Linear Algebra Concept Question

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SUMMARY

The discussion centers on determining the conditions under which a linear system has no solutions, a unique solution, or infinite solutions based on the parameter "a". The system of equations analyzed is: x + ay - z = 1, -x + (a-2)y + z = -1, and 2x + 2y + (a-2)z = 1. The conclusions drawn are: no solutions occur when a = 0, a unique solution exists when a ≠ 0 and a ≠ 1, and infinite solutions arise when a = 1, leading to the general forms x = -t, y = t, z = -1. The clarification of free and basic variables is essential for understanding the infinite solutions case.

PREREQUISITES
  • Understanding of linear algebra concepts, specifically systems of equations.
  • Familiarity with reduced row-echelon form (RREF) and its application in solving linear systems.
  • Knowledge of basic and free variables in the context of linear systems.
  • Ability to interpret conditions for consistency and inconsistency in linear systems.
NEXT STEPS
  • Study the concept of reduced row-echelon form (RREF) in detail.
  • Learn about the role of free variables in determining the number of solutions in linear systems.
  • Explore the implications of parameter variations in linear equations.
  • Practice solving linear systems with varying conditions to solidify understanding of unique and infinite solutions.
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Students studying linear algebra, educators teaching systems of equations, and anyone seeking to deepen their understanding of solution conditions in linear systems.

LHC
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Homework Statement

List the conditions of "a" under which the system:

x + ay - z = 1
-x + (a-2) y + z = -1
2x + 2y (a-2) z = 1

i) Has no solutions:
ii) Has a unique solution:
iii) Has infinite solutions.

The attempt at a solution

Well, I changed the matrix into reduced row-echelon form and I found:

x = (a-1)/a
y = 0
z = -1/a

The textbook gives the following answers:
i) No solutions: a = 0 (which I understand...because otherwise there would be an undefined x and z)

ii) Unique solution: a not= 0 and a not= 1, then unique solution of:
x = (a-1)/a
y = 0
z = -1/a (same as above)

iii) Infinite solutions: if a = 1, then solutions of x = -t, y = t, z = -1

-------------

I don't understand the third case for infinite solutions. If a = 1, then wouldn't: x = 0, y = 0, z = -1?

Also, what is the general strategy for solving such problems? (Many of these types of problems are given in the section of the textbook that I'm going through, yet no example was ever given.) I mean, I understand how to get a unique solution, and how to get no solution, but I'm not sure how you would deduce the case for infinite solutions.

Thanks in advance!
 
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A Linear System may have
1. A unique solution - the system is consistent
2. Infinite solutions - the system is consistent
3. No solutions - the system is inconsistent

To distinguish between a unique solution and infinite solutions:
If there are no basic variables, then the system has a unique solution.
If there are >= 1 free variables, the solutions has infinite solutions.

In
x = -t, y = t, z = -1
which are the basic, and free variables? Since there are at least 1 free variable, then the system has infinite solutions since t can be any number.
 
If there are no basic variables, then the system has a unique solution.
Sorry, this is a typo, it should be no free variables.
 
LHC said:
Homework Statement

List the conditions of "a" under which the system:

x + ay - z = 1
-x + (a-2) y + z = -1
2x + 2y (a-2) z = 1
You mean 2x+ 2y+ (a-2)z= 1, don't you?

i) Has no solutions:
ii) Has a unique solution:
iii) Has infinite solutions.

The attempt at a solution

Well, I changed the matrix into reduced row-echelon form and I found:

x = (a-1)/a
y = 0
z = -1/a
Be careful here. One of the equations reduces to 2(a-1)y= 0 which gives y= 0 provided a is not equal to 1. If a= 1, that equation is 0= 0 which is true no matter what y is. That's the case where there are an infinite number of solutions.

The textbook gives the following answers:
i) No solutions: a = 0 (which I understand...because otherwise there would be an undefined x and z)

ii) Unique solution: a not= 0 and a not= 1, then unique solution of:
x = (a-1)/a
y = 0
z = -1/a (same as above)

iii) Infinite solutions: if a = 1, then solutions of x = -t, y = t, z = -1

-------------

I don't understand the third case for infinite solutions. If a = 1, then wouldn't: x = 0, y = 0, z = -1?

Also, what is the general strategy for solving such problems? (Many of these types of problems are given in the section of the textbook that I'm going through, yet no example was ever given.) I mean, I understand how to get a unique solution, and how to get no solution, but I'm not sure how you would deduce the case for infinite solutions.

Thanks in advance!
 
Thanks, konthelion and HallsofIvy, for your help. HallsofIvy, when you said "Be careful here. One of the equations reduces to 2(a-1)y= 0 which gives y= 0 provided a is not equal to 1. If a= 1, that equation is 0= 0 which is true no matter what y is. That's the case where there are an infinite number of solutions.", I looked back on the steps that I used to reduce the matrix and you're right. Thank you for clarifying this for me; now I understand the rest of these problems.
 

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