Linear algebra (impact of solution of theory of linear equations)

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SUMMARY

The discussion centers on solving a system of linear equations represented by an augmented matrix. The key finding is that for the system to have a solution, the value of t must be -21, leading to a scenario where the last row of the row-reduced form results in 0=0, indicating infinite solutions dependent on z. The implications of this example highlight the geometric significance of solution sets in linear algebra, particularly in understanding the conditions under which solutions exist or are infinite.

PREREQUISITES
  • Understanding of augmented matrices in linear algebra
  • Familiarity with row reduction techniques
  • Knowledge of the geometric interpretation of linear equations
  • Basic concepts of solution sets in linear systems
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  • Study the geometric significance of solution sets in linear algebra
  • Learn about the implications of infinite solutions in linear systems
  • Explore the theory of linear equations and their roots
  • Practice row reduction with various augmented matrices
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Students taking linear algebra courses, educators teaching linear equations, and anyone interested in the geometric interpretation of solutions in linear systems.

hoju
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I am currently taking the first college level linear algebra course and have a question.

Consider the system of equations:

1 3 2 |1
0 -4 5 |-23
2 2 9 |t

Find values of t for which solutions to this augmented matrix can be obtained. Explain the implications of this example in the theory of linear equations.

Answer:

I found that t=-21 and that the solution is of the form {x, y, z} = {-1/4(23z+65), 1/4(5z+23), z}. That much is correct. What I don't know is what the bold statement above is asking of me. Any help is appreciated. Thanks.
 
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In row-reducing this augmented matrix, I found that if t = -21, the system has no solution. For a different value of t, I found the solution you show.

For implications of this example in the theory of linear equations, I'm not sure which implications the text author has in mind, but I would start with the geometric significance of your solution set.
 
Thanks for the reply Mark44. Here is the work I did to find t.

1 3 2 |1
0 -4 5 |-23
2 2 9 |t

row reducing

1 3 2 |1
0 -4 5 |-23
0 -4 5 |t-2

1 3 2 |1
0 -4 5 |-23
0 0 0 |t-2+23

1 3 2 |1
0 -4 5 |-23
0 0 0 |t+21

It follows that t=-21 is necessary for the system to have a solution so that 0=0 in the last row. Did I miss something?

I know that the system has an infinite number of solutions that depend on the value of z, but I am still not sure how this impacts the theory of linear equations. Probably because I am somewhat unfamiliar with the theory itself. The book isn't much help.

I am guessing that the theory of linear equations states that the roots of each equation in the system are the same if the system has a solution, but in this case the existence and identity of the solution are restricted by t and z, respectively. Would that be on the right track? Thanks for the help.
 

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