2011 IEEE 52nd Annual Symposium on Foundations of Computer Science 2011
DOI: 10.1109/focs.2011.61
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Optimal Testing of Multivariate Polynomials over Small Prime Fields

Abstract: We consider the problem of testing if a given function f : F n q → F q is close to a n-variate degree d polynomial over the finite field F q of q elements. The natural, low-query, test for this property would be to pick the smallest dimension t = t q,d ≈ d/q such that every function of degree greater than d reveals this feature on some t-dimensional affine subspace of F n q and to test that f when restricted to a random t-dimensional affine subspace is a polynomial of degree at most d on this subspace. Such a … Show more

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Cited by 11 publications
(23 citation statements)
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“…Our result also sets into proper light the previous work of Haramaty et al [14] who show that the "natural test" for degree d polynomials over the field F q of characteristic p makes q (d+1)/(q−q/p) queries and is absolutely sound. Our result does not mention any dependence on p, the characteristic of the field.…”
Section: Our Work: Motivation and Resultssupporting
confidence: 82%
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“…Our result also sets into proper light the previous work of Haramaty et al [14] who show that the "natural test" for degree d polynomials over the field F q of characteristic p makes q (d+1)/(q−q/p) queries and is absolutely sound. Our result does not mention any dependence on p, the characteristic of the field.…”
Section: Our Work: Motivation and Resultssupporting
confidence: 82%
“…Applying Theorem 1.1 to RM(n, d, q) we immediately obtain the main results of [7] and [14]. And the somewhat cumbersome dependence on the characteristic of q can be blamed on the proposition above, rather than any weakness of the testing analysis.…”
Section: Our Work: Motivation and Resultsmentioning
confidence: 82%
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“…Additive combinatorics has recently found a great deal of remarkable applications to computer science and cryptography; for example, to expanders [20,21,38,44,52,53,54,55,62,63,66,105,106,167,206,283,342], extractors [19,20,26,28,38,41,103,104,107,167,182,217,346,350], pseudorandomness [33,223,226,227,301] (also, [331,334] are two surveys and [335] is a monograph on pseudorandomness), property testing [31,176,177,181,203,204,270,281,332] (see also …”
Section: Introductionmentioning
confidence: 99%