Ghost Value Augmentation for $k$-Edge-Connectivity
D Ellis Hershkowitz, Nathan Klein, Rico Zenklusen
TL;DR
The paper tackles the $k$-ECSS problem by introducing ghost value augmentations into an iterative-relaxation framework, enabling a poly-time rounding that achieves a cost no larger than the optimal $(k+10)$-ECSS LP optimum and yielding a near-$1$-approximation for the related $k$-ECSM problem. A central contribution is the Main Rounding Theorem, which guarantees a cost-preserving integral rounding with at most a $k-9$ decrease in cut-connectivity, enabling strong guarantees despite limited slack. The work also settles a conjecture by Pritchard by proving a $(1+O(1/k))$-approximation for $k$-ECSM and establishes a matching hardness of approximation via a reduction from unweighted TAP, thereby delineating the asymptotic limits of current techniques. Overall, the method advances resource-augmented approaches for connectivity problems and provides the first asymptotically tight LP-based approximation for $k$-ECSM, with implications for subset/Steiner variants.
Abstract
We give a poly-time algorithm for the $k$-edge-connected spanning subgraph ($k$-ECSS) problem that returns a solution of cost no greater than the cheapest $(k+10)$-ECSS on the same graph. Our approach enhances the iterative relaxation framework with a new ingredient, which we call ghost values, that allows for high sparsity in intermediate problems. Our guarantees improve upon the best-known approximation factor of $2$ for $k$-ECSS whenever the optimal value of $(k+10)$-ECSS is close to that of $k$-ECSS. This is a property that holds for the closely related problem $k$-edge-connected spanning multi-subgraph ($k$-ECSM), which is identical to $k$-ECSS except edges can be selected multiple times at the same cost. As a consequence, we obtain a $\left(1+O\left(\frac{1}{k}\right)\right)$-approximation algorithm for $k$-ECSM, which resolves a conjecture of Pritchard and improves upon a recent $\left(1+O\left(\frac{1}{\sqrt{k}}\right)\right)$-approximation algorithm of Karlin, Klein, Oveis Gharan, and Zhang. Moreover, we present a matching lower bound for $k$-ECSM, showing that our approximation ratio is tight up to the constant factor in $O\left(\frac{1}{k}\right)$, unless $P=NP$.
