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Solving a quadratic matrix equation with non-squaredfat matrix

I wasam trying to solve the problem of finding the value of a non-squared matrixfind an $T$$n \times m$ fat ($n \times m$i.e., $m > n$) whichmatrix $T$ that solves

$$ T^T T = X$$$$T^T T = X$$

where $X$ is a given $m \times m$ symmetric and, positive semidefinite $m \times m$ matrix, and $m > n$.

I saw this post (Solving a quadratic matrix equationthis post), but unfortunately it seems that no solution was yet found and $T$ in that case is squared, which is not my case.

I know that ifIf $T$ would be squaredwere square, one could use the Cholesky decomposition and find $Z$ such that $X = Z^T Z$ and assign $T = Z$. Unfortunately, I cannot do this since the Cholesky decomposition always gives squaredproduces a square $Z$.

I was trying to solve the problem of finding the value of a non-squared matrix $T$ ($n \times m$) which solves

$$ T^T T = X$$

where $X$ is a symmetric and positive semidefinite $m \times m$ matrix, and $m > n$.

I saw this post (Solving a quadratic matrix equation) but unfortunately it seems that no solution was yet found and $T$ in that case is squared, which is not my case.

I know that if $T$ would be squared, one could use the Cholesky decomposition and find that $X = Z^T Z$ and assign $T = Z$. Unfortunately I cannot do this since the Cholesky decomposition always gives squared $Z$.

I am trying to find an $n \times m$ fat (i.e., $m > n$) matrix $T$ that solves

$$T^T T = X$$

where $X$ is a given $m \times m$ symmetric, positive semidefinite matrix.

I saw this post, but unfortunately it seems that no solution was yet found and $T$ in that case is squared, which is not my case.

If $T$ were square, one could use the Cholesky decomposition and find $Z$ such that $X = Z^T Z$. Unfortunately, I cannot do this since the Cholesky decomposition always produces a square $Z$.

replaced http://mathoverflow.net/ with https://mathoverflow.net/
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I was trying to solve the problem of finding the value of a non-squared matrix $T$ ($n \times m$) which solves

$$ T^T T = X$$

where $X$ is a symmetric and positive semidefinite $m \times m$ matrix, and $m > n$.

I saw this post (Solving a quadratic matrix equationSolving a quadratic matrix equation) but unfortunately it seems that no solution was yet found and $T$ in that case is squared, which is not my case.

I know that if $T$ would be squared, one could use the Cholesky decomposition and find that $X = Z^T Z$ and assign $T = Z$. Unfortunately I cannot do this since the Cholesky decomposition always gives squared $Z$.

I was trying to solve the problem of finding the value of a non-squared matrix $T$ ($n \times m$) which solves

$$ T^T T = X$$

where $X$ is a symmetric and positive semidefinite $m \times m$ matrix, and $m > n$.

I saw this post (Solving a quadratic matrix equation) but unfortunately it seems that no solution was yet found and $T$ in that case is squared, which is not my case.

I know that if $T$ would be squared, one could use the Cholesky decomposition and find that $X = Z^T Z$ and assign $T = Z$. Unfortunately I cannot do this since the Cholesky decomposition always gives squared $Z$.

I was trying to solve the problem of finding the value of a non-squared matrix $T$ ($n \times m$) which solves

$$ T^T T = X$$

where $X$ is a symmetric and positive semidefinite $m \times m$ matrix, and $m > n$.

I saw this post (Solving a quadratic matrix equation) but unfortunately it seems that no solution was yet found and $T$ in that case is squared, which is not my case.

I know that if $T$ would be squared, one could use the Cholesky decomposition and find that $X = Z^T Z$ and assign $T = Z$. Unfortunately I cannot do this since the Cholesky decomposition always gives squared $Z$.

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jaraujo
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jaraujo
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