Matrix to the power t.
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Compute the matrix $A^t$ for the following cases:
$A_1=beginbmatrix0&0\0&1endbmatrix, quad A_2=beginbmatrix-1&0\0&-2 endbmatrix, quad A_3=beginbmatrix0&1\0&0endbmatrix, quad A_4=beginbmatrix0&1&0\0&0&1\0&0&0endbmatrix, quad A_5=beginbmatrix1&1\1&1endbmatrix$
And the answers should be:
$ quad A^t_1=beginbmatrix0^t&0\0&1^t endbmatrix, quad A^t_2=beginbmatrix(-1)^t&0\0&(-2)^t endbmatrix, quad A^t_3=beginbmatrixdelta(t)&delta(t-1)\0&delta(t) endbmatrix,quad A^t_4=beginbmatrixdelta(t)&delta(t-1)&delta(t-2)\0&delta(t)&delta(t-1)\0&0&delta(t)endbmatrix,quad A^t_5=frac12beginbmatrix0^t+2^t&-0^t+2^t\-0^t+2^t&0^t+2^t endbmatrix$
where
$ delta(j)=0^j=left{
beginarrayll
1 textfor j = 0\
0 textfor j neq 0\
endarray
right.
$
How is this done? What kind of sorcery is this?
I've checked on the net but all I could find were tricky mathematical definitions, while I'm looking for a simple "how to".
Help me Stackexchange, you are my only hope.
linear-algebra control-theory linear-control
 |Â
show 2 more comments
up vote
0
down vote
favorite
Compute the matrix $A^t$ for the following cases:
$A_1=beginbmatrix0&0\0&1endbmatrix, quad A_2=beginbmatrix-1&0\0&-2 endbmatrix, quad A_3=beginbmatrix0&1\0&0endbmatrix, quad A_4=beginbmatrix0&1&0\0&0&1\0&0&0endbmatrix, quad A_5=beginbmatrix1&1\1&1endbmatrix$
And the answers should be:
$ quad A^t_1=beginbmatrix0^t&0\0&1^t endbmatrix, quad A^t_2=beginbmatrix(-1)^t&0\0&(-2)^t endbmatrix, quad A^t_3=beginbmatrixdelta(t)&delta(t-1)\0&delta(t) endbmatrix,quad A^t_4=beginbmatrixdelta(t)&delta(t-1)&delta(t-2)\0&delta(t)&delta(t-1)\0&0&delta(t)endbmatrix,quad A^t_5=frac12beginbmatrix0^t+2^t&-0^t+2^t\-0^t+2^t&0^t+2^t endbmatrix$
where
$ delta(j)=0^j=left{
beginarrayll
1 textfor j = 0\
0 textfor j neq 0\
endarray
right.
$
How is this done? What kind of sorcery is this?
I've checked on the net but all I could find were tricky mathematical definitions, while I'm looking for a simple "how to".
Help me Stackexchange, you are my only hope.
linear-algebra control-theory linear-control
2
It's a capital $^T$ for transposition. OP: have you tried just writing down a few terms in the sequence? e.g. $A_1^2, A_1^3$ and seeing what you get?
â MRobinson
Sep 3 at 11:52
1
No it's not the transpose. The answers are shown below. It has to do with the response to discrete time autonomous linear systems. the "$t$" could just as well be another random variable like $"k"$ or whatever.
â user463102
Sep 3 at 11:55
@Arthur I agree, terrible idea! But look at $A_4$ and $A_4^t$, that's not how the transpose works!
â MRobinson
Sep 3 at 11:57
Have you tried diagonalisation. The first few are obvious
â Bruce
Sep 3 at 12:02
3
Compute the first powers by hand and look for a pattern.
â Yves Daoust
Sep 3 at 12:05
 |Â
show 2 more comments
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Compute the matrix $A^t$ for the following cases:
$A_1=beginbmatrix0&0\0&1endbmatrix, quad A_2=beginbmatrix-1&0\0&-2 endbmatrix, quad A_3=beginbmatrix0&1\0&0endbmatrix, quad A_4=beginbmatrix0&1&0\0&0&1\0&0&0endbmatrix, quad A_5=beginbmatrix1&1\1&1endbmatrix$
And the answers should be:
$ quad A^t_1=beginbmatrix0^t&0\0&1^t endbmatrix, quad A^t_2=beginbmatrix(-1)^t&0\0&(-2)^t endbmatrix, quad A^t_3=beginbmatrixdelta(t)&delta(t-1)\0&delta(t) endbmatrix,quad A^t_4=beginbmatrixdelta(t)&delta(t-1)&delta(t-2)\0&delta(t)&delta(t-1)\0&0&delta(t)endbmatrix,quad A^t_5=frac12beginbmatrix0^t+2^t&-0^t+2^t\-0^t+2^t&0^t+2^t endbmatrix$
where
$ delta(j)=0^j=left{
beginarrayll
1 textfor j = 0\
0 textfor j neq 0\
endarray
right.
$
How is this done? What kind of sorcery is this?
I've checked on the net but all I could find were tricky mathematical definitions, while I'm looking for a simple "how to".
