local bernstein type inequality for multivariate polynomials Let's say $p(x_1,...,x_n)$ is an n-variate degree d homogenous polynomial. Assume $U \subset S^{n-1}$  and $ vol(U) > 0 $ is there any Bernstein type inequality saying 
$$ \max_{x \in U , y \in S^{n-1}} | \langle \nabla p(x) , y \rangle | \leq C(p) \max_{x \in U} | p(x) | $$
$C(p)$ could be any type of function depending on coefficients of $p$.
 A: Take $p=2x_1x_2$, and $U=U_r$ a small disk of radius $r$ in $S^{n-1}$ in centered at $(1,0,\dotsc, 0)$. $\newcommand{\pa}{\partial}$ Then $\nabla p(x)=2x_2\pa_{x_1}+2x_1\pa_{x_2}$ so that
$$ \sup_{x\in U_r}|\nabla p(x)|\geq 2.$$
On the other hand,
$$\sup_{x\in U_r}|p(x)|= O(r). $$  Thus
$$ \lim_{r\to 0}\frac{\sup_{x\in U_r}|\nabla p(x)|}{\sup_{x\in U_r}|p(x)|}=\infty. $$
Thus the constant $C(p)$ has to depend on the region  $U$ as well.  On the other hand, you can find a constant that is independent of $p$, but dependent on $U$ and on the degree of $p$.  
Denote by $H_d$ the space of degree $d$  homogeneous polynomials in $n$ variables. For $p\in H_d$ define
$$\Vert p\Vert_{U,0}:=\sup_{x\in U} |p(x)|,$$
$$\Vert p\Vert_{U,1}:=\sup_{x\in U}|\nabla p(x)|. $$
Because ${\rm vol}\,(U)>0$ we have 
$$ p\in H_d,\;\;\Vert p\Vert_{U,0}=0  \Longleftrightarrow p=0. $$
Indeed, the set $\{p=0\}\cap S^{n-1}$ is semialgebraic and, if it contains the set $U$ of nonzero volume (in $S^{n-1}$), it also contains  an open subset of $S^{n-1}$. By unique continuation, $p$ must be identically zero on$ S^{n-1}$.
Similarly, if $\Vert p\Vert_{U,1}=0$ we deduce that $\nabla p=0$ on $U$. Arguing as before we deduce that $\nabla p=0$ on $S^{n-1}$ and, in particular $p$ is constant on $S^{n-1}$. Since $p$ is a homogeneous polynomial of degree $d$, we deduce that it must have the form $p(x)= C|x|^{d/2}$. The gradient of this function is not zero if $d>0$.   We thus have
$$ d>0\;\; p\in H_d,\;\;\Vert p\Vert_{U,1}=0\Longleftrightarrow p=0. $$
Thus, when $d>0$, the  functions $\Vert p\Vert_{U,0}$ and $\Vert p\Vert_{U,1}$ are norms on the finite dimensional vector space $H_d$ and, as such, they are equivalent.
