MFCS 2003: Mathematical Foundations of Computer Science 2003 pp 612-621 | Cite as
On Converting CNF to DNF
Conference paper
Abstract
We study how big the blow-up in size can be when one switches between the CNF and DNF representations of boolean functions. For a function f:{0,1} n →{0,1}, \({\mathsf{cnfsize}}\left(f\right)\) denotes the minimum number of clauses in a CNF for f; similarly, \({\mathsf{dnfsize}}\left(f\right)\) denotes the minimum number of terms in a DNF for f. For 0≤ m ≤ 2 n − 1, let \({\mathsf{dnfsize}}\left(m,n\right)\) be the maximum \({\mathsf{dnfsize}}\left(f\right)\) for a function f:{0,1} n →{0,1} with \({\mathsf{cnfsize}}\left(f\right) \leq m\). We show that there are constants c 1,c 2 ≥ 1 and ε > 0, such that for all large n and all \(m \in [ \frac{1}{\epsilon}n,2^{\epsilon{n}}]\), we have
In particular, when m is the polynomial n c , we get \({\mathsf{dnfsize}} (n^c,n) = 2^{n -\theta(c^{-1}\frac{n}{\log n})}\).
$$ 2^{n -- c_1\frac{n}{\log(m/n)}}~ \leq~ {\mathsf{dnfsize}}(m,n) ~\leq~ 2^{n-c_2 \frac{n}{\log(m/n)}}.$$
Keywords
Boolean Function Vertex Cover Disjunctive Normal Form Binary Decision Diagram Small Clause
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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