IEEE Transactions on Pattern Analysis and Machine Intelligence
A course in computational algebraic number theory
A course in computational algebraic number theory
Property testing and its connection to learning and approximation
Journal of the ACM (JACM)
Robust Characterizations of Polynomials withApplications to Program Testing
SIAM Journal on Computing
Regular Languages are Testable with a Constant Number of Queries
SIAM Journal on Computing
Testing Basic Boolean Formulae
SIAM Journal on Discrete Mathematics
Testing subgraphs in large graphs
Random Structures & Algorithms - Special issue: Proceedings of the tenth international conference "Random structures and algorithms"
Three theorems regarding testing graph properties
Random Structures & Algorithms
Testing Polynomials over General Fields
FOCS '04 Proceedings of the 45th Annual IEEE Symposium on Foundations of Computer Science
Testing Low-Degree Polynomials over Prime Fields
FOCS '04 Proceedings of the 45th Annual IEEE Symposium on Foundations of Computer Science
Testing subgraphs in directed graphs
Journal of Computer and System Sciences - Special issue: STOC 2003
Every monotone graph property is testable
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Some 3CNF Properties Are Hard to Test
SIAM Journal on Computing
A Characterization of the (natural) Graph Properties Testable with One-Sided Error
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
A combinatorial characterization of the testable graph properties: it's all about regularity
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
Graph limits and parameter testing
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
Algebraic property testing: the role of invariance
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Note: A combinatorial proof of the Removal Lemma for Groups
Journal of Combinatorial Theory Series A
Green's conjecture and testing linear-invariant properties
Proceedings of the forty-first annual ACM symposium on Theory of computing
Testability and repair of hereditary hypergraph properties
Random Structures & Algorithms
Generalizations of the removal lemma
Combinatorica
Invariance in property testing
Property testing
Testing linear-invariant non-linear properties: a short report
Property testing
Invariance in property testing
Property testing
Testing linear-invariant non-linear properties: a short report
Property testing
Testing odd-cycle-freeness in Boolean functions
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
SIAM Journal on Discrete Mathematics
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Let f1, f2, f3: Fn2 → {0, 1} be three Boolean functions. We say a triple (x, y, x + y) is a triangle in the function-triple (f1, f2, f3) if f1(x) = f2(y) = f3(x + y) = 1. (f1, f2, f3) is said to be triangle-free if there is no triangle in the triple. The distance between a function-triple and triangle-freeness is the minimum fraction of function values one needs to modify in order to make the function-triple triangle-free. A canonical tester for triangle-freeness repeatedly picks x and y uniformly and independently at random and checks if f1(x) = f2(y) = f3(x + y) = 1. Based on an algebraic regularity lemma, Green showed that the number of queries for the canonical testing algorithm is upper-bounded by a tower of 2's whose height is polynomial in 1/ε. A trivial query complexity lower bound of Ω(1/ε) is straightforward to show. In this paper, we give the first non-trivial query complexity lower bound for testing triangle-freeness in Boolean functions. We show that, for every small enough ε there exists an integer n0 (ε) such that for all n ≥ n0 there exists a function-triple f1, f2, f3: Fn2 → {0, 1} depending on all the n variables which is ε-far from being triangle-free and requires (1/ε)4.847... queries for the canonical tester. For the single function case that f1 = f2 = f3, we obtain a weaker lower bound of (1/ε)3.409.... We also show that the query complexity of any general (possibly adaptive) one-sided tester for triangle-freeness is at least square-root of the query complexity of the corresponding canonical tester. Consequently, this yields (1/ε)2.423... and (1/ε)1.704... query complexity lower bounds for multi-function and single-function triangle-freeness respectively, with respect to general one-sided testers.