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

Published 6 Jan 2022 in math.CO and cs.CC | (2201.02173v1)

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 dd-pathwidth and clique preserving dd-pathwidth denoted by d−pw(G)d-pw(G) and d−cpw(G)d-cpw(G) where GG is a graph. We show that 2−cpw(G)≤O(tw(G)Δ(G))2-cpw(G) \leq O(tw(G) \Delta(G)) where tw(G)tw(G) and Δ(G)\Delta(G) are, respectively the treewidth and maximal degree of GG. Using this upper bound, we demonstrate that each CNF ψ\psi can be represented as a conjunction of two OBDDs of size 2<sup>O(Δ(ψ)∗tw(ψ)<sup>2)2<sup>{O(\Delta(\psi)*tw(\psi)<sup>2)} where tw(ψ)tw(\psi) is the treewidth of the primal graph of ψ\psi and each variable occurs in ψ\psi at most Δ(ψ)\Delta(\psi) times. Next we use dd-pathwdith to obtain lower bounds for monotone branching programs. In particular, we consider the monotone version of syntactic nondeterministic read dd times branching programs (just forbidding negative literals as edge labels) and introduce a further restriction that each computational path can be partitioned into at most dd read-once subpaths. We call the resulting model separable monotone read dd times branching programs and abbreviate them dd-SMNBPs. For each graph GG without isolated vertices, we introduce a CNF ψ(G)\psi(G) whsose clauses are (u∨e∨v)(u \vee e \vee v) for each edge e=u,ve={u,v} of GG. We prove that a dd-SMNBP representing ψ(G)\psi(G) is of size at least Ω(c<sup>d−pw(G))\Omega(c<sup>{d-pw(G)}) where c=(8/7)<sup>1/12c=(8/7)<sup>{1/12}. We use this 'generic' lower bound to obtain an exponential lower bound for a 'concrete' class of CNFs ψ(Kn)\psi(K_n). In particular, we demonstrate that for each $0<a<1$, the size of n<sup>an<sup>{a}-SMNBP representing ψ(Kn)\psi(K_n) is at least c<sup>n<sup>bc<sup>{n<sup>b} where bb is an arbitrary constant such that $a+b&lt;1$. This lower bound is tight in the sense ψ(Kn)\psi(K_n) can be represented by a poly-sized nn-SMNBP.

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