Combinatorica
Property testing in bounded degree graphs
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Computational indistinguishability: a sample hierarchy
Journal of Computer and System Sciences
Testing the Diameter of Graphs
RANDOM-APPROX '99 Proceedings of the Third International Workshop on Approximation Algorithms for Combinatorial Optimization Problems: Randomization, Approximation, and Combinatorial Algorithms and Techniques
Testing that distributions are close
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
An Expansion Tester for Bounded Degree Graphs
ICALP '08 Proceedings of the 35th international colloquium on Automata, Languages and Programming, Part I
On the power of conditional samples in distribution testing
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
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We consider testing graph expansion in the bounded-degree graph model. Specifically, we refer to algorithms for testing whether the graph has a second eigenvalue bounded above by a given threshold or is far from any graph with such (or related) property. We present a natural algorithm aimed towards achieving the foregoing task. The algorithm is given a (normalized) eigenvalue bound λ 0. The algorithm runs in time N0.5+α/poly(ε), and accepts any graph having (normalized) second eigenvalue at most λ. We believe that the algorithm rejects any graph that is ε-far from having second eigenvalue at most λα/O(1), and prove the validity of this belief under an appealing combinatorial conjecture.