Linearly Dependent Vectors: u,v,w

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In summary, the conversation discusses the condition that if a linear combination of u, v, and w is equal to another linear combination of the same vectors, and if a and a' are equal, then u, v, and w must be linearly dependent. However, this statement is not necessarily true and more information is needed to determine the linear dependence of the vectors. It is also suggested to use consistent letters when representing scalars and vectors.
  • #1
sana2476
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If au + Bv + yw = a'u +B'v+y'w and a=a', then u,v,w are linearly dependent
 
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  • #2
wait 1 second, can you show us your work?

B does NOT= to B'
 
  • #3
The only thing that's given is the fact that a=a'...im guessing that would mean B=B' but I am not sure
 
  • #4
This is NOT a tutorial so I am moving it to Homework.

And "If au + Bv + yw = a'u +B'v+y'w and a=a', then u,v,w are linearly dependent"
is certainly NOT true. Take B= B'= y= y'= 0. The condition is simply that au= au which tells us absolutely nothing about u, v, w.
 
  • #5
sana2476 said:
If au + Bv + yw = a'u +B'v+y'w and a=a', then u,v,w are linearly dependent
As a side note, it would be helpful for you to be consistent with the letters you use. How did you happen to pick a, B, and y?

Apparently u, v, and w are vectors, so it would be good to use letters for scalars that won't be confused as vectors, say a, b, and c, or c1, c2, and c3.
 

What is the definition of linear dependence in vectors?

Linear dependence in vectors refers to the condition where one vector can be expressed as a combination of other vectors in the same vector space. In other words, if one vector can be written as a linear combination of other vectors, then those vectors are considered to be linearly dependent.

How can you determine if a set of vectors is linearly dependent?

A set of vectors is linearly dependent if at least one vector in the set can be expressed as a linear combination of the other vectors. This can be determined by setting up a system of equations and solving for the coefficients of the linear combination. If the system has infinitely many solutions or no solutions, then the vectors are linearly dependent.

What is the significance of linearly dependent vectors?

Linearly dependent vectors do not add any new information or increase the dimensionality of a vector space. They also do not form a basis for the vector space, which means they cannot be used to represent all vectors in that space. Therefore, linearly dependent vectors are not as useful as linearly independent vectors in solving problems in linear algebra and other fields of science and mathematics.

Can three or more vectors be linearly dependent?

Yes, three or more vectors can be linearly dependent. As long as one vector can be expressed as a linear combination of the other vectors, the set is considered to be linearly dependent. However, it is important to note that for a set of n vectors, if n is greater than the dimension of the vector space, then the vectors are always linearly dependent.

How can linearly dependent vectors be used in real-world applications?

Linearly dependent vectors can be used in real-world applications such as data analysis and pattern recognition. In these fields, linearly dependent vectors can represent similar or related data points, which can help in identifying trends and making predictions. Additionally, linearly dependent vectors can also be used in computer graphics and animation to create realistic movements and effects.

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