# On the Linear Extension Complexity of Stable Set Polytopes for Perfect   Graphs

**Authors:** Hao Hu, Monique Laurent

arXiv: 1706.05496 · 2018-11-20

## TL;DR

This paper investigates the linear extension complexity of stable set polytopes in perfect graphs, providing bounds based on graph decomposition techniques and the structure of the graph.

## Contribution

It introduces bounds on extension complexity for perfect graphs using decomposition into basic perfect graphs via 2-join and skew partitions.

## Key findings

- Extension complexity bounds depend linearly on graph size.
- Decomposition depth influences the extension complexity.
- Structural graph operations affect the nonnegative rank of slack matrices.

## Abstract

We study the linear extension complexity of stable set polytopes of perfect graphs. We make use of known structural results permitting to decompose perfect graphs into basic perfect graphs by means of two graph operations: 2-join and skew partitions. Exploiting the link between extension complexity and the nonnegative rank of an associated slack matrix, we investigate the behaviour of the extension complexity under these graph operations. We show bounds for the extension complexity of the stable set polytope of a perfect graph $G$ depending linearly on the size of $G$ and involving the depth of a decomposition tree of $G$ in terms of basic perfect graphs.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1706.05496/full.md

## References

29 references — full list in the complete paper: https://tomesphere.com/paper/1706.05496/full.md

---
Source: https://tomesphere.com/paper/1706.05496