Solution of a linear matrix differential equation
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Consider a linear matrix differential equation of the form
$$frac{mathrm{d} C}{mathrm{d} t} = A C + C A^{mathrm{T}}$$
where $C$ is a symmetric $n times n$ matrix and $A$ is a $n times n$ matrix. Find $C(t)$.
Is there a formal solution for the above equation? This is in principle linear equation if we treat the matrix $C$ and $A$ as a $n^2$ vector. However, it does not seem to be practical way to solve the problem.
This kind of differential equations for matrices is quite new to me.
Besides the formal solution let me know some books considering similar topic. Thanks.
differential-equations
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up vote
6
down vote
favorite
Consider a linear matrix differential equation of the form
$$frac{mathrm{d} C}{mathrm{d} t} = A C + C A^{mathrm{T}}$$
where $C$ is a symmetric $n times n$ matrix and $A$ is a $n times n$ matrix. Find $C(t)$.
Is there a formal solution for the above equation? This is in principle linear equation if we treat the matrix $C$ and $A$ as a $n^2$ vector. However, it does not seem to be practical way to solve the problem.
This kind of differential equations for matrices is quite new to me.
Besides the formal solution let me know some books considering similar topic. Thanks.
differential-equations
add a comment |
up vote
6
down vote
favorite
up vote
6
down vote
favorite
Consider a linear matrix differential equation of the form
$$frac{mathrm{d} C}{mathrm{d} t} = A C + C A^{mathrm{T}}$$
where $C$ is a symmetric $n times n$ matrix and $A$ is a $n times n$ matrix. Find $C(t)$.
Is there a formal solution for the above equation? This is in principle linear equation if we treat the matrix $C$ and $A$ as a $n^2$ vector. However, it does not seem to be practical way to solve the problem.
This kind of differential equations for matrices is quite new to me.
Besides the formal solution let me know some books considering similar topic. Thanks.
differential-equations
Consider a linear matrix differential equation of the form
$$frac{mathrm{d} C}{mathrm{d} t} = A C + C A^{mathrm{T}}$$
where $C$ is a symmetric $n times n$ matrix and $A$ is a $n times n$ matrix. Find $C(t)$.
Is there a formal solution for the above equation? This is in principle linear equation if we treat the matrix $C$ and $A$ as a $n^2$ vector. However, it does not seem to be practical way to solve the problem.
This kind of differential equations for matrices is quite new to me.
Besides the formal solution let me know some books considering similar topic. Thanks.
differential-equations
differential-equations
edited Nov 17 at 21:40
Rodrigo de Azevedo
12.8k41753
12.8k41753
asked Nov 23 '13 at 15:41
Sungmin
240210
240210
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1 Answer
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You can solve the differential equation as follows: write
$$frac{dC}{dt} = AC+CA^T = left(Aotimes1+1otimes A^Tright)C$$
This gives us the solution
$$C(t)=expleft(tleft(Aotimes1+1otimes A^Tright)right)C(0)$$
Notice that this is basically solving by looking at $A$ as a $n^2$-vector, as you said in the question. The nice thing with this formulation is that you notice at once that $Aotimes1$ and $1otimes A^T$ commute, and thus we have
$$expleft(tleft(Aotimes1+1otimes A^Tright)right) = expleft(tleft(Aotimes1right)right)expleft(tleft(1otimes A^Tright)right)=$$
$$=left(exp(tA)otimes1right)left(1otimes expleft(tA^Tright)right)$$
So
$$C(t) = exp(tA)C(0)expleft(tAright)^T$$
which you can easily check to be correct.
In the first equation, what is the dimension of identity matrix?
– Sungmin
Nov 24 '13 at 0:15
@Sungmin It must be $ntimes n$ for everything to make sense.
