Can a L.I. set transform into a L.D. set after Linear Transformation?

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Let $X$ be a real vector space. Suppose $\{v_1,v_2,v_3\} \subset X$ is a linearly independent set, and suppose $\{w_1,w_2,w_3\} \subset X$ is a linearly dependent set. Define $V= \operatorname{span}\{v_1,v_2,v_3\}$ and $W= \operatorname{span}\{w_1, w_2, w_3\}$.

(a) Is there a linear transformation $P : V \to W$ such that $P(v_i) = w_i$ for $i=1,2,3$?

(b) Is there a linear transformation $Q : W \to V$ such that $Q(w_i) = v_i$ for $i=1,2,3$?

What I am thinking is that is this question equivalent to "Can a L.I. set transform into a L.D. set after Linear Transformation ?"(I am a little bit confused about "$P(v_i)=w_i$" is this mean "for every set $V$ and $W$, there exist a linear transformation s.t. ..." ?) If not, then what should be the right solution to this question? Can anyone give me some hints on how to solve this problem? Thanks!

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Answer to a) is yes. You have to use the fact that $\{v_1,v_2,v_3\}$ cab be extended to a basis for $X$. Once you have a basis you can give arbitrary values to the basis elements and extend it to a linear function. Answer to b): any dependence relation among $\{w_1,w_2,w_3\}$ leads to the same relation among $\{v_1,v_2,v_3\}$ so the answer is no.

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$P(v_i)=w_i$ means the image of $v_i$ under linear transformation $P$ is $w_i$.

Hint for part b:

Suppose $w_1=c_2w_2+c_3w_3$, then we have $Q(w_1)=c_2Q(w_2)+c_3Q(w_3)$, try to see a contradiction using definition of linearly independence.