JeSuisConf
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Hi everyone. I have this problem which I am trying to formulate. Basically, I have the following linear constraints:
<br /> p_{11} = 2<br />
<br /> p_{22} = 5<br />
<br /> p_{33}+2p_{12}=-1<br />
<br /> 2p_{13} =2<br />
<br /> 2p_{23} = 0<br />
And these are for the symmetric matrix
<br /> \mathbf{P} =<br /> \left( \begin{array}{ccc}<br /> p_{11} & p_{12} & p_{13} \\<br /> p_{12} & p_{22} & p_{23} \\<br /> p_{13} & p_{23} & p_{33} \end{array} \right)<br />
I would like to formulate a way to represent the linear constraints and \mathbf{P} as a matrix at the same time.
I can do this using \mathbf{P} or a vector of the entries of \mathbf{P}. The linear constraints are easy if I use a vector (\mathbf{Ap}=\mathbf{b}, but then I don't know how to represent \mathbf{P} as a matrix from the vector! And if I leave \mathbf{P} as a matrix, all the constraints are easy to formulate except p_{33}+2p_{12}=-1. Can anyone help me figure this out?
If anyone's curious, I'm trying to solve for \mathbf{P} over the cone of PSD matrices using SDP. But I am entirely new to SDP and I'm scratching my head formulating this problem. I feel stupid right now :'(
<br /> p_{11} = 2<br />
<br /> p_{22} = 5<br />
<br /> p_{33}+2p_{12}=-1<br />
<br /> 2p_{13} =2<br />
<br /> 2p_{23} = 0<br />
And these are for the symmetric matrix
<br /> \mathbf{P} =<br /> \left( \begin{array}{ccc}<br /> p_{11} & p_{12} & p_{13} \\<br /> p_{12} & p_{22} & p_{23} \\<br /> p_{13} & p_{23} & p_{33} \end{array} \right)<br />
I would like to formulate a way to represent the linear constraints and \mathbf{P} as a matrix at the same time.
I can do this using \mathbf{P} or a vector of the entries of \mathbf{P}. The linear constraints are easy if I use a vector (\mathbf{Ap}=\mathbf{b}, but then I don't know how to represent \mathbf{P} as a matrix from the vector! And if I leave \mathbf{P} as a matrix, all the constraints are easy to formulate except p_{33}+2p_{12}=-1. Can anyone help me figure this out?
If anyone's curious, I'm trying to solve for \mathbf{P} over the cone of PSD matrices using SDP. But I am entirely new to SDP and I'm scratching my head formulating this problem. I feel stupid right now :'(