Determine Sub-Vector Spaces of W & V

In summary, the conversation discusses two sets, W and V, and their properties as sub vector spaces. W is determined to be a sub space with a dimension of 3, while V's status is uncertain. The conversation then explores the closure conditions and a linear relationship between the variables in V. Finally, it is suggested to prove the answer by exhibiting a basis if V is indeed a subspace.
  • #1
Yankel
395
0
Hello all,

I have two sets:

\[W={\begin{pmatrix} a &2b \\ c-b &b+c-3a \end{pmatrix}|a,b,c\epsilon \mathbb{R}}\]

\[V=ax^{2}+bx+c|(a-2b)^{2}=0\]I need to determine if these sets are sub vector spaces and to determine the dim.

I think that W is a sub space and dim(W)=3 (am I right?)

I don't know how to approach V...any help will be appreciated
 
Physics news on Phys.org
  • #2
The set of all 2x2 real matrices can be viewed as a vector space of dimension 4.

In this view, W becomes the space spanned by:

(1,0,0,-3), (0,2,-1,1) and (0,0,1,1).

Is this a linearly independent set?

For the second set, it might be good to verify the closure conditions, first (the 0-polynomial is obviously a member of $V$).

Suppose:

$p(x) = ax^2 + bx + c$
$q(x) = dx^2 + ex + f$

are both in $V$.

Does $(p+q)(x) = (a + d)x^2 + (b+e)x + (c+f)$ satisfy:

$[(a+ d) - 2(b+e)]^2 = 0$?

If $k$ is any real number, does:

$(ka - 2kb)^2 = 0$ (that is, is $(kp)(x) \in V$)?

(Hint: if $r^2 = 0$, then $r = 0$).

Can you find a LINEAR relationship between $a,b,c$?

Finally, PROVE your answer by exhibiting a basis, if $V$ is indeed a subspace.
 

FAQ: Determine Sub-Vector Spaces of W & V

What is a sub-vector space?

A sub-vector space is a subset of a larger vector space that also satisfies the properties of a vector space. This means that it is closed under vector addition and scalar multiplication, and contains the zero vector.

How do you determine if a set of vectors is a sub-vector space of a given vector space?

To determine if a set of vectors is a sub-vector space of a given vector space, you need to check if it satisfies the three properties of a vector space: closure under vector addition, closure under scalar multiplication, and containing the zero vector. If it satisfies all three properties, then it is a sub-vector space.

Can a sub-vector space contain the zero vector?

Yes, a sub-vector space must contain the zero vector in order to satisfy the properties of a vector space. If it does not contain the zero vector, then it is not considered a sub-vector space.

Is it possible for a sub-vector space to be the same as the original vector space?

Yes, it is possible for a sub-vector space to be the same as the original vector space. In this case, the sub-vector space would contain all of the vectors in the original vector space.

How can sub-vector spaces be useful in real-world applications?

Sub-vector spaces can be useful in real-world applications when dealing with large amounts of data. By identifying sub-vector spaces, we can reduce the dimensionality of the data and simplify calculations. This can be especially helpful in fields such as machine learning and data analysis.

Similar threads

Back
Top