How to solve this linear matrix equation
I have an equation with one unknown matrix variable $mathbf{M}$:
$$
frac{1}{2}operatorname{vec}(mathbf{W})^T(mathbf{V} otimes mathbf{U})operatorname{vec}(mathbf{M}) + frac{1}{2}operatorname{vec}(mathbf{M})^T(mathbf{V} otimes mathbf{U})operatorname{vec}(mathbf{W})
$$
$$
= frac{1}{tau^2}operatorname{vec}(mathbf{W})^Toperatorname{vec}(mathbf{W}_0)+frac{1}{sigma^2}operatorname{vec}(mathbf{T})^Toperatorname{vec}(mathbf{WX}),
$$
where $otimes$ denotes the Kroenecker product.
I know that
$$
mathbf{V} otimes mathbf{U} = left(frac{1}{tau^2}mathbf{I}_q + frac{1}{sigma^2}mathbf{X}mathbf{X}^Tright)otimes mathbf{I}_D.
$$
And $mathbf{W}$ should somehow disappear out of the equation.
$mathbf{X}$, $mathbf{T}$, $mathbf{W}_0$, $tau$ and $sigma$ are known.
How can I solve for $mathbf{M}$ (ideally unvectorized $mathbf{M}$)?
ADDITIONAL INFORMATION: I know from my application that $mathbf{V} otimes mathbf{U}$ is symmetric.
linear-algebra matrix-equations
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I have an equation with one unknown matrix variable $mathbf{M}$:
$$
frac{1}{2}operatorname{vec}(mathbf{W})^T(mathbf{V} otimes mathbf{U})operatorname{vec}(mathbf{M}) + frac{1}{2}operatorname{vec}(mathbf{M})^T(mathbf{V} otimes mathbf{U})operatorname{vec}(mathbf{W})
$$
$$
= frac{1}{tau^2}operatorname{vec}(mathbf{W})^Toperatorname{vec}(mathbf{W}_0)+frac{1}{sigma^2}operatorname{vec}(mathbf{T})^Toperatorname{vec}(mathbf{WX}),
$$
where $otimes$ denotes the Kroenecker product.
I know that
$$
mathbf{V} otimes mathbf{U} = left(frac{1}{tau^2}mathbf{I}_q + frac{1}{sigma^2}mathbf{X}mathbf{X}^Tright)otimes mathbf{I}_D.
$$
And $mathbf{W}$ should somehow disappear out of the equation.
$mathbf{X}$, $mathbf{T}$, $mathbf{W}_0$, $tau$ and $sigma$ are known.
How can I solve for $mathbf{M}$ (ideally unvectorized $mathbf{M}$)?
ADDITIONAL INFORMATION: I know from my application that $mathbf{V} otimes mathbf{U}$ is symmetric.
linear-algebra matrix-equations
add a comment |
I have an equation with one unknown matrix variable $mathbf{M}$:
$$
frac{1}{2}operatorname{vec}(mathbf{W})^T(mathbf{V} otimes mathbf{U})operatorname{vec}(mathbf{M}) + frac{1}{2}operatorname{vec}(mathbf{M})^T(mathbf{V} otimes mathbf{U})operatorname{vec}(mathbf{W})
$$
$$
= frac{1}{tau^2}operatorname{vec}(mathbf{W})^Toperatorname{vec}(mathbf{W}_0)+frac{1}{sigma^2}operatorname{vec}(mathbf{T})^Toperatorname{vec}(mathbf{WX}),
$$
where $otimes$ denotes the Kroenecker product.
I know that
$$
mathbf{V} otimes mathbf{U} = left(frac{1}{tau^2}mathbf{I}_q + frac{1}{sigma^2}mathbf{X}mathbf{X}^Tright)otimes mathbf{I}_D.
$$
And $mathbf{W}$ should somehow disappear out of the equation.
$mathbf{X}$, $mathbf{T}$, $mathbf{W}_0$, $tau$ and $sigma$ are known.
How can I solve for $mathbf{M}$ (ideally unvectorized $mathbf{M}$)?
ADDITIONAL INFORMATION: I know from my application that $mathbf{V} otimes mathbf{U}$ is symmetric.
linear-algebra matrix-equations
I have an equation with one unknown matrix variable $mathbf{M}$:
$$
frac{1}{2}operatorname{vec}(mathbf{W})^T(mathbf{V} otimes mathbf{U})operatorname{vec}(mathbf{M}) + frac{1}{2}operatorname{vec}(mathbf{M})^T(mathbf{V} otimes mathbf{U})operatorname{vec}(mathbf{W})
$$
$$
= frac{1}{tau^2}operatorname{vec}(mathbf{W})^Toperatorname{vec}(mathbf{W}_0)+frac{1}{sigma^2}operatorname{vec}(mathbf{T})^Toperatorname{vec}(mathbf{WX}),
$$
where $otimes$ denotes the Kroenecker product.
I know that
$$
mathbf{V} otimes mathbf{U} = left(frac{1}{tau^2}mathbf{I}_q + frac{1}{sigma^2}mathbf{X}mathbf{X}^Tright)otimes mathbf{I}_D.
$$
And $mathbf{W}$ should somehow disappear out of the equation.
$mathbf{X}$, $mathbf{T}$, $mathbf{W}_0$, $tau$ and $sigma$ are known.
How can I solve for $mathbf{M}$ (ideally unvectorized $mathbf{M}$)?
ADDITIONAL INFORMATION: I know from my application that $mathbf{V} otimes mathbf{U}$ is symmetric.
linear-algebra matrix-equations
linear-algebra matrix-equations
edited Nov 26 at 22:35
Davide Giraudo
125k16150259
125k16150259
asked Nov 18 at 14:58
Sandi
18811
18811
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