DocumentCode :
2723610
Title :
Optimal Testing of Multivariate Polynomials over Small Prime Fields
Author :
Haramaty, Elad ; Shpilka, Amir ; Sudan, Madhu
Author_Institution :
Fac. of Comput. Sci., Technion - Israel Inst. of Technol., Haifa, Israel
fYear :
2011
fDate :
22-25 Oct. 2011
Firstpage :
629
Lastpage :
637
Abstract :
We consider the problem of testing if a given function f : Fqn→Fq is close to a n-variate degree d polynomial over the finite field Fq of q elements. The natural, low-query, test for this property would be to pick the smallest dimension t = tq,d≈ d/q such that every function of degree greater than d reveals this aspect on some i-dimensional affine subspace of Fqn and to test that f when restricted to a random i-dimensional affine subspace is a polynomial of degree at most d on this subspace. Such a test makes only qt queries, independent of n. Previous works, by Alon et al. [1], and Kaufman and Ron [7] and Jutla et al. [6], showed that this natural test rejected functions that were Ω(1)-far from degree d-polynomials with probability at least Ω,(q-t). (The initial work [1] considered only the case of q = 2, while the work [6] only considered the case of prime q. The results in [7] hold for all fields.) Thus to get a constant probability of detecting functions that are at constant distance from the space of degree d polynomials, the tests made q2t queries. Kaufman and Ron also noted that when q is prime, then qt queries are necessary. Thus these tests were off by at least a quadratic factor from known lower bounds. Bhattacharyya et al. [2] gave an optimal analysis of this test for the case of the binary field and showed that the natural test actually rejects functions that were Ω(1)-far from degree d- polynomials with probability Ω(1). In this work we extend this result for all fields showing that the natural test does indeed reject functions that are Ω(1)-far from degree d polynomials with Ω(1)-probability, where the constants depend only on q the field size. Thus our analysis thus shows that this test is optimal (matches known lower bounds) when q is prime. The main technical ingredi- nt in our work is a tight analysis of the number of "hyperplanes" (affine subspaces of co-dimension 1) on which the restriction of a degree d polynomial has degree less than d. We show that the number of such hyperplanes is at most O(qtq-d) - which is tight to within constant factors.
Keywords :
polynomials; constant distance; hyperplane number; multivariate polynomials; n-variate degree; optimal analysis; optimal testing; polynomial degree; small prime fields; Complexity theory; Computer science; Electronic mail; Frequency modulation; Polynomials; Probabilistic logic; Testing; Low-degree testing; Property Testing; Reed-Muller codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science (FOCS), 2011 IEEE 52nd Annual Symposium on
Conference_Location :
Palm Springs, CA
ISSN :
0272-5428
Print_ISBN :
978-1-4577-1843-4
Type :
conf
DOI :
10.1109/FOCS.2011.61
Filename :
6108224
Link To Document :
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