1. CALCULUS – II Gauss Eliminationby
Dr. Eman Saad
&
Dr. Shorouk Ossama

2. Gauss Elimination:
We need write the equations in form of augmented matrix for the system. The fourth column consists of the constant on the right- hand sides.

3. The elementary operations referred to previously become elementary row operations on the matrix. The final matrix is said to be in echelon form: that is, it has zeros below the diagonal elements starting from the top left. We can solve the equations by back substation.

4. Examples For Echelon Form :
The following matrices are in reduced row echelon form.

5. The following matrices are in row echelon form but not reduced row echelon form.

6. Example: Find the solution by using gauss elimination
2 R1 + R2 = R`2
- R1 + R3 = R`3
R1 - R3 = R`1
-(1/7) R3 + R2 = R`2
-(2/7) R2 + R3 = R`3
(-2) R2 + R1 = R`1
(7/23) R3 = R`3
(1/7) R2 = R`2
by back substation
x3 = 2
x2 = -1
x1 = 1 4 1 2 5 3

7. back substation Three Equations: 0 + 0 + Z = 2 0 + Y + 0 = -1X Y Z =
back substation
Three Equations:
Z = 2
0 + Y + 0 = -1
X = 1

8. Example: Using gauss elimination & back substitution, solve the set of equations
-2 R1 + R2 = R`2
(-2/3) R3 + R4 = R`4
R2↔R3
(-1/3) R3 = R`3
(3/5) R4 = R`4
R4 – R2= R`4
x4 = 3
x3 = 2
x2 = 1
x1 = -1 2 5 3 6
/3 5 4

9. 0 0 0 1 3 back substation 0 + 0 + 0 + X4 = 3 0 + 0 + X3 + 1/3 X4 = 3
back substation
X4 = 3
X3 + 1/3 X4 = 3
0 + X2 + X3 + X4 = 6
X1 + X2 + 2X3 + 0 = 4

10. For two equations in two unknowns the occurrences of unique solutions are easy to detect.
For higher-order sets of equations these possibilities are not so obvious.
Consider the set of equations:
det A = = zero

11. So the Cramer’s Rule will fail, although there still may be solutions.
We can determine whether solutions exist more readily by using Gaussian Elimination.
In this case the application of row operations on the augmented matrix leads to:

12. Row 3 is impossible to be satisfied
-2 R1 + R2 = R`2
- R1 + R3 = R`3
By Back Substation
Row 3 is impossible to be satisfied
0 = 1
No Solution
(-1/2) R2 + R3 = R`3 1 2 6 4

13. Infinite Number of Solution
-2 R1 + R2 = R`2
- R1 + R3 = R`3
By Back Substation
Row 3 is consistent
Row 2 is -4y+6z=2
Hence, y = -1/4 ( 2 – 6z )
From Row 1, X = 1 – y + z
= 3/2 – ½ z
Thus, z can take any value, say t
So the full solution set is:
(-1/2) R2 + R3 = R`3 1 2
Infinite Number of Solution

14. Then y and x can be found by back substitution row2 and 1
Advantage of using gauss elimination more than cramer’s rule when the number of equations differs from the number of unknowns.
-3 R1 + R2 = R`1
R1 + R3 = R`3
- R1 + R4 = R`4
Row 4 is consistent,
while row 3 is implies z=3.
Then y and x can be found by back substitution row2 and 1
So: y= 4 , x=0
(-1/2) R2 + R3 = R`3 1 2 /2

15. The system is inconsistent
Show that the following equations are inconsistent:
- R1 + R2 = R`2
3 R1 + R3 = R`3
Row 3, 0 ≠ 2
The system is inconsistent
-2 R2 + R3 = R`3 1 2

16. Determine the complete sets of values for a and b which make the equations :
-2 R1 + R2 = R`2
R1 + R3 = R`3
System has unique solution if:
a ≠ -1, then z= (b-1/a+1)
2. System is inconsistency if:
a = -1 and b ≠ 1
3. System has infinite solutions
If: a = -1 and b = 1
- R2 + R3 = R`3 1
1 a b 2
a+1 b-1

17. Homogeneous Linear Systems: A system of linear equations is said to be homogeneous if the constant terms are all zero; that is, the system has the form: Every homogeneous system of linear equations is consistent because all such systems have x1=0,x2=0,…,xn=0 as a solution. This solution is called the trivial solution; if there are other solutions, they are called non-trivial solutions.

18. Because a homogeneous linear system always has the trivial solution, there are only two possibilities for its solutions: • The system has only the trivial solution. • The system has infinitely many solutions in addition to the trivial solution. In the special case of a homogeneous linear system of two equations in two unknowns, say: the graphs of the equations are lines through the origin, and the trivial solution corresponds to the point of intersection at the origin.

19. After solving the system, the corresponding system of equations is:
Solving for the leading variables we obtain:
Note that the trivial solution results when
r = s = t = 0

20. Any set of equations AX=0 is known as a homogeneous set; it is a set of linear equations with zero right-hand sides. So the equations always have trivial solution x=o, but there may exist non-trivial solutions. What are the conditions for their existence.

21. System is non-trivial solutions if and if only:
- R1 + R2 = R`2
R1 + R3 = R`3
System is non-trivial solutions if and if only:
a = 5, put z= t
By back substitution
Y – Z = 0
Y = z = t
So, x = -y –z = -2t
For any t
the solution is
non-trivial
if t ≠ 0
4 R2 + R3 = R`3 1
-3 a 0 2 a

22. We therefore have the following test:
For Homogeneous equations AX = 0, where A is square:
If det A = 0, there is an infinite number of non-trivial solutions.
det A ≠ 0, No solution ( trivial solution ).

23. Non-Homogeneous System AX = b
The system might has:
One Solution = Unique Solution
Infinite Solutions = non-trivial Solution
No Solution = Trivial Solution (det A ≠ 0) .. ..
Consistent ..
In Consistent

24. Homogeneous System AX = 0
The system might has:
No Solution = Trivial Solution
at det A ≠ 0
Infinite Solutions = non-trivial Solution
at det A = 0
Note: If the matrix is non- square (n ≠ m)
It is non-trivial Solution and used Gauss Elimination

25. Thanks