Find LU-Factorization of A with 1's Along Main Diagonal of L

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  • Thread starter skoker
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In summary, the LU-factorization of $A=\begin{bmatrix} a\ b\ \; \\ c\ d\ \; \end{bmatrix}$ has 1's along the main diagonal of L. The main restriction is that $a$ must not equal 0. However, in general for $A\in\mathbb{R}^{n\times n}$ invertible, the factorization $PA=LU$ can be obtained with a permutation matrix $P$.
  • #1
skoker
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find the LU-factorization of $A=\begin{bmatrix} a\ b\ \; \\ c\ d\ \; \end{bmatrix}$ that has 1's along the main diagonal of L.are there restrictions on the matrix A?\( A=\begin{bmatrix} \;a\ b\ \; \\ \;c\ d\ \; \end{bmatrix} \)

\( U=-\frac{c}{a}r_1+r_2\rightarrow r_2\begin{bmatrix} \;a\ b\ \; \\ \;0\ d-cb\ \; \end{bmatrix}
=\underset{E_1}{\begin{bmatrix} \;1\ 0\ \; \\ \;-\frac{c}{a}\ 1\ \; \end{bmatrix}}.\underset{A}{\begin{bmatrix} \;a\ b\ \; \\ \;c\ d\ \; \end{bmatrix}} \)

\( L=\underset{E^{-1}_1}{\begin{bmatrix} \;1\ 0\ \; \\ \;\frac{c}{a}\ 1\ \; \end{bmatrix}} \)

\( \therefore A=LU \)

first does this satisfy the the a=lu? also i am not sure the restrictions they are talking about? it seems to have no restrictions.
 
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  • #2
The obvious restriction in that factorisation is that you must have $a\ne 0$.
 
  • #3
that is true. i can not think of any of the matrix properties that would be a restriction with \( abcd \quad n \times n \). A is consistent and invertible. so i would not have any problems i think.
 
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  • #4
In general for $A\in\mathbb{R}^{n\times n}$ invertible we can get the factorization $PA=LU$ were $P$ is a permutation matrix. In our case, if $a=0$ then, $c\neq 0$ and you can choose $P=\begin{bmatrix}{0}&{1}\\{1}&{0}\end{bmatrix}$ .
 
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  • #5


Yes, this satisfies the A=LU factorization since we have shown that A can be written as the product of a lower triangular matrix L and an upper triangular matrix U. The only restriction on this factorization is that the matrix A must be invertible, meaning that its determinant must not equal zero. This is because in order to find the LU factorization, we need to perform row operations on A, and row operations can only be performed on invertible matrices.
 

FAQ: Find LU-Factorization of A with 1's Along Main Diagonal of L

1. What is LU-Factorization?

LU-Factorization is a method used in linear algebra to decompose a matrix into the product of a lower triangular matrix (L) and an upper triangular matrix (U).

2. What are the advantages of LU-Factorization?

LU-Factorization can be used to efficiently solve systems of linear equations, particularly when the same matrix needs to be inverted multiple times. It also allows for easier computation of determinants and inverses of matrices.

3. How do you find LU-Factorization with 1's along the main diagonal of L?

To find LU-Factorization with 1's along the main diagonal of L, we use a modified version of the standard LU-Factorization algorithm. We start by setting all elements along the main diagonal of L to 1, and then proceed with the algorithm as usual.

4. Can any matrix be decomposed using LU-Factorization?

No, not all matrices can be decomposed using LU-Factorization. A matrix must be square and have linearly independent columns in order for it to be decomposed using this method.

5. What is the significance of 1's along the main diagonal of L in LU-Factorization?

Having 1's along the main diagonal of L makes the computation of the factorization easier and more efficient. It also has the added benefit of making the resulting matrices more intuitive to work with, as the diagonal elements of L represent the scaling factors for each row in the original matrix.

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