Answer Sub Vector Spaces: U, W & V - Correct Answers

In summary, we discussed three sets: U, W, and V. U is not a vector space because it is not closed under addition. W and V are vector spaces, with dimensions of 3 and 3, respectively.
  • #1
Yankel
395
0
Hello,

I am struggling with this question...

U is a set of all matrices of order 3X3, in which there is at least one row of 0's.

W is the set of matrices:

a b
c b+c-3a

where a,b,c are real numbers.

V is the set of vectors: (x,y,z,w), for which 5(y-1)=z-5

which two of these statements are correct ?

a. U is a vector subspace with dimension of 9
b. U is a vector subspace with dimension of 6
c. W is a vector subspace with dimension of 2
d. W is a vector subspace with dimension of 3
e. V is a vector subspace with dimension of 3
f. V is a vector subspace with dimension of 2
g. V and U are not sub-spaces

I think that U should be, but I don't know, the 0's confuse me, and I don't know about W and V.
thank you...
 
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  • #2
U is not a vector space because it is not closed under addition. W and V are vector spaces. For example, suppose (x, y, z, w) and (x', y', z', w') are in V, so 5(y - 1) = z - 5 and 5(y' - 1) = z' - 5. This is equivalent to 5y = z and 5y' = z', so 5(y + y') = z + z', or 5(y + y' - 1) = z + z' - 5. Therefore, (x + x', y + y', z + z', w + w') is also in V. Note that if the equation were 5(y - 1) = z - 6, then V would not be closed under addition. You need to check the remaining axioms of a vector space.

In the case of W, one can independently choose a, b and c; then the fourth element of the matrix is fixed. Therefore, the dimension of W is 3. In other words, $\begin{pmatrix}1 & 0\\0 & -3\end{pmatrix}$, $\begin{pmatrix}0 & 1\\0 & 1\end{pmatrix}$ and $\begin{pmatrix}0 & 0\\1 & 1\end{pmatrix}$ are the basis elements. Similarly, for V we have four numbers and one equation relating them, so the dimension again is 3.
 

Related to Answer Sub Vector Spaces: U, W & V - Correct Answers

1. What are Sub Vector Spaces?

Sub vector spaces are subsets of a larger vector space that also follow the same properties as the larger vector space. They are closed under addition and scalar multiplication, and contain the zero vector.

2. What is the difference between U, W, and V in Sub Vector Spaces?

U, W, and V are simply labels used to represent different sub vector spaces within a larger vector space. They could represent different dimensions, different sets of vectors, or different properties within the larger vector space.

3. How do you find the intersection of two Sub Vector Spaces?

The intersection of two sub vector spaces can be found by finding the common elements between the two sub vector spaces. This can be done by finding the basis of each sub vector space and seeing if they share any vectors. If they do, those vectors form the basis for the intersection of the two sub vector spaces.

4. Can Sub Vector Spaces be empty?

No, sub vector spaces cannot be empty. They must contain at least the zero vector in order to be considered a sub vector space. Additionally, an empty set does not follow the properties of a vector space, therefore it cannot be a sub vector space.

5. How are Sub Vector Spaces related to Linear Independence?

Sub vector spaces and linear independence are closely related. Sub vector spaces must be linearly independent in order to be considered a sub vector space. This means that the vectors within the sub vector space must not be able to be written as a linear combination of each other. Additionally, the basis of a sub vector space must also be linearly independent.

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