A Lower Bound on the Complexity of Testing Grained Distributions

A distribution is called m -grained if each element appears with probability that is an integer multiple of 1 /m . We prove that, for any constant c < 1, testing whether a distribution over [Θ( m )] is m -grained requires Ω( m c ) samples, where testing a property of distributions means distinguishing between distributions that have the property and distributions that are far (in total variation distance) from any distribution that has the property.

[1]  Oded Goldreich,et al.  Introduction to Property Testing , 2017 .

[2]  Tugkan Batu,et al.  Generalized Uniformity Testing , 2017, 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS).

[3]  Oded Goldreich The uniform distribution is complete with respect to testing identity to a fixed distribution , 2016, Electron. Colloquium Comput. Complex..

[4]  Gregory Valiant,et al.  Estimating the unseen: an n/log(n)-sample estimator for entropy and support size, shown optimal via new CLTs , 2011, STOC '11.

[5]  Dana Ron,et al.  Strong Lower Bounds for Approximating Distribution Support Size and the Distinct Elements Problem , 2007, 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07).

[6]  M. Anthony,et al.  Advanced linear algebra , 2006 .

[7]  Ronitt Rubinfeld,et al.  Testing random variables for independence and identity , 2001, Proceedings 2001 IEEE International Conference on Cluster Computing.

[8]  Tugkan Batu Testing Properties of Distributions , 2001 .

[9]  Ronitt Rubinfeld,et al.  Testing that distributions are close , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.

[10]  Dana Ron,et al.  Property testing and its connection to learning and approximation , 1996, Proceedings of 37th Conference on Foundations of Computer Science.