SearcharxivSearch

arXiv subjects

Tobias Lindhardt Overgaard

Publications and source records attributed to Tobias Lindhardt Overgaard.

2 recordsLinked to original sources

On the Regularity of Random 2-SAT and 3-SAT

We consider the random $k$-SAT problem with $n$ variables, $m=m(n)$ clauses, and clause density $α=\lim_{n\to\infty}m/n$ for $k=2,3$. It is known that if $α$ is small enough, then the random $k$-SAT problem admits a solution with high probability, which we interpret as the problem being under-constrained. In this paper, we quantify exactly how under-constrained the random $k$-SAT problems are by determining their degrees of freedom, which we define as the threshold for the number of variables we can fix to an arbitrary value before the problem no longer is solvable with high probability. We show that the random $2$-SAT and $3$-SAT problems have $n/m^{1/2}$ and $n/m^{1/3}$ degrees of freedom, respectively. Our main result is an explicit computation of the corresponding threshold functions. Our result shows that the threshold function for the random $2$-SAT problem is regular, while it is non-regular for the random $3$-SAT problem. By regular, we mean continuous and analytic on the interior of its support. This result shows that the random $3$-SAT problem is more sensitive to small changes in the clause density $α$ than the random $2$-SAT problem.

math.PR

Some Results on Random Mixed SAT Problems

In this short paper we present a survey of some results concerning the random SAT problems. To elaborate, the Boolean Satisfiability (SAT) Problem refers to the problem of determining whether a given set of $m$ Boolean constraints over $n$ variables can be simultaneously satisfied, i.e. all evaluate to $1$ under some interpretation of the variables in $\{ 0,1\}$. If we choose the $m$ constraints i.i.d. uniformly at random among the set of disjunctive clauses of length $k$, then the problem is known as the random $k$-SAT problem. It is conjectured that this problem undergoes a structural phase transition; taking $m=αn$ for $α>0$, it is believed that the probability of there existing a satisfying assignment tends in the large $n$ limit to $1$ if $α<α_\mathrm{sat}(k)$, and to $0$ if $α>α_\mathrm{sat}(k)$, for some critical value $α_\mathrm{sat}(k)$ depending on $k$. We review some of the progress made towards proving this and consider similar conjectures and results for the more general case where the clauses are chosen with varying lengths, i.e. for the so-called random mixed SAT problems.

math.PR