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Near-Optimal Upper Bound on Fourier Dimension of Boolean Functions in Terms of Fourier Sparsity

机译:傅里叶稀疏度下布尔函数傅里叶维数的最佳上界

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We prove that the Fourier dimension of any Boolean function with Fourier sparsity s is at most O (s~(1/2) log s). This bound is tight up to a factor of O(log s) as the Fourier dimension and sparsity of the addressing function are quadratically related. We obtain our result by bounding the non-adaptive parity decision tree complexity, which is known to be equivalent to the Fourier dimension. A consequence of our result is that XOR functions have a one way deterministic communication protocol of communication complexity O(r~(1/2)logr), where r is the rank of its communication matrix.
机译:我们证明任何具有傅里叶稀疏性s的布尔函数的傅里叶维数最多为O(s〜(1/2)log s)。由于寻址函数的傅立叶维数和稀疏度是二次相关的,因此此边界严格限制为O(log s)的因数。我们通过限制非自适应奇偶决策树复杂度来获得结果,已知该复杂度等同于傅立叶维。我们的结果的结果是,XOR函数具有一种确定通信复杂度为O(r〜(1/2)logr)的单向通信协议,其中r是其通信矩阵的秩。

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