## Rough flows.(English)Zbl 1480.60151

Summary: We introduce in this work a concept of rough driver that somehow provides a rough path-like analogue of an enriched object associated with time-dependent vector fields. We use the machinery of approximate flows to build the integration theory of rough drivers and prove well-posedness results for rough differential equations on flows and continuity of the solution flow as a function of the generating rough driver. We show that the theory of semimartingale stochastic flows developed in the 80’s and early 90’s fits nicely in this framework, and obtain as a consequence some strong approximation results for general semimartingale flows and provide a fresh look at large deviation theorems for ‘Gaussian’ stochastic flows.

### MSC:

 60H10 Stochastic ordinary differential equations (aspects of stochastic analysis) 60G44 Martingales with continuous parameter 34F05 Ordinary differential equations and systems with randomness
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### References:

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