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Let $n \in \mathbb{N}_{0}$ and let $L: \mathbb{R}^{n} \rightarrow \mathbb{R}^{n}$ be an injective linear map. Let $A \in \mathbb{R}^{n \times n}$ be an invertible matrix. Prove that for every base $\alpha$ of $\mathbb{R}^{n}$ there exists a base $\beta$ of $\mathbb{R}^{n}$ so that $A=L^{\beta}_{\alpha}$.

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    Where do the indices on L come from? What have you tried so far?2017-01-10

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Since $L$ is injective, we know that $\ker(L)=\{0\}$, hence $\dim(Im(L))=\dim(\mathbb{R}^{n}) = n$ because of the rank–nullity theorem. Because of this we know that the matrix for $L$ is invertible, which we will need later.

We will now try to find the vectors in $\beta$ so that $A=L^{\beta}_{\alpha}$ holds.

Consider $\varepsilon$ the standard basis of $\mathbb{R}^{n}$. We can then see that

\begin{equation} \begin{split} A & = L^{\beta}_{\alpha} \\ & = Id^{\beta}_{\varepsilon} \cdot L \cdot Id^{\varepsilon}_{\alpha} \\ \end{split} \end{equation}

(Where $Id^{b}_{a}$ is the matrix for change of basis from basis $a$ to basis $b$. Also note that $(Id^{b}_{a})^{-1}=Id^{a}_{b}$ )

From this we can find that

$$ A \cdot Id^{\alpha}_{\varepsilon} \cdot L^{-1} = Id^{\beta}_{\varepsilon} \\ $$

If we take the inverse of this, we get $(Id^{\beta}_{\varepsilon})^{-1}=Id^{\varepsilon}_{\beta}$. From this matrix we can get the elements we need to construct $\beta$. Consider $\beta = \{\beta_{1},\beta_{2},...,\beta_{n}\}$. Then $\beta_{i}$ is equal to the elements in the $i$-th column of $Id^{\varepsilon}_{\beta}$.

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    Thanks! That looks really helpful2017-01-22
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    @simp Glad to help, if this answer helped or solved your problem please mark it as accepted and/or vote up by clicking the check mark and/or the arrow up next to my answer. see: http://meta.stackexchange.com/questions/5234/how-does-accepting-an-answer-work for more information2017-01-23