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20182020
most citedEvaluation of Software Product Quality Metrics

15 citations · 15 across the 2 of their papers we have counts for

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math.PR2020

On the equivalence of pathwise mild and weak solutions for quasilinear SPDEs

Gaurav Dhariwal, Florian Huber, Alexandra Neamţu

The main goal of this work is to relate weak and pathwise mild solutions for parabolic quasilinear stochastic partial differential equations (SPDEs). Extending in a suitable way te…

math.PR2020

Random attractors via pathwise mild solutions for stochastic parabolic evolution equations

Christian Kuehn, Alexandra Neamtu, Stefanie Sonner

We investigate the longtime behavior of stochastic partial differential equations (SPDEs) with differential operators that depend on time and the underlying probability space. In p…

math.PR2019

Global martingale solutions for quasilinear SPDEs via the boundedness-by-entropy method

Gaurav Dhariwal, Florian Huber, Ansgar Jüngel +2

The existence of global-in-time bounded martingale solutions to a general class of cross-diffusion systems with multiplicative Stratonovich noise is proved. The equations describe…

math.PR2019

Dynamics of Stochastic Reaction-Diffusion Equations

Christian Kuehn, Alexandra Neamtu

Stochastic partial differential equations (SPDEs) represent a very active research field with numerous recent developments and breakthrough results. There are several well-establis…

math.PR2019

Random Attractors for Stochastic Partly Dissipative Systems

Christian Kuehn, Alexandra Neamtu, Anne Pein

We prove the existence of a global random attractor for a certain class of stochastic partly dissipative systems. These systems consist of a partial (PDE) and an ordinary different…

math.PR2019

Sample Paths Estimates for Stochastic Fast-Slow Systems driven by Fractional Brownian Motion

Katharina Eichinger, Christian Kuehn, Alexandra Neamtu

We analyze the effect of additive fractional noise with Hurst parameter on fast-slow systems. Our strategy is based on sample paths estimates, similar to the appr…