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In the [[mathematics | mathematical]] discipline of [[linear algebra]], a '''triangular matrix''' is a special kind of [[
Because [[Matrix_(mathematics)|matrix]] equations with triangular matrices are easy to solve they are very important in [[numerical analysis]]. The [[LU decomposition]] gives an algorithm to decompose any [[invertible matrix]] ''A'' into a normed lower triangle matrix ''L'' and an upper triangle matrix ''U''.
== Definition ==
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l_{3,1} & l_{3,2} & \ddots & & \\
\vdots & \vdots & \ddots & \ddots & \\
l_{
\end{pmatrix}
</math>
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:<math> \mathbf{U} =
\begin{pmatrix}
u_{1,1} & u_{1,2} & u_{1,3} & \ldots & u_{1,
& u_{2,2} & u_{2,3} & \ldots & u_{2,
& & \ddots & \ddots & \vdots \\
& & & \ddots & u_{
0 & & & & u_{
\end{pmatrix}
</math>
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l_{3,1} & l_{3,2} & \ddots & & \\
\vdots & \vdots & \ddots & \ddots & \\
l_{
\end{pmatrix}
</math>
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:<math> \mathbf{U} =
\begin{pmatrix}
1 & u_{1,2} & u_{1,3} & \ldots & u_{1,
& 1 & u_{2,3} & \ldots & u_{2,
& & \ddots & \ddots & \vdots \\
& & & \ddots & u_{
0 & & & & 1
\end{pmatrix}
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The matrix
:<math> \mathbf{L}
\begin{pmatrix}
1 & & & & & 0 \\
& \ddots & & & & \\
& & 1 & & & \\
& & l_{
& & \vdots & & \ddots & \\
0 & & l_{
\end{pmatrix}
</math>
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Analogously the matrix
:<math> \mathbf{U}
\begin{pmatrix}
1 & & & l_{1,
& \ddots & & \vdots & & \\
& & \ddots & l_{
& & & 1 & & \\
& & & & \ddots & \\
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