期刊名称:Electronic Colloquium on Computational Complexity
印刷版ISSN:1433-8092
出版年度:1997
卷号:1997
出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
摘要:A polynomial time computable function h: whose range
is the set of tautologies in Propositional Logic (TAUT), is called
a proof system. Cook and Reckhow defined this concept
and in order to compare the relative strenth of different proof systems,
they considered the notion of p-simulation. Intuitively a proof system
h p-simulates a second one h if there is a polynomial time computable
function translating proofs in h into proofs in h.
A proof system is called optimal if it p-simulates every other proof system.
The question of whether p-optimal proof systems exist is an important one
in the field. Kraj\'{\i}\v{c}ek and Pudl\'ak have given a sufficient condition
for the existence of such optimal systems, showing that if the deterministic
and nondeterministic exponential time classes coincide, then
p-optimal proof systems exist. They also give a condition implying the
existence of optimal proof systems
(a related concept to the one of p-optimal systems) exist.
In this paper we improve this result giving a weaker sufficient condition
for this fact. We show that if a particular class of sets with low information
content in nondeterministic double exponential time is included in
the corresponding nondeterministic class, then p-optimal proof systems exist.
We also show some complexity theoretical consequences that follow from
the assumption of the existence of p-optimal systems. We prove that
if p-optimal systems exist the the class UP (an some other related complexity
classes) have many-one complete languages, and that many-one complete sets for
NP SPARSE follow from the existence of optimal proof systems.