Monotone DNF Formula That Has a Minimal or Maximal Number of Satisfying Assignments

نویسندگان

  • Takayuki Sato
  • Kazuyuki Amano
  • Eiji Takimoto
  • Akira Maruoka
چکیده

We consider the following extremal problem: Given three natural numbers n, m and l, what is the monotone DNF formula that has a minimal or maximal number of satisfying assignments over all monotone DNF formulas on n variables with m terms each of length l? We first show that the solution to the minimization problem can be obtained by the Kruskal-Katona theorem developed in extremal set theory. We also give a simple procedure that outputs an optimal formula for the more general problem that allows the lengths of terms to be mixed. We then show that the solution to the maximization problem can be obtained using the result of Bollobás on the number of complete subgraphs when l = 2 and the pair (n,m) satisfies a certain condition. Moreover, we give the complete solution to the problem for the case l = 2 and m ≤ n, which cannot be solved by direct application of Bollobás’s result. For example, when n = m, an optimal formula is represented by a graph consisting of ⌊n/3⌋ − 1 copies of C3 and one C3+(n mod 3), where Ck denotes a cycle of length k.

برای دانلود رایگان 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

Lecture 25

Given a DNF formula φ with n variables, DNF counting is the problem finding the number of satisfying assignments for φ. Note that in general satisfiability for DNF is easy as we need only satisfy a single clause, but the counting problem is hard. Indeed, if we could do this, then given any 3-CNF formula f with n variables, we could take its negation, count how many satisfying assignments its ne...

متن کامل

Complexity of DNF and Isomorphism of Monotone Formulas

We investigate the complexity of finding prime implicants and minimal equivalent DNFs for Boolean formulas, and of testing equivalence and isomorphism of monotone formulas. For DNF related problems, the complexity of the monotone case strongly differs from the arbitrary case. We show that it is DP-complete to check whether a monomial is a prime implicant for an arbitrary formula, but checking p...

متن کامل

Extracting Minimal and Closed Monotone DNF Formulas

In this paper, first we introduce minimal and closed monotone DNF formulas as extensions of maximal and closed itemsets. Next, by incorporating the algorithm dnf cover designed by Hirata et al. (2003) with the algorithm Charm designed by Zaki and Hsiao (2002), we design the algorithm cdnf cover to extract closed monotone DNF formulas with a pruning as same as dnf cover . Finally, we implement c...

متن کامل

Extraction of Coverings as Monotone DNF Formulas

In this paper, we extend monotone monomials as large itemsets in association rule mining to monotone DNF formulas. First, we introduce not only the minimum support but also the maximum overlap, which is a new measure how much all pairs of two monomials in a monotone DNF formula commonly cover data. Next, we design the algorithm dnf cover to extract coverings as monotone DNF formulas satisfying ...

متن کامل

Monte-Carlo Approximation Algorithms for Enumeration Problems

We develop polynomial time Monte-Carlo algorithms which produce good approximate solutions to enumeration problems for which it is known that the computation of the exact solution is very hard. We start by developing a Monte-Carlo approximation algorithm for the DNF counting problem, which is the problem of counting the number of satisfying truth assignments to a formula in disjunctive normal f...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008