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.