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Abstract

In this paper we present an approach for proving Θp in2 sup -completeness. There are several papers in which different problems of logic, of combinatorics, and of approximation are stated to be complete for parallel access to NP, i.e.Θp in2 sup -complete.
There is a special acceptance concept for nondeterministic Turing machines which allows a characterization of Θp in2 sup as a polynomial-time bounded class.
This characterization is the starting point of this paper. It makes a master reduction from that type of Turing machines to suitable boolean formula problems possible. From the reductions we deduce a couple of conditions that are sufficient for proving Θp in2 sup -hardness. These new conditions are applicable in a canonical way. Thus we are able to do the following: (i) we can prove the Θp in2 sup for different combinatorial problems (e.g. max-card-clique compare) as well as for optimization problems (e.g. the Kemeny voting scheme), (ii) we can simplify known proofs for Θp in2 sup (e.g. for the Dodgson voting scheme), and (iii) we can transfer this technique for proving Δp in2 sup -completeness (e.g. TSPcompare).
Supported in part by grant NSF-INT-9815095/DAAD-315-PPP-gü-ab.

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