Amplifying Lower Bounds by Means of Self-Reducibility
Amplifying Lower Bounds by Means of Self-Reducibility
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发表时间:
2008
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通讯作者:
M. Koucký
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作者:
Eric Allender;M. Koucký
We observe that many important computational problems in NC<sup>1</sup> share a simple self-reducibility property. We then show that, for any problem A having this self-reducibility property, A has polynomial size TC<sup>0</sup> circuits if and only if it has TC<sup>0</sup> circuits of size n<sup>1+isin</sup> for every isin>0 (counting the number of wires in a circuit as the size of the circuit). As an example of what this observation yields, consider the Boolean formula evaluation problem (BFE), which is complete for NC<sup>1</sup>. It follows from a lower bound of Impagliazzo, Paturi, and Saks, that BFE requires depth d TC<sup>0</sup> circuits of size n<sup>1+isin</sup> <sup>d</sup>. If one were able to improve this lower bound to show that there is some constant isin>0 such that every TC<sup>0</sup> circuit family recognizing BFE has size n<sup>1+isin</sup>, then it would follow that TC<sup>0</sup>neNC<sup>1</sup>. We also show that problems with small uniform constant- depth circuits have algorithms that simultaneously have small space and time bounds. We then make use of known time-space tradeoff lower bounds to show that SAT requires uniform depth d TC<sup>0</sup> and AC<sup>0</sup> [6] circuits of size n<sup>1+c</sup> for some constant c depending on d.