[[
wikihub
]]
Search
⌘K
Explore
People
For Agents
Sign in
Explore
People
For Agents
Sign in
@jemoka / Jemoka Knowledge Base / wiki/concepts/lu_factorization.md
Suggest edit
Cancel
Submit suggestion
Title
Name
Note
--- title: "LU-Factorization" type: concept related: [Elimination Matrix] source: https://www.jemoka.com/posts/kbhlu_factorization/ confidence: high status: active --- Elimination Matricies can be used to derive a LU factorization: First, this gives an upper triangular matrix \begin{equation} U = M_{n-1, n-1} \dots M_{22} M_{11} A \end{equation} We can also create the inverses of each of these: \begin{equation} A = L_{11} L_{22} \dots L_{n-1,n-1} \cdot M_{n-1,n-1} \dots M_{22} \cdot M_{11} \cdot A \end{equation} The first half \(L_{j}\) composes a lower triangular matrix; the second half \(M_{j}\) which composes a upper triangular matrix. Then, this helps solve: \begin{equation} Ac = b \end{equation} Because we can factor first to: \begin{equation} \qty(LU) c = b \end{equation} Then, this makes it really easy to solve, because we can. \begin{equation} \hat{c} = Uc \end{equation} then, we can solve \(L\hat{c} = b\) using forward substitution; then we can solve \(Uc = \hat{c}\) using back substitution. Notice that for every new \(b\), we don’t need to perform Gaussian elimination.