The Large Deviations of the Whitening Process in Random Constraint Satisfaction Problems
summary
Analyzes the whitening process in random constraint satisfaction problems, focusing on its large deviation properties. Uses probabilistic and statistical physics techniques to characterize atypical trajectories and rare events in how variables become forced or frozen under whitening. Targets random CSP ensembles and studies rates and mechanisms of deviations from typical whitening behavior.
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chapters (10)
- 0:00Start
- 2:20Outline
- 2:45An example of CSP
- 13:14One more phase transition: rigidity
- 17:07Frozen variables and algorithmic difficulty
- 20:10Main results (0)
- 23:49The idea of the computation
- 28:49Main results (11)
- 31:29Minimal contagious sets
- 39:55Conclusions and perspectives
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