Finding a Basis of V with Vector v

In summary, for V = R3, any three independent vectors such as (1,0,0), (0,1,1), and (0,1,0) can form a basis that includes the vector v = (0,1,1). For V = P2, a potential basis could be 1, x, and x^2, with the exception that the vector (1,-1,1) could take the place of either (0,1,0) or (0,0,1) in the standard normal basis. There is not a systematic method for finding a basis for V that includes a given vector.
  • #1
stunner5000pt
1,465
4
find a basis for V that includes the vector v

1 V = R3 , v = (0,1,1)
2 V = P2 , v = x^2 - x + 1
WHere Pn represents all polynomials of degree n

for hte first one
would any three independant vecotrs do?
like maybe (1,0,0), (0,1,1) and (0,1,0)?
is that correct?

for the second one
(1,-1,1) is the vector we have to match
could two other vectors like (1,0,0) and (0,1,1) do?
IS there a systematic method of doing this?
 
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  • #2
Well, both of your answers are correct. I don't know of a systematic method. If you have a span of the vector space you can systematically reduce it to a basis, but you aren't given a span.

Here's a semi-systematic way of doing it: you could take a basis that seems "standard" such as 1, x, x^2 for P2 and then let the basis be the standard normal basis in Rn written with respect to that basis in your vector space, with the exception that the vector you are asked to include takes the place of one of the standard normal vectors, with the proviso that when written as a vector in Rn it does not contain a zero in the place where the standard normal vector it is taking the place of contains a 1.

So for (1, -1, 1) you might use (0, 1, 0) and (0, 0, 1) by that method
 
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FAQ: Finding a Basis of V with Vector v

What does it mean to find a basis of V with vector v?

Finding a basis of V with vector v means finding a set of vectors that can span the entire vector space V and can be used to represent any other vector in V, with the help of the vector v. It is a way to express all vectors in V as a linear combination of a smaller set of vectors.

Why is it important to find a basis of V with vector v?

Finding a basis of V with vector v is important because it allows us to reduce the number of vectors needed to describe a vector space. This can make calculations and representations of vectors easier and more efficient.

How do you find a basis of V with vector v?

To find a basis of V with vector v, you first need to determine if v is already a part of a basis for V. If it is not, then you can use the Gram-Schmidt process or Gaussian elimination to find a set of linearly independent vectors that span V. The vector v can then be added to this set to create a basis of V with vector v.

Can there be more than one basis of V with vector v?

Yes, there can be more than one basis of V with vector v. This is because there are often multiple ways to choose a set of linearly independent vectors that can span a vector space. However, all bases for a given vector space will have the same number of vectors, known as the dimension of the vector space.

How do you know if a set of vectors is a basis of V with vector v?

To determine if a set of vectors is a basis of V with vector v, you can check if they are linearly independent and if they span the vector space V. This means that the vectors cannot be written as a linear combination of each other and that they can be used to represent any vector in V. If these conditions are met, then the set of vectors is a basis of V with vector v.

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