Reformulating a high-rank linear system into a block-matrix equationMatrix identity for symmetric block matrixDifferences between methods for solving linear equation systemLinear algebra question on rank and null spacesolve linear system using gaussian eliminationSolving a linear system with one more unknown than equationsDo two nonsingular matrices exist such that this linear system can be solved?Understanding solution of system of linear equationsSystem of linear simultaneous equationsRank of block triangular matrixModeling a linear system with unknown offset
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Reformulating a high-rank linear system into a block-matrix equation
Matrix identity for symmetric block matrixDifferences between methods for solving linear equation systemLinear algebra question on rank and null spacesolve linear system using gaussian eliminationSolving a linear system with one more unknown than equationsDo two nonsingular matrices exist such that this linear system can be solved?Understanding solution of system of linear equationsSystem of linear simultaneous equationsRank of block triangular matrixModeling a linear system with unknown offset
$begingroup$
I have on my hands a linear system of equations of the following form
$$
sum_j=1^Ksum_q=1^N A_ijpq x_jq = b_ip quad(i=1dots K,p=1dots N)
$$
in which the $x_jq$ are unknown and the rest are given data.
I would like to recast this in the form $tilde Atilde x=tilde b$, where $tilde A$ is a $KN$-by-$KN$ matrix and $tilde x$ and $tilde b$ are each vectors of length $KN$. If I fix $K$ and $N$ to concrete values, I can work out by hand what $tilde A$, $tilde x$, and $tilde b$ should be. I am having trouble seeing the generalization for arbitrary $K$ and $N$. Surely there is one, though. What is it?
linear-algebra matrices block-matrices
$endgroup$
add a comment |
$begingroup$
I have on my hands a linear system of equations of the following form
$$
sum_j=1^Ksum_q=1^N A_ijpq x_jq = b_ip quad(i=1dots K,p=1dots N)
$$
in which the $x_jq$ are unknown and the rest are given data.
I would like to recast this in the form $tilde Atilde x=tilde b$, where $tilde A$ is a $KN$-by-$KN$ matrix and $tilde x$ and $tilde b$ are each vectors of length $KN$. If I fix $K$ and $N$ to concrete values, I can work out by hand what $tilde A$, $tilde x$, and $tilde b$ should be. I am having trouble seeing the generalization for arbitrary $K$ and $N$. Surely there is one, though. What is it?
linear-algebra matrices block-matrices
$endgroup$
add a comment |
$begingroup$
I have on my hands a linear system of equations of the following form
$$
sum_j=1^Ksum_q=1^N A_ijpq x_jq = b_ip quad(i=1dots K,p=1dots N)
$$
in which the $x_jq$ are unknown and the rest are given data.
I would like to recast this in the form $tilde Atilde x=tilde b$, where $tilde A$ is a $KN$-by-$KN$ matrix and $tilde x$ and $tilde b$ are each vectors of length $KN$. If I fix $K$ and $N$ to concrete values, I can work out by hand what $tilde A$, $tilde x$, and $tilde b$ should be. I am having trouble seeing the generalization for arbitrary $K$ and $N$. Surely there is one, though. What is it?
linear-algebra matrices block-matrices
$endgroup$
I have on my hands a linear system of equations of the following form
$$
sum_j=1^Ksum_q=1^N A_ijpq x_jq = b_ip quad(i=1dots K,p=1dots N)
$$
in which the $x_jq$ are unknown and the rest are given data.
