I'm trying to better understand the symmetric algebra and how it behaves on the dual space of the algebra. Wikipedia states the following:
In mathematics, the symmetric algebra $S(V)$... corresponds to polynomials with indeterminates in $V$, without choosing coordinates. The dual, $S(V^∗)$ corresponds to polynomials on $V$.
I'm trying to understand this distinction better. I think that what they're saying is that $S(V)$ is the set of formal polynomials taking indeterminates in $V$, whereas $S(V^*)$ can be identified with the set of polynomial functions on $V$. I would appreciate a sanity check that I am seeing this right.
Here's how I'm viewing it so far:
For example, suppose your vector space $V$ is over $\Bbb F_2$, the finite field of order 2. Then for any vector $v$, the polynomial $v^2 - v$ is well-defined as a formal expression, and hence is an element of the symmetric algebra $S(V)$.
On the other hand, let $f$ be a linear functional in the dual space $V*$. Then we can likewise construct a formal polynomial $f^2-f$. However, if we actually treat this as a polynomial function on $V$, then for any $v$, $f(v)^2-f(v) = 0$, and hence can be identified with the zero polynomial function.
In other words, in this interpretation, $v^2-v$ exists as a member of $S(V)$, as it is a formal polynomial. However, within $S(V*)$, the polynomial function $f^2-f=0$.
Is this the correct way to view the distinction? Or is it more subtle than this?
"Every polynomial function is a polynomial in these linear functionals, and the space of linear functionals is precisely $V^$. Hence the algebra of polynomial functions can be identified with the full symmetric algebra of the dual* space, ${\rm Sym}(V^*)$."
"To put it in as clear of terms as possible: $S(V^)$ is* the algebra of polynomial functions on $V$, and $S(V)$ isn't, and that's all there is to it." (cont'd)
– Mike Battaglia May 30 '17 at 19:51