Formulation of the Conjecture
Let $\Omega =(0,\pi)\times (0,2\pi)\subset\mathbb R^2$ and let $\psi:\Omega\to \mathbb{R}$ defined by $$\psi(x,t)=\sum_{k\in S \,j\in S'} \sin(kx)\left( a_{kj}\sin(jt)+b_{kj}\cos(jt)\right),$$ where $\int_\Omega \psi^2 = 1$ and $S,S'\subset \mathbb N$ are finite subsets of $\mathbb N$.
Note: $\psi$ is a given and fixed trigonometric polynomial with norm in $L^2(\Omega)$ equal to 1. For the conjecture $\Omega$ could be other region, for example $(0,2\pi)^2$, and $\psi$ could be a more general trigonometric polynomial. But this simpler case is the case we are interested in.
There are $\epsilon_0,\alpha>0$ such that if $\epsilon\in(0,\epsilon_0)$, then $$\mu(\{(x,t)\in\Omega\,:\,|\psi(x,t)|<\epsilon\})<\epsilon^\alpha$$
where $\mu$ is the Lebesgue Measure in $\mathbb R^2$.
Experimental Approach
Here is an IPython notebook I made with the corresponding experimentation
Related Previous Works
- This paper is about Van Der Corput's Lemma in higher dimension. We don't know how to apply It.
- This paper is about polynomials in random variables. We don't know how to use It eather in this case.
Ideas given by experts
Experts in orthogonal polynomials recommended the use of Chebyshev Polynomials. But it seems to be a not very obvious problem.
Question
¿How to prove the conjecture exposed above?