Singularities in large deviation functions
نویسندگان
چکیده
منابع مشابه
Transport Coefficients from Large Deviation Functions
We describe a method for computing transport coefficients from the direct evaluation of large deviation functions. This method is general, relying on only equilibrium fluctuations, and is statistically efficient, employing trajectory based importance sampling. Equilibrium fluctuations of molecular currents are characterized by their large deviation functions, which are scaled cumulant generatin...
متن کاملDirect evaluation of large-deviation functions.
We introduce a numerical procedure to evaluate directly the probabilities of large deviations of physical quantities, such as current or density, that are local in time. The large-deviation functions are given in terms of the typical properties of a modified dynamics, and since they no longer involve rare events, can be evaluated efficiently and over a wider ranges of values. We illustrate the ...
متن کاملLarge Deviation Asymptotics and Control Variates For Simulating Large Functions∗
Consider the normalized partial sums of a real-valued function F of a Markov chain,
متن کاملA Large Deviation Principle for Random Upper Semicontinuous Functions
We obtain necessary and sufficient conditions in the Large Deviation Principle for random upper semicontinuous functions on a separable Banach space. The main tool is the recent work of Arcones on the LDP for empirical processes.
متن کاملSimulation of large deviation functions using population dynamics
In these notes we present a pedagogical account of the population dynamics methods recently introduced to simulate large deviation functions of dynamical observables in and out of equilibrium. After a brief introduction on large deviation functions and their simulations, we review the method of Giardinà et al. for discrete time processes and that of Lecomte et al. for the continuous time counte...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Statistical Mechanics: Theory and Experiment
سال: 2015
ISSN: 1742-5468
DOI: 10.1088/1742-5468/2015/08/p08026