Abstract
We develop a polynomial method on finite fields to amplify the hardness of spare sets in nondeterministic time complexity classes on a randomized streaming model. One of our results shows that if there exists a -sparse set in that does not have any randomized streaming algorithm with updating time, and space, then , where a -sparse set is a language that has at most strings of length . We also show that if MCSP is -hard under polynomial time truth-table reductions, then .
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