Help me Stackexchange, you are my only hope.
linear-algebra control-theory linear-control
Compute the matrix $A^t$ for the following cases:
$A_1=beginbmatrix0&0\0&1endbmatrix, quad A_2=beginbmatrix-1&0\0&-2 endbmatrix, quad A_3=beginbmatrix0&1\0&0endbmatrix, quad A_4=beginbmatrix0&1&0\0&0&1\0&0&0endbmatrix, quad A_5=beginbmatrix1&1\1&1endbmatrix$
And the answers should be:
$ quad A^t_1=beginbmatrix0^t&0\0&1^t endbmatrix, quad A^t_2=beginbmatrix(-1)^t&0\0&(-2)^t endbmatrix, quad A^t_3=beginbmatrixdelta(t)&delta(t-1)\0&delta(t) endbmatrix,quad A^t_4=beginbmatrixdelta(t)&delta(t-1)&delta(t-2)\0&delta(t)&delta(t-1)\0&0&delta(t)endbmatrix,quad A^t_5=frac12beginbmatrix0^t+2^t&-0^t+2^t\-0^t+2^t&0^t+2^t endbmatrix$
where
$ delta(j)=0^j=left{
beginarrayll
1 textfor j = 0\
0 textfor j neq 0\
endarray
right.
$
How is this done? What kind of sorcery is this?
I've checked on the net but all I could find were tricky mathematical definitions, while I'm looking for a simple "how to".
Help me Stackexchange, you are my only hope.
linear-algebra control-theory linear-control
linear-algebra control-theory linear-control
asked Sep 3 at 11:47
user463102
1519
1519
2
It's a capital $^T$ for transposition. OP: have you tried just writing down a few terms in the sequence? e.g. $A_1^2, A_1^3$ and seeing what you get?
â MRobinson
Sep 3 at 11:52
1
No it's not the transpose. The answers are shown below. It has to do with the response to discrete time autonomous linear systems. the "$t$" could just as well be another random variable like $"k"$ or whatever.
â user463102
Sep 3 at 11:55
@Arthur I agree, terrible idea! But look at $A_4$ and $A_4^t$, that's not how the transpose works!
â MRobinson
Sep 3 at 11:57
Have you tried diagonalisation. The first few are obvious
â Bruce
Sep 3 at 12:02
3
Compute the first powers by hand and look for a pattern.
â Yves Daoust
Sep 3 at 12:05
 |Â
show 2 more comments
2
It's a capital $^T$ for transposition. OP: have you tried just writing down a few terms in the sequence? e.g. $A_1^2, A_1^3$ and seeing what you get?
â MRobinson
Sep 3 at 11:52
1
No it's not the transpose. The answers are shown below. It has to do with the response to discrete time autonomous linear systems. the "$t$" could just as well be another random variable like $"k"$ or whatever.
â user463102
Sep 3 at 11:55
@Arthur I agree, terrible idea! But look at $A_4$ and $A_4^t$, that's not how the transpose works!
â MRobinson
Sep 3 at 11:57
Have you tried diagonalisation. The first few are obvious
â Bruce
Sep 3 at 12:02
3
Compute the first powers by hand and look for a pattern.
â Yves Daoust
Sep 3 at 12:05
2
2
It's a capital $^T$ for transposition. OP: have you tried just writing down a few terms in the sequence? e.g. $A_1^2, A_1^3$ and seeing what you get?
â MRobinson
Sep 3 at 11:52
It's a capital $^T$ for transposition. OP: have you tried just writing down a few terms in the sequence? e.g. $A_1^2, A_1^3$ and seeing what you get?
â MRobinson
Sep 3 at 11:52
1
1
No it's not the transpose. The answers are shown below. It has to do with the response to discrete time autonomous linear systems. the "$t$" could just as well be another random variable like $"k"$ or whatever.
â user463102
Sep 3 at 11:55
No it's not the transpose. The answers are shown below. It has to do with the response to discrete time autonomous linear systems. the "$t$" could just as well be another random variable like $"k"$ or whatever.
â user463102
Sep 3 at 11:55
@Arthur I agree, terrible idea! But look at $A_4$ and $A_4^t$, that's not how the transpose works!
â MRobinson
Sep 3 at 11:57
@Arthur I agree, terrible idea! But look at $A_4$ and $A_4^t$, that's not how the transpose works!
â MRobinson
Sep 3 at 11:57
Have you tried diagonalisation. The first few are obvious
â Bruce
Sep 3 at 12:02
Have you tried diagonalisation. The first few are obvious
â Bruce
Sep 3 at 12:02
3
3
Compute the first powers by hand and look for a pattern.
â Yves Daoust
Sep 3 at 12:05
Compute the first powers by hand and look for a pattern.
