Condensation transition in joint large deviations of linear statistics
@inproceedings{SzavitsNossan2014CondensationTI, title={Condensation transition in joint large deviations of linear statistics}, author={Juraj Szavits-Nossan and Martin R. Evans and Satya N. Majumdar}, year={2014} }
Real space condensation is known to occur in stochastic models of mass transport in the regime in which the globally conserved mass density is greater than a critical value. It has been shown within models with factorized stationary states that the condensation can be understood in terms of sums of independent and identically distributed random variables: these exhibit condensation when they are conditioned to a large deviation of their sum. It is well understood that the condensation, whereby… CONTINUE READING
Citations
Publications citing this paper.
SHOWING 1-6 OF 6 CITATIONS
The two-star model: exact solution in the sparse regime and condensation transition
VIEW 4 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED
Condensation with two constraints and disordered Discrete Non Linear Schr\"odinger breathers
VIEW 4 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED
Inequivalence of nonequilibrium path ensembles: the example of stochastic bridges
VIEW 4 EXCERPTS
CITES BACKGROUND
2 2 M ar 2 01 9 Probability distributions with singularities
VIEW 1 EXCERPT
CITES BACKGROUND
Condensation of degrees emerging through a first-order phase transition in classical random graphs.
VIEW 1 EXCERPT
CITES METHODS
Participation Ratio for Constraint-Driven Condensation with Superextensive Mass
VIEW 1 EXCERPT
CITES BACKGROUND
References
Publications referenced by this paper.
SHOWING 1-10 OF 10 REFERENCES
Large deviations of spread measures for Gaussian matrices
VIEW 2 EXCERPTS
Condensation of fluctuations in and out of equilibrium.
VIEW 1 EXCERPT
Extreme Eigenvalues of Wishart Matrices and Entangled Bipartite System The Oxford handbook of Random Matrix Theory ed G Akemann
VIEW 2 EXCERPTS
Stoch
Real-space Condensation in Stochastic Mass Transport Models
VIEW 2 EXCERPTS
Annals of probability 28 1162 [ 19 ] Jeon I
Modelling Extremal Events
VIEW 2 EXCERPTS
Proceedings of the 4th Berkeley Symposium on Mathematical Statistics and Probability vol 2 (London
VIEW 2 EXCERPTS