Given an isomorphism linear transformation $T:V \to \mathbb C^3$,where $V$ is a vector space

linear algebralinear-transformationsvector-spaces

Given an isomorphism linear transformation $T:V \to \mathbb C^3$,where $V$ is a vector space over $\mathbb C$,assume $\alpha_1,\alpha_2,\alpha_3,\alpha_4 \in V$ such that:
$$T(\alpha_1)=(1,0,i)$$
$$T(\alpha_2)=(-2,1+i,0)$$
$$T(\alpha_3)=(-1,1,1)$$
$$T(\alpha_4)=(\sqrt 2,i,3)$$

  1. Is $\alpha_1$ in the subspace spanned by $\alpha_2,\alpha_3$?
  2. If $W_1$ is the subspace spanned by $\alpha_1,\alpha_2$ and $W_2$ is the subspace spanned by $\alpha_3,\alpha_4$,then find the intersection of $W_1$ and $W_2$.
  3. Find a basis for the subspace spanned by $\alpha_1,\alpha_2,\alpha_3,\alpha_4$.

$\alpha_1$ is the subspace spanned by $\alpha_2,\alpha_3$ if it can be written as a (finite) linear combination of $\alpha_2,\alpha_3$,if there exist $\lambda_2,\lambda_3 \in \mathbb C$ such that $$\alpha_1=\lambda_2\alpha_2+\lambda_3\alpha_3$$

Or equivalently (the equivalence is duo to the fact that $T$ is an isomorphism which follows that it does have an inverse) $$T(\alpha_1)=\lambda_2T(\alpha_2)+\lambda_3T(\alpha_3)$$
$$(1,0,i)=\lambda_2(-2,1+i,0)+\lambda_3(-1,1,1)$$
Which implies that $\lambda_2=i(i+1)/2,\lambda_3=i$,and so the answer to the question is yes.

So far we know that $\text{dim}(W_1)=2=\text{dim}(W_2)$,on the other hand $$ \text{dim}(W_1 \cap W_2)=\text{dim}(W_1)+\text{dim}(W_2)- \text{dim}(W_1+W_2)$$

$T$ is isomorphism ,hence a bijection,so does have an inverse ,but I don't know how to find the dimension of $W_1+W_2$.

Since the $\alpha_i$'s have not been given explicitly,hence I think we need a trick to find such a basis,but I don't know how.

Best Answer

We have

$$\alpha_3 = \frac1{\lambda_3}(\alpha_1-\lambda \alpha_2)$$ so $\alpha_3 \in W_1$. But also $\alpha_3 \in W_2$ by definition so $\alpha_3 \in W_1\cap W_2$. This implies that $\dim (W_1 \cap W_2) \ge 1$.

It remains to see whether $\dim(W_1\cap W_1) = 1$ or $\dim(W_1\cap W_2) = 2$. In the latter case, since $\dim W_1 = \dim W_2 =2$, we would get $W_1 = W_2$. However, it is easy to see that $\alpha_4$ cannot be represented as a linear combination of $\alpha_1$ and $\alpha_2$ so clearly $W_1 \ne W_2$.

Therefore $\dim (W_1 \cap W_2) = 1$ and hence $\dim (W_1+W_2) = 3$. To find a basis for $W_1+W_2$ we have to pick three linearly independent vectors. We can pick $$\{\alpha_1, \alpha_2, \alpha_4\}.$$ Indeed, the first two are linearly independent since $\dim W_1 = 2$ and we already showed that $\alpha_4 \notin W_1.$

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