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Regular Expression Length via Arithmetic Formula Complexity

机译:通过算术公式复杂度进行正则表达长度

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We prove lower bounds on the length of regular expressions for finite languages by methods from arithmetic circuit complexity. First, we show a reduction from expression length to monotone arithmetic formula size. This yields lower bounds of nk~(Ω(log k)) for the binomial language of all words with exactly k ones and n - k zeros, and of n~(Ω(log n)) for the language of all Dyck words of length 2n. We also determine the blow-up of expression length when applying the operations intersection or shuffle to finite languages. Second, we adapt a lower bound method for multilinear arithmetic formulas by Hrubes and Yehudayoff to regular expressions. With this method we give a tight lower bound of Ω(n~(-1)p~(log(n/logp)-2)) for the language of all binary numbers with n bits that are divisible by a given odd integer p.
机译:通过算术电路复杂性的方法,我们证明了用于有限语言的正则表达式的界限。首先,我们展示了表达式的减少,以单调算术公式大小。这产生了NK〜(ω(log k)的下限,用于所有单词的二项式语言,恰好k kner和n - k zeros,以及所有Dyck单词的语言的n〜(log n))长度2n。当将操作交叉点或随机播放到有限语言时,我们还确定表达式长度的爆发。其次,我们通过HRUBES和Yehudayoff对多线性算术公式的较低界限方法对正则表达式。使用这种方法,我们为所有二进制数的语言提供了紧密的下限(n〜(n〜(n〜(-1)p〜(log(n / logp)-2)),其中所有二进制数字的语言都是由给定奇数整数p可分离的n位。

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