2.(a). The augmented matrix of the given linear system is A (say) =
|
1 |
-2 |
0 |
4 |
|
2 |
0 |
a |
6 |
|
3 |
-4 |
5 |
b |
To determine the possible solutions to the given linear system, we will carry out the following row operations:
Add -2 times row 1 to row 2
Add -3 times row 1 to row 3
Multiply row 2 by 1/4
Add 2 times row 2 to row 1
Add -2 times row 2 to row 3
Multiply row 3 by 2/(10-a) ( if a ≠ 10).
Add -a/2 times row 3 to row 1
Add -a/4 times row 3 to row 2
Then A changes to
|
1 |
0 |
0 |
[a(b-11)+3a-30]/(a-10) |
|
0 |
1 |
0 |
[a(b-11)-a+10]/2(a-10) |
|
0 |
0 |
1 |
2(11-b)/(a-10) |
It implies that the given linear system has a unique solution x = [a(b-11)+3a-30]/(a-10), y = [a(b-11)-a+10]/2(a-10) and z = 2(11-b)/(a-10) if a ≠ 10.
If a = 10, thenn the augmented matrix of the given linear system has the RREF
|
1 |
0 |
5 |
3 |
|
0 |
1 |
5/2 |
-1/2 |
|
0 |
0 |
0 |
b-11 |
Thus if a = 10 and b =11, then the given linear system has infinite solutions . However, if a = 10 and b ≠ 11, then the given linear system has no solution.
(b). The augmented matrix of the given linear system is M (say) =
|
2 |
1 |
-1 |
a |
|
0 |
2 |
3 |
b |
|
1 |
0 |
-c |
1 |
To determine the possible solutions to the given linear system, we will carry out the following row operations:
Multiply row 1 by 1/2
Add -1 times row 1 to row 3
Multiply row 2 by 1/2
Add -1/2 times row 2 to row 3
Multiply row 3 by 4/(5c-4) ( if c ≠4/5)
Add 5/4 times row 3 to row 1
Add -3/2 times row 3 to row 2
Then M changes to
|
1 |
0 |
0 |
(2ac-bc-5)/(4c-5) |
|
0 |
1 |
0 |
(-3a+2bc-b+6)/(4c-5) |
|
0 |
0 |
1 |
(2a-b-4)/(4c-5). |
It implies that the given linear system has a unique solution x = (2ac-bc-5)/(4c-5), y = (-3a+2bc-b+6)/(4c-5) and z = (2a-b-4)/(4c-5) if c ≠4/5
If c = 5/4, then M has the RREF
|
1 |
0 |
-5/4 |
(2a-b)/4 |
|
0 |
1 |
3/2 |
b/2 |
|
0 |
0 |
0 |
(-2a+b+4)/4 |
In this case, the given linear system has no solution if -2a+b+4 ≠ 0, i.e. if b ≠ 2a-4.
However, if c = 5/4 and b = 2a-4, then the RREF of M is
|
1 |
0 |
-5/4 |
1 |
|
0 |
1 |
3/2 |
a-2 |
|
0 |
0 |
0 |
0 |
In this case, the given linear system has infinite solutions.
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