Reliable Connectivity for Failures of Incoming Edges (RCIN)
Input
A directed acyclic graph $G = (V, E)$, and two distinguished vertices $s$ and $t$. Additionally, a function $f$ that assigns a nonnegative integer to every vertex $v \in V$ such that $f(v)$ is less than or equal to the indegree of $v$.
Problem
Is there a directed path between $s$ and $t$ consisting of edges that are not in $\bigcup\limits_{v \in V} F(v)$?
Definitions
A choice of failed edges for a vertex $v$ is denoted $F(v)$. It consists of a set of incoming edges to $v$ of cardinality less than or equal to $f(v)$.
Status
$\P$-complete (Kavadias, Kirousis, and Spirakis [1]).
Remarks
The reduction to show hardness is from MCVP. The general problem in which the input graph is not required to be a directed acyclic graph is $\coNP$-complete [1]. Kavadias, Kirousis, and Spirakis point out that the apparent reduction in complexity of RCIN is not due to the restriction to directed acyclic graphs but because of allowing only failures of in-edges [1]. They also show that approximating RCIN is $\P$-hard. They define another problem called Feasible Connectivity in which every vertex causes at least $f(v)$ edges to fail.
The question then is whether there exists at least one failure pattern in which there is a $s$ to $t$ path. This problem is in $\NC$ [1]. Kirousis and Spirakis define another problem called $\epsilon$Reliably Long Path [2]. In this problem exactly one of the arcs leading into a vertex fails; the goal is to compute the maximum number $k$ such that the directed acyclic graph has a path from the source vertex of length at least $k$ with probability one. They show that this problem is $\P$-complete [2].
References
- D. Kavadias, L. M. Kirousis, and P. G. Spirakis (1991). The complexity of the reliable connectivity problem.
- L. M. Kirousis and P. G. Spirakis (1988). Probabilistic log-space reductions and problems probabilistically hard for P.
- Greenlaw, R., Hoover, H. J., and Ruzzo, W. L. (1995). Limits to Parallel Computation: P-Completeness Theory. Oxford University Press. Problem A.2.9.