Large deviations, condensation, and giant response in a statistical system
arXiv:1505.01025 · doi:10.1088/1751-8113/48/46/465003
Abstract
We study the probability distribution of the sum of a large number of non-identically distributed random variables . Condensation of fluctuations, the phenomenon whereby one of such variables provides a macroscopic contribution to the global probability, is discussed and interpreted in analogy to phase-transitions in Statistical Mechanics. A general expression for is derived, and its sensitivity to the details of the distribution of a single is worked out. These general results are verified by the analytical and numerical solution of some specific examples.
New improved and extended version (12 pages, 4 figures) with more references and additional discussions. To appear in J. Phys. A: Math. Theor
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- Condensation transition in large deviations of self-similar Gaussian processes with stochastic resetting
- Heat fluctuations of Brownian oscillators in nonstationary processes: fluctuation theorem and condensation transition
- Work fluctuations of self-propelled particles in the phase separated state
- Condensation for random variables conditioned by the value of their sum
- Development and regression of a large fluctuation
- Probability distributions with singularities
- Anomalous scalings of fluctuations of the area swept by a Brownian particle trapped in a potential
- Condensation of degrees emerging through a first-order phase transition in classical random graphs
- Dynamics of fluctuations in the Gaussian model with conserved dynamics
- Subleading-order theory for condensation transitions in large deviations of sums of independent and identically distributed random variables
- Dynamics of fluctuations in the Gaussian model with dissipative Langevin Dynamics