Despite being a quintessential example of a hard problem, the quest for finding fast algorithms for deciding satisfiability of propositional formulas has occupied computer scientists both in theory and in practice. In this article, we survey recent progress on designing algorithms with strong refutation guarantees forsmoothedinstances of the -SAT problem. Smoothed instances are formed by slight random perturbations of arbitrary instances, and their study is a way to bridge the gap between worst-case and average-case models of problem instances. Our methods yield new algorithms for smoothed -SAT instances with guarantees that match those for the significantly simpler and well-studied model ofrandomformulas. Additionally, they have led to a novel and unexpected line of attack on some longstanding extremal combinatorial problems in graph theory and coding theory. As an example, we will discuss the resolution of a 2008 conjecture of Feige on the existence of short cycles in hypergraphs.
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This content will become publicly available on January 1, 2026
Searching for (sharp) thresholds in random structures: Where are we now?
We survey the current state of affairs in the study of thresholds and sharp thresholds in random structures on the occasion of the recent proof of the Kahn–Kalai conjecture by Park and Pham and the fairly recent proof of the satisfiability conjecture for large k by Ding, Sly, and Sun. Random discrete structures appear as fundamental objects of study in many scientific and mathematical fields including statistical physics, combinatorics, algorithms and complexity, social choice theory, coding theory, and statistics. While the models and properties of interest in these fields vary widely, much progress has been made through the development of general tools applicable to large families of models and properties all at once. Historically, these tools originated to solve or make progress on specific difficult conjectures in the areas mentioned above. We will survey recent progress on some of these hard problems and describe some challenges for the future. This survey was prepared in conjunction with a talk for the Current Events Bulletin at the 2024 Joint Mathematics Meetings (JMM) in San Francisco, California.
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- Award ID(s):
- 2348743
- PAR ID:
- 10583148
- Publisher / Repository:
- American Mathematical Society
- Date Published:
- Journal Name:
- Bulletin of the American Mathematical Society
- Volume:
- 62
- Issue:
- 1
- ISSN:
- 0273-0979
- Page Range / eLocation ID:
- 113 to 143
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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