Determining value of r that makes the matrix linearly dependent

Click For Summary

Homework Help Overview

The discussion revolves around determining the value of r that makes a matrix linearly dependent, specifically addressing two problems related to linear independence and dependence of vectors in a matrix context.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the implications of the number of vectors relative to the entries of the matrix, question the validity of reasoning regarding linear dependence, and discuss methods such as matrix reduction and determinant calculation.

Discussion Status

The conversation includes attempts to clarify misunderstandings regarding linear independence and dependence. Some participants provide feedback on the original poster's reasoning, while others suggest alternative methods for determining the value of r.

Contextual Notes

There is mention of a typo regarding the interpretation of linear independence and dependence, and the discussion reflects on the approach taken to solve the problems, including the presence of free variables in the matrix reduction process.

Sunwoo Bae
Messages
60
Reaction score
4
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.
 
Physics news on Phys.org
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
 

Similar threads

  • · Replies 10 ·
Replies
10
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 5 ·
Replies
5
Views
3K
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K