I am looking for a concrete example of a compact convex subset $K$ of $\mathbb{R}^2$ with $(0,0)$ center of symmetry, with a smooth boundary ( a $C^{\infty}$ $1$ dimensional submanifold of $\mathbb{R}^2$), such that its polar dual $K^{\circ}$ also has smooth boundary. Even better if both have analytic boundaries. Moreover, $K$ should not be an ellipse.
Comments: $K^{\circ}$, the convex dual is defined by $$K^{\circ} = \{ v \in \mathbb{R}^2\ | \ \langle v,u\rangle \le 1 \text{ for all } u \in K \}$$ (if we use $|\cdot |$ in the inequality we get the same thing).
It is easy to see that $K^{\circ}$ is compact, convex and symmetric. Moreover, it is a fact (duality theorem) that $K^{\circ \circ} = K$.
Examples: $K=\{(x,y)\ |\ \frac{x^2}{a^2} + \frac{y^2}{b^2}\le 1\}$. Then $K^{\circ} = \{(x,y)\ |\ a^2 x^2 + b^2 y^2\le 1\}$. In general, if $K=\{(x,y)\ |\ \frac{|x|^p}{a^p} + \frac{|y|^p}{b^p}\le 1\}$ then $K^{\circ} = \{(x,y)\ | \ a^q |x|^q + b^q |y|^q\le 1\}$ where $q$ is the Holder dual of $p$.
In the above example with $p$, $q$, we see that we cannot make both $K$,$K^{\circ}$ with boundary $C^{2}$, unless $p=q=2$.







Given a norm $\|\cdot\|$, consider the function $f(x) = \frac12 \|x\|^2$. If this function is real-analytic outside of $0$, then the unit ball of the norm has analytic boundary, being a level set of $f$ (note that $\nabla f$ vanishes only at $0$).
The Legendre-Fenchel conjugate of $f$ is $g(x) = \frac12\|x\|_*^2$ where $\|\cdot \|_*$ is the dual norm. (Reference). Thus, we want $g$ to be real-analytic as well.
A basic property of conjugate convex functions is that $\nabla g$ is the inverse of $\nabla f$. Also, the inverse of a real-analytic map with nonzero Jacobian is real-analytic.
Thus, what we need is for $f$ to have nonzero Jacobian, which is equivalent to $\|x\|^2$ having nonsingular Hessian matrix. (This is the property that fails for norms like $(x_1^4+x_2^4)^{1/4}$.)
There is an easy way to "fix" any smooth $f$ as above: just add some multiple of the squared Euclidean norm to it. This will add a positive constant to all eigenvalues of the Hessian, making it positive definite.
For example, $$ \|x\| = \sqrt{x_1^2+x_2^2+\sqrt{x_1^4+x_2^4}} $$ is a norm such that both the unit ball $\{x:\|x\|\le 1\}$ and its polar $\{x:\|x\|_*\le 1\}$ have real-analytic boundary.