ATAR Notes: Forum
VCE Stuff => VCE Mathematics => VCE Mathematics/Science/Technology => VCE Subjects + Help => VCE Specialist Mathematics => Topic started by: Yitzi_K on September 12, 2010, 12:24:53 pm
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Could someone please explain this topic to me? My teacher didn't do the best job, and I'm somewhat confused about the whole thing.
Thanks
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if 2 vectors can be used to represent a 3rd, they are linearly dependent. say 3 vectors that form a triangle, the sum of all 3 equals 0. if not then theyre independent.
oh and if u have 2 vectors, they are almost always independent UNLESS one is the scalar multiple of the other.
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if 2 vectors can be used to represent a 3rd, they are linearly dependent. say 3 vectors that form a triangle, the sum of all 3 equals 0. if not then theyre independent.
oh and if u have 2 vectors, they are almost always independent UNLESS one is the scalar multiple of the other.
Great explanation. The idea of forming a triangle with three vectors is how I see it. With two vectors only if they are parallel they are linearly dependent. A trivial proof of this is that:
ie b is parallel to a, then
ie they will always form a linearly dependent set.
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if 2 vectors can be used to represent a 3rd, they are linearly dependent. say 3 vectors that form a triangle, the sum of all 3 equals 0. if not then theyre independent.
oh and if u have 2 vectors, they are almost always independent UNLESS one is the scalar multiple of the other.
When you say that the 3 vectors added together equals 0, is that a + b + c = 0, or ka + pb + qc= 0?
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its the latter, I should know, got it wrong in a recent sac costing me full marks (i used a + b + c = 0)
To add instead of using ka + pb + qc= 0
just use a = pb + qc, the real coefficients will be different but its more simple to get an answer
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To add instead of using ka + pb + qc= 0
just use a = pb + qc, the real coefficients will be different but its more simple to get an answer
Definitely.
Also worthy of note that three vectors in two dimensions are ALWAYS dependent. Same with 4 in 3 dimension, n+1 vectors in n dimensions.
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A quick note on the interpretation:
A set of vectors are linearly independent if no vectors in the set can be represented by a linear combination of other vectors in the same set. That is, if a set of vectors {a, b, c, d} is linearly independent, then a cannot be expressed in terms of b, c and d, and b cannot be expressed in terms of a, c and d, and so on.
Independent sets are often useful to describe a 'span'. A 2D plane can be completely spanned by the two vectors
. That is to say, any vectors in the 2D plane can be described by a linear combination of these two.
If you have a set of vectors
, this set of vectors is not linearly independent because
. That is,
spans all linear combinations of
. In this sense,
is 'redundant'.
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Thanks a lot guys this has been a real help. :)