Is this question asking me to prove there exists an invertible linear map between $\Bbb R^n$ and the set of all linear maps between $\Bbb R$ and $\Bbb R^n$? And if so, how would I do that?
Prove that $\Bbb R^n$ and $\mathcal L(\Bbb R,\Bbb R^n)$ are isomorphic.
47 Views Asked by Bumbble Comm https://math.techqa.club/user/bumbble-comm/detail AtThere are 2 best solutions below
On
Yes, I think that is exactly what is being asked here.
Let
$\alpha \in \mathcal L(\Bbb R, \Bbb R^n) \tag 1$
be linear; then for $t \in \Bbb R$ we have
$\alpha(t) = \alpha(t \cdot 1) = t\alpha(1) \in \Bbb R^n; \tag 2$
thus each $\alpha \in \mathcal L (\Bbb R, \Bbb R^n)$ determines a vector
$\alpha(1) \in \Bbb R^n; \tag 3$
likewise, for any
$\alpha \in \Bbb R^n, \tag 4$
we may define an element
$\alpha(t) \in \mathcal L(\Bbb R, \Bbb R^n) \tag 5$
by
$\alpha(t) = t\alpha; \tag 6$
we are thus motivated to define a mapping
$\phi:\Bbb R^n \to \mathcal L(\Bbb R, \Bbb R^n) \tag 7$
by
$\phi(\alpha) = t\alpha = \alpha(t) \in \mathcal L(\Bbb R, \Bbb R^n); \tag 8$
it is easy to see that $\phi$ is linear, for
$\phi(a \alpha + \beta) = t(a \alpha + \beta) = a(t\alpha) + t\beta = a\alpha(t) + \beta(t) = a\phi(\alpha) + \phi(\beta), \; a \in \Bbb R, \alpha, \beta \in \Bbb R^n; \tag 9$
furthermore, $\phi$ is clearly surjective, since
$\phi(\alpha(1)) = \alpha(t) \in \mathcal(\Bbb R, \Bbb R^n), \tag{10}$
as we have seen above; finally, if
$\alpha \in \ker \phi, \tag{11}$
then
$\forall t \in \Bbb R, \; \phi(\alpha) = t\alpha = 0 \Longleftrightarrow \alpha = 0, \tag{12}$
whence
$\ker \phi = \{0\}, \tag{13}$
implying $\phi$ is injective as well; thus $\phi$ is a linear isomorphism 'twixt $\Bbb R^n$ and $\mathcal L(\Bbb R, \Bbb R^n)$.
Nota Bene: As pointed out by our colleague Bernard, the above argument goes through if $\Bbb R$ is replaced by any field $\Bbb K$, and $\Bbb R^n$ is replaced by any vector space $V$ over $\Bbb K$. End of Note.
More generally, for any field $K$ and any $K$-vector space $E$, you have an isomorphism: $$E\simeq \mathscr L(K,E).$$
Hint: What is the dimension of the base field over itself? What do you need to know for a linear map from the base field into a vector space to be entirely determined?