# Write as a linear combination of the vectors are linearly independent

It's right there. And I draw the vector 7, 2 right there, I could show you that any point in R2 can be represented by some linear combination of these two vectors. Subspaces and the basis for a subspace Video transcript Let's say I had the set of vectors-- I don't want to do it that thick.

And finally, no combination of this guy and this guy that I can get a non-zero term here.

It doesn't change all of the possible linear combinations. Let me make a similar argument that I made up there: the vector 2, 0, 0, the vector 0, 1, 0, and the vector 0, 0, 7. I already told you.

## Linearly independent matrix example

That one might have been a little too abstract. Let's say I have the vector-- and this one will be a little bit obvious-- 7, 0, so that's my v1, and then I have my second vector, which is 0, minus 1. So its span is also going to be R2. And if I take negative values of 2, 3, I'm going to go down here. So I could just rewrite it like this. Let's say that this is the plane defined by those two vectors. So you could say that the span of my set of vectors-- let me put it over here.

You can't represent some vector like-- let me do a new color. It's 2, 3.

## Linearly dependent and independent vectors examples pdf

For example, this vector 2, 3. So what's its span? Now, are these linear dependent or linearly independent? Well, can I represent either of these as a combination of the other? Maybe they're linearly independent. But the fact is, that instead of talking about linear combinations of two vectors, I can reduce this to just a scalar combination of one vector. And I could have gone the other way around. I just graphed it on this plane. It's 2, 3. The third "5 miles northeast" vector is a linear combination of the other two vectors, and it makes the set of vectors linearly dependent, that is, one of the three vectors is unnecessary. And if you were to graph these in three dimensions, you would see that none of these-- these three do not lie on the same plane. What are all of the vectors that these two vectors can represent? And you can even see it if we graph it. They're multiples of each other.

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