The splitting power of branching programs of bounded repetition and CNFs of bounded width
Igor Razgon

TL;DR
This paper introduces new graph parameters to analyze the power of bounded-repetition branching programs for CNFs, providing upper bounds on their size and establishing exponential lower bounds for certain classes.
Contribution
It defines the parameters $d$-pathwidth and clique preserving $d$-pathwidth, linking them to branching program complexity and deriving both upper and lower bounds for CNF representations.
Findings
CNF $ o$ conjunction of two OBDDs with size $2^{O( ext{max degree} imes ext{treewidth}^2)}$
Lower bounds of size $ ext{exp}( ext{constant}^{d- ext{pathwidth}})$ for monotone branching programs
Exponential lower bounds for CNFs of complete graphs $oldsymbol{ ext{K}_n}$
Abstract
In this paper we study syntactic branching programs of bounded repetition representing CNFs of bounded treewidth. For this purpose we introduce two new structural graph parameters -pathwidth and clique preserving -pathwidth denoted by and where is a graph. We show that where and are, respectively the treewidth and maximal degree of . Using this upper bound, we demonstrate that each CNF can be represented as a conjunction of two OBDDs of size where is the treewidth of the primal graph of and each variable occurs in at most times. Next we use -pathwdith to obtain lower bounds for monotone branching programs. In particular, we consider the monotone version of syntactic nondeterministic read times branching programs…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Graph Theory Research · Optimization and Search Problems · Complexity and Algorithms in Graphs
