Is the identifiaction between a vector space $V$ and its first dual $V^*$ functorial ? How can I see either positive or negative answer ?
EDIT At least with the use of a scalar product!
Is the identifiaction between a vector space $V$ and its first dual $V^*$ functorial ? How can I see either positive or negative answer ?
EDIT At least with the use of a scalar product!
For a real inner product space $( V, \langle\cdot,\cdot\rangle)$ there is a natural map from $V$ to $V^*$. Namely, vector $u \in V$ goes to linear functional $\phi_u \in V^*$ defined by $\phi_u(x) = \langle x,u\rangle$. In case $V$ is finite-dimensional, this is an isomorphism from $V$ to $V^*$. Make it a (contravariant) functor as usual: if $T : V_1 \to V_2$ is a linear transformation, then $T^* : V_2 \to V_1$ satisfies $$ \langle T(x),u \rangle = \langle x,T^*(u)\rangle . $$ That is, with functionals as above, $T^* : V_2^* \to V_1^*$ is $$ T^*(\alpha) = \alpha\circ T,\quad\text{for }\alpha \in V_2^* $$
EDIT: Does this n.t. commutativity square make sense ? How can I justify that it does and that it really commutes ?
$$\begin{array}{ccc} V_1 & \rightarrow & V_1^* \\ {T} \downarrow && \ \ \ \uparrow {T^*}\\ V_2 & \rightarrow & V_2^* \end{array}\tag1$$
added
No, $(1)$ is certainly wrong. If $V_1$ is $\mathbb R^2$ with the Euclidean norm, then we can think of $V_1$ as $1 \times 2$ matrices, and the correspondence $^*$ lets us think of $V_1^*$ as $1\times 2$ matrices. The horizontal arrows map each vector to its transpose. If $T : V_1 \to V_2$ is represented by a $2 \times 2$ matrix acting on the left, then $T^*$ is the transpose matrix acting on the right. For example, if $T = 2I$, twice the identity, then in $(1)$ the arrow across the top is the transpose, while the composition around the other three sides is $4$ times the transpose.