- A Solved problem 9-5 LU decomposition.
- Step-1-Derive the expression for U1 and L1 matrices for the Solved problem 9-5 LU decomposition.
- Step-2-Derive the expression for U and L matrices for the Solved problem 9-5 LU decomposition.
- Step-3-Derive the expression for the inverse matrices L-1 and U-1 for the Solved problem 9-5 LU decomposition.
- Step-4-Derive the value for the C matrix for the Solved problem 9-5 LU decomposition.
- Step-5-get the values for x1, x2, x3 for the X-matrix for the Solved problem 9-5 LU decomposition.

## A Solved problem 9-5 LU decomposition.

This solved problem 9.5 from Prof. Chapra’s reference book Numerical Methods for Engineers.

It is required to solve three simultaneous equations by the Lu decomposition for a 3×3 matrix, we are going to solve this problem by using LU factorization(decomposition).

Matrix A is the matrix for the variables which are (3×3), the first row(3 -0.10 -0.20) will be reserved for (U11 u12 u13) elements for the Upper matrix U1.

Step-1-Derive the expression for U1 and L1 matrices for the Solved problem 9-5 LU decomposition.

For the upper matrix U1, we have the first row set as(3 -0.10 -0.20), being an upper matrix (U21 and U21 should be =0, This is done by using a factor (-a21/a11) and factor (-a32/a11).

The first factor is to be multiplied by R1 and added to R2. While the second factor will be multiplied by R1 and added to R3.

As we can see from the next slide image: (-a21/a11)=-(0.10/3). multiply by R1+R2, then for U21=-(0.10/3)*3+0.10=0. While for u22=(-010/3)*-0.10+7=7.003. for u23=(-010/3)*-0.20+(-0.30)=-0.2933.

For the elements of lower matrix L1, we have a diagonal of +1, and the upper elements l11=l12=l13=0. For L21=-(-a21/a11)=+0.033, l31=-1*(-a33/a11)=-1*(-0.30/3)=+0.1. The unknown element is l23 that element will be estimated i the next step.

### Step-2-Derive the expression for U and L matrices for the Solved problem 9-5 LU decomposition.

For u32 to be zero, multiply by (+0.19/7.003), using 7.003 as a pivot, then multiply by R2 and add to R33, u32=(0.19/7.003)*7.003+(-0.19)=0. The reversed sign for this factor(-0.19/7.003) will be the value of L32=-0.027.

The element of L2 will be the final elements for L matrix as(1 0 0, 0 1 0, 0.10 -0.027 1). The elements of the U2 matrix will be the final elements for the U matrix as (3 -0.10 -0.20, 0 0 0, 0 1 0, 0.10 -0.027 1).

### Step-3-Derive the expression for the inverse matrices L-1 and U-1 for the Solved problem 9-5 LU decomposition.

### Step-4-Derive the value for the C matrix for the Solved problem 9-5 LU decomposition.

The matrix A can be represented as the product of L*U, or the lower matrix multiplied by the upper matrix. we need to get the inverse matrix L-1 and also the inverse matrix u-1.

We can find out the elements of these two inverted matrices by using an Excel sheet as shown in the next slide image.

Now for the expression of A*X=B, since A=L*U, So A*X=L*U*X=B. Consider U*X=C, while L* C=B, we can get the elements of matrix C by multiplying both sides by the invert matrix L-1.

L-1*B=( 1 0 0, -0.03333 1 0, -0.100904 0.027129 1) by (7.85 -19.3 71.40). this will create a matrix C (3×1) matrix which can be presented as ( 7.85 -19.5617 70.0842).

### Step-5-get the values for x1, x2, x3 for the X-matrix for the Solved problem 9-5 LU decomposition.

After we have obtained the values for the C matrix, we will consider the expression of U*X=C, and multiply both sides by U-1, so we can get the value of the X matrix which is the (3×1) matrix. The invert matrix U-1 is (0.3333 0.00475 0.006793,0 0.142789 0.00418, 0 0 0.0998). This matrix is to be multiplied by the C matrix. The final value of X – the matrix can be estimated as a (3×1) matrix, (2.9996 -2.5002 6.99444).

This solution is very close to the solution of Prof. Chapra solution is shown in the last slide image.

This is the pdf file used for the illustration of this post.

The next post: Step-by-step Introduction to Crout’s LU decomposition for a 2×2 matrix.

This is the Omni calculator for estimating various items of linear algebra -LU Decomposition Calculator.

This is a link to another –Calculator for matrices.