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Low-degree tests at large distances
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Annual ACM Symposium on Theory of Computing archive
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing table of contents
San Diego, California, USA
SESSION: Session 10A table of contents
Pages: 506 - 515  
Year of Publication: 2007
ISBN:978-1-59593-631-8
Author
Alex Samorodnitsky  Hebrew University, Jerusalem, Israel
Sponsors
ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 7,   Downloads (12 Months): 45,   Citation Count: 5
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ABSTRACT

We define tests of boolean functions which distinguish between linear (or quadratic) polynomials, and functions which are very far, in an appropriate sense, from these polynomials. The tests have optimal or nearly optimal trade-offs between soundness and the number of queries.

A central step in our analysis of quadraticity tests is the proof of aninverse theorem for the third Gowers uniformity norm of boolean functions.

The last result implies that it ispossible to estimate efficiently the distance from the second-order Reed-Muller code on inputs lying far beyond its list-decoding radius.

Our main technical tools are Fourier analysis on Z2n and methods from additive number theory. We observe that these methods can be used to give a tight analysis of the Abelian Homomorphism testing problemfor some families of groups, including powers of Zp.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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