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8. LU decomposition using Gauss Elimination method example ( Enter your problem )
  1. Example `2x+5y=21,x+2y=8`
  2. Example `2x+5y=16,3x+y=11`
  3. Example `2x+3y-z=5,3x+2y+z=10,x-5y+3z=0`
  4. Example `x+y+z=3,2x-y-z=3,x-y+z=9`

2. Example `2x+5y=16,3x+y=11`





Solve Equations 2x+5y=16,3x+y=11 using LU decomposition using Gauss Elimination method

Solution:
Total Equations are `2`

`2x+5y=16 -> (1)`

`3x+y=11 -> (2)`

Now converting given equations into matrix form
`[[2,5],[3,1]] [[x],[y]]=[[16],[11]]`

Now, A = `[[2,5],[3,1]]`, X = `[[x],[y]]` and B = `[[16],[11]]`

`LU` decomposition : If we have a square matrix A, then an upper triangular matrix U can be obtained without pivoting under Gaussian Elimination method, and there exists lower triangular matrix L such that A=LU.


Here `A` = 
`2``5`
`3``1`


Using Gaussian Elimination method
`R_2 larr R_2-``(3/2)``xx R_1` `[:.L_(2,1)=color{blue}{3/2}]`

 = 
`2``5`
`0``-13/2`


`:.U` = 
`2``5`
`0``-13/2`


`L` is just made up of the multipliers we used in Gaussian elimination with 1s on the diagonal.

`:.L` = 
`1``0`
`color{blue}{3/2}``1`


`:.` LU decomposition for A is

`A` = 
`2``5`
`3``1`
 = 
`1``0`
`3/2``1`
 `xx` 
`2``5`
`0``-13/2`
 = `LU`


Now, `Ax=B`, and `A=LU => LUx=B`

let `Ux=y`, then `Ly=B =>`

`1``0`
`3/2``1`
 `xx` 
`y_1`
`y_2`
 = 
`16`
`11`


```y_1``=``16```
```3/2y_1``+``y_2``=``11```


Now use forward substitution method
From (1)
`y_1=16`

From (2)
`3/2y_1+y_2=11`

`=>(3(16))/(2)+y_2=11`

`=>24+y_2=11`

`=>y_2=11-24`

`=>y_2=-13`

Now, `Ux=y`

`2``5`
`0``-13/2`
 `xx` 
`x`
`y`
 = 
`16`
`-13`


```2x``+``5y``=``16```
`-``13/2y``=``-13```


Now use back substitution method
From (2)
`-13/2y=-13`

`=>y=-13xx-2/13=2`

From (1)
`2x+5y=16`

`=>2x+5(2)=16`

`=>2x+10=16`

`=>2x=16-10`

`=>2x=6`

`=>x=(6)/(2)=3`

Solution by LU decomposition method is
`x=3 and y=2`




This material is intended as a summary. Use your textbook for detail explanation.
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