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20162021
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math.PR2021

The Martingale Problem Method Revisited

David Criens, Peter Pfaffelhuber, Thorsten Schmidt

We use the abstract method of (local) martingale problems in order to give criteria for convergence of stochastic processes. Extending previous notions, the formulation we use is n…

math.PR2021

On the Feller-Dynkin and the Martingale Property of One-Dimensional Diffusions

David Criens

We show that a one-dimensional regular continuous Markov process \(\X\) with scale function \(s\) is a Feller--Dynkin process precisely if the space transformed process \(s (X)\) i…

math.PR2020

On a Theorem by A.S. Cherny for Semilinear Stochastic Partial Differential Equations

David Criens, Moritz Ritter

We consider analytically weak solutions to semilinear stochastic partial differential equations with non-anticipating coefficients driven by cylindrical Brownian motion. The soluti…

math.PR2020

A Dual Yamada-Watanabe Theorem for Levy driven stochastic differential equations

David Criens

We prove a dual Yamada-Watanabe theorem for one-dimensional stochastic differential equations driven by quasi-left continuous semimartingales with independent increments. In partic…

math.PR2020

On Absolute Continuity and Singularity of Multidimensional Diffusions

David Criens

Consider two laws \(P\) and \(Q\) of multidimensional possibly explosive diffusions with common diffusion coefficient \(\mathfrak{a}\) and drift coefficients \(\mathfrak{b}\) and \…

math.PR2019

On the Existence of Semimartingales with Continuous Characteristics

David Criens

We prove the existence of quasi-left continuous semimartingales with continuous local semimartingale characteristics which satisfy a Lyapunov-type or a linear growth condition, whe…