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A lower bound for integer multiplication on randomized ordered read-once branching programs

机译:随机有序读一次分支程序上整数乘法的下限

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摘要

We prove an exponential lower bound 2~(Ω(n/log n)) on the size of any randomized ordered read-once branching program computing integer multiplication. Our proof depends on proving a new lower bound on Yao's randomized one-way communication complexity of certain Boolean functions. It generalizes to some other models of randomized branching programs. In contrast, we prove that testing integer multiplication, contrary even to a non-deterministic situation, can be computed by randomized ordered read-once branching program in polynomial size. It is also known that computing the latter problem with deterministic read-once branching programs is as hard as factoring integers.
机译:我们证明了计算整数乘法的任何随机有序读一次分支程序的大小都具有指数下界2〜(Ω(n / log n))。我们的证明依赖于证明姚明某些布尔函数的随机单向通信复杂度的新下界。它推广到随机分支程序的其他一些模型。相反,我们证明,即使是不确定的情况,也可以通过多项式大小的随机有序读一次分支程序来计算整数乘法。还知道用确定性一次读取分支程序计算后一个问题与分解整数一样困难。

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