Determining value of r that makes the matrix linearly dependent

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SUMMARY

The discussion centers on determining the value of r that makes a matrix linearly dependent. For problem (a), all real numbers for r maintain linear independence due to the presence of more vectors than entries. In problem (b), the value of r=4 is identified as the point where the matrix becomes linearly dependent, as it results in a free variable when reduced to echelon form. The approach of using row reduction and checking for free variables is validated as an effective method for these types of problems.

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  • Understanding of linear independence and dependence in vector spaces
  • Familiarity with matrix row reduction techniques
  • Knowledge of reduced row echelon form (RREF)
  • Basic concepts of determinants in linear algebra
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators looking for clear examples of linear dependence and independence in matrix theory.

Sunwoo Bae
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Homework Statement
Given in the context
Relevant Equations
A matrix is linearly dependent if:
1. There are more vectors than entries
2. The matrix contains 0 vector
3. one vector is multiple of another
1622866616972.png


for problem (a), all real numbers of value r will make the system linearly independent, as the system contains more vectors than entry simply by insepection.

As for problem (b), no value of r can make the system linearly dependent by insepection. I tried reducing the matrix into reduced echelon form in order to check if there are any free variables, as presence of free variable indicates the system is linearly dependent. Through reducing the matrix, I can find out that value of 4 would make the last row of the matrix all zero, making x3 a free variable. Therefore, I can conclude that r=4.

The following is my work:
1622868339154.png


Are my answers and reasoning valid for these two problems? Also, is my approach to solving these problems correct?

Thank you for your help.
 
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The most straightforward way of telling whether the columns of a square matrix are linearly independent is to take the determinant. If zero, the columns are linearly dependent.

That said, your reduction does seem correct and results in the correct answer.
 
Sunwoo Bae said:
for problem (a), all real numbers of value r will make the system linearly independent, as the system contains more vectors than entry simply by insepection.
I guess you mean linearly dependent here?
 
PS for part b) I would have solved the equations: $$a + 2b = -1, \ \ 2a + b = 7$$ then used ##a## and ##b## to determine ##r##.
 
PeroK said:
I guess you mean linearly dependent here?
yes. That was a typo. sorry
 

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