Self-Reducibility of Hard Counting Problems with Decision Version in P

نویسندگان

  • Aris Pagourtzis
  • Stathis Zachos
چکیده

Many NP-complete problems have counting versions which are #P-complete. On the other hand, #Perfect Matchings is also Cook-complete for #P, which is surprising as Perfect Matching is actually in P (which implies that #Perfect Matchings cannot be Karp-complete for #P). Here, we study the complexity class #PE (functions of #P with easy decision version). The inclusion #PE ⊆ #P is proper unless P = NP. Several natural #PE problems (e.g., #Perfect Matchings, #DNF-Sat, #NonCliques) are shown to possess a specific self-reducibility property. This implies membership in class TotP [KPSZ98,PZ05]. We conjecture that all non-trivial problems of #PE share this self-reducibility property.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Self-reducible with easy decision version counting problems admit additive error approximation. Connections to counting complexity, exponential time complexity, and circuit lower bounds

We consider the class of counting problems,i.e. functions in #P, which are self reducible, and have easy decision version, i.e. for every input it is easy to decide if the value of the function f(x) is zero. For example, #independent-sets of all sizes, is such a problem, and one of the hardest of this class, since it is equivalent to #SAT under multiplicative approximation preserving reductions...

متن کامل

The Parameterized Complexity of Counting Problems

We develop a parameterized complexity theory for counting problems. As the basis of this theory, we introduce a hierarchy of parameterized counting complexity classes #W[t], for t ≥ 1, that corresponds to Downey and Fellows’s W-hierarchy [13] and show that a few central W-completeness results for decision problems translate to #W-completeness results for the corresponding counting problems. Cou...

متن کامل

On Self-Reducibility and Reoptimization of Closest Substring Problem

In this paper, we define the reoptimization variant of the closest substring problem (CSP) under sequence addition. We show that, even with the additional information we have about the problem instance, the problem of finding a closest substring is still NP-hard. We investigate the combinatorial property of optimization problems called self-reducibility. We show that problems that are polynomia...

متن کامل

On randomized counting versus randomised decision

We study the question of which counting problems admit f.p.r.a.s., under a structural complexity perspective. Since problems in #P with NP-complete decision version do not admit f.p.r.a.s. (unless NP = RP), we study subclasses of #P, having decision version either in P or in RP. We explore inclusions between these subclasses and we present all possible worlds with respect to NP v.s. RP and RP v...

متن کامل

Relating counting complexity to non-uniform probability measures

A standard method for designing randomized algorithms to approximately count the number of solutions of a problem in #P, is by constructing a rapidly mixing Markov chain converging to the uniform distribution over this set of solutions. This construction is not always an easy task, and it is conjectured that it is not always possible. We want to investigate other possibilities for using Markov ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005