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| Content Provider | Society for Industrial and Applied Mathematics (SIAM) |
|---|---|
| Author | Bhatnagar, Nayantara Maneva, Elitza |
| Copyright Year | 2011 |
| Abstract | For a tree Markov random field, nonreconstruction is said to hold if as the depth of the tree goes to infinity, the information that a typical configuration at the leaves gives about the value at the root goes to zero. The distribution of the measure at the root conditioned on a typical boundary can be computed using a distributional recurrence. However, the exact computation is not feasible because the support of the distribution grows exponentially with the depth. In this work, we introduce a notion of a survey of a distribution over probability vectors which is a succinct representation of the true distribution. We show that a survey of the distribution of the measure at the root can be constructed by an efficient recursive algorithm. The key properties of surveys are as follows: the size does not grow with the depth, they can be constructed recursively, and they still provide a good bound for the distance between the true conditional distribution and the unconditional distribution at the root. This approach applies to a large class of Markov random field models including randomly generated ones. As an application, we show bounds on the reconstruction threshold for the Potts model on small-degree trees. |
| Starting Page | 854 |
| Ending Page | 871 |
| Page Count | 18 |
| File Format | |
| ISSN | 08954801 |
| DOI | 10.1137/090751244 |
| e-ISSN | 10957146 |
| Journal | SIAM Journal on Discrete Mathematics (SJDMEC) |
| Issue Number | 2 |
| Volume Number | 25 |
| Language | English |
| Publisher | Society for Industrial and Applied Mathematics |
| Publisher Date | 2011-07-01 |
| Access Restriction | Subscribed |
| Subject Keyword | replica symmetry breaking Gibbs measure Disordered systems Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs extremality Interacting random processes; statistical mechanics type models; percolation theory graph coloring Markov random field Potts model Phase transitions reconstruction General GaltonWatson tree |
| Content Type | Text |
| Resource Type | Article |
| Subject | Mathematics |
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