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Detecting monomials with k distinct variables

机译:用k个不同的变量检测单项式

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We study the complexity of detecting monomials with special properties in the sum-product expansion of a polynomial represented by an arithmetic circuit of size polynomial in the number of input variables and using only multiplication and addition. We focus on monomial properties expressed in terms of the number of distinct variables occurring in a monomial. Our first result is a randomized FPT algorithm for detection of a monomial having at least k distinct variables, parametrized with respect to k. For a more restricted class of circuits, we can also provide a deterministic FPT algorithm for detection of a monomial having at most k distinct variables parametrized by the degree of the polynomial represented by the input circuit. Furthermore, we derive several hardness results on detection of monomials with such properties within exact, parametrized and approximation complexity. In particular, we observe that the detection of a monomial having at most k distinct variables is W[2]-hard for the parameter k.
机译:我们研究了在多项式的和积展开中检测具有特殊性质的单项式的复杂性,该多项式由大小多项式的算术电路在输入变量数量上表示,并且仅使用乘法和加法来表示。我们专注于用单项式中出现的不同变量的数量表示的单项式特性。我们的第一个结果是随机FPT算法,用于检测具有至少k个相对于k参数化的变量的单项式。对于更严格的电路类别,我们还可以提供确定性的FPT算法,以检测具有最多k个由输入电路表示的多项式的阶数参数化的k个不同变量的单项式。此外,我们在检测具有这些特性的精确,参数化和近似复杂度的单项式单体时得出一些硬度结果。特别地,我们观察到,对于参数k,最多具有k个不同变量的单项式的检测是W [2]-困难的。

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