Testing Properties of Boolean Functions: Lower Bounds on Testing Fourier Degree
نویسندگان
چکیده
We consider the problem of deciding whether a given object has a given property or it is far from any object with the property, referred to as property testing. We focus on the case where the objects are Boolean functions, and we survey some of the previously known results about testing for properties such as the number of relevant variables and Fourier degree of a Boolean function. We present the recently developed technique for proving lower bounds in property testing, which is based on showing connections between property testing and communication complexity [13]. For the problem of testing whether a Boolean function has Fourier degree ≤ k or it is ǫ-far from any Boolean function with Fourier degree ≤ k, we improve the known lower bound of Ω(k) [13, 18], to Ω(k/ √ ǫ), using reductions from communication complexity. ∗Department of Computer Science, University of Chicago. Email:[email protected]
منابع مشابه
Lower Bounds on Testing Functions of Low Fourier Degree
We consider the problem of testing whether a Boolean function has Fourier degree ≤ k or it is ǫ-far from any Boolean function with Fourier degree ≤ k, we improve the known lower bound of Ω(k) [4, 6], to Ω(k/ √ ǫ). The lower bound uses the recently discovered connections between property testing and communication complexity by Blais et. al. [4]
متن کاملTesting Properties of Boolean Functions
Given oracle access to some boolean function f, how many queries do we need to test whether f is linear? Or monotone? Or whether its output is completely determined by a small number of the input variables? This thesis studies these and related questions in the framework of property testing introduced by Rubinfeld and Sudan (’96). The results of this thesis are grouped into three main lines of ...
متن کاملTesting Fourier Dimensionality and Sparsity
We present a range of new results for testing properties of Boolean functions that are defined in terms of the Fourier spectrum. Broadly speaking, our results show that the property of a Boolean function having a concise Fourier representation is locally testable. We give the first efficient algorithms for testing whether a Boolean function has a sparse Fourier spectrum (small number of nonzero...
متن کاملProperty Testing Bounds for Linear and Quadratic Functions via Parity Decision Trees
In this paper, we study linear and quadratic Boolean functions in the context of property testing. We do this by observing that the query complexity of testing properties of linear and quadratic functions can be characterized in terms of complexity in another model of computation called parity decision trees. The observation allows us to characterize testable properties of linear functions in t...
متن کاملTesting Properties of Linear Functions
The function f : F2 → F2 is k-linear if it returns the sum (over F2) of exactly k coordinates of its input. We introduce strong lower bounds on the query complexity for testing whether a function is k-linear. We show that for any k ≤ n 2 , at least k−o(k) queries are required to test k-linearity, and we show that when k ≈ n 2 , this lower bound is nearly tight since 4 3 k+o(k) queries are suffi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011