We show that if the boolean hierarchy collapses to level k, then the polynomial hierarchy collapses to BH3(k), where BH3(k) is the kth level of the boolean hierarchy over Sigma(2)(P). This is an improvement over the k...
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We show that if the boolean hierarchy collapses to level k, then the polynomial hierarchy collapses to BH3(k), where BH3(k) is the kth level of the boolean hierarchy over Sigma(2)(P). This is an improvement over the known results, which show that the polynomial hierarchy would collapse to (PO)-O-NPNP[(log n)]. This result is significant in two ways. First, the theorem says that a deeper collapse of the boolean hierarchy implies a deeper collapse of the polynomial hierarchy. Also, this result points to some previously unexplored connections between the boolean and query hierarchies of Delta(2)(P) and Delta(3)(P). Namely, BH(k) = co-BH(k) double right arrow BH3(k) = co-BH3(k), P(NP)parallel to[k] = P(NP)parallel to[k+1] double right arrow P-NPNP parallel to[k+1] = P-NPNP parallel to[k+2].
We introduce the boolean hierarchy of k-partitions over NP for k >= 3 as a generalization of the boolean hierarchy of sets (i.e., 2-partitions) over NP. Whereas the structure of the latter hierarchy is rather simpl...
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We introduce the boolean hierarchy of k-partitions over NP for k >= 3 as a generalization of the boolean hierarchy of sets (i.e., 2-partitions) over NP. Whereas the structure of the latter hierarchy is rather simple the structure of the boolean hierarchy of k-partitions over NP for k >= 3 turns out to be much more complicated. We formulate the Embedding Conjecture which enables us to get a complete idea of this structure. This conjecture is supported by several partial results. (c) 2007 Elsevier Inc. All rights reserved.
In this paper, we study the complexity of sets formed by boolean operations (union, intersection, and complement) on NP sets. These are the sets accepted by trees of hardware with NP predicates as leaves, and together...
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In this paper, we study the complexity of sets formed by boolean operations (union, intersection, and complement) on NP sets. These are the sets accepted by trees of hardware with NP predicates as leaves, and together these form the boolean hierarchy.
The boolean hierarchy I: Structural Properties [J. Cai et al., SIAM J. Comput ., 17 (1988), pp. 1232–252] explores the structure of the boolean hierarchy, the closure of NP with respect to boolean operations. This pa...
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The boolean hierarchy I: Structural Properties [J. Cai et al., SIAM J. Comput ., 17 (1988), pp. 1232–252] explores the structure of the boolean hierarchy, the closure of NP with respect to boolean operations. This paper uses the boolean hierarchy as a tool with which to extend and explain three important results in structural complexity theory.
Let M-k be a given set of k integers. Define Exact-M-k-Colorability to be the problem of determining whether or not chi(G), the chromatic number of a given graph G, equals one of the k elements of the set M-k exactly....
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Let M-k be a given set of k integers. Define Exact-M-k-Colorability to be the problem of determining whether or not chi(G), the chromatic number of a given graph G, equals one of the k elements of the set M-k exactly. In 1987, Wagner [Theoret. Comput. Sci. 51 (1987) 53-80] proved that Exact-Mk-Colorability is BH2k (NP)-complete, where M-k = {6k + 1, 6k + 3,...,8k - 1} and BH2k (NP) is the 2kth level of the boolean hierarchy over NP. In particular, for k = 1, it is DP-complete to determine whether or not chi(G) = 7, where DP = BH2 (NP). Wagner raised the question of how small the numbers in a k-element set M-k can be chosen such that Exact-Mk-Colorability still is BH2k (NP) -complete. In particular. for k = 1. he asked if it is DP-complete to determine whether or not chi(G) = 4. In this note, we solve Wagner's question and prove the optimal result: For each k greater than or equal to 1, Exact-M-k-Colorability is BH2k (NP)-complete for M-k = {3k + 1, 3k + 3,...,5k - 1}. In particular, for k = 1, we determine the precise threshold of the parameter t is an element of {4. 5. 6. 7} for which the problem Exact-{t}-Colorability jumps from NP to DP-completeness: It is DP-complete to determine whether or not chi(G) = 4, yet Exact-(3)-Colorability is in NP. (C) 2003 Elsevier Science B.V. All rights reserved.
There is a single set that is complete for a variety of nondeterministic time complexity classes with respect to related versions of m-reducibility. This observation immediately leads to transfer results for determini...
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There is a single set that is complete for a variety of nondeterministic time complexity classes with respect to related versions of m-reducibility. This observation immediately leads to transfer results for determinism versus nondeterminism solutions. Also, an upward transfer of collapses of certain oracle hierarchies, built analogously to the polynomial-time or the linear-time hierarchies, can be shown by means of uniformly constructed sets that are complete for related levels of all these hierarchies. A similar result holds for difference hierarchies over nondeterministic complexity classes. Finally, we give an oracle set relative to which the nondeterministic classes coincide with the deterministic ones, for several sets of time bounds, and we prove that the strictness of the tape-number hierarchy for deterministic linear-time Turing machines does not relativize. (C) 2010 Elsevier Inc. All rights reserved.
Polynomial time machines having restricted access to an NP oracle are investigated. Restricted access means that the number of queries to the oracle is restricted or the way in which the queries are made is restricted...
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Polynomial time machines having restricted access to an NP oracle are investigated. Restricted access means that the number of queries to the oracle is restricted or the way in which the queries are made is restricted (e.g., queries made during truth-table reductions). Very different kinds of such restrictions result in the same or comparable complexity classes. In particular, the class P
68Q15
polynomial time oracle machines
number of oracle queries
truth-table reducibility
boolean hierarchy
A modified version of the classical mu-operator as well as the first value operator and the operator of inverting unary functions, applied in combination with the composition of functions and starting from the primiti...
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A modified version of the classical mu-operator as well as the first value operator and the operator of inverting unary functions, applied in combination with the composition of functions and starting from the primitive recursive functions, generate all arithmetically representable functions. Moreover, the nesting levels of these operators are closely related to the stratification of the arithmetical hierarchy. The same is shown for some further function operators known from computability and complexity theory. The close relationships between nesting levels of operators and the stratification of the hierarchy also hold for suitable restrictions of the operators with respect to the polynomial hierarchy if one starts with the polynomial-time computable functions. It follows that questions around P vs. NP and NP vs. coNP can equivalently be expressed by closure properties of function classes under these operators. The polytime version of the first value operator can be used to establish hierarchies between certain consecutive levels within the polynomial hierarchy of functions, which are related to generalizations of the boolean hierarchies over the classes Sigma(p)(k).
Kadin [SIAM J. Comput., 17 (1988), pp. 1263-1282] showed that if the polynomial hierarchy (PH) has infinitely many levels, then for all k, P(SAT[k]) subset-of P(SAT[k+1]). This paper extends Kadin's technique and ...
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Kadin [SIAM J. Comput., 17 (1988), pp. 1263-1282] showed that if the polynomial hierarchy (PH) has infinitely many levels, then for all k, P(SAT[k]) subset-of P(SAT[k+1]). This paper extends Kadin's technique and shows that a proper query hierarchy is not an exclusive property of NP complete sets. In fact, for any A is-an-element-of NP - low3, if PH h. infinitely many levels, then p(A[k]) subset-of p(A[k+1]). Moreover, for the case of parallel queries, p(A parallel-to [k+1]) is not even contained in P(SAT parallel-to [k]). These same techniques can be used to explore some other questions about query hierarchies. For example, if there exists any A such that p(A[2]) = p(SAT[1]), then PH collapses to DELTA-3P.
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