Consider all linear systems with exactly one eigenvalue equal to 0. Which of these systems are conjugate?
This question considers non-hyperbolic matrices (2x2), which is not covered in our textbook. Basically the problem I think tries to get us to think about conjugacy patterns of these cases, but I am stuck.
If A= ((a, b), (c, d)) a 2x2 has 1 eigenvalue = 0, then I believe c or b must be 0.
So A = ((a, 0), (c, d)) or ((a, b), (0, d)), but I'm not sure where to go from there.
matrices
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This question considers non-hyperbolic matrices (2x2), which is not covered in our textbook. Basically the problem I think tries to get us to think about conjugacy patterns of these cases, but I am stuck.
If A= ((a, b), (c, d)) a 2x2 has 1 eigenvalue = 0, then I believe c or b must be 0.
So A = ((a, 0), (c, d)) or ((a, b), (0, d)), but I'm not sure where to go from there.
matrices
Why did you believe this? Counterexample $$ boldsymbol A = begin{bmatrix}1&1\1&1 end{bmatrix}. $$
– xbh
Oct 30 at 3:13
Ah yes, sorry. Shows my inexperience with linear algebra!
– MathGuyForLife
Oct 30 at 3:15
add a comment |
This question considers non-hyperbolic matrices (2x2), which is not covered in our textbook. Basically the problem I think tries to get us to think about conjugacy patterns of these cases, but I am stuck.
If A= ((a, b), (c, d)) a 2x2 has 1 eigenvalue = 0, then I believe c or b must be 0.
So A = ((a, 0), (c, d)) or ((a, b), (0, d)), but I'm not sure where to go from there.
matrices
This question considers non-hyperbolic matrices (2x2), which is not covered in our textbook. Basically the problem I think tries to get us to think about conjugacy patterns of these cases, but I am stuck.
If A= ((a, b), (c, d)) a 2x2 has 1 eigenvalue = 0, then I believe c or b must be 0.
So A = ((a, 0), (c, d)) or ((a, b), (0, d)), but I'm not sure where to go from there.
matrices
matrices
asked Oct 30 at 2:34
MathGuyForLife
1007
1007
Why did you believe this? Counterexample $$ boldsymbol A = begin{bmatrix}1&1\1&1 end{bmatrix}. $$
– xbh
Oct 30 at 3:13
Ah yes, sorry. Shows my inexperience with linear algebra!
– MathGuyForLife
Oct 30 at 3:15
add a comment |
Why did you believe this? Counterexample $$ boldsymbol A = begin{bmatrix}1&1\1&1 end{bmatrix}. $$
– xbh
Oct 30 at 3:13
Ah yes, sorry. Shows my inexperience with linear algebra!
– MathGuyForLife
Oct 30 at 3:15
Why did you believe this? Counterexample $$ boldsymbol A = begin{bmatrix}1&1\1&1 end{bmatrix}. $$
– xbh
Oct 30 at 3:13
Why did you believe this? Counterexample $$ boldsymbol A = begin{bmatrix}1&1\1&1 end{bmatrix}. $$
– xbh
Oct 30 at 3:13
Ah yes, sorry. Shows my inexperience with linear algebra!
– MathGuyForLife
Oct 30 at 3:15
Ah yes, sorry. Shows my inexperience with linear algebra!
– MathGuyForLife
Oct 30 at 3:15
add a comment |
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This means that the matrix has rank 1 or one row is a multiple of another row and one row is non zero. Formally$$k_1(a,b)+k_2(c,d)=0$$and $$a^2+b^2+c^2+d^2ne 0$$
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This means that the matrix has rank 1 or one row is a multiple of another row and one row is non zero. Formally$$k_1(a,b)+k_2(c,d)=0$$and $$a^2+b^2+c^2+d^2ne 0$$
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This means that the matrix has rank 1 or one row is a multiple of another row and one row is non zero. Formally$$k_1(a,b)+k_2(c,d)=0$$and $$a^2+b^2+c^2+d^2ne 0$$
add a comment |
This means that the matrix has rank 1 or one row is a multiple of another row and one row is non zero. Formally$$k_1(a,b)+k_2(c,d)=0$$and $$a^2+b^2+c^2+d^2ne 0$$
This means that the matrix has rank 1 or one row is a multiple of another row and one row is non zero. Formally$$k_1(a,b)+k_2(c,d)=0$$and $$a^2+b^2+c^2+d^2ne 0$$
answered Nov 24 at 18:32
Mostafa Ayaz
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Why did you believe this? Counterexample $$ boldsymbol A = begin{bmatrix}1&1\1&1 end{bmatrix}. $$
– xbh
Oct 30 at 3:13
Ah yes, sorry. Shows my inexperience with linear algebra!
– MathGuyForLife
Oct 30 at 3:15