Convergent numerical approximation of the stochastic total variation flow

Author:

Baňas L’ubomír,Röckner Michael,Wilke André

Abstract

AbstractWe study the stochastic total variation flow (STVF) equation with linear multiplicative noise. By considering a limit of a sequence of regularized stochastic gradient flows with respect to a regularization parameter $$\varepsilon $$ ε we obtain the existence of a unique variational solution of the STVF equation which satisfies a stochastic variational inequality. We propose an energy preserving fully discrete finite element approximation for the regularized gradient flow equation and show that the numerical solution converges to the solution of the unregularized STVF equation. We perform numerical experiments to demonstrate the practicability of the proposed numerical approximation.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Reference15 articles.

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3. Barbu, V., Röckner, M.: Stochastic variational inequalities and applications to the total variation flow perturbed by linear multiplicative noise. Arch. Ration. Mech. Anal. 209(3), 797–834 (2013)

4. Bartels, S., Milicevic, M.: Stability and experimental comparison of prototypical iterative schemes for total variation regularized problems. Comput. Methods Appl. Math. 16(3), 361–388 (2016)

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