I would like to recast this in the form $tilde Atilde x=tilde b$, where $tilde A$ is a $KN$-by-$KN$ matrix and $tilde x$ and $tilde b$ are each vectors of length $KN$. If I fix $K$ and $N$ to concrete values, I can work out by hand what $tilde A$, $tilde x$, and $tilde b$ should be. I am having trouble seeing the generalization for arbitrary $K$ and $N$. Surely there is one, though. What is it?
linear-algebra matrices block-matrices
linear-algebra matrices block-matrices
edited Mar 28 at 17:04
Rodrigo de Azevedo
13.1k41960
13.1k41960
asked Mar 21 at 15:05
EndulumEndulum
1566
1566
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
This turns out to be quite easy to do if one introduces new "super-indices" that run from $1dots KN$ according to some ordering convention (i.e., row- versus column-major). For instance, defining
$$
(ip) = i + K(p-1) \
(jq) = j + K(q-1)
$$
allows the tensor equation in question to be recast from
$$
sum_j=1^Ksum_q=1^N A_ijpqx_jq = b_ip qquad (i=1dots K, p=1dots N)
$$
to the matrix equation
$$
sum_(jq)=1^KN tilde A_(ip),(jq) tilde x_(jq) = tilde b_(ip) qquad ((jq)=1..KN)
$$
with the correspondence $tilde A_(i,p),(j,q) = A_ijpq$, etc.
$endgroup$
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
This turns out to be quite easy to do if one introduces new "super-indices" that run from $1dots KN$ according to some ordering convention (i.e., row- versus column-major). For instance, defining
$$
(ip) = i + K(p-1) \
(jq) = j + K(q-1)
$$
allows the tensor equation in question to be recast from
$$
sum_j=1^Ksum_q=1^N A_ijpqx_jq = b_ip qquad (i=1dots K, p=1dots N)
$$
to the matrix equation
$$
sum_(jq)=1^KN tilde A_(ip),(jq) tilde x_(jq) = tilde b_(ip) qquad ((jq)=1..KN)
$$
with the correspondence $tilde A_(i,p),(j,q) = A_ijpq$, etc.
$endgroup$
add a comment |
$begingroup$
This turns out to be quite easy to do if one introduces new "super-indices" that run from $1dots KN$ according to some ordering convention (i.e., row- versus column-major). For instance, defining
$$
(ip) = i + K(p-1) \
(jq) = j + K(q-1)
$$
allows the tensor equation in question to be recast from
$$
sum_j=1^Ksum_q=1^N A_ijpqx_jq = b_ip qquad (i=1dots K, p=1dots N)
$$
to the matrix equation
$$
sum_(jq)=1^KN tilde A_(ip),(jq) tilde x_(jq) = tilde b_(ip) qquad ((jq)=1..KN)
$$
with the correspondence $tilde A_(i,p),(j,q) = A_ijpq$, etc.
$endgroup$
add a comment |
$begingroup$
This turns out to be quite easy to do if one introduces new "super-indices" that run from $1dots KN$ according to some ordering convention (i.e., row- versus column-major). For instance, defining
$$
(ip) = i + K(p-1) \
(jq) = j + K(q-1)
$$
allows the tensor equation in question to be recast from
$$
sum_j=1^Ksum_q=1^N A_ijpqx_jq = b_ip qquad (i=1dots K, p=1dots N)
$$
to the matrix equation
$$
sum_(jq)=1^KN tilde A_(ip),(jq) tilde x_(jq) = tilde b_(ip) qquad ((jq)=1..KN)
$$
with the correspondence $tilde A_(i,p),(j,q) = A_ijpq$, etc.
$endgroup$
This turns out to be quite easy to do if one introduces new "super-indices" that run from $1dots KN$ according to some ordering convention (i.e., row- versus column-major). For instance, defining
$$
(ip) = i + K(p-1) \
(jq) = j + K(q-1)
$$
allows the tensor equation in question to be recast from
$$
sum_j=1^Ksum_q=1^N A_ijpqx_jq = b_ip qquad (i=1dots K, p=1dots N)
$$
to the matrix equation
$$
sum_(jq)=1^KN tilde A_(ip),(jq) tilde x_(jq) = tilde b_(ip) qquad ((jq)=1..KN)
$$
with the correspondence $tilde A_(i,p),(j,q) = A_ijpq$, etc.
answered Mar 28 at 17:02
EndulumEndulum
1566
1566
add a comment |
add a comment |
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