Query-Monotonic Turing Reductions
Lane A. Hemaspaandra, Mayur Thakur

TL;DR
This paper investigates restrictions on Turing reductions that limit adaptivity by controlling the sequence of query lengths, revealing their relative power and identifying classes of problems where these restrictions are equivalent to general Turing reductions.
Contribution
It introduces and analyzes query-monotonic Turing reductions, establishing their comparative strength and identifying classes like tight paddable sets where these restrictions are equivalent to unrestricted reductions.
Findings
Query-increasing and query-decreasing reductions are incomparable with truth-table reductions.
These reductions are strictly weaker than general Turing reductions.
Many NP-complete problems are tight paddable, making these reductions effectively equivalent for them.
Abstract
We study reductions that limit the extreme adaptivity of Turing reductions. In particular, we study reductions that make a rapid, structured progression through the set to which they are reducing: Each query is strictly longer (shorter) than the previous one. We call these reductions query-increasing (query-decreasing) Turing reductions. We also study query-nonincreasing (query-nondecreasing) Turing reductions. These are Turing reductions in which the sequence of query lengths is nonincreasing (nondecreasing). We ask whether these restrictions in fact limit the power of reductions. We prove that query-increasing and query-decreasing Turing reductions are incomparable with (that is, are neither strictly stronger than nor strictly weaker than) truth-table reductions and are strictly weaker than Turing reductions. In addition, we prove that query-nonincreasing and query-nondecreasing…
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Taxonomy
TopicsComputability, Logic, AI Algorithms · DNA and Biological Computing · Cellular Automata and Applications