– Daniel Robert-Nicoud
Nov 24 '13 at 1:05
There seems to be an error somewhere here, the dimensions don't match in several matrices being claim as equal. Assuming by $otimes$ you mean the kronecker product, $(A otimes I)C$ has a larger dimension than AC for example. As square matrices, $Dim(A otimes I)=Dim(A)Dim(I) = n^2$ but $Dim(AC)=n$.
– Benjamin
Aug 12 '15 at 20:42
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
You can solve the differential equation as follows: write
$$frac{dC}{dt} = AC+CA^T = left(Aotimes1+1otimes A^Tright)C$$
This gives us the solution
$$C(t)=expleft(tleft(Aotimes1+1otimes A^Tright)right)C(0)$$
Notice that this is basically solving by looking at $A$ as a $n^2$-vector, as you said in the question. The nice thing with this formulation is that you notice at once that $Aotimes1$ and $1otimes A^T$ commute, and thus we have
$$expleft(tleft(Aotimes1+1otimes A^Tright)right) = expleft(tleft(Aotimes1right)right)expleft(tleft(1otimes A^Tright)right)=$$
$$=left(exp(tA)otimes1right)left(1otimes expleft(tA^Tright)right)$$
So
$$C(t) = exp(tA)C(0)expleft(tAright)^T$$
which you can easily check to be correct.
In the first equation, what is the dimension of identity matrix?
– Sungmin
Nov 24 '13 at 0:15
@Sungmin It must be $ntimes n$ for everything to make sense.
– Daniel Robert-Nicoud
Nov 24 '13 at 1:05
There seems to be an error somewhere here, the dimensions don't match in several matrices being claim as equal. Assuming by $otimes$ you mean the kronecker product, $(A otimes I)C$ has a larger dimension than AC for example. As square matrices, $Dim(A otimes I)=Dim(A)Dim(I) = n^2$ but $Dim(AC)=n$.
– Benjamin
Aug 12 '15 at 20:42
add a comment |
up vote
1
down vote
accepted
You can solve the differential equation as follows: write
$$frac{dC}{dt} = AC+CA^T = left(Aotimes1+1otimes A^Tright)C$$
This gives us the solution
$$C(t)=expleft(tleft(Aotimes1+1otimes A^Tright)right)C(0)$$
Notice that this is basically solving by looking at $A$ as a $n^2$-vector, as you said in the question. The nice thing with this formulation is that you notice at once that $Aotimes1$ and $1otimes A^T$ commute, and thus we have
$$expleft(tleft(Aotimes1+1otimes A^Tright)right) = expleft(tleft(Aotimes1right)right)expleft(tleft(1otimes A^Tright)right)=$$
$$=left(exp(tA)otimes1right)left(1otimes expleft(tA^Tright)right)$$
So
$$C(t) = exp(tA)C(0)expleft(tAright)^T$$
which you can easily check to be correct.
In the first equation, what is the dimension of identity matrix?
– Sungmin
Nov 24 '13 at 0:15
@Sungmin It must be $ntimes n$ for everything to make sense.
– Daniel Robert-Nicoud
Nov 24 '13 at 1:05
There seems to be an error somewhere here, the dimensions don't match in several matrices being claim as equal. Assuming by $otimes$ you mean the kronecker product, $(A otimes I)C$ has a larger dimension than AC for example. As square matrices, $Dim(A otimes I)=Dim(A)Dim(I) = n^2$ but $Dim(AC)=n$.
– Benjamin
Aug 12 '15 at 20:42
add a comment |
up vote
1
down vote
accepted
up vote
1
down vote
accepted
You can solve the differential equation as follows: write
$$frac{dC}{dt} = AC+CA^T = left(Aotimes1+1otimes A^Tright)C$$
This gives us the solution
$$C(t)=expleft(tleft(Aotimes1+1otimes A^Tright)right)C(0)$$
Notice that this is basically solving by looking at $A$ as a $n^2$-vector, as you said in the question. The nice thing with this formulation is that you notice at once that $Aotimes1$ and $1otimes A^T$ commute, and thus we have
$$expleft(tleft(Aotimes1+1otimes A^Tright)right) = expleft(tleft(Aotimes1right)right)expleft(tleft(1otimes A^Tright)right)=$$
$$=left(exp(tA)otimes1right)left(1otimes expleft(tA^Tright)right)$$
So
$$C(t) = exp(tA)C(0)expleft(tAright)^T$$
which you can easily check to be correct.
