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Let $V,W$ be vector spaces. Prove that if there exists a linear transformation $T:V \to W$ such that both $\ker(T)$ and $\operatorname{Im}(T)$ are finite-dimensional then $V$ is finite-dimensional as well.

I'm not sure how to prove this. My first intuition was to use the dimension theorem, but I can't because it requires that the domain is finite dimensional, and that's what I want to prove.

2 Answers2

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Suppose $V$ is infinite dimensional. Let $\{u_1, \dots, u_m\}$ be a basis for $\ker{(T)}$. Then we can extend $\{u_1,\dots ,u_m\}$ to a linearly independent set $\{u_1,\dots ,u_m,v_1,\dots , v_n\}$, with $n> \dim \text {Im}(T)$. The image of the span of $\{v_1, \dots ,v_n\}$ has dimension $n,$ contradiction.

amWhy
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zhw.
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1

Pick $\{v_1,\dots,v_n\}$ such that $\{T(v_1),\dots,T(v_n)\}$ is a spanning set for $\operatorname{Im}(T)$ and prove that, if $\{u_1,\dots,u_m\}$ is a spanning set for $\ker(T)$, then $$ \{u_1,\dots,u_m,v_1,\dots,v_n\} $$ is a spanning set for $V$.

Hint: take $v\in V$; then $T(v)=\sum_{i=1}^n\beta_iT(v_i)$ and, if we set $v'=\sum_{i=1}^n\beta_iv_i$, we have $T(v)=T(v')$, so $v-v'\in\ker(T)$.

egreg
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