DocumentCode :
655190
Title :
Estimating the Distance from Testable Affine-Invariant Properties
Author :
Hatami, Hamed ; Lovett, Shachar
Author_Institution :
Sch. of Comput. Sci., McGill Univ., Montreal, QC, Canada
fYear :
2013
fDate :
26-29 Oct. 2013
Firstpage :
237
Lastpage :
242
Abstract :
Let P be an affine invariant property of multivariate functions over a constant size finite field. We show that if P is locally testable with a constant number of queries, then one can estimate the distance of a function f from P with a constant number of queries. This was previously unknown even for simple properties such as cubic polynomials over the binary field. Our test is simple: take a restriction of f to a constant dimensional affine subspace, and measure its distance from P. We show that by choosing the dimension large enough, this approximates with high probability the global distance of f from P. The analysis combines the approach of Fischer and Newman [SIAM J. Comp 2007] who established a similar result for graph properties, with recently developed tools in higher order Fourier analysis, in particular those developed in Bhattacharyya et al. [STOC 2013].
Keywords :
Fourier analysis; affine transforms; graph theory; polynomials; probability; affine invariant property; binary field; constant dimensional affine subspace; constant size finite field; cubic polynomials; global distance; graph property; higher order Fourier analysis; multivariate functions; probability; testable affine-invariant property; Computer science; Correlation; Educational institutions; Frequency modulation; Polynomials; Probabilistic logic; Testing; affine invariant properties; higher-order fourier analysis; property testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science (FOCS), 2013 IEEE 54th Annual Symposium on
Conference_Location :
Berkeley, CA
ISSN :
0272-5428
Type :
conf
DOI :
10.1109/FOCS.2013.33
Filename :
6686159
Link To Document :
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