Low rank approximation of polynomials

preprint2012arXivOpen access

Abstract

Let k≤nk\leq n. Each polynomial $p\in\oR[x_1,...,x_n]$ can be uniquely written as p=∑μμpμp=\sum_μμp_μ, where μμ ranges over the set MM of all monomials in $\oR[x_1,...,x_k]$ and where $p_μ\in\oR[x_{k+1},...,x_n]$. If pp is dd-homogeneous and ε>0\varepsilon>0, we say that pp is {\em ε\varepsilon-concentrated on the first kk variables} if $$\sum_{μ\in M\atop°(μ)<d}\max_{x\in\oR^{n-k}\atop\|x\|=1}p_μ(x)^2\leq\varepsilon\|p\|^2,$$ where ∥p∥\|p\| is the Bombieri norm of pp. We show that for each $d\in\oN$ and ε>0\varepsilon>0 there exists kd,εk_{d,\varepsilon} such that for each nn and each dd-homogeneous $p\in\oR[x_1,...,x_n]$ there exists k≤kd,εk\leq k_{d,\varepsilon} such that pp is ε\varepsilon-concentrated on the first kk variables {\em after some orthogonal transformation of $\oR^n$}. (So kd,εk_{d,\varepsilon} is independent of the number nn of variables.) We derive this as a consequence of a more general theorem on low rank approximation of polynomials.

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