You can solve the differential equation as follows: write
$$frac{dC}{dt} = AC+CA^T = left(Aotimes1+1otimes A^Tright)C$$
This gives us the solution
$$C(t)=expleft(tleft(Aotimes1+1otimes A^Tright)right)C(0)$$
Notice that this is basically solving by looking at $A$ as a $n^2$-vector, as you said in the question. The nice thing with this formulation is that you notice at once that $Aotimes1$ and $1otimes A^T$ commute, and thus we have
$$expleft(tleft(Aotimes1+1otimes A^Tright)right) = expleft(tleft(Aotimes1right)right)expleft(tleft(1otimes A^Tright)right)=$$
$$=left(exp(tA)otimes1right)left(1otimes expleft(tA^Tright)right)$$
So
$$C(t) = exp(tA)C(0)expleft(tAright)^T$$
which you can easily check to be correct.
edited Nov 23 '13 at 17:52
answered Nov 23 '13 at 16:14
Daniel Robert-Nicoud
20.2k33596
20.2k33596
In the first equation, what is the dimension of identity matrix?
– Sungmin
Nov 24 '13 at 0:15
@Sungmin It must be $ntimes n$ for everything to make sense.
– Daniel Robert-Nicoud
Nov 24 '13 at 1:05
There seems to be an error somewhere here, the dimensions don't match in several matrices being claim as equal. Assuming by $otimes$ you mean the kronecker product, $(A otimes I)C$ has a larger dimension than AC for example. As square matrices, $Dim(A otimes I)=Dim(A)Dim(I) = n^2$ but $Dim(AC)=n$.
– Benjamin
Aug 12 '15 at 20:42
add a comment |
In the first equation, what is the dimension of identity matrix?
– Sungmin
Nov 24 '13 at 0:15
@Sungmin It must be $ntimes n$ for everything to make sense.
– Daniel Robert-Nicoud
Nov 24 '13 at 1:05
There seems to be an error somewhere here, the dimensions don't match in several matrices being claim as equal. Assuming by $otimes$ you mean the kronecker product, $(A otimes I)C$ has a larger dimension than AC for example. As square matrices, $Dim(A otimes I)=Dim(A)Dim(I) = n^2$ but $Dim(AC)=n$.
– Benjamin
Aug 12 '15 at 20:42
In the first equation, what is the dimension of identity matrix?
– Sungmin
Nov 24 '13 at 0:15
In the first equation, what is the dimension of identity matrix?
– Sungmin
Nov 24 '13 at 0:15
@Sungmin It must be $ntimes n$ for everything to make sense.
– Daniel Robert-Nicoud
Nov 24 '13 at 1:05
@Sungmin It must be $ntimes n$ for everything to make sense.
– Daniel Robert-Nicoud
Nov 24 '13 at 1:05
There seems to be an error somewhere here, the dimensions don't match in several matrices being claim as equal. Assuming by $otimes$ you mean the kronecker product, $(A otimes I)C$ has a larger dimension than AC for example. As square matrices, $Dim(A otimes I)=Dim(A)Dim(I) = n^2$ but $Dim(AC)=n$.
– Benjamin
Aug 12 '15 at 20:42
There seems to be an error somewhere here, the dimensions don't match in several matrices being claim as equal. Assuming by $otimes$ you mean the kronecker product, $(A otimes I)C$ has a larger dimension than AC for example. As square matrices, $Dim(A otimes I)=Dim(A)Dim(I) = n^2$ but $Dim(AC)=n$.
– Benjamin
Aug 12 '15 at 20:42
add a comment |
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