Dimension of preimage question

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The discussion centers on proving that the pre-image g(U) of a subspace U under a function f is also a subspace of V. The proof utilizes linearity to show that g(U) is closed under addition and scalar multiplication. The second part of the discussion involves establishing the relationship between the dimensions of g(U), the intersection of U with the image of f, and the kernel of f. A hint is provided to consider the restriction of f on g(U) and apply the rank-nullity theorem to derive the dimension relationship. The conversation emphasizes the importance of understanding the properties of linear transformations and their implications on subspaces and dimensions.
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let g be the inverse function of f (not necessarily a bijective inverse function)
If S is any subset of W then the pre-image of S is

g(S) = {v ε V: f(v) ε S}

Suppose that U is a subspace of W.
Prove that g(U) is a subspace of V.
Also prove that
dim( g(U) )= dim( U intersect Im(f) ) + dim( ker (f) )

For the first part,
by linearity, f(av1+v2)=af(v1)+f(v2)=au1+ u2 ε U where v1ε g(U), v2ε g(U)
so av1+v2 ε g(U)---> a g(u1)+g(u2)ε g(U)
if f(v)=v.then g(U) is not empty
therefore, g(U) is a subspace.

For the second part,
I am not sure. can i just simply assume that U=W? then g(U) = V and U intersect im(f) is im(f) so clearly dim(V)=dim imf + dim kerf

Could anyone verify my first proof and give me a hint for the second part? Thanks in advance.
 
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Consider the restriction of ##f## on ##g(U)##. Then ##\operatorname{ker}f|_{g(U)}= \operatorname{ker}f## and the rank-nullity-theorem gives $$
\dim(U \cap \operatorname{im}f) = \dim \operatorname{im}f|_{g(U)} = \dim g(U) - \dim \operatorname{ker}f|_{g(U)}=\dim g(U) - \dim \operatorname{ker}f
$$
 
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