind of matrices have at most $2$ degrees of freedom.
answered Apr 8 at 19:20
Dbchatto67Dbchatto67
3,052623
3,052623
add a comment |
add a comment |
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