Linear dependence/independence

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If it was a vector equation, then it would only have one solution for the ratio. In this case, the division would be external with a ratio of 2:5.
  • #1
masterofthewave124
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Given that and u||v, v is not parallel with w and z= −3u state (with reasons) whether the following vectors are linearly dependent with u.

a) -2v -> LD since u is parallel with v, u must be also parallel with 2v

b) 3w -> LI since u is parallel with v and v isn't parallel with w, w is also not parallel with u

c) 4z -> LD since u is parallel with v and v is parallel with z (z is just a scalar mutliple of u anyways), z must be parallel with u

d) 3v + 4z -> LD since v and z are parallel with each other and both are parallel with u, any combination of v and z is parallel with u

can someone check these for me? the coefficients infront of the vectors have no real siginificance right?, there just scalar multiples? if they do, then i screwed up big time.
 
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  • #2
different topic (division of a line) but i don't want to pollute the board with new threads.

1. State the ratio into which A divides BC. Indicate whether the division is internal or external.

a) BA = 2/3(BC)

is this question worded right? because you get BA/BC = 2/3 which really means B divides AC externally in the ratio 2:3. also, usually if C divides AB externally, the ratio would be AC:CB, which means one of them is negative. that's the second problem with this question even if the wording is incorrect.
 
  • #3
For the first question, I don't find anything wrong with your answers.
Remember that a scalar coefficient in front of a vector, simply scales the vector by some measure while maintaining its direction .

For the second question, if you are not talking of vectors, but merely scalars or line segments, both the answers are possible . However if it is vectors the situation changes and there is only one answer .
Before I explain, could you please clarify further .
 
  • #4
I don't understand why you are worrying about "B divides AC externally" or "C divides AB externally". The problem asked in what ratio A divides BC. Clearly, A is 2/3 of the way from B to C and so divides BC 2 to 1. (BA is twice as long as AC)
 
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  • #5
HallsofIvy: yes thanks for clarifying, i needed to draw a diagram to visualize.

B______________A______C

it would look something like that i suppose.
 
  • #6
It can also be something like

A________B_______________C

Note that in this case too BA = 2/3 BC and division is external and in which case AB/BC = (2/3)/(1+2/3) = 2/5 .Thus both internal and external division are possible as I said in my earlier post.
Now had it been
[tex]\vec{BA} = \frac{2}{3}\vec{BC}[/tex]
the situation would have been different .
Can you see how ? ;)
 

FAQ: Linear dependence/independence

What is linear dependence/independence?

Linear dependence/independence refers to the relationship between vectors in a vector space. A set of vectors is linearly dependent if one or more of the vectors can be expressed as a linear combination of the other vectors. Conversely, a set of vectors is linearly independent if none of the vectors can be expressed as a linear combination of the others.

How can I determine if a set of vectors is linearly dependent or independent?

To determine if a set of vectors is linearly dependent or independent, you can use the following methods:

  • One method is to create a matrix with the vectors as columns and perform row reduction to see if any rows become all zeros. If this happens, the vectors are linearly dependent.
  • Another method is to calculate the determinant of the matrix formed by the vectors. If the determinant is 0, the vectors are linearly dependent.

What is the significance of linear dependence/independence?

Linear dependence/independence is important in many areas of mathematics and science. In linear algebra, it is used to determine if a set of vectors forms a basis for a vector space. In physics and engineering, it is used to analyze systems of equations and determine the relationships between variables. It also has applications in computer science and data analysis.

Can a set of vectors be both linearly dependent and independent?

No, a set of vectors can only be either linearly dependent or independent. If a set of vectors is linearly dependent, it means that at least one of the vectors can be expressed as a linear combination of the others. If a set of vectors is linearly independent, it means that none of the vectors can be expressed as a linear combination of the others.

How does linear dependence/independence relate to the concept of span?

The span of a set of vectors is the set of all possible linear combinations of those vectors. If a set of vectors is linearly independent, its span will be the entire vector space. If a set of vectors is linearly dependent, its span will be a subspace of the vector space. In other words, the span of linearly independent vectors is the entire vector space, while the span of linearly dependent vectors is a smaller subspace within the vector space.

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