Step 1: Check if the union of subspaces forms a subspace.
For a union of subspaces to be a subspace, it must satisfy the properties of closure under addition and scalar multiplication.
We check the options one by one:
- \( V_1 \cup V_2 \): The union of two subspaces is not necessarily a subspace unless one is contained within the other.
Here, the set \( V_2 \) is a one-dimensional subspace, and \( V_1 \) is a two-dimensional subspace.
Since they are not scalar multiples of each other, their union is not closed under addition or scalar multiplication.
Therefore, \( V_1 \cup V_2 \) is not a subspace.
- \( V_1 \cup V_3 \): The union of \( V_1 \) and \( V_3 \) is not closed under addition.
Specifically, the sum of two vectors from these subspaces may not lie in the union.
Therefore, \( V_1 \cup V_3 \) is not a subspace.
- \( V_1 \cup V_4 \): The subspaces \( V_1 \) and \( V_4 \) are both spanned by vectors in \( \mathbb{R}^3 \).
The span of \( V_1 \) and \( V_4 \) together forms a two-dimensional subspace, which is closed under addition and scalar multiplication.
Hence, \( V_1 \cup V_4 \) is a subspace of \( \mathbb{R}^3 \).
- \( V_1 \cup V_5 \): The union of these two subspaces is not closed under addition,
as elements from \( V_1 \) and \( V_5 \) may not add up to an element in either subspace.
Therefore, \( V_1 \cup V_5 \) is not a subspace.
Final Answer:
\[
\boxed{V_1 \cup V_4 \text{ is a subspace of } \mathbb{R}^3.}
\]