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Exactly solvable models of adaptive networks | | Olivier Rivoire
; Julien Barré
; | | Date: |
29 Jun 2006 | | Subject: | Disordered Systems and Neural Networks; Statistical Mechanics | | Abstract: | A satisfiability (SAT-UNSAT) transition takes place for many optimization problems when the number of constraints, graphically represented by links between variables nodes, is brought above some threshold. If the network of constraints is allowed to adapt by redistributing its links, the SAT-UNSAT transition may be delayed and preceded by an intermediate phase where the structure self-organizes to satisfy the constraints. We present an analytic approach, based on the recently introduced cavity method for large deviations, which exactly describes the two phase transitions delimiting this adaptive intermediate phase. We give explicit results for random bond models subject to the connectivity or rigidity percolation transitions, and compare them with numerical simulations. | | Source: | arXiv, cond-mat/0606754 | | Services: | Forum | Review | PDF | Favorites | |
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