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Optimal Testing of Reed-Muller Codes | Arnab Bhattacharya
; Swastik Kopparty
; Grant Schoenebeck
; Madhu Sudan
; David Zuckerman
; | Date: |
4 Oct 2009 | Abstract: | We consider the problem of testing if a given function $f : F_2^n o F_2$
is close to any degree $d$ polynomial in $n$ variables, also known as the
Reed-Muller testing problem. Alon et al. cite{AKKLR} proposed and analyzed a
natural $2^{d+1}$-query test for this property and showed that it accepts every
degree $d$ polynomial with probability 1, while rejecting functions that are
$Omega(1)$-far with probability $Omega(1/(d 2^{d}))$. We give an
asymptotically optimal analysis of their test showing that it rejects functions
that are (even only) $Omega(2^{-d})$-far with $Omega(1)$-probability (so the
rejection probability is a universal constant independent of $d$ and $n$).
Our proof works by induction on $n$, and yields a new analysis of even the
classical Blum-Luby-Rubinfeld cite{BLR} linearity test, for the setting of
functions mapping $F_2^n$ to $F_2$. The optimality follows from a tighter
analysis of counterexamples to the "inverse conjecture for the Gowers norm"
constructed by cite{GT,LMS}.
Our result gives a new relationship between the $(d+1)^{
m{st}}$-Gowers norm
of a function and its maximal correlation with degree $d$ polynomials. For
functions highly correlated with degree $d$ polynomials, this relationship is
asymptotically optimal. Our improved analysis of the cite{AKKLR}-test also
improves the parameters of an XOR lemma for polynomials given by Viola and
Wigderson cite{VW}. Finally, the optimality of our result also implies a
"query-hierarchy" result for property testing of linear-invariant properties:
For every function $q(n)$, it gives a linear-invariant property that is
testable with $O(q(n))$-queries, but not with $o(q(n))$-queries, complementing
an analogous result of cite{GKNR08} for graph properties. | Source: | arXiv, 0910.0641 | Services: | Forum | Review | PDF | Favorites |
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