# Shifting the Phase Transition Threshold for Random Graphs and 2-SAT using Degree Constraints

## TL;DR

This paper demonstrates how degree constraints can shift the phase transition threshold in random graphs and 2-SAT problems, affecting properties like planarity and complexity, with implications for graph statistics within the critical window.

## Contribution

It introduces a method to manipulate the phase transition threshold in random graphs using arbitrary degree constraints, extending understanding of graph properties at critical points.

## Key findings

- Threshold can be accelerated or postponed by degree constraints.
- Probability of nonplanarity and complex components changes sharply at the new threshold.
- Graph statistics within the critical window are analyzed in detail.

## Abstract

We show that by restricting the degrees of the vertices of a graph to an arbitrary set \( \Delta \), the threshold point $ \alpha(\Delta) $ of the phase transition for a random graph with $ n $ vertices and $ m = \alpha(\Delta) n $ edges can be either accelerated (e.g., $ \alpha(\Delta) \approx 0.381 $ for $ \Delta = \{0,1,4,5\} $) or postponed (e.g., $ \alpha(\{ 2^0, 2^1, \cdots, 2^k, \cdots \}) \approx 0.795 $) compared to a classical Erd\H{o}s--R\'{e}nyi random graph with $ \alpha(\mathbb Z_{\geq 0}) = \tfrac12 $. In particular, we prove that the probability of graph being nonplanar and the probability of having a complex component, goes from $ 0 $ to $ 1 $ as $ m $ passes $ \alpha(\Delta) n $. We investigate these probabilities and also different graph statistics inside the critical window of transition (diameter, longest path and circumference of a complex component).