In recent years, instanton calculus has successfully been employed to estimate tail probabilities of rare events in various stochastic dynamical systems. Without further corrections, however, these estimates can only capture the exponential scaling. In this paper, we derive a general, closed form expression for the leading prefactor contribution of the fluctuations around the instanton trajectory for the computation of probability density functions of general observables. The key technique is applying the Gel'fand-Yaglom recursive evaluation method to the suitably discretized Gaussian path integral of the fluctuations, in order to obtain matrix evolution equations that yield the fluctuation determinant. We demonstrate agreement between these p...
We present a path integral calculation of the probability distribution associated with the time-inte...
This article is concerned with the averaging principle and its extensions for stochastic dynamical s...
We describe a simple form of importance sampling designed to bound and compute large-deviation rate ...
For many non-equilibrium dynamics driven by small noise, in physics, chemistry, biology, or economy,...
Large deviation theory and instanton calculus for stochastic systems are widely used to gain insight...
Processes leading to anomalous fluctuations in turbulent flows, referred to as intermittency, are st...
For many non-equilibrium dynamics driven by small noise, in physics, chemistry, biology, or economy,...
Weperform a detailed analytical study of the Recent Fluid Deformation (RFD) model for the onset of L...
The Recent Fluid Deformation Closure (RFDC) model of lagrangian turbulence is recast in path-integra...
Sharp large deviation estimates for stochastic differential equations with small noise, based on min...
We study the tail of $p(U)$, the probability distribution of $U=\vert\psi(0,L)\vert^2$, for $\ln U\g...
International audienceIn the context of Markov evolution, we present two original approaches to obta...
Instanton calculations are performed in the context of stationary Burgers turbulence to estimate the...
Transition pathways of stochastic dynamical systems are typically approximated by instantons. Here w...
The probability density function (PDF) of flux R is computed in systems with logarithmic non-lineari...
We present a path integral calculation of the probability distribution associated with the time-inte...
This article is concerned with the averaging principle and its extensions for stochastic dynamical s...
We describe a simple form of importance sampling designed to bound and compute large-deviation rate ...
For many non-equilibrium dynamics driven by small noise, in physics, chemistry, biology, or economy,...
Large deviation theory and instanton calculus for stochastic systems are widely used to gain insight...
Processes leading to anomalous fluctuations in turbulent flows, referred to as intermittency, are st...
For many non-equilibrium dynamics driven by small noise, in physics, chemistry, biology, or economy,...
Weperform a detailed analytical study of the Recent Fluid Deformation (RFD) model for the onset of L...
The Recent Fluid Deformation Closure (RFDC) model of lagrangian turbulence is recast in path-integra...
Sharp large deviation estimates for stochastic differential equations with small noise, based on min...
We study the tail of $p(U)$, the probability distribution of $U=\vert\psi(0,L)\vert^2$, for $\ln U\g...
International audienceIn the context of Markov evolution, we present two original approaches to obta...
Instanton calculations are performed in the context of stationary Burgers turbulence to estimate the...
Transition pathways of stochastic dynamical systems are typically approximated by instantons. Here w...
The probability density function (PDF) of flux R is computed in systems with logarithmic non-lineari...
We present a path integral calculation of the probability distribution associated with the time-inte...
This article is concerned with the averaging principle and its extensions for stochastic dynamical s...
We describe a simple form of importance sampling designed to bound and compute large-deviation rate ...