Random Combinatorial Matrices
Talkat Algorithmic Advances for Statistical Inference with Combinatorial Structure · 2021-10-11..10-15·
summary
Proves that sparse random F2 matrices (Bernoulli model) are replica symmetric but not strongly: for density D>e the posterior overlap concentrates but randomly flips between two values α_lower and α_upper instead of a single deterministic limit. Main tools are the pinning lemma, a fixed‑point equation for the fraction of frozen variables, and an explicit combinatorial construction using warning propagation that identifies slush variables freeze with probability 1/2. Results match known satisfiability thresholds and are rigorously established.
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chapters (6)
- 0:00Start
- 6:02Bayes-optimal inference problems
- 14:40Sparse random matrices
- 21:13The nullity
- 28:19The Bernoulli matrix
- 42:39Contributions
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