â Yves Daoust
Sep 3 at 12:05
 |Â
show 2 more comments
2 Answers
2
active
oldest
votes
up vote
1
down vote
accepted
For a diagonal $ntimes n$ matrix, it is not very hard to check that
$$bigl(D(a_1,dots,a_n)bigr)^t=D(a_1^t,dots,a_n^t).$$
For $A_3$ and $A_4$, just compute the first values to find that
$$A_3^2=0,quad A_4^2=beginpmatrix0&0&1\0&0&0\0&0&0endpmatrix,quad A_4^3=0.$$
For $A_5$, you can prove by induction that $$A_5^t=beginpmatrix2^t-1&2^t-1\ 2^t-1&2^t-1endpmatrix.$$
add a comment |Â
up vote
1
down vote
Raise each matrix to powers and use math induction to prove the given results.
The notation should not bother you if you use your own notation instead of those $delta$ stuff.
Some like $A_1$ and $A_2$ are obvious and others take some time but are not too bad.
add a comment |Â
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
For a diagonal $ntimes n$ matrix, it is not very hard to check that
$$bigl(D(a_1,dots,a_n)bigr)^t=D(a_1^t,dots,a_n^t).$$
For $A_3$ and $A_4$, just compute the first values to find that
$$A_3^2=0,quad A_4^2=beginpmatrix0&0&1\0&0&0\0&0&0endpmatrix,quad A_4^3=0.$$
For $A_5$, you can prove by induction that $$A_5^t=beginpmatrix2^t-1&2^t-1\ 2^t-1&2^t-1endpmatrix.$$
add a comment |Â
up vote
1
down vote
accepted
For a diagonal $ntimes n$ matrix, it is not very hard to check that
$$bigl(D(a_1,dots,a_n)bigr)^t=D(a_1^t,dots,a_n^t).$$
For $A_3$ and $A_4$, just compute the first values to find that
$$A_3^2=0,quad A_4^2=beginpmatrix0&0&1\0&0&0\0&0&0endpmatrix,quad A_4^3=0.$$
For $A_5$, you can prove by induction that $$A_5^t=beginpmatrix2^t-1&2^t-1\ 2^t-1&2^t-1endpmatrix.$$
add a comment |Â
up vote
1
down vote
accepted
up vote
1
down vote
accepted
For a diagonal $ntimes n$ matrix, it is not very hard to check that
$$bigl(D(a_1,dots,a_n)bigr)^t=D(a_1^t,dots,a_n^t).$$
For $A_3$ and $A_4$, just compute the first values to find that
$$A_3^2=0,quad A_4^2=beginpmatrix0&0&1\0&0&0\0&0&0endpmatrix,quad A_4^3=0.$$
For $A_5$, you can prove by induction that $$A_5^t=beginpmatrix2^t-1&2^t-1\ 2^t-1&2^t-1endpmatrix.$$
For a diagonal $ntimes n$ matrix, it is not very hard to check that
$$bigl(D(a_1,dots,a_n)bigr)^t=D(a_1^t,dots,a_n^t).$$
For $A_3$ and $A_4$, just compute the first values to find that
$$A_3^2=0,quad A_4^2=beginpmatrix0&0&1\0&0&0\0&0&0endpmatrix,quad A_4^3=0.$$
For $A_5$, you can prove by induction that $$A_5^t=beginpmatrix2^t-1&2^t-1\ 2^t-1&2^t-1endpmatrix.$$
answered Sep 3 at 12:02
Bernard
112k635104
112k635104
add a comment |Â
add a comment |Â
up vote
1
down vote
Raise each matrix to powers and use math induction to prove the given results.
The notation should not bother you if you use your own notation instead of those $delta$ stuff.
Some like $A_1$ and $A_2$ are obvious and others take some time but are not too bad.
add a comment |Â
up vote
1
down vote
Raise each matrix to powers and use math induction to prove the given results.
The notation should not bother you if you use your own notation instead of those $delta$ stuff.
Some like $A_1$ and $A_2$ are obvious and others take some time but are not too bad.
add a comment |Â
up vote
1
down vote
up vote
1
down vote
Raise each matrix to powers and use math induction to prove the given results.
The notation should not bother you if you use your own notation instead of those $delta$ stuff.
Some like $A_1$ and $A_2$ are obvious and others take some time but are not too bad.
Raise each matrix to powers and use math induction to prove the given results.
The notation should not bother you if you use your own notation instead of those $delta$ stuff.
Some like $A_1$ and $A_2$ are obvious and others take some time but are not too bad.
answered Sep 3 at 12:17
Mohammad Riazi-Kermani
31.4k41853
31.4k41853
add a comment |Â
add a comment |Â
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2
It's a capital $^T$ for transposition. OP: have you tried just writing down a few terms in the sequence? e.g. $A_1^2, A_1^3$ and seeing what you get?
â MRobinson
Sep 3 at 11:52
1
No it's not the transpose. The answers are shown below. It has to do with the response to discrete time autonomous linear systems. the "$t$" could just as well be another random variable like $"k"$ or whatever.
â user463102
Sep 3 at 11:55
@Arthur I agree, terrible idea! But look at $A_4$ and $A_4^t$, that's not how the transpose works!
â MRobinson
Sep 3 at 11:57
Have you tried diagonalisation. The first few are obvious
â Bruce
Sep 3 at 12:02
3
Compute the first powers by hand and look for a pattern.
â Yves Daoust
Sep 3 at 12:05