activity
20182020
most citedLagrangian uncertainty quantification and information inequalities for stochastic flows

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

math.PR2020

Time-periodic measures, random periodic orbits, and the linear response for dissipative non-autonomous stochastic differential equations

Michal Branicki, Kenneth Uda

We consider a class of dissipative stochastic differential equations (SDE's) with time-periodic coefficients in finite dimension, and the response of time-asymptotic probability me…

math.PR2019★ 1 cited

Lagrangian uncertainty quantification and information inequalities for stochastic flows

Michal Branicki, Kenneth Uda

We develop a systematic information-theoretic framework for quantification and mitigation of error in probabilistic Lagrangian (i.e., path-based) predictions which are obtained fro…

math.PR2018

Averaging principle for stochastic differential equations in the random periodic regime

Kenneth Uda

We present the validity of stochastic averaging principle for non-autonomous slow-fast stochastic differential equations (SDEs) whose fast motions admit random periodic solutions.…

math.PR2018

Random periodic solutions and ergodicity for stochastic differential equations

Kenneth Uda, Huaizhong Zhao

In this paper, we establish some sufficient conditions for the existence of stable random periodic solutions of stochastic differential equations and ergodicity in the random perio…

math.DS2018

Measures of path-based nonlinear expansion rates and Lagrangian uncertainty in stochastic flows

Michal Branicki, Kenneth Uda

We develop a probabilistic characterisation of trajectorial expansion rates in non-autonomous stochastic dynamical systems that can be defined over a finite time interval and used…