Are These Vectors Linearly Independent?

In summary: Definitely agree with this approach. Determinants are thrown in too early without students understanding what they mean. It's best to seek a solution without them at an early level. Also seek Axler's paper :)In summary, the vectors a1, a2, and a3 are not linearly independent because the determinant is zero.
  • #1
Lynne
12
0

Homework Statement


Given vectors:
a1 = (1; 2; 0),
a2 = (2; 1; 3),
a3 = (0; 3; -3).
Find out if these vectors are linearly independent.

Homework Equations



The Attempt at a Solution



[tex]
\begin{cases}
\lambda_1+2\lambda_2=0;\\
2\lambda+\lambda_2+3\lambda_3=0;\\
2\lambda_2-3\lambda_3=0;\\
\end{cases}\\

\lambda_1=\lambda_2=\lambda_3=0
[/tex]

[tex]
D=\begin{vmatrix} 1 & 2 & 0 \\ 2 & 1 & 3 \\ 0 & 3 & -3 \end{vmatrix}=0
[/tex]

Vectors are not linearly independent because determinant is zero.
Am I correct?
 
Physics news on Phys.org
  • #2
Yes, looks ok. It's also possible to do it by inspection since there are so few vectors involved. It shouldn't be too hard to spot that 2a1-a2=a3.
 
  • #3
yes that is correct.
 
  • #4
Defennder said:
Yes, looks ok. It's also possible to do it by inspection since there are so few vectors involved. It shouldn't be too hard to spot that 2a1-a2=a3.

Definitely agree with this approach. Determinants are thrown in too early without students understanding what they mean. It's best to seek a solution without them at an early level. Also seek Axler's paper :)
 
  • #5
Lynne said:

Homework Statement


Given vectors:
a1 = (1; 2; 0),
a2 = (2; 1; 3),
a3 = (0; 3; -3).
Find out if these vectors are linearly independent.

Homework Equations



The Attempt at a Solution



[tex]
\begin{cases}
\lambda_1+2\lambda_2=0;\\
2\lambda+\lambda_2+3\lambda_3=0;\\
2\lambda_2-3\lambda_3=0;\\
\end{cases}\\

\lambda_1=\lambda_2=\lambda_3=0
[/tex]

[tex]
D=\begin{vmatrix} 1 & 2 & 0 \\ 2 & 1 & 3 \\ 0 & 3 & -3 \end{vmatrix}=0
[/tex]

Vectors are not linearly independent because determinant is zero.
Am I correct?

Well yeah, since the determinant is zero, it means that the corresponding matrix is singular, so the column vectors of that matrix are linearly dependent, in which case your vectors actually consist of the columns of the matrix.
i.e
A=[a1,a2,a3] where a1,a2,a3 are column vectors you were given.

Another way of doing it is taking the dependence relation

[tex]x_1a_1+x_2a_2+x_3a_3=\bar 0[/tex] and solving this vector equation, and observing that there are nontrivial solutions to this vector equation, which actually meanst that the three vectors given are lin. dependent.
 
  • #6
Thank you very much.
 

Related to Are These Vectors Linearly Independent?

1. What does it mean for vectors to be linearly independent?

Linearly independent vectors are a set of vectors that cannot be expressed as a linear combination of each other. In other words, no vector in the set can be written as a sum of multiples of the other vectors in the set.

2. How do you determine if a set of vectors is linearly independent?

To determine if a set of vectors is linearly independent, you can perform the following steps:
1. Set up a system of equations using the vectors as coefficients.
2. Solve for the variables in the system using Gaussian elimination or other methods.
3. If the only solution to the system is all variables equal to zero, then the vectors are linearly independent. Otherwise, they are linearly dependent.

3. Can two vectors be linearly dependent if they are in different dimensions?

Yes, two vectors can still be linearly dependent if they are in different dimensions. For example, if a vector in 3-dimensional space can be written as a linear combination of two vectors in 2-dimensional space, then they are linearly dependent.

4. Can a set of linearly independent vectors span a vector space?

Yes, a set of linearly independent vectors can span a vector space. In fact, a set of linearly independent vectors is a basis for a vector space, meaning that they can be used to represent any vector in that space.

5. How is the concept of linear independence related to linear transformations?

Linear independence is closely related to linear transformations. A set of linearly independent vectors is transformed into another set of linearly independent vectors under a linear transformation. This means that the linear transformation does not change the linear independence of the vectors in the set.

Similar threads

  • Linear and Abstract Algebra
Replies
8
Views
2K
Replies
8
Views
1K
  • Linear and Abstract Algebra
Replies
4
Views
1K
  • Calculus and Beyond Homework Help
Replies
2
Views
1K
  • Precalculus Mathematics Homework Help
Replies
9
Views
830
  • Linear and Abstract Algebra
Replies
8
Views
1K
  • Beyond the Standard Models
Replies
1
Views
1K
  • Calculus and Beyond Homework Help
Replies
8
Views
711
Replies
3
Views
2K
  • Precalculus Mathematics Homework Help
Replies
14
Views
400
Back
Top